Notation by work
Paper III: Typed Transfer, Nonlinear Packets, and Obstruction Theory
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890 symbol spellings in 2142 mathematical passages across 31 selected source files. Subscripts and superscripts have their own entries alongside their base symbols.
The same symbol can have several meanings here. A passage classified as a definition may define another part of its expression. Read the linked context before assigning a meaning.
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\operatorname{inputs}Notation table · 6 passages
Search aliases: inputs operatorname
Notation table · visual_atlas.tex, line 36
t,inputs(t) · A finite operation tree and its syntactically used input labels. · pagerefV20
Exact mathematical passage
t,\operatorname{inputs}(t)
tNotation table · 80 passages
Search aliases: t
Notation table · visual_atlas.tex, line 36
t,inputs(t) · A finite operation tree and its syntactically used input labels. · pagerefV20
Exact mathematical passage
t,\operatorname{inputs}(t)
xNotation table · 223 passages
Search aliases: x
Notation table · visual_atlas.tex, line 35
r(x,p) · A residual at packet p for the named candidate x. · pagerefV19
Exact mathematical passage
x
*Definition passage · 17 passages
Search aliases: *
Definition passage: Direct rotation of nearby packet systems · Read passage · 04_correction_transport.tex, line 898
[Direct rotation of nearby packet systems] Let (P_α)_α∈ I and (Q_α)_α∈ I be complete orthogonal packet systems on the same Hilbert space. Put S( Q, P)=∑_α∈ IQ_α P_α. When S( Q, P) is invertible, define U( Q, P) = S( Q, P) (S( Q, P)^*S( Q, P))^-1/2.
Exact mathematical passage
\Ucal(\Qcal,\Pcal) = S(\Qcal,\Pcal) \big(S(\Qcal,\Pcal)^*S(\Qcal,\Pcal)\big)^{-1/2}.
+Definition passage · 151 passages
Search aliases: +
Definition passage: Composable word and execution operator · Read passage · 01_finite_coordinates.tex, line 174
[Composable word and execution operator] A finite word w=(e_1,…,e_n) is composable when tgt(e_r)=src(e_r+1) (1≤ r<n). Set L_w=L_e_n⋯ L_e_1, L_∅=I. This definition records the written order of execution even though matrix composition is read right to left. statusleanthreeKomorebi.PaperIII.EdgeOperators.PacketGraph.EdgeSystem.Composable; Komorebi.PaperIII.EdgeOperators.PacketGraph.EdgeSystem.wordOp
Exact mathematical passage
\tgt(e_r)=\src(e_{r+1}) \qquad (1\le r<n).
=Definition passage · 597 passages
Search aliases: =
Definition passage: Packet graph and scalar edge system · Read passage · 01_finite_coordinates.tex, line 67
[Packet graph and scalar edge system] For a,b∈ V and r∈ R, define packetMatrix(a,b;r)_yx = r, · y=b and x=a, 0, · otherwise. An edge system is a coefficient function c:E→ R. Its elementary edge operator and total transfer operator are L_e=packetMatrix(src(e),tgt(e);c(e)), T=∑_e∈ EL_e. statusleanthreeKomorebi.PaperIII.EdgeOperators.PacketGraph; Komorebi.PaperIII.EdgeOperators.PacketGraph.packetMatrix; Komorebi.PaperIII.EdgeOperators.PacketGraph.EdgeSystem; Komorebi.PaperIII.EdgeOperators.PacketGr…
Exact mathematical passage
\operatorname{packetMatrix}(a,b;r)_{yx} = \begin{cases} r,&y=b\text{ and }x=a,\\ 0,&\text{otherwise}. \end{cases}
ADefinition passage · 50 passages
Search aliases: A
Definition passage: Grade respecting operation · Read passage · 03_nonlinear_coordinates.tex, line 573
[Grade respecting operation] An r multilinear map μ:A^r→ A respects the grading when μ(A_g_1,…,A_g_r) ⊆ A_g_1+⋯+g_r.
Exact mathematical passage
\mu:A^r\to A
aDefinition passage · 185 passages
Search aliases: a
Definition passage: Packet graph and scalar edge system · Read passage · 01_finite_coordinates.tex, line 66
[Packet graph and scalar edge system] For a,b∈ V and r∈ R, define packetMatrix(a,b;r)_yx = r, · y=b and x=a,
Exact mathematical passage
a,b\in V
a^2Definition passage · 2 passages
Search aliases: a^2
Definition passage: Divided square · Read passage · 03_nonlinear_coordinates.tex, line 665
[Divided square] A divided square on degree one elements is a map q satisfying q(x+y)=q(x)+q(y)+[x,y], q(ax)=a^2q(x), whenever the expressions are defined.
Exact mathematical passage
q(x+y)=q(x)+q(y)+[x,y], \qquad q(ax)=a^2q(x),
A^rDefinition passage · 1 passage
Search aliases: A^r
Definition passage: Grade respecting operation · Read passage · 03_nonlinear_coordinates.tex, line 573
[Grade respecting operation] An r multilinear map μ:A^r→ A respects the grading when μ(A_g_1,…,A_g_r) ⊆ A_g_1+⋯+g_r.
Exact mathematical passage
\mu:A^r\to A
a_0Definition passage · 10 passages
Search aliases: a_0
Definition passage: Connection transport along a path · Read passage · 02_connections_obstructions.tex, line 266
[Connection transport along a path] For a vertex sequence p=(a_0,a_1,…,a_n), define Γ_p = Γ_a_n← a_n-1⋯ Γ_a_1← a_0, Γ_(a_0)=id_C_a_0. If a_n=a_0, then Γ_p is the holonomy of the loop p. statusleanthreeKomorebi.PaperIII.Transport.ReversibleConnection.pathTransport; Komorebi.PaperIII.Transport.ReversibleConnection.VertexPath; Komorebi.PaperIII.Transport.ReversibleConnection.indexedPathTransport
Exact mathematical passage
p=(a_0,a_1,\ldots,a_n)
a_1Definition passage · 5 passages
Search aliases: a_1
Definition passage: Connection transport along a path · Read passage · 02_connections_obstructions.tex, line 266
[Connection transport along a path] For a vertex sequence p=(a_0,a_1,…,a_n), define Γ_p = Γ_a_n← a_n-1⋯ Γ_a_1← a_0, Γ_(a_0)=id_C_a_0. If a_n=a_0, then Γ_p is the holonomy of the loop p. statusleanthreeKomorebi.PaperIII.Transport.ReversibleConnection.pathTransport; Komorebi.PaperIII.Transport.ReversibleConnection.VertexPath; Komorebi.PaperIII.Transport.ReversibleConnection.indexedPathTransport
Exact mathematical passage
p=(a_0,a_1,\ldots,a_n)
A_{g_1}Definition passage · 1 passage
Search aliases: A_g_1
Definition passage: Grade respecting operation · Read passage · 03_nonlinear_coordinates.tex, line 574
[Grade respecting operation] An r multilinear map μ:A^r→ A respects the grading when μ(A_g_1,…,A_g_r) ⊆ A_g_1+⋯+g_r.
Exact mathematical passage
\mu(A_{g_1},\ldots,A_{g_r}) \subseteq A_{g_1+\cdots+g_r}.
A_{g_1+\cdots+g_r}Definition passage · 1 passage
Search aliases: A_g_1+⋯+g_r cdots
Definition passage: Grade respecting operation · Read passage · 03_nonlinear_coordinates.tex, line 574
[Grade respecting operation] An r multilinear map μ:A^r→ A respects the grading when μ(A_g_1,…,A_g_r) ⊆ A_g_1+⋯+g_r.
Exact mathematical passage
\mu(A_{g_1},\ldots,A_{g_r}) \subseteq A_{g_1+\cdots+g_r}.
A_{g_r}Definition passage · 1 passage
Search aliases: A_g_r
Definition passage: Grade respecting operation · Read passage · 03_nonlinear_coordinates.tex, line 574
[Grade respecting operation] An r multilinear map μ:A^r→ A respects the grading when μ(A_g_1,…,A_g_r) ⊆ A_g_1+⋯+g_r.
Exact mathematical passage
\mu(A_{g_1},\ldots,A_{g_r}) \subseteq A_{g_1+\cdots+g_r}.
a_nDefinition passage · 9 passages
Search aliases: a_n
Definition passage: Connection transport along a path · Read passage · 02_connections_obstructions.tex, line 266
[Connection transport along a path] For a vertex sequence p=(a_0,a_1,…,a_n), define Γ_p = Γ_a_n← a_n-1⋯ Γ_a_1← a_0, Γ_(a_0)=id_C_a_0. If a_n=a_0, then Γ_p is the holonomy of the loop p. statusleanthreeKomorebi.PaperIII.Transport.ReversibleConnection.pathTransport; Komorebi.PaperIII.Transport.ReversibleConnection.VertexPath; Komorebi.PaperIII.Transport.ReversibleConnection.indexedPathTransport
Exact mathematical passage
p=(a_0,a_1,\ldots,a_n)
a_{n-1}Definition passage · 2 passages
Search aliases: a_n-1
Definition passage: Connection transport along a path · Read passage · 02_connections_obstructions.tex, line 267
[Connection transport along a path] For a vertex sequence p=(a_0,a_1,…,a_n), define Γ_p = Γ_a_n← a_n-1⋯ Γ_a_1← a_0, Γ_(a_0)=id_C_a_0. If a_n=a_0, then Γ_p is the holonomy of the loop p. statusleanthreeKomorebi.PaperIII.Transport.ReversibleConnection.pathTransport; Komorebi.PaperIII.Transport.ReversibleConnection.VertexPath; Komorebi.PaperIII.Transport.ReversibleConnection.indexedPathTransport
Exact mathematical passage
\Gamma_p = \Gamma_{a_n\leftarrow a_{n-1}}\cdots \Gamma_{a_1\leftarrow a_0}, \qquad \Gamma_{(a_0)}=\id_{C_{a_0}}.
\AcalDefinition passage · 17 passages
Search aliases: Acal A mathcal
Definition passage: Nonlinear packet coordinate map · Read passage · 03_nonlinear_coordinates.tex, line 106
[Nonlinear packet coordinate map] Let P be a packet system on X and let Q be a packet system on Y. For any map F:X→ Y, define F_ Q← P = A_ QF S_ P. Thus F_ Q← P((x_α)_α) = ( Q_γ F(∑_α x_α) )_γ.
Exact mathematical passage
F_{\Qcal\leftarrow\Pcal} = \Acal_{\Qcal}F\Scal_{\Pcal}.
\Acal_{\Qcal}Definition passage · 7 passages
Search aliases: Acal_Qcal A_ Q Acal Qcal mathcal mathcal
Definition passage: Nonlinear packet coordinate map · Read passage · 03_nonlinear_coordinates.tex, line 106
[Nonlinear packet coordinate map] Let P be a packet system on X and let Q be a packet system on Y. For any map F:X→ Y, define F_ Q← P = A_ QF S_ P. Thus F_ Q← P((x_α)_α) = ( Q_γ F(∑_α x_α) )_γ.
Exact mathematical passage
F_{\Qcal\leftarrow\Pcal} = \Acal_{\Qcal}F\Scal_{\Pcal}.
\operatorname{Aut}Definition passage · 3 passages
Search aliases: Aut operatorname
Definition passage: Noncanonical connection normalized at each chart · Read passage · 02_connections_obstructions.tex, line 13
[Noncanonical connection normalized at each chart] A minimal connection is a family Γ_b← a∈Aut_R(M) (a,b∈ B) with only Γ_a← a=id_M. Neither inversion on reversed edges nor the cocycle law is a field of the structure. statusleanthreeKomorebi.PaperIII.Transport.Connection
Exact mathematical passage
\Gamma_{b\leftarrow a}\in\operatorname{Aut}_R(M) \qquad(a,b\in B)
\operatorname{Aut}_RDefinition passage · 3 passages
Search aliases: Aut_R operatorname
Definition passage: Noncanonical connection normalized at each chart · Read passage · 02_connections_obstructions.tex, line 13
[Noncanonical connection normalized at each chart] A minimal connection is a family Γ_b← a∈Aut_R(M) (a,b∈ B) with only Γ_a← a=id_M. Neither inversion on reversed edges nor the cocycle law is a field of the structure. statusleanthreeKomorebi.PaperIII.Transport.Connection
Exact mathematical passage
\Gamma_{b\leftarrow a}\in\operatorname{Aut}_R(M) \qquad(a,b\in B)
BDefinition passage · 59 passages
Search aliases: B
Definition passage: Noncanonical connection normalized at each chart · Read passage · 02_connections_obstructions.tex, line 13
[Noncanonical connection normalized at each chart] A minimal connection is a family Γ_b← a∈Aut_R(M) (a,b∈ B) with only Γ_a← a=id_M. Neither inversion on reversed edges nor the cocycle law is a field of the structure. statusleanthreeKomorebi.PaperIII.Transport.Connection
Exact mathematical passage
\Gamma_{b\leftarrow a}\in\operatorname{Aut}_R(M) \qquad(a,b\in B)
bDefinition passage · 130 passages
Search aliases: b
Definition passage: Packet graph and scalar edge system · Read passage · 01_finite_coordinates.tex, line 66
[Packet graph and scalar edge system] For a,b∈ V and r∈ R, define packetMatrix(a,b;r)_yx = r, · y=b and x=a,
Exact mathematical passage
a,b\in V
\operatorname{binary}Definition passage · 1 passage
Search aliases: binary operatorname
Definition passage: Finite grammar for operation trees · Read passage · 02_connections_obstructions.tex, line 772
[Finite grammar for operation trees] For types of input labels I, constants K, unary symbols U, and binary symbols B, the released formal grammar has four constructors: t ::= · input(i) midconstant(k) midunary(u,t) · midbinary(b,t_1,t_2). Given an arbitrary value type Y, evaluation takes completely explicit maps I→ Y, K→ Y, U→ Y→ Y, B→ Y→ Y→ Y. No algebraic, continuity, or differentiability law is imposed on these semantics. statusleanthreeKomorebi.PaperIII.NonlinearObstructions.OperationTree; K…
Exact mathematical passage
\begin{aligned} t ::={}&\operatorname{input}(i) \mid\operatorname{constant}(k) \mid\operatorname{unary}(u,t)\\ &\mid\operatorname{binary}(b,t_1,t_2). \end{aligned}
\bulletDefinition passage · 12 passages
Search aliases: bullet
Definition passage: Mapping cone · Read passage · 03_nonlinear_coordinates.tex, line 1124
[Mapping cone] Let D:C^bullet→ E^bullet be a cochain map. Its mapping cone is Cone(D)^n=E^n⊕ C^n+1 with differential d_Cone(e,c)=(d_Ee+Dc,-d_Cc).
Exact mathematical passage
D:C^\bullet\to E^\bullet
CDefinition passage · 90 passages
Search aliases: C
Definition passage: Normalized reversible connection · Read passage · 02_connections_obstructions.tex, line 119
[Normalized reversible connection] A normalized reversible connection is a family of linear equivalences Γ_b← a:C_axrightarrow ∼ C_b (a,b∈ B) such that Γ_a← a=id, Γ_a← b=Γ_b← a^-1. No cocycle equation is included in the structure. statusleanthreeKomorebi.PaperIII.Transport.ReversibleConnection
Exact mathematical passage
\Gamma_{b\leftarrow a}:C_a\xrightarrow{\;\sim\;}C_b \qquad(a,b\in B)
cDefinition passage · 135 passages
Search aliases: c
Definition passage: Packet graph and scalar edge system · Read passage · 01_finite_coordinates.tex, line 75
0, · otherwise. An edge system is a coefficient function c:E→ R. Its elementary edge operator and total transfer operator are L_e=packetMatrix(src(e),tgt(e);c(e)), T=∑_e∈ EL_e. statusleanthreeKomorebi.PaperIII.EdgeOperators.PacketGraph; Komorebi.PaperIII.EdgeOperators.PacketGraph.packetMatrix; Komorebi.PaperIII.EdgeOperators.PacketGraph.EdgeSystem; Komorebi.PaperIII.EdgeOperators.PacketGraph.EdgeSystem.edgeOp; Komorebi.PaperIII.EdgeOperators.PacketGraph.EdgeSystem.transferOp
Exact mathematical passage
c:E\to R
C^\bulletDefinition passage · 11 passages
Search aliases: C^bullet bullet
Definition passage: Mapping cone · Read passage · 03_nonlinear_coordinates.tex, line 1124
[Mapping cone] Let D:C^bullet→ E^bullet be a cochain map. Its mapping cone is Cone(D)^n=E^n⊕ C^n+1 with differential d_Cone(e,c)=(d_Ee+Dc,-d_Cc).
Exact mathematical passage
D:C^\bullet\to E^\bullet
C^{n+1}Definition passage · 2 passages
Search aliases: C^n+1
Definition passage: Mapping cone · Read passage · 03_nonlinear_coordinates.tex, line 1125
[Mapping cone] Let D:C^bullet→ E^bullet be a cochain map. Its mapping cone is Cone(D)^n=E^n⊕ C^n+1 with differential d_Cone(e,c)=(d_Ee+Dc,-d_Cc).
Exact mathematical passage
\Cone(D)^n=E^n\oplus C^{n+1}
C_aDefinition passage · 17 passages
Search aliases: C_a
Definition passage: Normalized reversible connection · Read passage · 02_connections_obstructions.tex, line 119
[Normalized reversible connection] A normalized reversible connection is a family of linear equivalences Γ_b← a:C_axrightarrow ∼ C_b (a,b∈ B) such that Γ_a← a=id, Γ_a← b=Γ_b← a^-1. No cocycle equation is included in the structure. statusleanthreeKomorebi.PaperIII.Transport.ReversibleConnection
Exact mathematical passage
\Gamma_{b\leftarrow a}:C_a\xrightarrow{\;\sim\;}C_b \qquad(a,b\in B)
C_{a_0}Definition passage · 1 passage
Search aliases: C_a_0
Definition passage: Connection transport along a path · Read passage · 02_connections_obstructions.tex, line 267
[Connection transport along a path] For a vertex sequence p=(a_0,a_1,…,a_n), define Γ_p = Γ_a_n← a_n-1⋯ Γ_a_1← a_0, Γ_(a_0)=id_C_a_0. If a_n=a_0, then Γ_p is the holonomy of the loop p. statusleanthreeKomorebi.PaperIII.Transport.ReversibleConnection.pathTransport; Komorebi.PaperIII.Transport.ReversibleConnection.VertexPath; Komorebi.PaperIII.Transport.ReversibleConnection.indexedPathTransport
Exact mathematical passage
\Gamma_p = \Gamma_{a_n\leftarrow a_{n-1}}\cdots \Gamma_{a_1\leftarrow a_0}, \qquad \Gamma_{(a_0)}=\id_{C_{a_0}}.
C_bDefinition passage · 1 passage
Search aliases: C_b
Definition passage: Normalized reversible connection · Read passage · 02_connections_obstructions.tex, line 119
[Normalized reversible connection] A normalized reversible connection is a family of linear equivalences Γ_b← a:C_axrightarrow ∼ C_b (a,b∈ B) such that Γ_a← a=id, Γ_a← b=Γ_b← a^-1. No cocycle equation is included in the structure. statusleanthreeKomorebi.PaperIII.Transport.ReversibleConnection
Exact mathematical passage
\Gamma_{b\leftarrow a}:C_a\xrightarrow{\;\sim\;}C_b \qquad(a,b\in B)
C_cDefinition passage · 3 passages
Search aliases: C_c
Definition passage: Cocycle defect · Read passage · 02_connections_obstructions.tex, line 176
[Cocycle defect] For a,b,c∈ B, define the additive cocycle defect Δ_c,b,a = Γ_c← bΓ_b← a -Γ_c← a ∈Hom_R(C_a,C_c). statusleanthreeKomorebi.PaperIII.Transport.ReversibleConnection.cocycleDefect
Exact mathematical passage
\Delta_{c,b,a} = \Gamma_{c\leftarrow b}\Gamma_{b\leftarrow a} -\Gamma_{c\leftarrow a} \in\Hom_R(C_a,C_c).
C_XDefinition passage · 6 passages
Search aliases: C_X
Definition passage: Nonlinear refinement defect · Read passage · 03_nonlinear_coordinates.tex, line 737
[Nonlinear refinement defect] The pointwise defect of F is Δ_F(x) = C_YF_f(x)-F_c(C_Xx). The two models are exactly compatible when Δ_F vanishes everywhere.
Exact mathematical passage
\Delta_F(x) = C_YF_f(x)-F_c(C_Xx).
C_YDefinition passage · 6 passages
Search aliases: C_Y
Definition passage: Nonlinear refinement defect · Read passage · 03_nonlinear_coordinates.tex, line 737
[Nonlinear refinement defect] The pointwise defect of F is Δ_F(x) = C_YF_f(x)-F_c(C_Xx). The two models are exactly compatible when Δ_F vanishes everywhere.
Exact mathematical passage
\Delta_F(x) = C_YF_f(x)-F_c(C_Xx).
\cADefinition passage · 19 passages
Search aliases: cA A mathcal
Definition passage: Canonical exact coordinate transport · Read passage · 01_finite_coordinates.tex, line 472
[Canonical exact coordinate transport] For two exact packet systems on the same ambient module, define J^X_b← a = A_b S_a: Coord( P^a)⟶Coord( P^b). The arrow points from the source coordinate system a to the target coordinate system b. statusleanpriorKomorebi.PaperII.NestedRefinement.refineCoordinates; Komorebi.PaperII.NestedRefinement.coordinateRefinementEquiv
Exact mathematical passage
J^X_{b\leftarrow a} = \cA_b\cS_a: \Coord(\cP^a)\longrightarrow\Coord(\cP^b).
\cA_bDefinition passage · 3 passages
Search aliases: cA_b A_b cA mathcal
Definition passage: Canonical exact coordinate transport · Read passage · 01_finite_coordinates.tex, line 472
[Canonical exact coordinate transport] For two exact packet systems on the same ambient module, define J^X_b← a = A_b S_a: Coord( P^a)⟶Coord( P^b). The arrow points from the source coordinate system a to the target coordinate system b. statusleanpriorKomorebi.PaperII.NestedRefinement.refineCoordinates; Komorebi.PaperII.NestedRefinement.coordinateRefinementEquiv
Exact mathematical passage
J^X_{b\leftarrow a} = \cA_b\cS_a: \Coord(\cP^a)\longrightarrow\Coord(\cP^b).
\cokerDefinition passage · 26 passages
Search aliases: coker operatorname
Definition passage: Linear correction datum · Read passage · 03_nonlinear_coordinates.tex, line 912
[Linear correction datum] A linear correction datum consists of a homomorphism D:U⟶ V and a defect r∈ V. A correction is an element u∈ U satisfying Du=-r. The obstruction class is Ob_D(r)=[r]∈coker D=V/im D.
Exact mathematical passage
\Ob_D(r)=[r]\in\coker D=V/\im D.
\ConeDefinition passage · 7 passages
Search aliases: Cone operatorname
Definition passage: Mapping cone · Read passage · 03_nonlinear_coordinates.tex, line 1125
[Mapping cone] Let D:C^bullet→ E^bullet be a cochain map. Its mapping cone is Cone(D)^n=E^n⊕ C^n+1 with differential d_Cone(e,c)=(d_Ee+Dc,-d_Cc).
Exact mathematical passage
\Cone(D)^n=E^n\oplus C^{n+1}
\operatorname{constant}Definition passage · 1 passage
Search aliases: constant operatorname
Definition passage: Finite grammar for operation trees · Read passage · 02_connections_obstructions.tex, line 772
[Finite grammar for operation trees] For types of input labels I, constants K, unary symbols U, and binary symbols B, the released formal grammar has four constructors: t ::= · input(i) midconstant(k) midunary(u,t) · midbinary(b,t_1,t_2). Given an arbitrary value type Y, evaluation takes completely explicit maps I→ Y, K→ Y, U→ Y→ Y, B→ Y→ Y→ Y. No algebraic, continuity, or differentiability law is imposed on these semantics. statusleanthreeKomorebi.PaperIII.NonlinearObstructions.OperationTree; K…
Exact mathematical passage
\begin{aligned} t ::={}&\operatorname{input}(i) \mid\operatorname{constant}(k) \mid\operatorname{unary}(u,t)\\ &\mid\operatorname{binary}(b,t_1,t_2). \end{aligned}
\CoordDefinition passage · 3 passages
Search aliases: Coord operatorname
Definition passage: Canonical exact coordinate transport · Read passage · 01_finite_coordinates.tex, line 472
[Canonical exact coordinate transport] For two exact packet systems on the same ambient module, define J^X_b← a = A_b S_a: Coord( P^a)⟶Coord( P^b). The arrow points from the source coordinate system a to the target coordinate system b. statusleanpriorKomorebi.PaperII.NestedRefinement.refineCoordinates; Komorebi.PaperII.NestedRefinement.coordinateRefinementEquiv
Exact mathematical passage
J^X_{b\leftarrow a} = \cA_b\cS_a: \Coord(\cP^a)\longrightarrow\Coord(\cP^b).
\cPDefinition passage · 5 passages
Search aliases: cP P mathcal
Definition passage: Canonical exact coordinate transport · Read passage · 01_finite_coordinates.tex, line 472
[Canonical exact coordinate transport] For two exact packet systems on the same ambient module, define J^X_b← a = A_b S_a: Coord( P^a)⟶Coord( P^b). The arrow points from the source coordinate system a to the target coordinate system b. statusleanpriorKomorebi.PaperII.NestedRefinement.refineCoordinates; Komorebi.PaperII.NestedRefinement.coordinateRefinementEquiv
Exact mathematical passage
J^X_{b\leftarrow a} = \cA_b\cS_a: \Coord(\cP^a)\longrightarrow\Coord(\cP^b).
\cP^aDefinition passage · 5 passages
Search aliases: cP^a P^a cP mathcal
Definition passage: Canonical exact coordinate transport · Read passage · 01_finite_coordinates.tex, line 472
[Canonical exact coordinate transport] For two exact packet systems on the same ambient module, define J^X_b← a = A_b S_a: Coord( P^a)⟶Coord( P^b). The arrow points from the source coordinate system a to the target coordinate system b. statusleanpriorKomorebi.PaperII.NestedRefinement.refineCoordinates; Komorebi.PaperII.NestedRefinement.coordinateRefinementEquiv
Exact mathematical passage
J^X_{b\leftarrow a} = \cA_b\cS_a: \Coord(\cP^a)\longrightarrow\Coord(\cP^b).
\cP^bDefinition passage · 2 passages
Search aliases: cP^b P^b cP mathcal
Definition passage: Canonical exact coordinate transport · Read passage · 01_finite_coordinates.tex, line 472
[Canonical exact coordinate transport] For two exact packet systems on the same ambient module, define J^X_b← a = A_b S_a: Coord( P^a)⟶Coord( P^b). The arrow points from the source coordinate system a to the target coordinate system b. statusleanpriorKomorebi.PaperII.NestedRefinement.refineCoordinates; Komorebi.PaperII.NestedRefinement.coordinateRefinementEquiv
Exact mathematical passage
J^X_{b\leftarrow a} = \cA_b\cS_a: \Coord(\cP^a)\longrightarrow\Coord(\cP^b).
\cSDefinition passage · 18 passages
Search aliases: cS S mathcal
Definition passage: Canonical exact coordinate transport · Read passage · 01_finite_coordinates.tex, line 472
[Canonical exact coordinate transport] For two exact packet systems on the same ambient module, define J^X_b← a = A_b S_a: Coord( P^a)⟶Coord( P^b). The arrow points from the source coordinate system a to the target coordinate system b. statusleanpriorKomorebi.PaperII.NestedRefinement.refineCoordinates; Komorebi.PaperII.NestedRefinement.coordinateRefinementEquiv
Exact mathematical passage
J^X_{b\leftarrow a} = \cA_b\cS_a: \Coord(\cP^a)\longrightarrow\Coord(\cP^b).
\cS_aDefinition passage · 5 passages
Search aliases: cS_a S_a cS mathcal
Definition passage: Canonical exact coordinate transport · Read passage · 01_finite_coordinates.tex, line 472
[Canonical exact coordinate transport] For two exact packet systems on the same ambient module, define J^X_b← a = A_b S_a: Coord( P^a)⟶Coord( P^b). The arrow points from the source coordinate system a to the target coordinate system b. statusleanpriorKomorebi.PaperII.NestedRefinement.refineCoordinates; Komorebi.PaperII.NestedRefinement.coordinateRefinementEquiv
Exact mathematical passage
J^X_{b\leftarrow a} = \cA_b\cS_a: \Coord(\cP^a)\longrightarrow\Coord(\cP^b).
\cWDefinition passage · 4 passages
Search aliases: cW W mathcal
Definition passage: Recursive word expansion · Read passage · 01_finite_coordinates.tex, line 213
[Recursive word expansion] Define W_0=I, W_n+1=T W_n. statusleanthreeKomorebi.PaperIII.EdgeOperators.PacketGraph.EdgeSystem.wordExpansion
Exact mathematical passage
\cW_0=I, \qquad \cW_{n+1}=T\cW_n.
\cW_0Definition passage · 1 passage
Search aliases: cW_0 W_0 cW mathcal
Definition passage: Recursive word expansion · Read passage · 01_finite_coordinates.tex, line 213
[Recursive word expansion] Define W_0=I, W_n+1=T W_n. statusleanthreeKomorebi.PaperIII.EdgeOperators.PacketGraph.EdgeSystem.wordExpansion
Exact mathematical passage
\cW_0=I, \qquad \cW_{n+1}=T\cW_n.
\cW_nDefinition passage · 4 passages
Search aliases: cW_n W_n cW mathcal
Definition passage: Recursive word expansion · Read passage · 01_finite_coordinates.tex, line 213
[Recursive word expansion] Define W_0=I, W_n+1=T W_n. statusleanthreeKomorebi.PaperIII.EdgeOperators.PacketGraph.EdgeSystem.wordExpansion
Exact mathematical passage
\cW_0=I, \qquad \cW_{n+1}=T\cW_n.
\cW_{n+1}Definition passage · 2 passages
Search aliases: cW_n+1 W_n+1 cW mathcal
Definition passage: Recursive word expansion · Read passage · 01_finite_coordinates.tex, line 213
[Recursive word expansion] Define W_0=I, W_n+1=T W_n. statusleanthreeKomorebi.PaperIII.EdgeOperators.PacketGraph.EdgeSystem.wordExpansion
Exact mathematical passage
\cW_0=I, \qquad \cW_{n+1}=T\cW_n.
DDefinition passage · 151 passages
Search aliases: D
Definition passage: Packet jet · Read passage · 03_nonlinear_coordinates.tex, line 220
[Packet jet] For 1≤ r≤ m, define J^r_γmidα_1,…,α_rF(x) = Q_γ D^rF(x) |_X_α_1×⋯× X_α_r. This is a continuous multilinear map X_α_1×⋯× X_α_r ⟶ Y_γ.
Exact mathematical passage
J^{r}_{\gamma\mid\alpha_1,\ldots,\alpha_r}F(x) = Q_\gamma D^rF(x) \big|_{X_{\alpha_1}\times\cdots\times X_{\alpha_r}}.
dDefinition passage · 41 passages
Search aliases: d
Definition passage: Mapping cone · Read passage · 03_nonlinear_coordinates.tex, line 1129
[Mapping cone] Let D:C^bullet→ E^bullet be a cochain map. Its mapping cone is Cone(D)^n=E^n⊕ C^n+1 with differential d_Cone(e,c)=(d_Ee+Dc,-d_Cc).
Exact mathematical passage
d_{\Cone}(e,c)=(d_Ee+Dc,-d_Cc).
D^rDefinition passage · 10 passages
Search aliases: D^r
Definition passage: Packet jet · Read passage · 03_nonlinear_coordinates.tex, line 220
[Packet jet] For 1≤ r≤ m, define J^r_γmidα_1,…,α_rF(x) = Q_γ D^rF(x) |_X_α_1×⋯× X_α_r. This is a continuous multilinear map X_α_1×⋯× X_α_r ⟶ Y_γ.
Exact mathematical passage
J^{r}_{\gamma\mid\alpha_1,\ldots,\alpha_r}F(x) = Q_\gamma D^rF(x) \big|_{X_{\alpha_1}\times\cdots\times X_{\alpha_r}}.
d_CDefinition passage · 2 passages
Search aliases: d_C
Definition passage: Mapping cone · Read passage · 03_nonlinear_coordinates.tex, line 1129
[Mapping cone] Let D:C^bullet→ E^bullet be a cochain map. Its mapping cone is Cone(D)^n=E^n⊕ C^n+1 with differential d_Cone(e,c)=(d_Ee+Dc,-d_Cc).
Exact mathematical passage
d_{\Cone}(e,c)=(d_Ee+Dc,-d_Cc).
d_{\Cone}Definition passage · 2 passages
Search aliases: d_Cone Cone operatorname
Definition passage: Mapping cone · Read passage · 03_nonlinear_coordinates.tex, line 1129
[Mapping cone] Let D:C^bullet→ E^bullet be a cochain map. Its mapping cone is Cone(D)^n=E^n⊕ C^n+1 with differential d_Cone(e,c)=(d_Ee+Dc,-d_Cc).
Exact mathematical passage
d_{\Cone}(e,c)=(d_Ee+Dc,-d_Cc).
d_EDefinition passage · 3 passages
Search aliases: d_E
Definition passage: Mapping cone · Read passage · 03_nonlinear_coordinates.tex, line 1129
[Mapping cone] Let D:C^bullet→ E^bullet be a cochain map. Its mapping cone is Cone(D)^n=E^n⊕ C^n+1 with differential d_Cone(e,c)=(d_Ee+Dc,-d_Cc).
Exact mathematical passage
d_{\Cone}(e,c)=(d_Ee+Dc,-d_Cc).
EDefinition passage · 45 passages
Search aliases: E
Definition passage: Packet graph and scalar edge system · Read passage · 01_finite_coordinates.tex, line 75
0, · otherwise. An edge system is a coefficient function c:E→ R. Its elementary edge operator and total transfer operator are L_e=packetMatrix(src(e),tgt(e);c(e)), T=∑_e∈ EL_e. statusleanthreeKomorebi.PaperIII.EdgeOperators.PacketGraph; Komorebi.PaperIII.EdgeOperators.PacketGraph.packetMatrix; Komorebi.PaperIII.EdgeOperators.PacketGraph.EdgeSystem; Komorebi.PaperIII.EdgeOperators.PacketGraph.EdgeSystem.edgeOp; Komorebi.PaperIII.EdgeOperators.PacketGraph.EdgeSystem.transferOp
Exact mathematical passage
c:E\to R
eDefinition passage · 99 passages
Search aliases: e
Definition passage: Packet graph and scalar edge system · Read passage · 01_finite_coordinates.tex, line 77
0, · otherwise. An edge system is a coefficient function c:E→ R. Its elementary edge operator and total transfer operator are L_e=packetMatrix(src(e),tgt(e);c(e)), T=∑_e∈ EL_e. statusleanthreeKomorebi.PaperIII.EdgeOperators.PacketGraph; Komorebi.PaperIII.EdgeOperators.PacketGraph.packetMatrix; Komorebi.PaperIII.EdgeOperators.PacketGraph.EdgeSystem; Komorebi.PaperIII.EdgeOperators.PacketGraph.EdgeSystem.edgeOp; Komorebi.PaperIII.EdgeOperators.PacketGraph.EdgeSystem.transferOp
Exact mathematical passage
L_e=\operatorname{packetMatrix}(\src(e),\tgt(e);c(e)), \qquad T=\sum_{e\in E}L_e.
E^\bulletDefinition passage · 2 passages
Search aliases: E^bullet bullet
Definition passage: Mapping cone · Read passage · 03_nonlinear_coordinates.tex, line 1124
[Mapping cone] Let D:C^bullet→ E^bullet be a cochain map. Its mapping cone is Cone(D)^n=E^n⊕ C^n+1 with differential d_Cone(e,c)=(d_Ee+Dc,-d_Cc).
Exact mathematical passage
D:C^\bullet\to E^\bullet
E^nDefinition passage · 4 passages
Search aliases: E^n
Definition passage: Mapping cone · Read passage · 03_nonlinear_coordinates.tex, line 1125
[Mapping cone] Let D:C^bullet→ E^bullet be a cochain map. Its mapping cone is Cone(D)^n=E^n⊕ C^n+1 with differential d_Cone(e,c)=(d_Ee+Dc,-d_Cc).
Exact mathematical passage
\Cone(D)^n=E^n\oplus C^{n+1}
e_1Definition passage · 28 passages
Search aliases: e_1
Definition passage: Composable word and execution operator · Read passage · 01_finite_coordinates.tex, line 173
[Composable word and execution operator] A finite word w=(e_1,…,e_n) is composable when tgt(e_r)=src(e_r+1) (1≤ r<n). Set L_w=L_e_n⋯ L_e_1, L_∅=I. This definition records the written order of execution even though matrix composition is read right to left. statusleanthreeKomorebi.PaperIII.EdgeOperators.PacketGraph.EdgeSystem.Composable; Komorebi.PaperIII.EdgeOperators.PacketGraph.EdgeSystem.wordOp
Exact mathematical passage
w=(e_1,\ldots,e_n)
e_nDefinition passage · 17 passages
Search aliases: e_n
Definition passage: Composable word and execution operator · Read passage · 01_finite_coordinates.tex, line 173
[Composable word and execution operator] A finite word w=(e_1,…,e_n) is composable when tgt(e_r)=src(e_r+1) (1≤ r<n). Set L_w=L_e_n⋯ L_e_1, L_∅=I. This definition records the written order of execution even though matrix composition is read right to left. statusleanthreeKomorebi.PaperIII.EdgeOperators.PacketGraph.EdgeSystem.Composable; Komorebi.PaperIII.EdgeOperators.PacketGraph.EdgeSystem.wordOp
Exact mathematical passage
w=(e_1,\ldots,e_n)
e_rDefinition passage · 1 passage
Search aliases: e_r
Definition passage: Composable word and execution operator · Read passage · 01_finite_coordinates.tex, line 174
[Composable word and execution operator] A finite word w=(e_1,…,e_n) is composable when tgt(e_r)=src(e_r+1) (1≤ r<n). Set L_w=L_e_n⋯ L_e_1, L_∅=I. This definition records the written order of execution even though matrix composition is read right to left. statusleanthreeKomorebi.PaperIII.EdgeOperators.PacketGraph.EdgeSystem.Composable; Komorebi.PaperIII.EdgeOperators.PacketGraph.EdgeSystem.wordOp
Exact mathematical passage
\tgt(e_r)=\src(e_{r+1}) \qquad (1\le r<n).
e_{r+1}Definition passage · 1 passage
Search aliases: e_r+1
Definition passage: Composable word and execution operator · Read passage · 01_finite_coordinates.tex, line 174
[Composable word and execution operator] A finite word w=(e_1,…,e_n) is composable when tgt(e_r)=src(e_r+1) (1≤ r<n). Set L_w=L_e_n⋯ L_e_1, L_∅=I. This definition records the written order of execution even though matrix composition is read right to left. statusleanthreeKomorebi.PaperIII.EdgeOperators.PacketGraph.EdgeSystem.Composable; Komorebi.PaperIII.EdgeOperators.PacketGraph.EdgeSystem.wordOp
Exact mathematical passage
\tgt(e_r)=\src(e_{r+1}) \qquad (1\le r<n).
\evDefinition passage · 1 passage
Search aliases: ev operatorname
Definition passage: Typed operation tree and evaluation · Read passage · 02_connections_obstructions.tex, line 848
[Typed operation tree and evaluation] A typed operation tree is recursively either a leaf of declared color or a node labeled by σ, with one correctly colored child for each input slot of σ. Evaluation is recursive: ev(node(σ;t_1,…,t_r(σ))) = Φ_σ(ev(t_1),…,ev(t_r(σ))). statusroadmapCandidate API: leannameKomorebi.PaperIII.NonlinearObstructions.ColoredOperationTree and leannameColoredOperationTree.eval. This is stronger than the compiled uncolored unary--binary grammar.
Exact mathematical passage
\ev(\operatorname{node}(\sigma;t_1,\ldots,t_{r(\sigma)})) = \Phi_\sigma(\ev(t_1),\ldots,\ev(t_{r(\sigma)})).
FDefinition passage · 174 passages
Search aliases: F
Definition passage: Nonlinear packet coordinate map · Read passage · 03_nonlinear_coordinates.tex, line 105
[Nonlinear packet coordinate map] Let P be a packet system on X and let Q be a packet system on Y. For any map F:X→ Y, define F_ Q← P = A_ QF S_ P. Thus F_ Q← P((x_α)_α) = ( Q_γ F(∑_α x_α) )_γ.
Exact mathematical passage
F:X\to Y
fDefinition passage · 103 passages
Search aliases: f
Definition passage: Nonlinear refinement defect · Read passage · 03_nonlinear_coordinates.tex, line 737
[Nonlinear refinement defect] The pointwise defect of F is Δ_F(x) = C_YF_f(x)-F_c(C_Xx). The two models are exactly compatible when Δ_F vanishes everywhere.
Exact mathematical passage
\Delta_F(x) = C_YF_f(x)-F_c(C_Xx).
F^mDefinition passage · 32 passages
Search aliases: F^m
Definition passage: Depth obstruction · Read passage · 04_correction_transport.tex, line 247
[Depth obstruction] The depth m obstruction of x_m is Ob_m(x_m) = [Φ(x_m)] ∈ cokeroverline L_m, where Φ(x_m) is first viewed in F^mY/F^m+1Y.
Exact mathematical passage
F^mY/F^{m+1}Y
F^{m+1}Definition passage · 15 passages
Search aliases: F^m+1
Definition passage: Depth obstruction · Read passage · 04_correction_transport.tex, line 247
[Depth obstruction] The depth m obstruction of x_m is Ob_m(x_m) = [Φ(x_m)] ∈ cokeroverline L_m, where Φ(x_m) is first viewed in F^mY/F^m+1Y.
Exact mathematical passage
F^mY/F^{m+1}Y
F_cDefinition passage · 13 passages
Search aliases: F_c
Definition passage: Nonlinear refinement defect · Read passage · 03_nonlinear_coordinates.tex, line 737
[Nonlinear refinement defect] The pointwise defect of F is Δ_F(x) = C_YF_f(x)-F_c(C_Xx). The two models are exactly compatible when Δ_F vanishes everywhere.
Exact mathematical passage
\Delta_F(x) = C_YF_f(x)-F_c(C_Xx).
F_fDefinition passage · 13 passages
Search aliases: F_f
Definition passage: Nonlinear refinement defect · Read passage · 03_nonlinear_coordinates.tex, line 737
[Nonlinear refinement defect] The pointwise defect of F is Δ_F(x) = C_YF_f(x)-F_c(C_Xx). The two models are exactly compatible when Δ_F vanishes everywhere.
Exact mathematical passage
\Delta_F(x) = C_YF_f(x)-F_c(C_Xx).
F_{\Qcal\leftarrow\Pcal}Definition passage · 7 passages
Search aliases: F_Qcal←Pcal F_ Q← P Qcal leftarrow Pcal mathcal leftarrow mathcal
Definition passage: Nonlinear packet coordinate map · Read passage · 03_nonlinear_coordinates.tex, line 106
[Nonlinear packet coordinate map] Let P be a packet system on X and let Q be a packet system on Y. For any map F:X→ Y, define F_ Q← P = A_ QF S_ P. Thus F_ Q← P((x_α)_α) = ( Q_γ F(∑_α x_α) )_γ.
Exact mathematical passage
F_{\Qcal\leftarrow\Pcal} = \Acal_{\Qcal}F\Scal_{\Pcal}.
\operatorname{Fin}Definition passage · 3 passages
Search aliases: Fin operatorname
Definition passage: Finitary colored operation signature · Read passage · 02_connections_obstructions.tex, line 831
[Finitary colored operation signature] A finitary colored signature consists of: item a finite type V of colors; item a type Σ of operation symbols; item an arity r(σ)∈ N for every σ∈Σ; item input colors in_σ:Fin(r(σ))→ V; item an output color out(σ)∈ V. A realization assigns a space X_v to each color and a map Φ_σ: ∏_q∈Fin(r(σ))X_in_σ(q) ⟶ X_out(σ). statusroadmapThe intended Lean target is a dependent inductive typed tree; no such declaration is part of the version 1.0.1 completion contract.
Exact mathematical passage
\operatorname{in}_\sigma:\operatorname{Fin}(r(\sigma))\to V
GDefinition passage · 68 passages
Search aliases: G
Definition passage: Gauge change · Read passage · 02_connections_obstructions.tex, line 312
[Gauge change] A gauge is a family of automorphisms G_a∈Aut_R(C_a). It acts on a connection by Γ^G_b← a = G_bΓ_b← aG_a^-1. statusleanthreeKomorebi.PaperIII.Transport.ReversibleConnection.Gauge; Komorebi.PaperIII.Transport.ReversibleConnection.gauge
Exact mathematical passage
G_a\in\operatorname{Aut}_R(C_a)
gDefinition passage · 26 passages
Search aliases: g
Definition passage: Grade respecting operation · Read passage · 03_nonlinear_coordinates.tex, line 574
[Grade respecting operation] An r multilinear map μ:A^r→ A respects the grading when μ(A_g_1,…,A_g_r) ⊆ A_g_1+⋯+g_r.
Exact mathematical passage
\mu(A_{g_1},\ldots,A_{g_r}) \subseteq A_{g_1+\cdots+g_r}.
g_1Definition passage · 5 passages
Search aliases: g_1
Definition passage: Grade respecting operation · Read passage · 03_nonlinear_coordinates.tex, line 574
[Grade respecting operation] An r multilinear map μ:A^r→ A respects the grading when μ(A_g_1,…,A_g_r) ⊆ A_g_1+⋯+g_r.
Exact mathematical passage
\mu(A_{g_1},\ldots,A_{g_r}) \subseteq A_{g_1+\cdots+g_r}.
G_aDefinition passage · 12 passages
Search aliases: G_a
Definition passage: Gauge change · Read passage · 02_connections_obstructions.tex, line 312
[Gauge change] A gauge is a family of automorphisms G_a∈Aut_R(C_a). It acts on a connection by Γ^G_b← a = G_bΓ_b← aG_a^-1. statusleanthreeKomorebi.PaperIII.Transport.ReversibleConnection.Gauge; Komorebi.PaperIII.Transport.ReversibleConnection.gauge
Exact mathematical passage
G_a\in\operatorname{Aut}_R(C_a)
G_a^{-1}Definition passage · 11 passages
Search aliases: G_a^-1
Definition passage: Gauge change · Read passage · 02_connections_obstructions.tex, line 314
[Gauge change] A gauge is a family of automorphisms G_a∈Aut_R(C_a). It acts on a connection by Γ^G_b← a = G_bΓ_b← aG_a^-1. statusleanthreeKomorebi.PaperIII.Transport.ReversibleConnection.Gauge; Komorebi.PaperIII.Transport.ReversibleConnection.gauge
Exact mathematical passage
\Gamma^G_{b\leftarrow a} = G_b\Gamma_{b\leftarrow a}G_a^{-1}.
G_bDefinition passage · 6 passages
Search aliases: G_b
Definition passage: Gauge change · Read passage · 02_connections_obstructions.tex, line 314
[Gauge change] A gauge is a family of automorphisms G_a∈Aut_R(C_a). It acts on a connection by Γ^G_b← a = G_bΓ_b← aG_a^-1. statusleanthreeKomorebi.PaperIII.Transport.ReversibleConnection.Gauge; Komorebi.PaperIII.Transport.ReversibleConnection.gauge
Exact mathematical passage
\Gamma^G_{b\leftarrow a} = G_b\Gamma_{b\leftarrow a}G_a^{-1}.
g_rDefinition passage · 3 passages
Search aliases: g_r
Definition passage: Grade respecting operation · Read passage · 03_nonlinear_coordinates.tex, line 574
[Grade respecting operation] An r multilinear map μ:A^r→ A respects the grading when μ(A_g_1,…,A_g_r) ⊆ A_g_1+⋯+g_r.
Exact mathematical passage
\mu(A_{g_1},\ldots,A_{g_r}) \subseteq A_{g_1+\cdots+g_r}.
G_u^{-1}Definition passage · 1 passage
Search aliases: G_u^-1
Definition passage: Gauge change · Read passage · 04_correction_transport.tex, line 653
[Gauge change] A gauge is a family G_v∈GL(X). It changes the edge transports to T'_vu=G_vT_vuG_u^-1.
Exact mathematical passage
T'_{vu}=G_vT_{vu}G_u^{-1}.
G_vDefinition passage · 2 passages
Search aliases: G_v
Definition passage: Gauge change · Read passage · 04_correction_transport.tex, line 652
[Gauge change] A gauge is a family G_v∈GL(X). It changes the edge transports to T'_vu=G_vT_vuG_u^-1.
Exact mathematical passage
G_v\in\operatorname{GL}(X)
\operatorname{GL}Definition passage · 3 passages
Search aliases: GL operatorname
Definition passage: Gauge change · Read passage · 04_correction_transport.tex, line 652
[Gauge change] A gauge is a family G_v∈GL(X). It changes the edge transports to T'_vu=G_vT_vuG_u^-1.
Exact mathematical passage
G_v\in\operatorname{GL}(X)
HDefinition passage · 72 passages
Search aliases: H
Definition passage: Triangle holonomy · Read passage · 02_connections_obstructions.tex, line 192
[Triangle holonomy] The triangle holonomy based at a is H_c,b,a = Γ_a← c Γ_c← b Γ_b← a ∈Aut_R(C_a). It traverses a→ b→ c→ a. statusleanthreeKomorebi.PaperIII.Transport.ReversibleConnection.triangleHolonomy; Komorebi.PaperIII.Transport.ReversibleConnection.triangleObstruction
Exact mathematical passage
H_{c,b,a} = \Gamma_{a\leftarrow c} \Gamma_{c\leftarrow b} \Gamma_{b\leftarrow a} \in\operatorname{Aut}_R(C_a).
H_{c,b,a}Definition passage · 12 passages
Search aliases: H_c,b,a
Definition passage: Triangle holonomy · Read passage · 02_connections_obstructions.tex, line 192
[Triangle holonomy] The triangle holonomy based at a is H_c,b,a = Γ_a← c Γ_c← b Γ_b← a ∈Aut_R(C_a). It traverses a→ b→ c→ a. statusleanthreeKomorebi.PaperIII.Transport.ReversibleConnection.triangleHolonomy; Komorebi.PaperIII.Transport.ReversibleConnection.triangleObstruction
Exact mathematical passage
H_{c,b,a} = \Gamma_{a\leftarrow c} \Gamma_{c\leftarrow b} \Gamma_{b\leftarrow a} \in\operatorname{Aut}_R(C_a).
\HomDefinition passage · 3 passages
Search aliases: Hom operatorname
Definition passage: Cocycle defect · Read passage · 02_connections_obstructions.tex, line 176
[Cocycle defect] For a,b,c∈ B, define the additive cocycle defect Δ_c,b,a = Γ_c← bΓ_b← a -Γ_c← a ∈Hom_R(C_a,C_c). statusleanthreeKomorebi.PaperIII.Transport.ReversibleConnection.cocycleDefect
Exact mathematical passage
\Delta_{c,b,a} = \Gamma_{c\leftarrow b}\Gamma_{b\leftarrow a} -\Gamma_{c\leftarrow a} \in\Hom_R(C_a,C_c).
\Hom_RDefinition passage · 1 passage
Search aliases: Hom_R Hom operatorname
Definition passage: Cocycle defect · Read passage · 02_connections_obstructions.tex, line 176
[Cocycle defect] For a,b,c∈ B, define the additive cocycle defect Δ_c,b,a = Γ_c← bΓ_b← a -Γ_c← a ∈Hom_R(C_a,C_c). statusleanthreeKomorebi.PaperIII.Transport.ReversibleConnection.cocycleDefect
Exact mathematical passage
\Delta_{c,b,a} = \Gamma_{c\leftarrow b}\Gamma_{b\leftarrow a} -\Gamma_{c\leftarrow a} \in\Hom_R(C_a,C_c).
IDefinition passage · 86 passages
Search aliases: I
Definition passage: Composable word and execution operator · Read passage · 01_finite_coordinates.tex, line 179
[Composable word and execution operator] A finite word w=(e_1,…,e_n) is composable when tgt(e_r)=src(e_r+1) (1≤ r<n). Set L_w=L_e_n⋯ L_e_1, L_∅=I. This definition records the written order of execution even though matrix composition is read right to left. statusleanthreeKomorebi.PaperIII.EdgeOperators.PacketGraph.EdgeSystem.Composable; Komorebi.PaperIII.EdgeOperators.PacketGraph.EdgeSystem.wordOp
Exact mathematical passage
L_w=L_{e_n}\cdots L_{e_1}, \qquad L_{\varnothing}=I.
iDefinition passage · 64 passages
Search aliases: i
Definition passage: Finite grammar for operation trees · Read passage · 02_connections_obstructions.tex, line 772
[Finite grammar for operation trees] For types of input labels I, constants K, unary symbols U, and binary symbols B, the released formal grammar has four constructors: t ::= · input(i) midconstant(k) midunary(u,t) · midbinary(b,t_1,t_2). Given an arbitrary value type Y, evaluation takes completely explicit maps I→ Y, K→ Y, U→ Y→ Y, B→ Y→ Y→ Y. No algebraic, continuity, or differentiability law is imposed on these semantics. statusleanthreeKomorebi.PaperIII.NonlinearObstructions.OperationTree; K…
Exact mathematical passage
\begin{aligned} t ::={}&\operatorname{input}(i) \mid\operatorname{constant}(k) \mid\operatorname{unary}(u,t)\\ &\mid\operatorname{binary}(b,t_1,t_2). \end{aligned}
\idDefinition passage · 26 passages
Search aliases: id mathrm
Definition passage: Noncanonical connection normalized at each chart · Read passage · 02_connections_obstructions.tex, line 18
[Noncanonical connection normalized at each chart] A minimal connection is a family Γ_b← a∈Aut_R(M) (a,b∈ B) with only Γ_a← a=id_M. Neither inversion on reversed edges nor the cocycle law is a field of the structure. statusleanthreeKomorebi.PaperIII.Transport.Connection
Exact mathematical passage
\Gamma_{a\leftarrow a}=\id_M.
\id_{C_a}Definition passage · 4 passages
Search aliases: id_C_a id mathrm
Definition passage: Holonomy obstruction and packet residuals · Read passage · 02_connections_obstructions.tex, line 472
[Holonomy obstruction and packet residuals] Define Ob_c,b,a=H_c,b,a-id_C_a, Ob^μν_c,b,a = Π^a_μOb_c,b,aΠ^a_ν. The map Ob^μν_c,b,a is the obstruction block, or packet residual, from input packet ν to output packet μ. If it is nonzero, then (μ,ν) and that nonvanishing proof form an obstruction packet certificate. Diagonal blocks detect holonomy within one packet. Off-diagonal blocks detect packet mixing induced by holonomy. statusleanthreeKomorebi.PaperIII.HolonomyBlocks.PacketResolution; Komorebi…
Exact mathematical passage
\Ob_{c,b,a}=H_{c,b,a}-\id_{C_a}, \qquad \Ob^{\mu\nu}_{c,b,a} = \Pi^a_\mu\Ob_{c,b,a}\Pi^a_\nu.
\id_{C_{a_0}}Definition passage · 1 passage
Search aliases: id_C_a_0 id mathrm
Definition passage: Connection transport along a path · Read passage · 02_connections_obstructions.tex, line 267
[Connection transport along a path] For a vertex sequence p=(a_0,a_1,…,a_n), define Γ_p = Γ_a_n← a_n-1⋯ Γ_a_1← a_0, Γ_(a_0)=id_C_a_0. If a_n=a_0, then Γ_p is the holonomy of the loop p. statusleanthreeKomorebi.PaperIII.Transport.ReversibleConnection.pathTransport; Komorebi.PaperIII.Transport.ReversibleConnection.VertexPath; Komorebi.PaperIII.Transport.ReversibleConnection.indexedPathTransport
Exact mathematical passage
\Gamma_p = \Gamma_{a_n\leftarrow a_{n-1}}\cdots \Gamma_{a_1\leftarrow a_0}, \qquad \Gamma_{(a_0)}=\id_{C_{a_0}}.
\id_MDefinition passage · 2 passages
Search aliases: id_M id mathrm
Definition passage: Noncanonical connection normalized at each chart · Read passage · 02_connections_obstructions.tex, line 18
[Noncanonical connection normalized at each chart] A minimal connection is a family Γ_b← a∈Aut_R(M) (a,b∈ B) with only Γ_a← a=id_M. Neither inversion on reversed edges nor the cocycle law is a field of the structure. statusleanthreeKomorebi.PaperIII.Transport.Connection
Exact mathematical passage
\Gamma_{a\leftarrow a}=\id_M.
\imDefinition passage · 18 passages
Search aliases: im operatorname
Definition passage: Linear correction datum · Read passage · 03_nonlinear_coordinates.tex, line 912
[Linear correction datum] A linear correction datum consists of a homomorphism D:U⟶ V and a defect r∈ V. A correction is an element u∈ U satisfying Du=-r. The obstruction class is Ob_D(r)=[r]∈coker D=V/im D.
Exact mathematical passage
\Ob_D(r)=[r]\in\coker D=V/\im D.
\operatorname{in}Definition passage · 2 passages
Search aliases: in operatorname
Definition passage: Finitary colored operation signature · Read passage · 02_connections_obstructions.tex, line 831
[Finitary colored operation signature] A finitary colored signature consists of: item a finite type V of colors; item a type Σ of operation symbols; item an arity r(σ)∈ N for every σ∈Σ; item input colors in_σ:Fin(r(σ))→ V; item an output color out(σ)∈ V. A realization assigns a space X_v to each color and a map Φ_σ: ∏_q∈Fin(r(σ))X_in_σ(q) ⟶ X_out(σ). statusroadmapThe intended Lean target is a dependent inductive typed tree; no such declaration is part of the version 1.0.1 completion contract.
Exact mathematical passage
\operatorname{in}_\sigma:\operatorname{Fin}(r(\sigma))\to V
\operatorname{in}_\sigmaDefinition passage · 2 passages
Search aliases: in_σ operatorname sigma
Definition passage: Finitary colored operation signature · Read passage · 02_connections_obstructions.tex, line 831
[Finitary colored operation signature] A finitary colored signature consists of: item a finite type V of colors; item a type Σ of operation symbols; item an arity r(σ)∈ N for every σ∈Σ; item input colors in_σ:Fin(r(σ))→ V; item an output color out(σ)∈ V. A realization assigns a space X_v to each color and a map Φ_σ: ∏_q∈Fin(r(σ))X_in_σ(q) ⟶ X_out(σ). statusroadmapThe intended Lean target is a dependent inductive typed tree; no such declaration is part of the version 1.0.1 completion contract.
Exact mathematical passage
\operatorname{in}_\sigma:\operatorname{Fin}(r(\sigma))\to V
\operatorname{input}Definition passage · 1 passage
Search aliases: input operatorname
Definition passage: Finite grammar for operation trees · Read passage · 02_connections_obstructions.tex, line 772
[Finite grammar for operation trees] For types of input labels I, constants K, unary symbols U, and binary symbols B, the released formal grammar has four constructors: t ::= · input(i) midconstant(k) midunary(u,t) · midbinary(b,t_1,t_2). Given an arbitrary value type Y, evaluation takes completely explicit maps I→ Y, K→ Y, U→ Y→ Y, B→ Y→ Y→ Y. No algebraic, continuity, or differentiability law is imposed on these semantics. statusleanthreeKomorebi.PaperIII.NonlinearObstructions.OperationTree; K…
Exact mathematical passage
\begin{aligned} t ::={}&\operatorname{input}(i) \mid\operatorname{constant}(k) \mid\operatorname{unary}(u,t)\\ &\mid\operatorname{binary}(b,t_1,t_2). \end{aligned}
\operatorname{IsSolution}Definition passage · 2 passages
Search aliases: IsSolution operatorname
Definition passage: Solution and obstruction packet for a candidate · Read passage · 02_connections_obstructions.tex, line 409
[Solution and obstruction packet for a candidate] A candidate x is a solution when IsSolution_r(x) Longleftrightarrow ∀ p, r(x,p)=0. An obstruction packet for x is a pair consisting of a named packet p and a certificate r(x,p)≠0. statusleanthreeKomorebi.PaperIII.NonlinearObstructions.IsSolution; Komorebi.PaperIII.NonlinearObstructions.ObstructionPacket
Exact mathematical passage
\operatorname{IsSolution}_r(x) \quad\Longleftrightarrow\quad \forall p,\ r(x,p)=0.
\operatorname{IsSolution}_rDefinition passage · 2 passages
Search aliases: IsSolution_r operatorname
Definition passage: Solution and obstruction packet for a candidate · Read passage · 02_connections_obstructions.tex, line 409
[Solution and obstruction packet for a candidate] A candidate x is a solution when IsSolution_r(x) Longleftrightarrow ∀ p, r(x,p)=0. An obstruction packet for x is a pair consisting of a named packet p and a certificate r(x,p)≠0. statusleanthreeKomorebi.PaperIII.NonlinearObstructions.IsSolution; Komorebi.PaperIII.NonlinearObstructions.ObstructionPacket
Exact mathematical passage
\operatorname{IsSolution}_r(x) \quad\Longleftrightarrow\quad \forall p,\ r(x,p)=0.
JDefinition passage · 42 passages
Search aliases: J
Definition passage: Canonical exact coordinate transport · Read passage · 01_finite_coordinates.tex, line 472
[Canonical exact coordinate transport] For two exact packet systems on the same ambient module, define J^X_b← a = A_b S_a: Coord( P^a)⟶Coord( P^b). The arrow points from the source coordinate system a to the target coordinate system b. statusleanpriorKomorebi.PaperII.NestedRefinement.refineCoordinates; Komorebi.PaperII.NestedRefinement.coordinateRefinementEquiv
Exact mathematical passage
J^X_{b\leftarrow a} = \cA_b\cS_a: \Coord(\cP^a)\longrightarrow\Coord(\cP^b).
J^{r}_{\gamma\mid\alpha_1,\ldots,\alpha_r}Definition passage · 4 passages
Search aliases: J^r_γmidα_1,…,α_r gamma mid alpha ldots alpha
Definition passage: Packet jet · Read passage · 03_nonlinear_coordinates.tex, line 220
[Packet jet] For 1≤ r≤ m, define J^r_γmidα_1,…,α_rF(x) = Q_γ D^rF(x) |_X_α_1×⋯× X_α_r. This is a continuous multilinear map X_α_1×⋯× X_α_r ⟶ Y_γ.
Exact mathematical passage
J^{r}_{\gamma\mid\alpha_1,\ldots,\alpha_r}F(x) = Q_\gamma D^rF(x) \big|_{X_{\alpha_1}\times\cdots\times X_{\alpha_r}}.
J^X_{b\leftarrow a}Definition passage · 8 passages
Search aliases: J^X_b← a leftarrow
Definition passage: Canonical exact coordinate transport · Read passage · 01_finite_coordinates.tex, line 472
[Canonical exact coordinate transport] For two exact packet systems on the same ambient module, define J^X_b← a = A_b S_a: Coord( P^a)⟶Coord( P^b). The arrow points from the source coordinate system a to the target coordinate system b. statusleanpriorKomorebi.PaperII.NestedRefinement.refineCoordinates; Komorebi.PaperII.NestedRefinement.coordinateRefinementEquiv
Exact mathematical passage
J^X_{b\leftarrow a} = \cA_b\cS_a: \Coord(\cP^a)\longrightarrow\Coord(\cP^b).
J_{b\leftarrow a}Definition passage · 12 passages
Search aliases: J_b← a leftarrow
Definition passage: Calibration and flatness · Read passage · 02_connections_obstructions.tex, line 141
[Calibration and flatness] When the C_a are exact packet coordinates of one ambient module, the connection is canonically calibrated if Γ_b← a=J_b← a for every a,b. It is flat if Γ_c← bΓ_b← a = Γ_c← a for every a,b,c. The canonical connection is flat. A general flat connection is proved in [source reference] to be related to it by a gauge change. statusleanthreeKomorebi.PaperIII.Transport.ReversibleConnection.CocycleAt; Komorebi.PaperIII.Transport.ReversibleConnection.Flat; Komorebi.PaperIII.Tra…
Exact mathematical passage
\Gamma_{b\leftarrow a}=J_{b\leftarrow a} \quad\text{for every }a,b.
KDefinition passage · 31 passages
Search aliases: K
Definition passage: Finite grammar for operation trees · Read passage · 02_connections_obstructions.tex, line 770
[Finite grammar for operation trees] For types of input labels I, constants K, unary symbols U, and binary symbols B, the released formal grammar has four constructors: t ::= · input(i) midconstant(k) midunary(u,t)
Exact mathematical passage
K
kDefinition passage · 41 passages
Search aliases: k
Definition passage: Finite grammar for operation trees · Read passage · 02_connections_obstructions.tex, line 772
[Finite grammar for operation trees] For types of input labels I, constants K, unary symbols U, and binary symbols B, the released formal grammar has four constructors: t ::= · input(i) midconstant(k) midunary(u,t) · midbinary(b,t_1,t_2). Given an arbitrary value type Y, evaluation takes completely explicit maps I→ Y, K→ Y, U→ Y→ Y, B→ Y→ Y→ Y. No algebraic, continuity, or differentiability law is imposed on these semantics. statusleanthreeKomorebi.PaperIII.NonlinearObstructions.OperationTree; K…
Exact mathematical passage
\begin{aligned} t ::={}&\operatorname{input}(i) \mid\operatorname{constant}(k) \mid\operatorname{unary}(u,t)\\ &\mid\operatorname{binary}(b,t_1,t_2). \end{aligned}
LDefinition passage · 55 passages
Search aliases: L
Definition passage: Packet graph and scalar edge system · Read passage · 01_finite_coordinates.tex, line 77
0, · otherwise. An edge system is a coefficient function c:E→ R. Its elementary edge operator and total transfer operator are L_e=packetMatrix(src(e),tgt(e);c(e)), T=∑_e∈ EL_e. statusleanthreeKomorebi.PaperIII.EdgeOperators.PacketGraph; Komorebi.PaperIII.EdgeOperators.PacketGraph.packetMatrix; Komorebi.PaperIII.EdgeOperators.PacketGraph.EdgeSystem; Komorebi.PaperIII.EdgeOperators.PacketGraph.EdgeSystem.edgeOp; Komorebi.PaperIII.EdgeOperators.PacketGraph.EdgeSystem.transferOp
Exact mathematical passage
L_e=\operatorname{packetMatrix}(\src(e),\tgt(e);c(e)), \qquad T=\sum_{e\in E}L_e.
L_eDefinition passage · 24 passages
Search aliases: L_e
Definition passage: Packet graph and scalar edge system · Read passage · 01_finite_coordinates.tex, line 77
0, · otherwise. An edge system is a coefficient function c:E→ R. Its elementary edge operator and total transfer operator are L_e=packetMatrix(src(e),tgt(e);c(e)), T=∑_e∈ EL_e. statusleanthreeKomorebi.PaperIII.EdgeOperators.PacketGraph; Komorebi.PaperIII.EdgeOperators.PacketGraph.packetMatrix; Komorebi.PaperIII.EdgeOperators.PacketGraph.EdgeSystem; Komorebi.PaperIII.EdgeOperators.PacketGraph.EdgeSystem.edgeOp; Komorebi.PaperIII.EdgeOperators.PacketGraph.EdgeSystem.transferOp
Exact mathematical passage
L_e=\operatorname{packetMatrix}(\src(e),\tgt(e);c(e)), \qquad T=\sum_{e\in E}L_e.
L_{e_1}Definition passage · 4 passages
Search aliases: L_e_1
Definition passage: Composable word and execution operator · Read passage · 01_finite_coordinates.tex, line 179
[Composable word and execution operator] A finite word w=(e_1,…,e_n) is composable when tgt(e_r)=src(e_r+1) (1≤ r<n). Set L_w=L_e_n⋯ L_e_1, L_∅=I. This definition records the written order of execution even though matrix composition is read right to left. statusleanthreeKomorebi.PaperIII.EdgeOperators.PacketGraph.EdgeSystem.Composable; Komorebi.PaperIII.EdgeOperators.PacketGraph.EdgeSystem.wordOp
Exact mathematical passage
L_w=L_{e_n}\cdots L_{e_1}, \qquad L_{\varnothing}=I.
L_{e_n}Definition passage · 4 passages
Search aliases: L_e_n
Definition passage: Composable word and execution operator · Read passage · 01_finite_coordinates.tex, line 179
[Composable word and execution operator] A finite word w=(e_1,…,e_n) is composable when tgt(e_r)=src(e_r+1) (1≤ r<n). Set L_w=L_e_n⋯ L_e_1, L_∅=I. This definition records the written order of execution even though matrix composition is read right to left. statusleanthreeKomorebi.PaperIII.EdgeOperators.PacketGraph.EdgeSystem.Composable; Komorebi.PaperIII.EdgeOperators.PacketGraph.EdgeSystem.wordOp
Exact mathematical passage
L_w=L_{e_n}\cdots L_{e_1}, \qquad L_{\varnothing}=I.
L_wDefinition passage · 5 passages
Search aliases: L_w
Definition passage: Composable word and execution operator · Read passage · 01_finite_coordinates.tex, line 179
[Composable word and execution operator] A finite word w=(e_1,…,e_n) is composable when tgt(e_r)=src(e_r+1) (1≤ r<n). Set L_w=L_e_n⋯ L_e_1, L_∅=I. This definition records the written order of execution even though matrix composition is read right to left. statusleanthreeKomorebi.PaperIII.EdgeOperators.PacketGraph.EdgeSystem.Composable; Komorebi.PaperIII.EdgeOperators.PacketGraph.EdgeSystem.wordOp
Exact mathematical passage
L_w=L_{e_n}\cdots L_{e_1}, \qquad L_{\varnothing}=I.
L_{\varnothing}Definition passage · 1 passage
Search aliases: L_∅ varnothing
Definition passage: Composable word and execution operator · Read passage · 01_finite_coordinates.tex, line 179
[Composable word and execution operator] A finite word w=(e_1,…,e_n) is composable when tgt(e_r)=src(e_r+1) (1≤ r<n). Set L_w=L_e_n⋯ L_e_1, L_∅=I. This definition records the written order of execution even though matrix composition is read right to left. statusleanthreeKomorebi.PaperIII.EdgeOperators.PacketGraph.EdgeSystem.Composable; Komorebi.PaperIII.EdgeOperators.PacketGraph.EdgeSystem.wordOp
Exact mathematical passage
L_w=L_{e_n}\cdots L_{e_1}, \qquad L_{\varnothing}=I.
\LongleftrightarrowDefinition passage · 7 passages
Search aliases: Longleftrightarrow
Definition passage: Solution and obstruction packet for a candidate · Read passage · 02_connections_obstructions.tex, line 409
[Solution and obstruction packet for a candidate] A candidate x is a solution when IsSolution_r(x) Longleftrightarrow ∀ p, r(x,p)=0. An obstruction packet for x is a pair consisting of a named packet p and a certificate r(x,p)≠0. statusleanthreeKomorebi.PaperIII.NonlinearObstructions.IsSolution; Komorebi.PaperIII.NonlinearObstructions.ObstructionPacket
Exact mathematical passage
\operatorname{IsSolution}_r(x) \quad\Longleftrightarrow\quad \forall p,\ r(x,p)=0.
MDefinition passage · 16 passages
Search aliases: M
Definition passage: Noncanonical connection normalized at each chart · Read passage · 02_connections_obstructions.tex, line 13
[Noncanonical connection normalized at each chart] A minimal connection is a family Γ_b← a∈Aut_R(M) (a,b∈ B) with only Γ_a← a=id_M. Neither inversion on reversed edges nor the cocycle law is a field of the structure. statusleanthreeKomorebi.PaperIII.Transport.Connection
Exact mathematical passage
\Gamma_{b\leftarrow a}\in\operatorname{Aut}_R(M) \qquad(a,b\in B)
mDefinition passage · 123 passages
Search aliases: m
Definition passage: Packet jet · Read passage · 03_nonlinear_coordinates.tex, line 219
[Packet jet] For 1≤ r≤ m, define J^r_γmidα_1,…,α_rF(x) = Q_γ D^rF(x) |_X_α_1×⋯× X_α_r. This is a continuous multilinear map X_α_1×⋯× X_α_r ⟶ Y_γ.
Exact mathematical passage
1\le r\le m
\midDefinition passage · 10 passages
Search aliases: mid
Definition passage: Finite grammar for operation trees · Read passage · 02_connections_obstructions.tex, line 772
[Finite grammar for operation trees] For types of input labels I, constants K, unary symbols U, and binary symbols B, the released formal grammar has four constructors: t ::= · input(i) midconstant(k) midunary(u,t) · midbinary(b,t_1,t_2). Given an arbitrary value type Y, evaluation takes completely explicit maps I→ Y, K→ Y, U→ Y→ Y, B→ Y→ Y→ Y. No algebraic, continuity, or differentiability law is imposed on these semantics. statusleanthreeKomorebi.PaperIII.NonlinearObstructions.OperationTree; K…
Exact mathematical passage
\begin{aligned} t ::={}&\operatorname{input}(i) \mid\operatorname{constant}(k) \mid\operatorname{unary}(u,t)\\ &\mid\operatorname{binary}(b,t_1,t_2). \end{aligned}
\NDefinition passage · 5 passages
Search aliases: N mathbb
Definition passage: Finitary colored operation signature · Read passage · 02_connections_obstructions.tex, line 829
[Finitary colored operation signature] A finitary colored signature consists of: item a finite type V of colors; item a type Σ of operation symbols; item an arity r(σ)∈ N for every σ∈Σ; item input colors in_σ:Fin(r(σ))→ V; item an output color out(σ)∈ V. A realization assigns a space X_v to each color and a map Φ_σ: ∏_q∈Fin(r(σ))X_in_σ(q) ⟶ X_out(σ). statusroadmapThe intended Lean target is a dependent inductive typed tree; no such declaration is part of the version 1.0.1 completion contract.
Exact mathematical passage
r(\sigma)\in\N
nDefinition passage · 96 passages
Search aliases: n
Definition passage: Composable word and execution operator · Read passage · 01_finite_coordinates.tex, line 173
[Composable word and execution operator] A finite word w=(e_1,…,e_n) is composable when tgt(e_r)=src(e_r+1) (1≤ r<n). Set L_w=L_e_n⋯ L_e_1, L_∅=I. This definition records the written order of execution even though matrix composition is read right to left. statusleanthreeKomorebi.PaperIII.EdgeOperators.PacketGraph.EdgeSystem.Composable; Komorebi.PaperIII.EdgeOperators.PacketGraph.EdgeSystem.wordOp
Exact mathematical passage
w=(e_1,\ldots,e_n)
\operatorname{node}Definition passage · 1 passage
Search aliases: node operatorname
Definition passage: Typed operation tree and evaluation · Read passage · 02_connections_obstructions.tex, line 848
[Typed operation tree and evaluation] A typed operation tree is recursively either a leaf of declared color or a node labeled by σ, with one correctly colored child for each input slot of σ. Evaluation is recursive: ev(node(σ;t_1,…,t_r(σ))) = Φ_σ(ev(t_1),…,ev(t_r(σ))). statusroadmapCandidate API: leannameKomorebi.PaperIII.NonlinearObstructions.ColoredOperationTree and leannameColoredOperationTree.eval. This is stronger than the compiled uncolored unary--binary grammar.
Exact mathematical passage
\ev(\operatorname{node}(\sigma;t_1,\ldots,t_{r(\sigma)})) = \Phi_\sigma(\ev(t_1),\ldots,\ev(t_{r(\sigma)})).
\ObDefinition passage · 43 passages
Search aliases: Ob operatorname
Definition passage: Holonomy obstruction and packet residuals · Read passage · 02_connections_obstructions.tex, line 472
[Holonomy obstruction and packet residuals] Define Ob_c,b,a=H_c,b,a-id_C_a, Ob^μν_c,b,a = Π^a_μOb_c,b,aΠ^a_ν. The map Ob^μν_c,b,a is the obstruction block, or packet residual, from input packet ν to output packet μ. If it is nonzero, then (μ,ν) and that nonvanishing proof form an obstruction packet certificate. Diagonal blocks detect holonomy within one packet. Off-diagonal blocks detect packet mixing induced by holonomy. statusleanthreeKomorebi.PaperIII.HolonomyBlocks.PacketResolution; Komorebi…
Exact mathematical passage
\Ob_{c,b,a}=H_{c,b,a}-\id_{C_a}, \qquad \Ob^{\mu\nu}_{c,b,a} = \Pi^a_\mu\Ob_{c,b,a}\Pi^a_\nu.
\Ob^{\mu\nu}_{c,b,a}Definition passage · 5 passages
Search aliases: Ob^μν_c,b,a Ob mu nu operatorname mu nu
Definition passage: Holonomy obstruction and packet residuals · Read passage · 02_connections_obstructions.tex, line 472
[Holonomy obstruction and packet residuals] Define Ob_c,b,a=H_c,b,a-id_C_a, Ob^μν_c,b,a = Π^a_μOb_c,b,aΠ^a_ν. The map Ob^μν_c,b,a is the obstruction block, or packet residual, from input packet ν to output packet μ. If it is nonzero, then (μ,ν) and that nonvanishing proof form an obstruction packet certificate. Diagonal blocks detect holonomy within one packet. Off-diagonal blocks detect packet mixing induced by holonomy. statusleanthreeKomorebi.PaperIII.HolonomyBlocks.PacketResolution; Komorebi…
Exact mathematical passage
\Ob_{c,b,a}=H_{c,b,a}-\id_{C_a}, \qquad \Ob^{\mu\nu}_{c,b,a} = \Pi^a_\mu\Ob_{c,b,a}\Pi^a_\nu.
\Ob_{c,b,a}Definition passage · 4 passages
Search aliases: Ob_c,b,a Ob operatorname
Definition passage: Holonomy obstruction and packet residuals · Read passage · 02_connections_obstructions.tex, line 472
[Holonomy obstruction and packet residuals] Define Ob_c,b,a=H_c,b,a-id_C_a, Ob^μν_c,b,a = Π^a_μOb_c,b,aΠ^a_ν. The map Ob^μν_c,b,a is the obstruction block, or packet residual, from input packet ν to output packet μ. If it is nonzero, then (μ,ν) and that nonvanishing proof form an obstruction packet certificate. Diagonal blocks detect holonomy within one packet. Off-diagonal blocks detect packet mixing induced by holonomy. statusleanthreeKomorebi.PaperIII.HolonomyBlocks.PacketResolution; Komorebi…
Exact mathematical passage
\Ob_{c,b,a}=H_{c,b,a}-\id_{C_a}, \qquad \Ob^{\mu\nu}_{c,b,a} = \Pi^a_\mu\Ob_{c,b,a}\Pi^a_\nu.
\Ob_DDefinition passage · 4 passages
Search aliases: Ob_D Ob operatorname
Definition passage: Linear correction datum · Read passage · 03_nonlinear_coordinates.tex, line 912
[Linear correction datum] A linear correction datum consists of a homomorphism D:U⟶ V and a defect r∈ V. A correction is an element u∈ U satisfying Du=-r. The obstruction class is Ob_D(r)=[r]∈coker D=V/im D.
Exact mathematical passage
\Ob_D(r)=[r]\in\coker D=V/\im D.
\Ob_mDefinition passage · 3 passages
Search aliases: Ob_m Ob operatorname
Definition passage: Depth obstruction · Read passage · 04_correction_transport.tex, line 240
[Depth obstruction] The depth m obstruction of x_m is Ob_m(x_m) = [Φ(x_m)] ∈ cokeroverline L_m, where Φ(x_m) is first viewed in F^mY/F^m+1Y.
Exact mathematical passage
\Ob_m(x_m) = [\Phi(x_m)] \in \coker\overline L_m,
\operatorname{out}Definition passage · 2 passages
Search aliases: out operatorname
Definition passage: Finitary colored operation signature · Read passage · 02_connections_obstructions.tex, line 832
[Finitary colored operation signature] A finitary colored signature consists of: item a finite type V of colors; item a type Σ of operation symbols; item an arity r(σ)∈ N for every σ∈Σ; item input colors in_σ:Fin(r(σ))→ V; item an output color out(σ)∈ V. A realization assigns a space X_v to each color and a map Φ_σ: ∏_q∈Fin(r(σ))X_in_σ(q) ⟶ X_out(σ). statusroadmapThe intended Lean target is a dependent inductive typed tree; no such declaration is part of the version 1.0.1 completion contract.
Exact mathematical passage
\operatorname{out}(\sigma)\in V
\overline LDefinition passage · 8 passages
Search aliases: overline L overline
Definition passage: Depth obstruction · Read passage · 04_correction_transport.tex, line 240
[Depth obstruction] The depth m obstruction of x_m is Ob_m(x_m) = [Φ(x_m)] ∈ cokeroverline L_m, where Φ(x_m) is first viewed in F^mY/F^m+1Y.
Exact mathematical passage
\Ob_m(x_m) = [\Phi(x_m)] \in \coker\overline L_m,
\overline L_mDefinition passage · 8 passages
Search aliases: overline L_m overline
Definition passage: Depth obstruction · Read passage · 04_correction_transport.tex, line 240
[Depth obstruction] The depth m obstruction of x_m is Ob_m(x_m) = [Φ(x_m)] ∈ cokeroverline L_m, where Φ(x_m) is first viewed in F^mY/F^m+1Y.
Exact mathematical passage
\Ob_m(x_m) = [\Phi(x_m)] \in \coker\overline L_m,
PDefinition passage · 95 passages
Search aliases: P
Definition passage: Direct rotation of nearby packet systems · Read passage · 04_correction_transport.tex, line 893
[Direct rotation of nearby packet systems] Let (P_α)_α∈ I and (Q_α)_α∈ I be complete orthogonal packet systems on the same Hilbert space. Put S( Q, P)=∑_α∈ IQ_α P_α. When S( Q, P) is invertible, define U( Q, P) = S( Q, P) (S( Q, P)^*S( Q, P))^-1/2.
Exact mathematical passage
(P_\alpha)_{\alpha\in I}
pDefinition passage · 32 passages
Search aliases: p
Definition passage: Connection transport along a path · Read passage · 02_connections_obstructions.tex, line 266
[Connection transport along a path] For a vertex sequence p=(a_0,a_1,…,a_n), define Γ_p = Γ_a_n← a_n-1⋯ Γ_a_1← a_0, Γ_(a_0)=id_C_a_0. If a_n=a_0, then Γ_p is the holonomy of the loop p. statusleanthreeKomorebi.PaperIII.Transport.ReversibleConnection.pathTransport; Komorebi.PaperIII.Transport.ReversibleConnection.VertexPath; Komorebi.PaperIII.Transport.ReversibleConnection.indexedPathTransport
Exact mathematical passage
p=(a_0,a_1,\ldots,a_n)
P_\alphaDefinition passage · 34 passages
Search aliases: P_α alpha
Definition passage: Direct rotation of nearby packet systems · Read passage · 04_correction_transport.tex, line 893
[Direct rotation of nearby packet systems] Let (P_α)_α∈ I and (Q_α)_α∈ I be complete orthogonal packet systems on the same Hilbert space. Put S( Q, P)=∑_α∈ IQ_α P_α. When S( Q, P) is invertible, define U( Q, P) = S( Q, P) (S( Q, P)^*S( Q, P))^-1/2.
Exact mathematical passage
(P_\alpha)_{\alpha\in I}
\operatorname{packetMatrix}Definition passage · 4 passages
Search aliases: packetMatrix operatorname
Definition passage: Packet graph and scalar edge system · Read passage · 01_finite_coordinates.tex, line 67
[Packet graph and scalar edge system] For a,b∈ V and r∈ R, define packetMatrix(a,b;r)_yx = r, · y=b and x=a, 0, · otherwise. An edge system is a coefficient function c:E→ R. Its elementary edge operator and total transfer operator are L_e=packetMatrix(src(e),tgt(e);c(e)), T=∑_e∈ EL_e. statusleanthreeKomorebi.PaperIII.EdgeOperators.PacketGraph; Komorebi.PaperIII.EdgeOperators.PacketGraph.packetMatrix; Komorebi.PaperIII.EdgeOperators.PacketGraph.EdgeSystem; Komorebi.PaperIII.EdgeOperators.PacketGr…
Exact mathematical passage
\operatorname{packetMatrix}(a,b;r)_{yx} = \begin{cases} r,&y=b\text{ and }x=a,\\ 0,&\text{otherwise}. \end{cases}
\PcalDefinition passage · 38 passages
Search aliases: Pcal P mathcal
Definition passage: Nonlinear packet coordinate map · Read passage · 03_nonlinear_coordinates.tex, line 105
[Nonlinear packet coordinate map] Let P be a packet system on X and let Q be a packet system on Y. For any map F:X→ Y, define F_ Q← P = A_ QF S_ P. Thus F_ Q← P((x_α)_α) = ( Q_γ F(∑_α x_α) )_γ.
Exact mathematical passage
\Pcal
QDefinition passage · 54 passages
Search aliases: Q
Definition passage: Nonlinear packet coordinate map · Read passage · 03_nonlinear_coordinates.tex, line 112
[Nonlinear packet coordinate map] Let P be a packet system on X and let Q be a packet system on Y. For any map F:X→ Y, define F_ Q← P = A_ QF S_ P. Thus F_ Q← P((x_α)_α) = ( Q_γ F(∑_α x_α) )_γ.
Exact mathematical passage
F_{\Qcal\leftarrow\Pcal}((x_\alpha)_\alpha) = \left( Q_\gamma F\left(\sum_\alpha x_\alpha\right) \right)_\gamma.
qDefinition passage · 38 passages
Search aliases: q
Definition passage: Finitary colored operation signature · Read passage · 02_connections_obstructions.tex, line 835
lored signature consists of: item a finite type V of colors; item a type Σ of operation symbols; item an arity r(σ)∈ N for every σ∈Σ; item input colors in_σ:Fin(r(σ))→ V; item an output color out(σ)∈ V. A realization assigns a space X_v to each color and a map Φ_σ: ∏_q∈Fin(r(σ))X_in_σ(q) ⟶ X_out(σ). statusroadmapThe intended Lean target is a dependent inductive typed tree; no such declaration is part of the version 1.0.1 completion contract.
Exact mathematical passage
\Phi_\sigma: \prod_{q\in\operatorname{Fin}(r(\sigma))}X_{\operatorname{in}_\sigma(q)} \longrightarrow X_{\operatorname{out}(\sigma)}.
Q_\alphaDefinition passage · 16 passages
Search aliases: Q_α alpha
Definition passage: Direct rotation of nearby packet systems · Read passage · 04_correction_transport.tex, line 893
[Direct rotation of nearby packet systems] Let (P_α)_α∈ I and (Q_α)_α∈ I be complete orthogonal packet systems on the same Hilbert space. Put S( Q, P)=∑_α∈ IQ_α P_α. When S( Q, P) is invertible, define U( Q, P) = S( Q, P) (S( Q, P)^*S( Q, P))^-1/2.
Exact mathematical passage
(Q_\alpha)_{\alpha\in I}
Q_\gammaDefinition passage · 12 passages
Search aliases: Q_γ gamma
Definition passage: Nonlinear packet coordinate map · Read passage · 03_nonlinear_coordinates.tex, line 112
[Nonlinear packet coordinate map] Let P be a packet system on X and let Q be a packet system on Y. For any map F:X→ Y, define F_ Q← P = A_ QF S_ P. Thus F_ Q← P((x_α)_α) = ( Q_γ F(∑_α x_α) )_γ.
Exact mathematical passage
F_{\Qcal\leftarrow\Pcal}((x_\alpha)_\alpha) = \left( Q_\gamma F\left(\sum_\alpha x_\alpha\right) \right)_\gamma.
\QcalDefinition passage · 23 passages
Search aliases: Qcal Q mathcal
Definition passage: Nonlinear packet coordinate map · Read passage · 03_nonlinear_coordinates.tex, line 105
[Nonlinear packet coordinate map] Let P be a packet system on X and let Q be a packet system on Y. For any map F:X→ Y, define F_ Q← P = A_ QF S_ P. Thus F_ Q← P((x_α)_α) = ( Q_γ F(∑_α x_α) )_γ.
Exact mathematical passage
\Qcal
RDefinition passage · 71 passages
Search aliases: R
Definition passage: Packet graph and scalar edge system · Read passage · 01_finite_coordinates.tex, line 66
[Packet graph and scalar edge system] For a,b∈ V and r∈ R, define packetMatrix(a,b;r)_yx = r, · y=b and x=a,
Exact mathematical passage
r\in R
rDefinition passage · 138 passages
Search aliases: r
Definition passage: Packet graph and scalar edge system · Read passage · 01_finite_coordinates.tex, line 66
[Packet graph and scalar edge system] For a,b∈ V and r∈ R, define packetMatrix(a,b;r)_yx = r, · y=b and x=a,
Exact mathematical passage
r\in R
SDefinition passage · 24 passages
Search aliases: S
Definition passage: Direct rotation of nearby packet systems · Read passage · 04_correction_transport.tex, line 894
[Direct rotation of nearby packet systems] Let (P_α)_α∈ I and (Q_α)_α∈ I be complete orthogonal packet systems on the same Hilbert space. Put S( Q, P)=∑_α∈ IQ_α P_α. When S( Q, P) is invertible, define U( Q, P) = S( Q, P) (S( Q, P)^*S( Q, P))^-1/2.
Exact mathematical passage
S(\Qcal,\Pcal)=\sum_{\alpha\in I}Q_\alpha P_\alpha.
\ScalDefinition passage · 14 passages
Search aliases: Scal S mathcal
Definition passage: Nonlinear packet coordinate map · Read passage · 03_nonlinear_coordinates.tex, line 106
[Nonlinear packet coordinate map] Let P be a packet system on X and let Q be a packet system on Y. For any map F:X→ Y, define F_ Q← P = A_ QF S_ P. Thus F_ Q← P((x_α)_α) = ( Q_γ F(∑_α x_α) )_γ.
Exact mathematical passage
F_{\Qcal\leftarrow\Pcal} = \Acal_{\Qcal}F\Scal_{\Pcal}.
\Scal_{\Pcal}Definition passage · 9 passages
Search aliases: Scal_Pcal S_ P Scal Pcal mathcal mathcal
Definition passage: Nonlinear packet coordinate map · Read passage · 03_nonlinear_coordinates.tex, line 106
[Nonlinear packet coordinate map] Let P be a packet system on X and let Q be a packet system on Y. For any map F:X→ Y, define F_ Q← P = A_ QF S_ P. Thus F_ Q← P((x_α)_α) = ( Q_γ F(∑_α x_α) )_γ.
Exact mathematical passage
F_{\Qcal\leftarrow\Pcal} = \Acal_{\Qcal}F\Scal_{\Pcal}.
\srcDefinition passage · 19 passages
Search aliases: src operatorname
Definition passage: Packet graph and scalar edge system · Read passage · 01_finite_coordinates.tex, line 77
0, · otherwise. An edge system is a coefficient function c:E→ R. Its elementary edge operator and total transfer operator are L_e=packetMatrix(src(e),tgt(e);c(e)), T=∑_e∈ EL_e. statusleanthreeKomorebi.PaperIII.EdgeOperators.PacketGraph; Komorebi.PaperIII.EdgeOperators.PacketGraph.packetMatrix; Komorebi.PaperIII.EdgeOperators.PacketGraph.EdgeSystem; Komorebi.PaperIII.EdgeOperators.PacketGraph.EdgeSystem.edgeOp; Komorebi.PaperIII.EdgeOperators.PacketGraph.EdgeSystem.transferOp
Exact mathematical passage
L_e=\operatorname{packetMatrix}(\src(e),\tgt(e);c(e)), \qquad T=\sum_{e\in E}L_e.
TDefinition passage · 51 passages
Search aliases: T
Definition passage: Packet graph and scalar edge system · Read passage · 01_finite_coordinates.tex, line 77
0, · otherwise. An edge system is a coefficient function c:E→ R. Its elementary edge operator and total transfer operator are L_e=packetMatrix(src(e),tgt(e);c(e)), T=∑_e∈ EL_e. statusleanthreeKomorebi.PaperIII.EdgeOperators.PacketGraph; Komorebi.PaperIII.EdgeOperators.PacketGraph.packetMatrix; Komorebi.PaperIII.EdgeOperators.PacketGraph.EdgeSystem; Komorebi.PaperIII.EdgeOperators.PacketGraph.EdgeSystem.edgeOp; Komorebi.PaperIII.EdgeOperators.PacketGraph.EdgeSystem.transferOp
Exact mathematical passage
L_e=\operatorname{packetMatrix}(\src(e),\tgt(e);c(e)), \qquad T=\sum_{e\in E}L_e.
T'_{vu}Definition passage · 1 passage
Search aliases: T'_vu
Definition passage: Gauge change · Read passage · 04_correction_transport.tex, line 653
[Gauge change] A gauge is a family G_v∈GL(X). It changes the edge transports to T'_vu=G_vT_vuG_u^-1.
Exact mathematical passage
T'_{vu}=G_vT_{vu}G_u^{-1}.
t_1Definition passage · 7 passages
Search aliases: t_1
Definition passage: Finite grammar for operation trees · Read passage · 02_connections_obstructions.tex, line 772
[Finite grammar for operation trees] For types of input labels I, constants K, unary symbols U, and binary symbols B, the released formal grammar has four constructors: t ::= · input(i) midconstant(k) midunary(u,t) · midbinary(b,t_1,t_2). Given an arbitrary value type Y, evaluation takes completely explicit maps I→ Y, K→ Y, U→ Y→ Y, B→ Y→ Y→ Y. No algebraic, continuity, or differentiability law is imposed on these semantics. statusleanthreeKomorebi.PaperIII.NonlinearObstructions.OperationTree; K…
Exact mathematical passage
\begin{aligned} t ::={}&\operatorname{input}(i) \mid\operatorname{constant}(k) \mid\operatorname{unary}(u,t)\\ &\mid\operatorname{binary}(b,t_1,t_2). \end{aligned}
t_2Definition passage · 1 passage
Search aliases: t_2
Definition passage: Finite grammar for operation trees · Read passage · 02_connections_obstructions.tex, line 772
[Finite grammar for operation trees] For types of input labels I, constants K, unary symbols U, and binary symbols B, the released formal grammar has four constructors: t ::= · input(i) midconstant(k) midunary(u,t) · midbinary(b,t_1,t_2). Given an arbitrary value type Y, evaluation takes completely explicit maps I→ Y, K→ Y, U→ Y→ Y, B→ Y→ Y→ Y. No algebraic, continuity, or differentiability law is imposed on these semantics. statusleanthreeKomorebi.PaperIII.NonlinearObstructions.OperationTree; K…
Exact mathematical passage
\begin{aligned} t ::={}&\operatorname{input}(i) \mid\operatorname{constant}(k) \mid\operatorname{unary}(u,t)\\ &\mid\operatorname{binary}(b,t_1,t_2). \end{aligned}
t_{r(\sigma)}Definition passage · 1 passage
Search aliases: t_r(σ) sigma
Definition passage: Typed operation tree and evaluation · Read passage · 02_connections_obstructions.tex, line 848
[Typed operation tree and evaluation] A typed operation tree is recursively either a leaf of declared color or a node labeled by σ, with one correctly colored child for each input slot of σ. Evaluation is recursive: ev(node(σ;t_1,…,t_r(σ))) = Φ_σ(ev(t_1),…,ev(t_r(σ))). statusroadmapCandidate API: leannameKomorebi.PaperIII.NonlinearObstructions.ColoredOperationTree and leannameColoredOperationTree.eval. This is stronger than the compiled uncolored unary--binary grammar.
Exact mathematical passage
\ev(\operatorname{node}(\sigma;t_1,\ldots,t_{r(\sigma)})) = \Phi_\sigma(\ev(t_1),\ldots,\ev(t_{r(\sigma)})).
T_{vu}Definition passage · 2 passages
Search aliases: T_vu
Definition passage: Gauge change · Read passage · 04_correction_transport.tex, line 653
[Gauge change] A gauge is a family G_v∈GL(X). It changes the edge transports to T'_vu=G_vT_vuG_u^-1.
Exact mathematical passage
T'_{vu}=G_vT_{vu}G_u^{-1}.
\tgtDefinition passage · 19 passages
Search aliases: tgt operatorname
Definition passage: Packet graph and scalar edge system · Read passage · 01_finite_coordinates.tex, line 77
0, · otherwise. An edge system is a coefficient function c:E→ R. Its elementary edge operator and total transfer operator are L_e=packetMatrix(src(e),tgt(e);c(e)), T=∑_e∈ EL_e. statusleanthreeKomorebi.PaperIII.EdgeOperators.PacketGraph; Komorebi.PaperIII.EdgeOperators.PacketGraph.packetMatrix; Komorebi.PaperIII.EdgeOperators.PacketGraph.EdgeSystem; Komorebi.PaperIII.EdgeOperators.PacketGraph.EdgeSystem.edgeOp; Komorebi.PaperIII.EdgeOperators.PacketGraph.EdgeSystem.transferOp
Exact mathematical passage
L_e=\operatorname{packetMatrix}(\src(e),\tgt(e);c(e)), \qquad T=\sum_{e\in E}L_e.
UDefinition passage · 65 passages
Search aliases: U
Definition passage: Finite grammar for operation trees · Read passage · 02_connections_obstructions.tex, line 770
[Finite grammar for operation trees] For types of input labels I, constants K, unary symbols U, and binary symbols B, the released formal grammar has four constructors: t ::= · input(i) midconstant(k) midunary(u,t)
Exact mathematical passage
U
uDefinition passage · 106 passages
Search aliases: u
Definition passage: Finite grammar for operation trees · Read passage · 02_connections_obstructions.tex, line 772
[Finite grammar for operation trees] For types of input labels I, constants K, unary symbols U, and binary symbols B, the released formal grammar has four constructors: t ::= · input(i) midconstant(k) midunary(u,t) · midbinary(b,t_1,t_2). Given an arbitrary value type Y, evaluation takes completely explicit maps I→ Y, K→ Y, U→ Y→ Y, B→ Y→ Y→ Y. No algebraic, continuity, or differentiability law is imposed on these semantics. statusleanthreeKomorebi.PaperIII.NonlinearObstructions.OperationTree; K…
Exact mathematical passage
\begin{aligned} t ::={}&\operatorname{input}(i) \mid\operatorname{constant}(k) \mid\operatorname{unary}(u,t)\\ &\mid\operatorname{binary}(b,t_1,t_2). \end{aligned}
\UcalDefinition passage · 9 passages
Search aliases: Ucal U mathcal
Definition passage: Direct rotation of nearby packet systems · Read passage · 04_correction_transport.tex, line 898
[Direct rotation of nearby packet systems] Let (P_α)_α∈ I and (Q_α)_α∈ I be complete orthogonal packet systems on the same Hilbert space. Put S( Q, P)=∑_α∈ IQ_α P_α. When S( Q, P) is invertible, define U( Q, P) = S( Q, P) (S( Q, P)^*S( Q, P))^-1/2.
Exact mathematical passage
\Ucal(\Qcal,\Pcal) = S(\Qcal,\Pcal) \big(S(\Qcal,\Pcal)^*S(\Qcal,\Pcal)\big)^{-1/2}.
\operatorname{unary}Definition passage · 1 passage
Search aliases: unary operatorname
Definition passage: Finite grammar for operation trees · Read passage · 02_connections_obstructions.tex, line 772
[Finite grammar for operation trees] For types of input labels I, constants K, unary symbols U, and binary symbols B, the released formal grammar has four constructors: t ::= · input(i) midconstant(k) midunary(u,t) · midbinary(b,t_1,t_2). Given an arbitrary value type Y, evaluation takes completely explicit maps I→ Y, K→ Y, U→ Y→ Y, B→ Y→ Y→ Y. No algebraic, continuity, or differentiability law is imposed on these semantics. statusleanthreeKomorebi.PaperIII.NonlinearObstructions.OperationTree; K…
Exact mathematical passage
\begin{aligned} t ::={}&\operatorname{input}(i) \mid\operatorname{constant}(k) \mid\operatorname{unary}(u,t)\\ &\mid\operatorname{binary}(b,t_1,t_2). \end{aligned}
VDefinition passage · 73 passages
Search aliases: V
Definition passage: Packet graph and scalar edge system · Read passage · 01_finite_coordinates.tex, line 66
[Packet graph and scalar edge system] For a,b∈ V and r∈ R, define packetMatrix(a,b;r)_yx = r, · y=b and x=a,
Exact mathematical passage
a,b\in V
vDefinition passage · 78 passages
Search aliases: v
Definition passage: Finitary colored operation signature · Read passage · 02_connections_obstructions.tex, line 834
eldef:signature A finitary colored signature consists of: item a finite type V of colors; item a type Σ of operation symbols; item an arity r(σ)∈ N for every σ∈Σ; item input colors in_σ:Fin(r(σ))→ V; item an output color out(σ)∈ V. A realization assigns a space X_v to each color and a map Φ_σ: ∏_q∈Fin(r(σ))X_in_σ(q) ⟶ X_out(σ). statusroadmapThe intended Lean target is a dependent inductive typed tree; no such declaration is part of the version 1.0.1 completion contract.
Exact mathematical passage
X_v
wDefinition passage · 25 passages
Search aliases: w
Definition passage: Composable word and execution operator · Read passage · 01_finite_coordinates.tex, line 173
[Composable word and execution operator] A finite word w=(e_1,…,e_n) is composable when tgt(e_r)=src(e_r+1) (1≤ r<n). Set L_w=L_e_n⋯ L_e_1, L_∅=I. This definition records the written order of execution even though matrix composition is read right to left. statusleanthreeKomorebi.PaperIII.EdgeOperators.PacketGraph.EdgeSystem.Composable; Komorebi.PaperIII.EdgeOperators.PacketGraph.EdgeSystem.wordOp
Exact mathematical passage
w=(e_1,\ldots,e_n)
XDefinition passage · 128 passages
Search aliases: X
Definition passage: Canonical exact coordinate transport · Read passage · 01_finite_coordinates.tex, line 472
[Canonical exact coordinate transport] For two exact packet systems on the same ambient module, define J^X_b← a = A_b S_a: Coord( P^a)⟶Coord( P^b). The arrow points from the source coordinate system a to the target coordinate system b. statusleanpriorKomorebi.PaperII.NestedRefinement.refineCoordinates; Komorebi.PaperII.NestedRefinement.coordinateRefinementEquiv
Exact mathematical passage
J^X_{b\leftarrow a} = \cA_b\cS_a: \Coord(\cP^a)\longrightarrow\Coord(\cP^b).
X_{\operatorname{in}_\sigma(q)}Definition passage · 1 passage
Search aliases: X_in_σ(q) operatorname sigma
Definition passage: Finitary colored operation signature · Read passage · 02_connections_obstructions.tex, line 835
lored signature consists of: item a finite type V of colors; item a type Σ of operation symbols; item an arity r(σ)∈ N for every σ∈Σ; item input colors in_σ:Fin(r(σ))→ V; item an output color out(σ)∈ V. A realization assigns a space X_v to each color and a map Φ_σ: ∏_q∈Fin(r(σ))X_in_σ(q) ⟶ X_out(σ). statusroadmapThe intended Lean target is a dependent inductive typed tree; no such declaration is part of the version 1.0.1 completion contract.
Exact mathematical passage
\Phi_\sigma: \prod_{q\in\operatorname{Fin}(r(\sigma))}X_{\operatorname{in}_\sigma(q)} \longrightarrow X_{\operatorname{out}(\sigma)}.
x_mDefinition passage · 32 passages
Search aliases: x_m
Definition passage: Depth obstruction · Read passage · 04_correction_transport.tex, line 239
[Depth obstruction] The depth m obstruction of x_m is Ob_m(x_m) = [Φ(x_m)] ∈ cokeroverline L_m, where Φ(x_m) is first viewed in F^mY/F^m+1Y.
Exact mathematical passage
x_m
X_{\operatorname{out}(\sigma)}Definition passage · 1 passage
Search aliases: X_out(σ) operatorname sigma
Definition passage: Finitary colored operation signature · Read passage · 02_connections_obstructions.tex, line 835
lored signature consists of: item a finite type V of colors; item a type Σ of operation symbols; item an arity r(σ)∈ N for every σ∈Σ; item input colors in_σ:Fin(r(σ))→ V; item an output color out(σ)∈ V. A realization assigns a space X_v to each color and a map Φ_σ: ∏_q∈Fin(r(σ))X_in_σ(q) ⟶ X_out(σ). statusroadmapThe intended Lean target is a dependent inductive typed tree; no such declaration is part of the version 1.0.1 completion contract.
Exact mathematical passage
\Phi_\sigma: \prod_{q\in\operatorname{Fin}(r(\sigma))}X_{\operatorname{in}_\sigma(q)} \longrightarrow X_{\operatorname{out}(\sigma)}.
X_vDefinition passage · 3 passages
Search aliases: X_v
Definition passage: Finitary colored operation signature · Read passage · 02_connections_obstructions.tex, line 834
eldef:signature A finitary colored signature consists of: item a finite type V of colors; item a type Σ of operation symbols; item an arity r(σ)∈ N for every σ∈Σ; item input colors in_σ:Fin(r(σ))→ V; item an output color out(σ)∈ V. A realization assigns a space X_v to each color and a map Φ_σ: ∏_q∈Fin(r(σ))X_in_σ(q) ⟶ X_out(σ). statusroadmapThe intended Lean target is a dependent inductive typed tree; no such declaration is part of the version 1.0.1 completion contract.
Exact mathematical passage
X_v
x_\alphaDefinition passage · 2 passages
Search aliases: x_α alpha
Definition passage: Nonlinear packet coordinate map · Read passage · 03_nonlinear_coordinates.tex, line 112
[Nonlinear packet coordinate map] Let P be a packet system on X and let Q be a packet system on Y. For any map F:X→ Y, define F_ Q← P = A_ QF S_ P. Thus F_ Q← P((x_α)_α) = ( Q_γ F(∑_α x_α) )_γ.
Exact mathematical passage
F_{\Qcal\leftarrow\Pcal}((x_\alpha)_\alpha) = \left( Q_\gamma F\left(\sum_\alpha x_\alpha\right) \right)_\gamma.
X_{\alpha_1}Definition passage · 2 passages
Search aliases: X_α_1 alpha
Definition passage: Packet jet · Read passage · 03_nonlinear_coordinates.tex, line 220
[Packet jet] For 1≤ r≤ m, define J^r_γmidα_1,…,α_rF(x) = Q_γ D^rF(x) |_X_α_1×⋯× X_α_r. This is a continuous multilinear map X_α_1×⋯× X_α_r ⟶ Y_γ.
Exact mathematical passage
J^{r}_{\gamma\mid\alpha_1,\ldots,\alpha_r}F(x) = Q_\gamma D^rF(x) \big|_{X_{\alpha_1}\times\cdots\times X_{\alpha_r}}.
X_{\alpha_r}Definition passage · 2 passages
Search aliases: X_α_r alpha
Definition passage: Packet jet · Read passage · 03_nonlinear_coordinates.tex, line 220
[Packet jet] For 1≤ r≤ m, define J^r_γmidα_1,…,α_rF(x) = Q_γ D^rF(x) |_X_α_1×⋯× X_α_r. This is a continuous multilinear map X_α_1×⋯× X_α_r ⟶ Y_γ.
Exact mathematical passage
J^{r}_{\gamma\mid\alpha_1,\ldots,\alpha_r}F(x) = Q_\gamma D^rF(x) \big|_{X_{\alpha_1}\times\cdots\times X_{\alpha_r}}.
\xrightarrowDefinition passage · 11 passages
Search aliases: xrightarrow
Definition passage: Normalized reversible connection · Read passage · 02_connections_obstructions.tex, line 119
[Normalized reversible connection] A normalized reversible connection is a family of linear equivalences Γ_b← a:C_axrightarrow ∼ C_b (a,b∈ B) such that Γ_a← a=id, Γ_a← b=Γ_b← a^-1. No cocycle equation is included in the structure. statusleanthreeKomorebi.PaperIII.Transport.ReversibleConnection
Exact mathematical passage
\Gamma_{b\leftarrow a}:C_a\xrightarrow{\;\sim\;}C_b \qquad(a,b\in B)
YDefinition passage · 87 passages
Search aliases: Y
Definition passage: Finite grammar for operation trees · Read passage · 02_connections_obstructions.tex, line 780
· midbinary(b,t_1,t_2). Given an arbitrary value type Y, evaluation takes completely explicit maps I→ Y, K→ Y, U→ Y→ Y, B→ Y→ Y→ Y. No algebraic, continuity, or differentiability law is imposed on these semantics. statusleanthreeKomorebi.PaperIII.NonlinearObstructions.OperationTree; Komorebi.PaperIII.NonlinearObstructions.OperationTree.eval
Exact mathematical passage
Y
yDefinition passage · 43 passages
Search aliases: y
Definition passage: Packet graph and scalar edge system · Read passage · 01_finite_coordinates.tex, line 67
[Packet graph and scalar edge system] For a,b∈ V and r∈ R, define packetMatrix(a,b;r)_yx = r, · y=b and x=a, 0, · otherwise. An edge system is a coefficient function c:E→ R. Its elementary edge operator and total transfer operator are L_e=packetMatrix(src(e),tgt(e);c(e)), T=∑_e∈ EL_e. statusleanthreeKomorebi.PaperIII.EdgeOperators.PacketGraph; Komorebi.PaperIII.EdgeOperators.PacketGraph.packetMatrix; Komorebi.PaperIII.EdgeOperators.PacketGraph.EdgeSystem; Komorebi.PaperIII.EdgeOperators.PacketGr…
Exact mathematical passage
\operatorname{packetMatrix}(a,b;r)_{yx} = \begin{cases} r,&y=b\text{ and }x=a,\\ 0,&\text{otherwise}. \end{cases}
Y_\gammaDefinition passage · 2 passages
Search aliases: Y_γ gamma
Definition passage: Packet jet · Read passage · 03_nonlinear_coordinates.tex, line 227
[Packet jet] For 1≤ r≤ m, define J^r_γmidα_1,…,α_rF(x) = Q_γ D^rF(x) |_X_α_1×⋯× X_α_r. This is a continuous multilinear map X_α_1×⋯× X_α_r ⟶ Y_γ.
Exact mathematical passage
X_{\alpha_1}\times\cdots\times X_{\alpha_r} \longrightarrow Y_\gamma.
|Definition passage · 15 passages
Search aliases: |
Definition passage: Packet jet · Read passage · 03_nonlinear_coordinates.tex, line 220
[Packet jet] For 1≤ r≤ m, define J^r_γmidα_1,…,α_rF(x) = Q_γ D^rF(x) |_X_α_1×⋯× X_α_r. This is a continuous multilinear map X_α_1×⋯× X_α_r ⟶ Y_γ.
Exact mathematical passage
J^{r}_{\gamma\mid\alpha_1,\ldots,\alpha_r}F(x) = Q_\gamma D^rF(x) \big|_{X_{\alpha_1}\times\cdots\times X_{\alpha_r}}.
|_{X_{\alpha_1}\times\cdots\times X_{\alpha_r}}Definition passage · 1 passage
Search aliases: |_X_α_1×⋯× X_α_r alpha times cdots times alpha
Definition passage: Packet jet · Read passage · 03_nonlinear_coordinates.tex, line 220
[Packet jet] For 1≤ r≤ m, define J^r_γmidα_1,…,α_rF(x) = Q_γ D^rF(x) |_X_α_1×⋯× X_α_r. This is a continuous multilinear map X_α_1×⋯× X_α_r ⟶ Y_γ.
Exact mathematical passage
J^{r}_{\gamma\mid\alpha_1,\ldots,\alpha_r}F(x) = Q_\gamma D^rF(x) \big|_{X_{\alpha_1}\times\cdots\times X_{\alpha_r}}.
\timesDefinition passage · 30 passages
Search aliases: × times
Definition passage: Packet jet · Read passage · 03_nonlinear_coordinates.tex, line 220
[Packet jet] For 1≤ r≤ m, define J^r_γmidα_1,…,α_rF(x) = Q_γ D^rF(x) |_X_α_1×⋯× X_α_r. This is a continuous multilinear map X_α_1×⋯× X_α_r ⟶ Y_γ.
Exact mathematical passage
J^{r}_{\gamma\mid\alpha_1,\ldots,\alpha_r}F(x) = Q_\gamma D^rF(x) \big|_{X_{\alpha_1}\times\cdots\times X_{\alpha_r}}.
\alphaDefinition passage · 81 passages
Search aliases: α alpha
Definition passage: Nonlinear packet coordinate map · Read passage · 03_nonlinear_coordinates.tex, line 112
[Nonlinear packet coordinate map] Let P be a packet system on X and let Q be a packet system on Y. For any map F:X→ Y, define F_ Q← P = A_ QF S_ P. Thus F_ Q← P((x_α)_α) = ( Q_γ F(∑_α x_α) )_γ.
Exact mathematical passage
F_{\Qcal\leftarrow\Pcal}((x_\alpha)_\alpha) = \left( Q_\gamma F\left(\sum_\alpha x_\alpha\right) \right)_\gamma.
\alpha_1Definition passage · 11 passages
Search aliases: α_1 alpha
Definition passage: Packet jet · Read passage · 03_nonlinear_coordinates.tex, line 220
[Packet jet] For 1≤ r≤ m, define J^r_γmidα_1,…,α_rF(x) = Q_γ D^rF(x) |_X_α_1×⋯× X_α_r. This is a continuous multilinear map X_α_1×⋯× X_α_r ⟶ Y_γ.
Exact mathematical passage
J^{r}_{\gamma\mid\alpha_1,\ldots,\alpha_r}F(x) = Q_\gamma D^rF(x) \big|_{X_{\alpha_1}\times\cdots\times X_{\alpha_r}}.
\alpha_rDefinition passage · 8 passages
Search aliases: α_r alpha
Definition passage: Packet jet · Read passage · 03_nonlinear_coordinates.tex, line 220
[Packet jet] For 1≤ r≤ m, define J^r_γmidα_1,…,α_rF(x) = Q_γ D^rF(x) |_X_α_1×⋯× X_α_r. This is a continuous multilinear map X_α_1×⋯× X_α_r ⟶ Y_γ.
Exact mathematical passage
J^{r}_{\gamma\mid\alpha_1,\ldots,\alpha_r}F(x) = Q_\gamma D^rF(x) \big|_{X_{\alpha_1}\times\cdots\times X_{\alpha_r}}.
\GammaDefinition passage · 64 passages
Search aliases: Γ Gamma
Definition passage: Noncanonical connection normalized at each chart · Read passage · 02_connections_obstructions.tex, line 13
[Noncanonical connection normalized at each chart] A minimal connection is a family Γ_b← a∈Aut_R(M) (a,b∈ B) with only Γ_a← a=id_M. Neither inversion on reversed edges nor the cocycle law is a field of the structure. statusleanthreeKomorebi.PaperIII.Transport.Connection
Exact mathematical passage
\Gamma_{b\leftarrow a}\in\operatorname{Aut}_R(M) \qquad(a,b\in B)
\gammaDefinition passage · 32 passages
Search aliases: γ gamma
Definition passage: Nonlinear packet coordinate map · Read passage · 03_nonlinear_coordinates.tex, line 112
[Nonlinear packet coordinate map] Let P be a packet system on X and let Q be a packet system on Y. For any map F:X→ Y, define F_ Q← P = A_ QF S_ P. Thus F_ Q← P((x_α)_α) = ( Q_γ F(∑_α x_α) )_γ.
Exact mathematical passage
F_{\Qcal\leftarrow\Pcal}((x_\alpha)_\alpha) = \left( Q_\gamma F\left(\sum_\alpha x_\alpha\right) \right)_\gamma.
\Gamma^G_{b\leftarrow a}Definition passage · 1 passage
Search aliases: Γ^G_b← a Gamma leftarrow
Definition passage: Gauge change · Read passage · 02_connections_obstructions.tex, line 314
[Gauge change] A gauge is a family of automorphisms G_a∈Aut_R(C_a). It acts on a connection by Γ^G_b← a = G_bΓ_b← aG_a^-1. statusleanthreeKomorebi.PaperIII.Transport.ReversibleConnection.Gauge; Komorebi.PaperIII.Transport.ReversibleConnection.gauge
Exact mathematical passage
\Gamma^G_{b\leftarrow a} = G_b\Gamma_{b\leftarrow a}G_a^{-1}.
\Gamma_{(a_0)}Definition passage · 1 passage
Search aliases: Γ_(a_0) Gamma
Definition passage: Connection transport along a path · Read passage · 02_connections_obstructions.tex, line 267
[Connection transport along a path] For a vertex sequence p=(a_0,a_1,…,a_n), define Γ_p = Γ_a_n← a_n-1⋯ Γ_a_1← a_0, Γ_(a_0)=id_C_a_0. If a_n=a_0, then Γ_p is the holonomy of the loop p. statusleanthreeKomorebi.PaperIII.Transport.ReversibleConnection.pathTransport; Komorebi.PaperIII.Transport.ReversibleConnection.VertexPath; Komorebi.PaperIII.Transport.ReversibleConnection.indexedPathTransport
Exact mathematical passage
\Gamma_p = \Gamma_{a_n\leftarrow a_{n-1}}\cdots \Gamma_{a_1\leftarrow a_0}, \qquad \Gamma_{(a_0)}=\id_{C_{a_0}}.
\Gamma_{a_1\leftarrow a_0}Definition passage · 1 passage
Search aliases: Γ_a_1← a_0 Gamma leftarrow
Definition passage: Connection transport along a path · Read passage · 02_connections_obstructions.tex, line 267
[Connection transport along a path] For a vertex sequence p=(a_0,a_1,…,a_n), define Γ_p = Γ_a_n← a_n-1⋯ Γ_a_1← a_0, Γ_(a_0)=id_C_a_0. If a_n=a_0, then Γ_p is the holonomy of the loop p. statusleanthreeKomorebi.PaperIII.Transport.ReversibleConnection.pathTransport; Komorebi.PaperIII.Transport.ReversibleConnection.VertexPath; Komorebi.PaperIII.Transport.ReversibleConnection.indexedPathTransport
Exact mathematical passage
\Gamma_p = \Gamma_{a_n\leftarrow a_{n-1}}\cdots \Gamma_{a_1\leftarrow a_0}, \qquad \Gamma_{(a_0)}=\id_{C_{a_0}}.
\Gamma_{a_n\leftarrow a_{n-1}}Definition passage · 1 passage
Search aliases: Γ_a_n← a_n-1 Gamma leftarrow
Definition passage: Connection transport along a path · Read passage · 02_connections_obstructions.tex, line 267
[Connection transport along a path] For a vertex sequence p=(a_0,a_1,…,a_n), define Γ_p = Γ_a_n← a_n-1⋯ Γ_a_1← a_0, Γ_(a_0)=id_C_a_0. If a_n=a_0, then Γ_p is the holonomy of the loop p. statusleanthreeKomorebi.PaperIII.Transport.ReversibleConnection.pathTransport; Komorebi.PaperIII.Transport.ReversibleConnection.VertexPath; Komorebi.PaperIII.Transport.ReversibleConnection.indexedPathTransport
Exact mathematical passage
\Gamma_p = \Gamma_{a_n\leftarrow a_{n-1}}\cdots \Gamma_{a_1\leftarrow a_0}, \qquad \Gamma_{(a_0)}=\id_{C_{a_0}}.
\Gamma_{a\leftarrow a}Definition passage · 3 passages
Search aliases: Γ_a← a Gamma leftarrow
Definition passage: Noncanonical connection normalized at each chart · Read passage · 02_connections_obstructions.tex, line 18
[Noncanonical connection normalized at each chart] A minimal connection is a family Γ_b← a∈Aut_R(M) (a,b∈ B) with only Γ_a← a=id_M. Neither inversion on reversed edges nor the cocycle law is a field of the structure. statusleanthreeKomorebi.PaperIII.Transport.Connection
Exact mathematical passage
\Gamma_{a\leftarrow a}=\id_M.
\Gamma_{a\leftarrow b}Definition passage · 2 passages
Search aliases: Γ_a← b Gamma leftarrow
Definition passage: Normalized reversible connection · Read passage · 02_connections_obstructions.tex, line 124
[Normalized reversible connection] A normalized reversible connection is a family of linear equivalences Γ_b← a:C_axrightarrow ∼ C_b (a,b∈ B) such that Γ_a← a=id, Γ_a← b=Γ_b← a^-1. No cocycle equation is included in the structure. statusleanthreeKomorebi.PaperIII.Transport.ReversibleConnection
Exact mathematical passage
\Gamma_{a\leftarrow a}=\id, \qquad \Gamma_{a\leftarrow b}=\Gamma_{b\leftarrow a}^{-1}.
\Gamma_{a\leftarrow c}Definition passage · 7 passages
Search aliases: Γ_a← c Gamma leftarrow
Definition passage: Triangle holonomy · Read passage · 02_connections_obstructions.tex, line 192
[Triangle holonomy] The triangle holonomy based at a is H_c,b,a = Γ_a← c Γ_c← b Γ_b← a ∈Aut_R(C_a). It traverses a→ b→ c→ a. statusleanthreeKomorebi.PaperIII.Transport.ReversibleConnection.triangleHolonomy; Komorebi.PaperIII.Transport.ReversibleConnection.triangleObstruction
Exact mathematical passage
H_{c,b,a} = \Gamma_{a\leftarrow c} \Gamma_{c\leftarrow b} \Gamma_{b\leftarrow a} \in\operatorname{Aut}_R(C_a).
\Gamma_{b\leftarrow a}Definition passage · 17 passages
Search aliases: Γ_b← a Gamma leftarrow
Definition passage: Noncanonical connection normalized at each chart · Read passage · 02_connections_obstructions.tex, line 13
[Noncanonical connection normalized at each chart] A minimal connection is a family Γ_b← a∈Aut_R(M) (a,b∈ B) with only Γ_a← a=id_M. Neither inversion on reversed edges nor the cocycle law is a field of the structure. statusleanthreeKomorebi.PaperIII.Transport.Connection
Exact mathematical passage
\Gamma_{b\leftarrow a}\in\operatorname{Aut}_R(M) \qquad(a,b\in B)
\Gamma_{b\leftarrow a}^{-1}Definition passage · 2 passages
Search aliases: Γ_b← a^-1 Gamma leftarrow
Definition passage: Normalized reversible connection · Read passage · 02_connections_obstructions.tex, line 124
[Normalized reversible connection] A normalized reversible connection is a family of linear equivalences Γ_b← a:C_axrightarrow ∼ C_b (a,b∈ B) such that Γ_a← a=id, Γ_a← b=Γ_b← a^-1. No cocycle equation is included in the structure. statusleanthreeKomorebi.PaperIII.Transport.ReversibleConnection
Exact mathematical passage
\Gamma_{a\leftarrow a}=\id, \qquad \Gamma_{a\leftarrow b}=\Gamma_{b\leftarrow a}^{-1}.
\Gamma_{c\leftarrow a}Definition passage · 4 passages
Search aliases: Γ_c← a Gamma leftarrow
Definition passage: Calibration and flatness · Read passage · 02_connections_obstructions.tex, line 146
[Calibration and flatness] When the C_a are exact packet coordinates of one ambient module, the connection is canonically calibrated if Γ_b← a=J_b← a for every a,b. It is flat if Γ_c← bΓ_b← a = Γ_c← a for every a,b,c. The canonical connection is flat. A general flat connection is proved in [source reference] to be related to it by a gauge change. statusleanthreeKomorebi.PaperIII.Transport.ReversibleConnection.CocycleAt; Komorebi.PaperIII.Transport.ReversibleConnection.Flat; Komorebi.PaperIII.Tra…
Exact mathematical passage
\Gamma_{c\leftarrow b}\Gamma_{b\leftarrow a} = \Gamma_{c\leftarrow a} \quad\text{for every }a,b,c.
\Gamma_{c\leftarrow b}Definition passage · 7 passages
Search aliases: Γ_c← b Gamma leftarrow
Definition passage: Calibration and flatness · Read passage · 02_connections_obstructions.tex, line 146
[Calibration and flatness] When the C_a are exact packet coordinates of one ambient module, the connection is canonically calibrated if Γ_b← a=J_b← a for every a,b. It is flat if Γ_c← bΓ_b← a = Γ_c← a for every a,b,c. The canonical connection is flat. A general flat connection is proved in [source reference] to be related to it by a gauge change. statusleanthreeKomorebi.PaperIII.Transport.ReversibleConnection.CocycleAt; Komorebi.PaperIII.Transport.ReversibleConnection.Flat; Komorebi.PaperIII.Tra…
Exact mathematical passage
\Gamma_{c\leftarrow b}\Gamma_{b\leftarrow a} = \Gamma_{c\leftarrow a} \quad\text{for every }a,b,c.
\Gamma_pDefinition passage · 3 passages
Search aliases: Γ_p Gamma
Definition passage: Connection transport along a path · Read passage · 02_connections_obstructions.tex, line 267
[Connection transport along a path] For a vertex sequence p=(a_0,a_1,…,a_n), define Γ_p = Γ_a_n← a_n-1⋯ Γ_a_1← a_0, Γ_(a_0)=id_C_a_0. If a_n=a_0, then Γ_p is the holonomy of the loop p. statusleanthreeKomorebi.PaperIII.Transport.ReversibleConnection.pathTransport; Komorebi.PaperIII.Transport.ReversibleConnection.VertexPath; Komorebi.PaperIII.Transport.ReversibleConnection.indexedPathTransport
Exact mathematical passage
\Gamma_p = \Gamma_{a_n\leftarrow a_{n-1}}\cdots \Gamma_{a_1\leftarrow a_0}, \qquad \Gamma_{(a_0)}=\id_{C_{a_0}}.
\DeltaDefinition passage · 26 passages
Search aliases: Δ Delta
Definition passage: Cocycle defect · Read passage · 02_connections_obstructions.tex, line 176
[Cocycle defect] For a,b,c∈ B, define the additive cocycle defect Δ_c,b,a = Γ_c← bΓ_b← a -Γ_c← a ∈Hom_R(C_a,C_c). statusleanthreeKomorebi.PaperIII.Transport.ReversibleConnection.cocycleDefect
Exact mathematical passage
\Delta_{c,b,a} = \Gamma_{c\leftarrow b}\Gamma_{b\leftarrow a} -\Gamma_{c\leftarrow a} \in\Hom_R(C_a,C_c).
\Delta_{c,b,a}Definition passage · 8 passages
Search aliases: Δ_c,b,a Delta
Definition passage: Cocycle defect · Read passage · 02_connections_obstructions.tex, line 176
[Cocycle defect] For a,b,c∈ B, define the additive cocycle defect Δ_c,b,a = Γ_c← bΓ_b← a -Γ_c← a ∈Hom_R(C_a,C_c). statusleanthreeKomorebi.PaperIII.Transport.ReversibleConnection.cocycleDefect
Exact mathematical passage
\Delta_{c,b,a} = \Gamma_{c\leftarrow b}\Gamma_{b\leftarrow a} -\Gamma_{c\leftarrow a} \in\Hom_R(C_a,C_c).
\Delta_FDefinition passage · 12 passages
Search aliases: Δ_F Delta
Definition passage: Nonlinear refinement defect · Read passage · 03_nonlinear_coordinates.tex, line 737
[Nonlinear refinement defect] The pointwise defect of F is Δ_F(x) = C_YF_f(x)-F_c(C_Xx). The two models are exactly compatible when Δ_F vanishes everywhere.
Exact mathematical passage
\Delta_F(x) = C_YF_f(x)-F_c(C_Xx).
\muDefinition passage · 29 passages
Search aliases: μ mu
Definition passage: Holonomy obstruction and packet residuals · Read passage · 02_connections_obstructions.tex, line 472
[Holonomy obstruction and packet residuals] Define Ob_c,b,a=H_c,b,a-id_C_a, Ob^μν_c,b,a = Π^a_μOb_c,b,aΠ^a_ν. The map Ob^μν_c,b,a is the obstruction block, or packet residual, from input packet ν to output packet μ. If it is nonzero, then (μ,ν) and that nonvanishing proof form an obstruction packet certificate. Diagonal blocks detect holonomy within one packet. Off-diagonal blocks detect packet mixing induced by holonomy. statusleanthreeKomorebi.PaperIII.HolonomyBlocks.PacketResolution; Komorebi…
Exact mathematical passage
\Ob_{c,b,a}=H_{c,b,a}-\id_{C_a}, \qquad \Ob^{\mu\nu}_{c,b,a} = \Pi^a_\mu\Ob_{c,b,a}\Pi^a_\nu.
\nuDefinition passage · 21 passages
Search aliases: ν nu
Definition passage: Holonomy obstruction and packet residuals · Read passage · 02_connections_obstructions.tex, line 472
[Holonomy obstruction and packet residuals] Define Ob_c,b,a=H_c,b,a-id_C_a, Ob^μν_c,b,a = Π^a_μOb_c,b,aΠ^a_ν. The map Ob^μν_c,b,a is the obstruction block, or packet residual, from input packet ν to output packet μ. If it is nonzero, then (μ,ν) and that nonvanishing proof form an obstruction packet certificate. Diagonal blocks detect holonomy within one packet. Off-diagonal blocks detect packet mixing induced by holonomy. statusleanthreeKomorebi.PaperIII.HolonomyBlocks.PacketResolution; Komorebi…
Exact mathematical passage
\Ob_{c,b,a}=H_{c,b,a}-\id_{C_a}, \qquad \Ob^{\mu\nu}_{c,b,a} = \Pi^a_\mu\Ob_{c,b,a}\Pi^a_\nu.
\PiDefinition passage · 11 passages
Search aliases: Π Pi
Definition passage: Holonomy obstruction and packet residuals · Read passage · 02_connections_obstructions.tex, line 472
[Holonomy obstruction and packet residuals] Define Ob_c,b,a=H_c,b,a-id_C_a, Ob^μν_c,b,a = Π^a_μOb_c,b,aΠ^a_ν. The map Ob^μν_c,b,a is the obstruction block, or packet residual, from input packet ν to output packet μ. If it is nonzero, then (μ,ν) and that nonvanishing proof form an obstruction packet certificate. Diagonal blocks detect holonomy within one packet. Off-diagonal blocks detect packet mixing induced by holonomy. statusleanthreeKomorebi.PaperIII.HolonomyBlocks.PacketResolution; Komorebi…
Exact mathematical passage
\Ob_{c,b,a}=H_{c,b,a}-\id_{C_a}, \qquad \Ob^{\mu\nu}_{c,b,a} = \Pi^a_\mu\Ob_{c,b,a}\Pi^a_\nu.
\Pi^a_\muDefinition passage · 8 passages
Search aliases: Π^a_μ Pi mu
Definition passage: Holonomy obstruction and packet residuals · Read passage · 02_connections_obstructions.tex, line 472
[Holonomy obstruction and packet residuals] Define Ob_c,b,a=H_c,b,a-id_C_a, Ob^μν_c,b,a = Π^a_μOb_c,b,aΠ^a_ν. The map Ob^μν_c,b,a is the obstruction block, or packet residual, from input packet ν to output packet μ. If it is nonzero, then (μ,ν) and that nonvanishing proof form an obstruction packet certificate. Diagonal blocks detect holonomy within one packet. Off-diagonal blocks detect packet mixing induced by holonomy. statusleanthreeKomorebi.PaperIII.HolonomyBlocks.PacketResolution; Komorebi…
Exact mathematical passage
\Ob_{c,b,a}=H_{c,b,a}-\id_{C_a}, \qquad \Ob^{\mu\nu}_{c,b,a} = \Pi^a_\mu\Ob_{c,b,a}\Pi^a_\nu.
\Pi^a_\nuDefinition passage · 5 passages
Search aliases: Π^a_ν Pi nu
Definition passage: Holonomy obstruction and packet residuals · Read passage · 02_connections_obstructions.tex, line 472
[Holonomy obstruction and packet residuals] Define Ob_c,b,a=H_c,b,a-id_C_a, Ob^μν_c,b,a = Π^a_μOb_c,b,aΠ^a_ν. The map Ob^μν_c,b,a is the obstruction block, or packet residual, from input packet ν to output packet μ. If it is nonzero, then (μ,ν) and that nonvanishing proof form an obstruction packet certificate. Diagonal blocks detect holonomy within one packet. Off-diagonal blocks detect packet mixing induced by holonomy. statusleanthreeKomorebi.PaperIII.HolonomyBlocks.PacketResolution; Komorebi…
Exact mathematical passage
\Ob_{c,b,a}=H_{c,b,a}-\id_{C_a}, \qquad \Ob^{\mu\nu}_{c,b,a} = \Pi^a_\mu\Ob_{c,b,a}\Pi^a_\nu.
\SigmaDefinition passage · 2 passages
Search aliases: Σ Sigma
Definition passage: Finitary colored operation signature · Read passage · 02_connections_obstructions.tex, line 828
[Finitary colored operation signature] A finitary colored signature consists of: item a finite type V of colors; item a type Σ of operation symbols; item an arity r(σ)∈ N for every σ∈Σ; item input colors in_σ:Fin(r(σ))→ V; item an output color out(σ)∈ V. A realization assigns a space X_v to each color and a map Φ_σ: ∏_q∈Fin(r(σ))X_in_σ(q) ⟶ X_out(σ). statusroadmapThe intended Lean target is a dependent inductive typed tree; no such declaration is part of the version 1.0.1 completion contract.
Exact mathematical passage
\Sigma
\sigmaDefinition passage · 9 passages
Search aliases: σ sigma
Definition passage: Finitary colored operation signature · Read passage · 02_connections_obstructions.tex, line 829
[Finitary colored operation signature] A finitary colored signature consists of: item a finite type V of colors; item a type Σ of operation symbols; item an arity r(σ)∈ N for every σ∈Σ; item input colors in_σ:Fin(r(σ))→ V; item an output color out(σ)∈ V. A realization assigns a space X_v to each color and a map Φ_σ: ∏_q∈Fin(r(σ))X_in_σ(q) ⟶ X_out(σ). statusroadmapThe intended Lean target is a dependent inductive typed tree; no such declaration is part of the version 1.0.1 completion contract.
Exact mathematical passage
r(\sigma)\in\N
\PhiDefinition passage · 32 passages
Search aliases: Φ Phi
Definition passage: Finitary colored operation signature · Read passage · 02_connections_obstructions.tex, line 835
lored signature consists of: item a finite type V of colors; item a type Σ of operation symbols; item an arity r(σ)∈ N for every σ∈Σ; item input colors in_σ:Fin(r(σ))→ V; item an output color out(σ)∈ V. A realization assigns a space X_v to each color and a map Φ_σ: ∏_q∈Fin(r(σ))X_in_σ(q) ⟶ X_out(σ). statusroadmapThe intended Lean target is a dependent inductive typed tree; no such declaration is part of the version 1.0.1 completion contract.
Exact mathematical passage
\Phi_\sigma: \prod_{q\in\operatorname{Fin}(r(\sigma))}X_{\operatorname{in}_\sigma(q)} \longrightarrow X_{\operatorname{out}(\sigma)}.
\Phi_\sigmaDefinition passage · 3 passages
Search aliases: Φ_σ Phi sigma
Definition passage: Finitary colored operation signature · Read passage · 02_connections_obstructions.tex, line 835
lored signature consists of: item a finite type V of colors; item a type Σ of operation symbols; item an arity r(σ)∈ N for every σ∈Σ; item input colors in_σ:Fin(r(σ))→ V; item an output color out(σ)∈ V. A realization assigns a space X_v to each color and a map Φ_σ: ∏_q∈Fin(r(σ))X_in_σ(q) ⟶ X_out(σ). statusroadmapThe intended Lean target is a dependent inductive typed tree; no such declaration is part of the version 1.0.1 completion contract.
Exact mathematical passage
\Phi_\sigma: \prod_{q\in\operatorname{Fin}(r(\sigma))}X_{\operatorname{in}_\sigma(q)} \longrightarrow X_{\operatorname{out}(\sigma)}.
\ldotsDefinition passage · 43 passages
Search aliases: … ldots
Definition passage: Composable word and execution operator · Read passage · 01_finite_coordinates.tex, line 173
[Composable word and execution operator] A finite word w=(e_1,…,e_n) is composable when tgt(e_r)=src(e_r+1) (1≤ r<n). Set L_w=L_e_n⋯ L_e_1, L_∅=I. This definition records the written order of execution even though matrix composition is read right to left. statusleanthreeKomorebi.PaperIII.EdgeOperators.PacketGraph.EdgeSystem.Composable; Komorebi.PaperIII.EdgeOperators.PacketGraph.EdgeSystem.wordOp
Exact mathematical passage
w=(e_1,\ldots,e_n)
\leftarrowDefinition passage · 83 passages
Search aliases: ← leftarrow
Definition passage: Canonical exact coordinate transport · Read passage · 01_finite_coordinates.tex, line 472
[Canonical exact coordinate transport] For two exact packet systems on the same ambient module, define J^X_b← a = A_b S_a: Coord( P^a)⟶Coord( P^b). The arrow points from the source coordinate system a to the target coordinate system b. statusleanpriorKomorebi.PaperII.NestedRefinement.refineCoordinates; Komorebi.PaperII.NestedRefinement.coordinateRefinementEquiv
Exact mathematical passage
J^X_{b\leftarrow a} = \cA_b\cS_a: \Coord(\cP^a)\longrightarrow\Coord(\cP^b).
\toDefinition passage · 70 passages
Search aliases: → to
Definition passage: Packet graph and scalar edge system · Read passage · 01_finite_coordinates.tex, line 75
0, · otherwise. An edge system is a coefficient function c:E→ R. Its elementary edge operator and total transfer operator are L_e=packetMatrix(src(e),tgt(e);c(e)), T=∑_e∈ EL_e. statusleanthreeKomorebi.PaperIII.EdgeOperators.PacketGraph; Komorebi.PaperIII.EdgeOperators.PacketGraph.packetMatrix; Komorebi.PaperIII.EdgeOperators.PacketGraph.EdgeSystem; Komorebi.PaperIII.EdgeOperators.PacketGraph.EdgeSystem.edgeOp; Komorebi.PaperIII.EdgeOperators.PacketGraph.EdgeSystem.transferOp
Exact mathematical passage
c:E\to R
\forallDefinition passage · 3 passages
Search aliases: ∀ forall
Definition passage: Solution and obstruction packet for a candidate · Read passage · 02_connections_obstructions.tex, line 409
[Solution and obstruction packet for a candidate] A candidate x is a solution when IsSolution_r(x) Longleftrightarrow ∀ p, r(x,p)=0. An obstruction packet for x is a pair consisting of a named packet p and a certificate r(x,p)≠0. statusleanthreeKomorebi.PaperIII.NonlinearObstructions.IsSolution; Komorebi.PaperIII.NonlinearObstructions.ObstructionPacket
Exact mathematical passage
\operatorname{IsSolution}_r(x) \quad\Longleftrightarrow\quad \forall p,\ r(x,p)=0.
\varnothingDefinition passage · 3 passages
Search aliases: ∅ varnothing
Definition passage: Composable word and execution operator · Read passage · 01_finite_coordinates.tex, line 179
[Composable word and execution operator] A finite word w=(e_1,…,e_n) is composable when tgt(e_r)=src(e_r+1) (1≤ r<n). Set L_w=L_e_n⋯ L_e_1, L_∅=I. This definition records the written order of execution even though matrix composition is read right to left. statusleanthreeKomorebi.PaperIII.EdgeOperators.PacketGraph.EdgeSystem.Composable; Komorebi.PaperIII.EdgeOperators.PacketGraph.EdgeSystem.wordOp
Exact mathematical passage
L_w=L_{e_n}\cdots L_{e_1}, \qquad L_{\varnothing}=I.
\inDefinition passage · 126 passages
Search aliases: ∈ in
Definition passage: Packet graph and scalar edge system · Read passage · 01_finite_coordinates.tex, line 66
[Packet graph and scalar edge system] For a,b∈ V and r∈ R, define packetMatrix(a,b;r)_yx = r, · y=b and x=a,
Exact mathematical passage
a,b\in V
\prodDefinition passage · 5 passages
Search aliases: ∏ prod
Definition passage: Finitary colored operation signature · Read passage · 02_connections_obstructions.tex, line 835
lored signature consists of: item a finite type V of colors; item a type Σ of operation symbols; item an arity r(σ)∈ N for every σ∈Σ; item input colors in_σ:Fin(r(σ))→ V; item an output color out(σ)∈ V. A realization assigns a space X_v to each color and a map Φ_σ: ∏_q∈Fin(r(σ))X_in_σ(q) ⟶ X_out(σ). statusroadmapThe intended Lean target is a dependent inductive typed tree; no such declaration is part of the version 1.0.1 completion contract.
Exact mathematical passage
\Phi_\sigma: \prod_{q\in\operatorname{Fin}(r(\sigma))}X_{\operatorname{in}_\sigma(q)} \longrightarrow X_{\operatorname{out}(\sigma)}.
\prod_{q\in\operatorname{Fin}(r(\sigma))}Definition passage · 1 passage
Search aliases: ∏_q∈Fin(r(σ)) prod in operatorname sigma
Definition passage: Finitary colored operation signature · Read passage · 02_connections_obstructions.tex, line 835
lored signature consists of: item a finite type V of colors; item a type Σ of operation symbols; item an arity r(σ)∈ N for every σ∈Σ; item input colors in_σ:Fin(r(σ))→ V; item an output color out(σ)∈ V. A realization assigns a space X_v to each color and a map Φ_σ: ∏_q∈Fin(r(σ))X_in_σ(q) ⟶ X_out(σ). statusroadmapThe intended Lean target is a dependent inductive typed tree; no such declaration is part of the version 1.0.1 completion contract.
Exact mathematical passage
\Phi_\sigma: \prod_{q\in\operatorname{Fin}(r(\sigma))}X_{\operatorname{in}_\sigma(q)} \longrightarrow X_{\operatorname{out}(\sigma)}.
\sumDefinition passage · 56 passages
Search aliases: ∑ sum
Definition passage: Packet graph and scalar edge system · Read passage · 01_finite_coordinates.tex, line 77
0, · otherwise. An edge system is a coefficient function c:E→ R. Its elementary edge operator and total transfer operator are L_e=packetMatrix(src(e),tgt(e);c(e)), T=∑_e∈ EL_e. statusleanthreeKomorebi.PaperIII.EdgeOperators.PacketGraph; Komorebi.PaperIII.EdgeOperators.PacketGraph.packetMatrix; Komorebi.PaperIII.EdgeOperators.PacketGraph.EdgeSystem; Komorebi.PaperIII.EdgeOperators.PacketGraph.EdgeSystem.edgeOp; Komorebi.PaperIII.EdgeOperators.PacketGraph.EdgeSystem.transferOp
Exact mathematical passage
L_e=\operatorname{packetMatrix}(\src(e),\tgt(e);c(e)), \qquad T=\sum_{e\in E}L_e.
\sum_{e\in E}Definition passage · 2 passages
Search aliases: ∑_e∈ E sum in
Definition passage: Packet graph and scalar edge system · Read passage · 01_finite_coordinates.tex, line 77
0, · otherwise. An edge system is a coefficient function c:E→ R. Its elementary edge operator and total transfer operator are L_e=packetMatrix(src(e),tgt(e);c(e)), T=∑_e∈ EL_e. statusleanthreeKomorebi.PaperIII.EdgeOperators.PacketGraph; Komorebi.PaperIII.EdgeOperators.PacketGraph.packetMatrix; Komorebi.PaperIII.EdgeOperators.PacketGraph.EdgeSystem; Komorebi.PaperIII.EdgeOperators.PacketGraph.EdgeSystem.edgeOp; Komorebi.PaperIII.EdgeOperators.PacketGraph.EdgeSystem.transferOp
Exact mathematical passage
L_e=\operatorname{packetMatrix}(\src(e),\tgt(e);c(e)), \qquad T=\sum_{e\in E}L_e.
\sum_\alphaDefinition passage · 9 passages
Search aliases: ∑_α sum alpha
Definition passage: Nonlinear packet coordinate map · Read passage · 03_nonlinear_coordinates.tex, line 112
[Nonlinear packet coordinate map] Let P be a packet system on X and let Q be a packet system on Y. For any map F:X→ Y, define F_ Q← P = A_ QF S_ P. Thus F_ Q← P((x_α)_α) = ( Q_γ F(∑_α x_α) )_γ.
Exact mathematical passage
F_{\Qcal\leftarrow\Pcal}((x_\alpha)_\alpha) = \left( Q_\gamma F\left(\sum_\alpha x_\alpha\right) \right)_\gamma.
\sum_{\alpha\in I}Definition passage · 2 passages
Search aliases: ∑_α∈ I sum alpha in
Definition passage: Direct rotation of nearby packet systems · Read passage · 04_correction_transport.tex, line 894
[Direct rotation of nearby packet systems] Let (P_α)_α∈ I and (Q_α)_α∈ I be complete orthogonal packet systems on the same Hilbert space. Put S( Q, P)=∑_α∈ IQ_α P_α. When S( Q, P) is invertible, define U( Q, P) = S( Q, P) (S( Q, P)^*S( Q, P))^-1/2.
Exact mathematical passage
S(\Qcal,\Pcal)=\sum_{\alpha\in I}Q_\alpha P_\alpha.
\simDefinition passage · 7 passages
Search aliases: ∼ sim
Definition passage: Normalized reversible connection · Read passage · 02_connections_obstructions.tex, line 119
[Normalized reversible connection] A normalized reversible connection is a family of linear equivalences Γ_b← a:C_axrightarrow ∼ C_b (a,b∈ B) such that Γ_a← a=id, Γ_a← b=Γ_b← a^-1. No cocycle equation is included in the structure. statusleanthreeKomorebi.PaperIII.Transport.ReversibleConnection
Exact mathematical passage
\Gamma_{b\leftarrow a}:C_a\xrightarrow{\;\sim\;}C_b \qquad(a,b\in B)
\neDefinition passage · 22 passages
Search aliases: ≠ ne
Definition passage: Solution and obstruction packet for a candidate · Read passage · 02_connections_obstructions.tex, line 415
[Solution and obstruction packet for a candidate] A candidate x is a solution when IsSolution_r(x) Longleftrightarrow ∀ p, r(x,p)=0. An obstruction packet for x is a pair consisting of a named packet p and a certificate r(x,p)≠0. statusleanthreeKomorebi.PaperIII.NonlinearObstructions.IsSolution; Komorebi.PaperIII.NonlinearObstructions.ObstructionPacket
Exact mathematical passage
r(x,p)\ne0
\leDefinition passage · 51 passages
Search aliases: ≤ le
Definition passage: Composable word and execution operator · Read passage · 01_finite_coordinates.tex, line 174
[Composable word and execution operator] A finite word w=(e_1,…,e_n) is composable when tgt(e_r)=src(e_r+1) (1≤ r<n). Set L_w=L_e_n⋯ L_e_1, L_∅=I. This definition records the written order of execution even though matrix composition is read right to left. statusleanthreeKomorebi.PaperIII.EdgeOperators.PacketGraph.EdgeSystem.Composable; Komorebi.PaperIII.EdgeOperators.PacketGraph.EdgeSystem.wordOp
Exact mathematical passage
\tgt(e_r)=\src(e_{r+1}) \qquad (1\le r<n).
\subseteqDefinition passage · 16 passages
Search aliases: ⊆ subseteq
Definition passage: Grade respecting operation · Read passage · 03_nonlinear_coordinates.tex, line 574
[Grade respecting operation] An r multilinear map μ:A^r→ A respects the grading when μ(A_g_1,…,A_g_r) ⊆ A_g_1+⋯+g_r.
Exact mathematical passage
\mu(A_{g_1},\ldots,A_{g_r}) \subseteq A_{g_1+\cdots+g_r}.
\oplusDefinition passage · 3 passages
Search aliases: ⊕ oplus
Definition passage: Mapping cone · Read passage · 03_nonlinear_coordinates.tex, line 1125
[Mapping cone] Let D:C^bullet→ E^bullet be a cochain map. Its mapping cone is Cone(D)^n=E^n⊕ C^n+1 with differential d_Cone(e,c)=(d_Ee+Dc,-d_Cc).
Exact mathematical passage
\Cone(D)^n=E^n\oplus C^{n+1}
\cdotsDefinition passage · 25 passages
Search aliases: ⋯ cdots
Definition passage: Composable word and execution operator · Read passage · 01_finite_coordinates.tex, line 179
[Composable word and execution operator] A finite word w=(e_1,…,e_n) is composable when tgt(e_r)=src(e_r+1) (1≤ r<n). Set L_w=L_e_n⋯ L_e_1, L_∅=I. This definition records the written order of execution even though matrix composition is read right to left. statusleanthreeKomorebi.PaperIII.EdgeOperators.PacketGraph.EdgeSystem.Composable; Komorebi.PaperIII.EdgeOperators.PacketGraph.EdgeSystem.wordOp
Exact mathematical passage
L_w=L_{e_n}\cdots L_{e_1}, \qquad L_{\varnothing}=I.
\longrightarrowDefinition passage · 30 passages
Search aliases: ⟶ longrightarrow
Definition passage: Canonical exact coordinate transport · Read passage · 01_finite_coordinates.tex, line 472
[Canonical exact coordinate transport] For two exact packet systems on the same ambient module, define J^X_b← a = A_b S_a: Coord( P^a)⟶Coord( P^b). The arrow points from the source coordinate system a to the target coordinate system b. statusleanpriorKomorebi.PaperII.NestedRefinement.refineCoordinates; Komorebi.PaperII.NestedRefinement.coordinateRefinementEquiv
Exact mathematical passage
J^X_{b\leftarrow a} = \cA_b\cS_a: \Coord(\cP^a)\longrightarrow\Coord(\cP^b).
jIntroduction passage · 59 passages
Search aliases: j
Introduction passage · Read passage · 01_finite_coordinates.tex, line 274
Write Walk_n(i,j) for the finite set of composable edge tuples of length n whose first source is i and whose final target is j. For n=0, it has one empty walk when i=j and is empty otherwise. Assign the empty walk the coefficient 1.
Exact mathematical passage
\Walk_n(i,j)
\WalkIntroduction passage · 3 passages
Search aliases: Walk operatorname
Introduction passage · Read passage · 01_finite_coordinates.tex, line 274
Write Walk_n(i,j) for the finite set of composable edge tuples of length n whose first source is i and whose final target is j. For n=0, it has one empty walk when i=j and is empty otherwise. Assign the empty walk the coefficient 1.
Exact mathematical passage
\Walk_n(i,j)
\Walk_nIntroduction passage · 3 passages
Search aliases: Walk_n Walk operatorname
Introduction passage · Read passage · 01_finite_coordinates.tex, line 274
Write Walk_n(i,j) for the finite set of composable edge tuples of length n whose first source is i and whose final target is j. For n=0, it has one empty walk when i=j and is empty otherwise. Assign the empty walk the coefficient 1.
Exact mathematical passage
\Walk_n(i,j)
\mathcal AUse in source · 4 passages
Search aliases: A mathcal
Use in source · visual_atlas.tex, line 28
A_a, S_a · Inverse analysis and synthesis maps, which may be maps of sets. · pagerefV10
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\mathcal A_a,\mathcal S_a
A^{-1}Use in source · 5 passages
Search aliases: A^-1
Use in source · Read passage · 04_correction_transport.tex, line 540
[Nonlinear Schur derivative] At (u_0,v_0), DR = D_uF_P - D_vF_P A^-1D_uF_Q.
Exact mathematical passage
DR = D_uF_P - D_vF_P A^{-1}D_uF_Q.
A^{b_1}Use in source · 2 passages
Search aliases: A^b_1
Use in source · Read passage · 04_correction_transport.tex, line 766
[Abelian cohomology class] When the structure group A is abelian, gauge classes of transports are naturally H^1(Γ,A) ≅ Hom(H_1(Γ, Z),A). After a basis of H_1(Γ, Z) is chosen, this group is identified with A^b_1.
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A^{b_1}
a_{1,g_1}Use in source · 1 passage
Search aliases: a_1,g_1
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 583
[Graded packet convolution] If a_j=∑_g∈ Ga_j,g and μ respects the grading, then P_kμ(a_1,…,a_r) = ∑_g_1+⋯+g_r=k μ(a_1,g_1,…,a_r,g_r).
Exact mathematical passage
P_k\mu(a_1,\ldots,a_r) = \sum_{g_1+\cdots+g_r=k} \mu(a_{1,g_1},\ldots,a_{r,g_r}).
\mathcal A_aUse in source · 1 passage
Search aliases: A_a mathcal
Use in source · visual_atlas.tex, line 28
A_a, S_a · Inverse analysis and synthesis maps, which may be maps of sets. · pagerefV10
Exact mathematical passage
\mathcal A_a,\mathcal S_a
A_gUse in source · 1 passage
Search aliases: A_g
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 567
Let G be a finite abelian group and let A=⊕_g∈ GA_g be a G graded module.
Exact mathematical passage
A=\bigoplus_{g\in G}A_g
A_iUse in source · 1 passage
Search aliases: A_i
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 597
[Cyclic product formula] For a cyclically graded algebra A=⊕_j∈ Z/N ZA_j, A_iA_j⊆ A_i+j, one has P_k(ab)= ∑_i+j=ka_ib_j.
Exact mathematical passage
A=\bigoplus_{j\in\mathbb Z/N\mathbb Z}A_j, \qquad A_iA_j\subseteq A_{i+j},
a_iUse in source · 1 passage
Search aliases: a_i
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 603
[Cyclic product formula] For a cyclically graded algebra A=⊕_j∈ Z/N ZA_j, A_iA_j⊆ A_i+j, one has P_k(ab)= ∑_i+j=ka_ib_j.
Exact mathematical passage
P_k(ab)= \sum_{i+j=k}a_ib_j.
A_{i+j}Use in source · 1 passage
Search aliases: A_i+j
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 597
[Cyclic product formula] For a cyclically graded algebra A=⊕_j∈ Z/N ZA_j, A_iA_j⊆ A_i+j, one has P_k(ab)= ∑_i+j=ka_ib_j.
Exact mathematical passage
A=\bigoplus_{j\in\mathbb Z/N\mathbb Z}A_j, \qquad A_iA_j\subseteq A_{i+j},
A_jUse in source · 1 passage
Search aliases: A_j
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 597
[Cyclic product formula] For a cyclically graded algebra A=⊕_j∈ Z/N ZA_j, A_iA_j⊆ A_i+j, one has P_k(ab)= ∑_i+j=ka_ib_j.
Exact mathematical passage
A=\bigoplus_{j\in\mathbb Z/N\mathbb Z}A_j, \qquad A_iA_j\subseteq A_{i+j},
a_jUse in source · 1 passage
Search aliases: a_j
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 582
[Graded packet convolution] If a_j=∑_g∈ Ga_j,g and μ respects the grading, then P_kμ(a_1,…,a_r) = ∑_g_1+⋯+g_r=k μ(a_1,g_1,…,a_r,g_r).
Exact mathematical passage
a_j=\sum_{g\in G}a_{j,g}
a_{j,g}Use in source · 1 passage
Search aliases: a_j,g
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 582
[Graded packet convolution] If a_j=∑_g∈ Ga_j,g and μ respects the grading, then P_kμ(a_1,…,a_r) = ∑_g_1+⋯+g_r=k μ(a_1,g_1,…,a_r,g_r).
Exact mathematical passage
a_j=\sum_{g\in G}a_{j,g}
A_kUse in source · 1 passage
Search aliases: A_k
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 592
Expand every input into its homogeneous components. Each term lands in the component whose label is the sum of its input labels. Projection onto A_k retains exactly the displayed terms.
Exact mathematical passage
A_k
A_{ki}Use in source · 1 passage
Search aliases: A_ki
Use in source · visual_atlas.tex, line 164
vfig[.98]rectangular_paths platecaptionThe lower board expands one final row into all six choices of intermediate indices for each input packet. The entries are C_0jB_jkA_ki, with k∈{0,1,2} and j∈{0,1}. Zero terms remain visible.
Exact mathematical passage
C_{0j}B_{jk}A_{ki}
a_{n+1}Use in source · 3 passages
Search aliases: a_n+1
Use in source · Read passage · 02_connections_obstructions.tex, line 292
Induct on the path length. Appending a_n+1 left-multiplies the inductive expression by Γ_a_n+1← a_n, and flatness replaces the two factors by Γ_a_n+1← a_0. For a loop, normalization gives Γ_a_0← a_0=id.
Exact mathematical passage
a_{n+1}
a_rUse in source · 1 passage
Search aliases: a_r
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 583
[Graded packet convolution] If a_j=∑_g∈ Ga_j,g and μ respects the grading, then P_kμ(a_1,…,a_r) = ∑_g_1+⋯+g_r=k μ(a_1,g_1,…,a_r,g_r).
Exact mathematical passage
P_k\mu(a_1,\ldots,a_r) = \sum_{g_1+\cdots+g_r=k} \mu(a_{1,g_1},\ldots,a_{r,g_r}).
a_{r,g_r}Use in source · 1 passage
Search aliases: a_r,g_r
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 583
[Graded packet convolution] If a_j=∑_g∈ Ga_j,g and μ respects the grading, then P_kμ(a_1,…,a_r) = ∑_g_1+⋯+g_r=k μ(a_1,g_1,…,a_r,g_r).
Exact mathematical passage
P_k\mu(a_1,\ldots,a_r) = \sum_{g_1+\cdots+g_r=k} \mu(a_{1,g_1},\ldots,a_{r,g_r}).
A_{vu}Use in source · 1 passage
Search aliases: A_vu
Use in source · Read passage · 04_correction_transport.tex, line 712
[Fundamental holonomy intertwining criterion] The following conditions are equivalent. item There is a family of isomorphisms U_v:V_0→ W_0 with the prescribed root value U_r and satisfying U_vA_vu=B_vuU_u for every oriented edge u→ v. item For every fundamental loop γ based at r, U_rHol_A(γ)=Hol_B(γ)U_r. item The same identity holds for every loop based at r. When these conditions hold, the family (U_v) is uniquely determined by U_r.
Exact mathematical passage
U_vA_{vu}=B_{vu}U_u
A_{vu}^{-1}Use in source · 1 passage
Search aliases: A_vu^-1
Use in source · Read passage · 04_correction_transport.tex, line 729
Conversely, choose a spanning tree. Starting from U_r, propagate U_v along the unique tree path by the rule U_v=B_vuU_uA_vu^-1 on every tree edge. This is the only possible extension satisfying the tree edge equations. An edge outside the tree closes one fundamental loop. Its intertwining equation holds exactly when U_r intertwines the two corresponding fundamental holonomies. The second condition therefore supplies every remaining edge equation. Uniqueness follows from propagation along the tre…
Exact mathematical passage
U_v=B_{vu}U_uA_{vu}^{-1}
\Acal_{\Pcal}Use in source · 9 passages
Search aliases: Acal_Pcal A_ P Acal Pcal mathcal mathcal
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 97
Let X be a module over a unital ring. A finite packet system on X is a family P=(P_α)_α∈ I⊆End(X) of nonzero idempotents such that P_α P_β=0 when α≠β, ∑_α∈ IP_α=I_X. Write X_α=P_α X, X^ P=⊕_α∈ IX_α. The analysis and synthesis maps are A_ Px=(P_α x)_α, S_ P(x_α)_α=∑_α x_α. They are inverse isomorphisms.
Exact mathematical passage
\Acal_{\Pcal}x=(P_\alpha x)_\alpha, \qquad \Scal_{\Pcal}(x_\alpha)_\alpha=\sum_\alpha x_\alpha.
\Acal_{\Rcal}Use in source · 1 passage
Search aliases: Acal_Rcal A_ R Acal Rcal mathcal mathcal
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 146
The identities S_ P A_ P=I_X and S_ Q A_ Q=I_Y give S_ QF_ Q← P A_ P = S_ Q A_ QF S_ P A_ P =F. For composition, G_ R← QF_ Q← P = A_ RG S_ Q A_ QF S_ P = A_ R(G∘ F) S_ P.
Exact mathematical passage
G_{\Rcal\leftarrow\Qcal}F_{\Qcal\leftarrow\Pcal} = \Acal_{\Rcal}G\Scal_{\Qcal}\Acal_{\Qcal}F\Scal_{\Pcal} = \Acal_{\Rcal}(G\circ F)\Scal_{\Pcal}.
\Acal_{\Ucal}Use in source · 1 passage
Search aliases: Acal_Ucal A_ U Acal Ucal mathcal mathcal
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 170
[Change of packet coordinates] Let P and P' be packet systems on X. Let Q and Q' be packet systems on Y. For any two packet systems U and V on the same space, write J_ U← V = A_ U S_ V. Then F_ Q'← P' = J_ Q'← Q F_ Q← P J_ P← P'.
Exact mathematical passage
J_{\Ucal\leftarrow\Vcal} = \Acal_{\Ucal}\Scal_{\Vcal}.
b^2Use in source · 1 passage
Search aliases: b^2
Use in source · visual_atlas.tex, line 497
For a unary square, inserting a+b does not give a^2+b^2. The extra 2ab arises because the operation is nonlinear in its single argument. It can be analyzed by representing the square using a binary multiplication node with a repeated input, but that is an additional choice of syntax and semantics.
Exact mathematical passage
a^2+b^2
B_1Use in source · 5 passages
Search aliases: B_1
Use in source · Read passage · 02_connections_obstructions.tex, line 604
The passage from words to walks also applies to products of different matrices. Let V be one finite packet type, let R be a semiring, and let B_1,…,B_m∈ R^V× V be a finite sequence of possibly different packet matrices. Rows are targets and columns are sources as before.
Exact mathematical passage
B_1,\ldots,B_m\in R^{V\times V}
b_1Use in source · 4 passages
Search aliases: b_1
Use in source · Read passage · 04_correction_transport.tex, line 749
be the chosen structure group and fix a root r. Restrict both edge transports and gauge values to G. Gauge equivalence classes of G valued transport systems are naturally identified with Hom(π_1(Γ,r),G)/G, where G acts by conjugation. After a spanning tree and orientations of the remaining edges are chosen, this set is identified with simultaneous conjugacy classes of b_1=|E|-|V|+1 tuples in G.
Exact mathematical passage
b_1=|E|-|V|+1
b_jUse in source · 1 passage
Search aliases: b_j
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 603
[Cyclic product formula] For a cyclically graded algebra A=⊕_j∈ Z/N ZA_j, A_iA_j⊆ A_i+j, one has P_k(ab)= ∑_i+j=ka_ib_j.
Exact mathematical passage
P_k(ab)= \sum_{i+j=k}a_ib_j.
B_{jk}Use in source · 1 passage
Search aliases: B_jk
Use in source · visual_atlas.tex, line 164
vfig[.98]rectangular_paths platecaptionThe lower board expands one final row into all six choices of intermediate indices for each input packet. The entries are C_0jB_jkA_ki, with k∈{0,1,2} and j∈{0,1}. Zero terms remain visible.
Exact mathematical passage
C_{0j}B_{jk}A_{ki}
B_kUse in source · 2 passages
Search aliases: B_k
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 353
di Bruno formula] Let n≥1, let X,Y,Z be Banach spaces over the same real or complex field, and let G:X→ Y and F:Y→ Z be n times continuously Fr echet differentiable. Let P, Q, and R be packet systems on X, Y, and Z. Fix input packets α_1,…,α_n, an output packet δ, and directions h_i∈ X_α_i. Then · J^n_δmidα_1,…,α_n(F∘ G)(x) [h_1,…,h_n] · = ∑_π={B_1,…,B_k} ∑_γ_1,…,γ_k J^k_δmidγ_1,…,γ_kF(Gx) [ G_γ_1,B_1(xmid h),…, G_γ_k,B_k(xmid h) ]. The first sum runs over all set partitions of {1,…,n}.
Exact mathematical passage
\begin{aligned} &J^{n}_{\delta\mid\alpha_1,\ldots,\alpha_n}(F\circ G)(x) [h_1,\ldots,h_n]\\ &= \sum_{\pi=\{B_1,\ldots,B_k\}} \sum_{\gamma_1,\ldots,\gamma_k} J^{k}_{\delta\mid\gamma_1,\ldots,\gamma_k}F(Gx) \big[ G_{\gamma_1,B_1}(x\mid h),\ldots, G_{\gamma_k,B_k}(x\mid h) \big]. \end{aligned}
B_mUse in source · 2 passages
Search aliases: B_m
Use in source · Read passage · 02_connections_obstructions.tex, line 604
The passage from words to walks also applies to products of different matrices. Let V be one finite packet type, let R be a semiring, and let B_1,…,B_m∈ R^V× V be a finite sequence of possibly different packet matrices. Rows are targets and columns are sources as before.
Exact mathematical passage
B_1,\ldots,B_m\in R^{V\times V}
B_rUse in source · 9 passages
Search aliases: B_r
Use in source · Read passage · 02_connections_obstructions.tex, line 621
rices] For i,j∈ V and m≥1, set i_0=i and i_m=j. Then (B_m⋯ B_1)_ji = ∑_(i_1,…,i_m-1)∈ V^m-1 B_m[i_m,i_m-1]⋯ B_1[i_1,i_0]. When m=1, the sum is over the unique empty tuple and its summand is B_1[j,i]. For m=0, the product is the identity and the entry is the Kronecker delta δ_ji. If every B_r[q,p] vanishes outside a declared relation R_r(p,q), then the endpoint entry is zero whenever there is no packet path compatible with the successive relations. statusleanthreeKomorebi.PaperIII.EdgeOperators.h…
Exact mathematical passage
B_r[q,p]
b_rUse in source · 4 passages
Search aliases: b_r
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 432
Let X be a Banach space. Fix s∈ X and continuous multilinear maps B_r:X^r⟶ X, 2≤ r≤ d. Set a= s , b_r= B_r , ϕ(t)=a+∑_r=2^db_rt^r. An ordered rooted tree has leaves labeled by s and every internal vertex of arity r labeled by B_r. Its value is obtained by evaluating from the leaves toward the root.
Exact mathematical passage
a=\|s\|, \qquad b_r=\|B_r\|, \qquad \phi(t)=a+\sum_{r=2}^{d}b_rt^r.
B_{vu}Use in source · 2 passages
Search aliases: B_vu
Use in source · Read passage · 04_correction_transport.tex, line 712
[Fundamental holonomy intertwining criterion] The following conditions are equivalent. item There is a family of isomorphisms U_v:V_0→ W_0 with the prescribed root value U_r and satisfying U_vA_vu=B_vuU_u for every oriented edge u→ v. item For every fundamental loop γ based at r, U_rHol_A(γ)=Hol_B(γ)U_r. item The same identity holds for every loop based at r. When these conditions hold, the family (U_v) is uniquely determined by U_r.
Exact mathematical passage
U_vA_{vu}=B_{vu}U_u
B_\tauUse in source · 4 passages
Search aliases: B_τ tau
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 468
Let T_m be the finite set of ordered rooted trees of height less than m. A leaf has value s. If the root of τ has arity r and ordered subtrees τ_1,…,τ_r, define B_τ(s)=B_r(B_τ_1(s),…,B_τ_r(s)). Induction on m shows that the Picard iterate u_0=0 and u_m+1=Φ(u_m) satisfies u_m=∑_τ∈ T_mB_τ(s). Define a nonnegative scalar weight by assigning weight a to a leaf and applying the scalar map (t_1,…,t_r)↦ b_rt_1⋯ t_r at a vertex of arity r. A second induction gives ∑_τ∈ T_m B_τ(s) ≤ ∑_τ∈ T_mw(τ) =t_m, wh…
Exact mathematical passage
B_\tau(s)=B_r(B_{\tau_1}(s),\ldots,B_{\tau_r}(s)).
B_{\tau_1}Use in source · 1 passage
Search aliases: B_τ_1 tau
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 468
Let T_m be the finite set of ordered rooted trees of height less than m. A leaf has value s. If the root of τ has arity r and ordered subtrees τ_1,…,τ_r, define B_τ(s)=B_r(B_τ_1(s),…,B_τ_r(s)). Induction on m shows that the Picard iterate u_0=0 and u_m+1=Φ(u_m) satisfies u_m=∑_τ∈ T_mB_τ(s). Define a nonnegative scalar weight by assigning weight a to a leaf and applying the scalar map (t_1,…,t_r)↦ b_rt_1⋯ t_r at a vertex of arity r. A second induction gives ∑_τ∈ T_m B_τ(s) ≤ ∑_τ∈ T_mw(τ) =t_m, wh…
Exact mathematical passage
B_\tau(s)=B_r(B_{\tau_1}(s),\ldots,B_{\tau_r}(s)).
B_{\tau_r}Use in source · 1 passage
Search aliases: B_τ_r tau
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 468
Let T_m be the finite set of ordered rooted trees of height less than m. A leaf has value s. If the root of τ has arity r and ordered subtrees τ_1,…,τ_r, define B_τ(s)=B_r(B_τ_1(s),…,B_τ_r(s)). Induction on m shows that the Picard iterate u_0=0 and u_m+1=Φ(u_m) satisfies u_m=∑_τ∈ T_mB_τ(s). Define a nonnegative scalar weight by assigning weight a to a leaf and applying the scalar map (t_1,…,t_r)↦ b_rt_1⋯ t_r at a vertex of arity r. A second induction gives ∑_τ∈ T_m B_τ(s) ≤ ∑_τ∈ T_mw(τ) =t_m, wh…
Exact mathematical passage
B_\tau(s)=B_r(B_{\tau_1}(s),\ldots,B_{\tau_r}(s)).
\bbkUse in source · 12 passages
Search aliases: bbk 𝕜 Bbbk
Use in source · Read passage · 02_connections_obstructions.tex, line 665
[A scalar triangle] Let B={0,1,2} and C_0=C_1=C_2=𝕜 for a field 𝕜. Choose u,v,w∈𝕜^× and set Γ_1←0(x)=ux, Γ_2←1(x)=vx, Γ_2←0(x)=wx, with reverse transports given by inverse scalars. Then Δ_2,1,0(x)=(vu-w)x, and the triangle holonomy based at 0 is H_2,1,0(x)=w^-1vux. Therefore H_2,1,0-id =w^-1Δ_2,1,0. The connection is flat on this triangle exactly when vu=w. If the three coordinate systems are literally the same and canonical transport is used, then u=v=w=1 and the obstruction vanishes. Choosing …
Exact mathematical passage
C_0=C_1=C_2=\bbk
\bbk^2Use in source · 3 passages
Search aliases: bbk^2 𝕜^2 bbk Bbbk
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 194
[A mixed quadratic map] Let X=Y=𝕜^2 with coordinate packets. For F(x_1,x_2)=(x_1x_2,x_1^2+x_2), the first output packet depends on both input packets. The second output packet contains a quadratic contribution from the first input packet and a linear contribution from the second. Packet coordinates record these interactions exactly. Replacing F by the two diagonal restrictions would lose the product x_1x_2.
Exact mathematical passage
X=Y=\bbk^2
\bbk^\timesUse in source · 1 passage
Search aliases: bbk^× 𝕜^× bbk times Bbbk times
Use in source · Read passage · 02_connections_obstructions.tex, line 666
[A scalar triangle] Let B={0,1,2} and C_0=C_1=C_2=𝕜 for a field 𝕜. Choose u,v,w∈𝕜^× and set Γ_1←0(x)=ux, Γ_2←1(x)=vx, Γ_2←0(x)=wx, with reverse transports given by inverse scalars. Then Δ_2,1,0(x)=(vu-w)x, and the triangle holonomy based at 0 is H_2,1,0(x)=w^-1vux. Therefore H_2,1,0-id =w^-1Δ_2,1,0. The connection is flat on this triangle exactly when vu=w. If the three coordinate systems are literally the same and canonical transport is used, then u=v=w=1 and the obstruction vanishes. Choosing …
Exact mathematical passage
u,v,w\in\bbk^\times
\mathbb CUse in source · 1 passage
Search aliases: C mathbb
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 207
Let X and Y be Banach spaces over the same field R or C and let the packet projectors on both spaces be bounded. In the complex case, derivatives are complex Fr echet derivatives and the Taylor integral below has a real parameter. Assume that F:X→ Y is m times continuously Fr echet differentiable. The same local statements hold on open domains containing the points and segments in question. For 1≤ r≤ m, the derivative D^rF(x):X^r⟶ Y is a continuous symmetric multilinear map.
Exact mathematical passage
\mathbb C
C^{-1}Use in source · 3 passages
Search aliases: C^-1
Use in source · visual_atlas.tex, line 515
vfig[.97]worked_holonomy_diagnosis platecaptionThe vector row starts with the source witness e_0 and follows it through A, then B, then C^-1. Returning to the base produces (1,1)^ T, whose displacement from the input is e_1.
Exact mathematical passage
C^{-1}
C^0Use in source · 3 passages
Search aliases: C^0
Use in source · Read passage · 04_correction_transport.tex, line 476
[A fine class killed at the next page] Let C^0=𝕜 x and C^1=𝕜 y, with differential d(x)=y. Give C^0 the filtration F^0C^0=𝕜 x, F^1C^0=0, and give C^1 the filtration F^0C^1=F^1C^1=𝕜 y, F^2C^1=0. The associated graded differential is zero in the relevant positions, so both x and y give nonzero classes on the next page. The next differential sends the class of x to the class of y. The total complex is acyclic. Thus nonzero fine obstruction classes can cancel through a later refinement differential.
Exact mathematical passage
C^0=\bbk x
C^1Use in source · 3 passages
Search aliases: C^1
Use in source · Read passage · 04_correction_transport.tex, line 476
[A fine class killed at the next page] Let C^0=𝕜 x and C^1=𝕜 y, with differential d(x)=y. Give C^0 the filtration F^0C^0=𝕜 x, F^1C^0=0, and give C^1 the filtration F^0C^1=F^1C^1=𝕜 y, F^2C^1=0. The associated graded differential is zero in the relevant positions, so both x and y give nonzero classes on the next page. The next differential sends the class of x to the class of y. The total complex is acyclic. Thus nonzero fine obstruction classes can cancel through a later refinement differential.
Exact mathematical passage
C^1=\bbk y
C^nUse in source · 1 passage
Search aliases: C^n
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 1150
The class of (e,0) vanishes exactly when there are e'∈ E^n-1 and c∈ C^n with (e,0)=d_Cone(e',c). This means e=d_Ee'+Dc, d_Cc=0. Equivalently, [e]=H^n(D)[c]. The degree zero statement follows directly from the definition of the cone differential.
Exact mathematical passage
c\in C^n
C^{p+q}Use in source · 1 passage
Search aliases: C^p+q
Use in source · Read passage · 04_correction_transport.tex, line 435
[Spectral sequence of a finite filtered complex] Let C^bullet be a cochain complex with a finite decreasing filtration by subcomplexes C^bullet=F^0C^bullet⊇ F^1C^bullet⊇⋯⊇ F^N+1C^bullet=0. There is a natural spectral sequence with E_0^p,q=gr^pC^p+q, E_1^p,q=H^p+q(gr^pC^bullet), which converges to the associated graded object of H^p+q(C^bullet) with its induced filtration. A filtered cochain map induces a morphism of spectral sequences.
Exact mathematical passage
E_0^{p,q}=\gr^pC^{p+q}, \qquad E_1^{p,q}=H^{p+q}(\gr^pC^\bullet),
C^rUse in source · 2 passages
Search aliases: C^r
Use in source · Read passage · 04_correction_transport.tex, line 115
[Local Lyapunov Schmidt reduction] Let U⊆ X be an open neighborhood of zero and let F: U→ Y be a C^r map between Banach spaces with r≥1, F(0)=0, and L=DF(0). Assume there are closed decompositions X=K⊕ X_1, Y=R⊕ O, where K=Ker L, R=im L, and L_1=L|_X_1:X_1⟶ R is a Banach space isomorphism. Let π_R and π_O be the two projections on Y. Then there are neighborhoods U_K⊆ K and U_1⊆ X_1 of zero and a unique C^r map ψ:U_K⟶ U_1 with ψ(0)=0 such that π_RF(k+ψ(k))=0 for every k∈ U_K. After the neighborho…
Exact mathematical passage
C^r
c^\leftarrowUse in source · 5 passages
Search aliases: c^← leftarrow
Use in source · Read passage · 01_finite_coordinates.tex, line 249
For a nonempty composable word w=(e_1,…,e_n), define its reverse coefficient product c^←(w)=c(e_n)c(e_n-1)⋯ c(e_1). The reversal is essential over a noncommutative semiring.
Exact mathematical passage
c^\leftarrow(w)=c(e_n)c(e_{n-1})\cdots c(e_1).
C_0Use in source · 1 passage
Search aliases: C_0
Use in source · Read passage · 02_connections_obstructions.tex, line 665
[A scalar triangle] Let B={0,1,2} and C_0=C_1=C_2=𝕜 for a field 𝕜. Choose u,v,w∈𝕜^× and set Γ_1←0(x)=ux, Γ_2←1(x)=vx, Γ_2←0(x)=wx, with reverse transports given by inverse scalars. Then Δ_2,1,0(x)=(vu-w)x, and the triangle holonomy based at 0 is H_2,1,0(x)=w^-1vux. Therefore H_2,1,0-id =w^-1Δ_2,1,0. The connection is flat on this triangle exactly when vu=w. If the three coordinate systems are literally the same and canonical transport is used, then u=v=w=1 and the obstruction vanishes. Choosing …
Exact mathematical passage
C_0=C_1=C_2=\bbk
C_{0,m}Use in source · 1 passage
Search aliases: C_0,m
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 860
y[Several refinement levels] Let C_ℓ:X_ℓ+1→ X_ℓ for 0≤ℓ<m. Suppose x_ℓ is a fixed point at level ℓ, the coarse map at level ℓ has contraction constant q_ℓ<1, and the adjacent defect at x_ℓ+1 is at most ε_ℓ. Write C_a,b=C_aC_a+1⋯ C_b-1 for a<b, C_a,a=I. Then C_0,mx_m-x_0 ≤ ∑_ℓ=0^m-1 C_0,ℓ fracε_ℓ1-q_ℓ.
Exact mathematical passage
\|C_{0,m}x_m-x_0\| \le \sum_{\ell=0}^{m-1} \|C_{0,\ell}\| \frac{\varepsilon_\ell}{1-q_\ell}.
C_{0,\ell}Use in source · 2 passages
Search aliases: C_0,ℓ ell
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 860
y[Several refinement levels] Let C_ℓ:X_ℓ+1→ X_ℓ for 0≤ℓ<m. Suppose x_ℓ is a fixed point at level ℓ, the coarse map at level ℓ has contraction constant q_ℓ<1, and the adjacent defect at x_ℓ+1 is at most ε_ℓ. Write C_a,b=C_aC_a+1⋯ C_b-1 for a<b, C_a,a=I. Then C_0,mx_m-x_0 ≤ ∑_ℓ=0^m-1 C_0,ℓ fracε_ℓ1-q_ℓ.
Exact mathematical passage
\|C_{0,m}x_m-x_0\| \le \sum_{\ell=0}^{m-1} \|C_{0,\ell}\| \frac{\varepsilon_\ell}{1-q_\ell}.
C_{0j}Use in source · 1 passage
Search aliases: C_0j
Use in source · visual_atlas.tex, line 164
vfig[.98]rectangular_paths platecaptionThe lower board expands one final row into all six choices of intermediate indices for each input packet. The entries are C_0jB_jkA_ki, with k∈{0,1,2} and j∈{0,1}. Zero terms remain visible.
Exact mathematical passage
C_{0j}B_{jk}A_{ki}
C_1Use in source · 3 passages
Search aliases: C_1
Use in source · Read passage · 02_connections_obstructions.tex, line 665
[A scalar triangle] Let B={0,1,2} and C_0=C_1=C_2=𝕜 for a field 𝕜. Choose u,v,w∈𝕜^× and set Γ_1←0(x)=ux, Γ_2←1(x)=vx, Γ_2←0(x)=wx, with reverse transports given by inverse scalars. Then Δ_2,1,0(x)=(vu-w)x, and the triangle holonomy based at 0 is H_2,1,0(x)=w^-1vux. Therefore H_2,1,0-id =w^-1Δ_2,1,0. The connection is flat on this triangle exactly when vu=w. If the three coordinate systems are literally the same and canonical transport is used, then u=v=w=1 and the obstruction vanishes. Choosing …
Exact mathematical passage
C_0=C_1=C_2=\bbk
C_2Use in source · 4 passages
Search aliases: C_2
Use in source · Read passage · 02_connections_obstructions.tex, line 665
[A scalar triangle] Let B={0,1,2} and C_0=C_1=C_2=𝕜 for a field 𝕜. Choose u,v,w∈𝕜^× and set Γ_1←0(x)=ux, Γ_2←1(x)=vx, Γ_2←0(x)=wx, with reverse transports given by inverse scalars. Then Δ_2,1,0(x)=(vu-w)x, and the triangle holonomy based at 0 is H_2,1,0(x)=w^-1vux. Therefore H_2,1,0-id =w^-1Δ_2,1,0. The connection is flat on this triangle exactly when vu=w. If the three coordinate systems are literally the same and canonical transport is used, then u=v=w=1 and the obstruction vanishes. Choosing …
Exact mathematical passage
C_0=C_1=C_2=\bbk
C_3Use in source · 1 passage
Search aliases: C_3
Use in source · Read passage · 04_correction_transport.tex, line 982
Taylor's theorem in the Banach space of bounded operators gives P_α(t+h) = P_α(t)+hdot P_α(t)+E_α(t,h), E_α(t,h) ≤ C_1h^2, uniformly in t and α. Hence S( P(t+h), P(t)) = I+hK(t)+E(t,h), E(t,h) ≤ C_2h^2. Since K(t)^*=-K(t), S^*S=I+E_2(t,h), E_2(t,h) ≤ C_3h^2. For small h, the spectrum of S^*S lies in a fixed compact subinterval of (0,∞). The functional calculus for z^-1/2 gives (S^*S)^-1/2=I+E_3(t,h), E_3(t,h) ≤ C_4h^2. Multiplying the last two expansions proves the estimate.
Exact mathematical passage
S^*S=I+E_2(t,h), \qquad \|E_2(t,h)\|\le C_3h^2.
C_4Use in source · 1 passage
Search aliases: C_4
Use in source · Read passage · 04_correction_transport.tex, line 988
P_α(t)+E_α(t,h), E_α(t,h) ≤ C_1h^2, uniformly in t and α. Hence S( P(t+h), P(t)) = I+hK(t)+E(t,h), E(t,h) ≤ C_2h^2. Since K(t)^*=-K(t), S^*S=I+E_2(t,h), E_2(t,h) ≤ C_3h^2. For small h, the spectrum of S^*S lies in a fixed compact subinterval of (0,∞). The functional calculus for z^-1/2 gives (S^*S)^-1/2=I+E_3(t,h), E_3(t,h) ≤ C_4h^2. Multiplying the last two expansions proves the estimate.
Exact mathematical passage
(S^*S)^{-1/2}=I+E_3(t,h), \qquad \|E_3(t,h)\|\le C_4h^2.
C_{a+1}Use in source · 1 passage
Search aliases: C_a+1
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 853
[Several refinement levels] Let C_ℓ:X_ℓ+1→ X_ℓ for 0≤ℓ<m. Suppose x_ℓ is a fixed point at level ℓ, the coarse map at level ℓ has contraction constant q_ℓ<1, and the adjacent defect at x_ℓ+1 is at most ε_ℓ. Write C_a,b=C_aC_a+1⋯ C_b-1 for a<b, C_a,a=I. Then C_0,mx_m-x_0 ≤ ∑_ℓ=0^m-1 C_0,ℓ fracε_ℓ1-q_ℓ.
Exact mathematical passage
C_{a,b}=C_aC_{a+1}\cdots C_{b-1} \quad\text{for }a<b, \qquad C_{a,a}=I.
C_{a,a}Use in source · 1 passage
Search aliases: C_a,a
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 853
[Several refinement levels] Let C_ℓ:X_ℓ+1→ X_ℓ for 0≤ℓ<m. Suppose x_ℓ is a fixed point at level ℓ, the coarse map at level ℓ has contraction constant q_ℓ<1, and the adjacent defect at x_ℓ+1 is at most ε_ℓ. Write C_a,b=C_aC_a+1⋯ C_b-1 for a<b, C_a,a=I. Then C_0,mx_m-x_0 ≤ ∑_ℓ=0^m-1 C_0,ℓ fracε_ℓ1-q_ℓ.
Exact mathematical passage
C_{a,b}=C_aC_{a+1}\cdots C_{b-1} \quad\text{for }a<b, \qquad C_{a,a}=I.
C_{a,b}Use in source · 1 passage
Search aliases: C_a,b
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 853
[Several refinement levels] Let C_ℓ:X_ℓ+1→ X_ℓ for 0≤ℓ<m. Suppose x_ℓ is a fixed point at level ℓ, the coarse map at level ℓ has contraction constant q_ℓ<1, and the adjacent defect at x_ℓ+1 is at most ε_ℓ. Write C_a,b=C_aC_a+1⋯ C_b-1 for a<b, C_a,a=I. Then C_0,mx_m-x_0 ≤ ∑_ℓ=0^m-1 C_0,ℓ fracε_ℓ1-q_ℓ.
Exact mathematical passage
C_{a,b}=C_aC_{a+1}\cdots C_{b-1} \quad\text{for }a<b, \qquad C_{a,a}=I.
C_{b-1}Use in source · 1 passage
Search aliases: C_b-1
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 853
[Several refinement levels] Let C_ℓ:X_ℓ+1→ X_ℓ for 0≤ℓ<m. Suppose x_ℓ is a fixed point at level ℓ, the coarse map at level ℓ has contraction constant q_ℓ<1, and the adjacent defect at x_ℓ+1 is at most ε_ℓ. Write C_a,b=C_aC_a+1⋯ C_b-1 for a<b, C_a,a=I. Then C_0,mx_m-x_0 ≤ ∑_ℓ=0^m-1 C_0,ℓ fracε_ℓ1-q_ℓ.
Exact mathematical passage
C_{a,b}=C_aC_{a+1}\cdots C_{b-1} \quad\text{for }a<b, \qquad C_{a,a}=I.
C_{n-1}Use in source · 1 passage
Search aliases: C_n-1
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 514
Assume now that a>0 and b>0. Take R= frac1-sqrt1-4ab2b. Then a+bR^2=R and 2bR<1. Apply [source reference]. The number of full ordered binary trees with n leaves is the Catalan number C_n-1, which gives the displayed majorant.
Exact mathematical passage
C_{n-1}
C_ZUse in source · 1 passage
Search aliases: C_Z
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 749
[Exact defect under composition] Let G_f:Y_f→ Z_f and G_c:Y_c→ Z_c, with coarsening C_Z:Z_f→ Z_c. Then Δ_G∘ F(x) = Δ_G(F_f(x)) + G_c(F_c(C_Xx)+Δ_F(x)) - G_c(F_c(C_Xx)). If G_c is L Lipschitz on the relevant set, then Δ_G∘ F(x) ≤ Δ_G(F_f(x)) + L Δ_F(x) .
Exact mathematical passage
C_Z:Z_f\to Z_c
C_\alpha^\bulletUse in source · 2 passages
Search aliases: C_α^bullet alpha bullet
Use in source · Read passage · 04_correction_transport.tex, line 459
[Direct packet complexes] Suppose C^bullet=⊕_α∈ IC_α^bullet is a finite direct sum of subcomplexes. Then H^n(C^bullet) ≅ ⊕_α∈ IH^n(C_α^bullet). A total cohomology class vanishes if and only if every packet class vanishes.
Exact mathematical passage
C^\bullet=\bigoplus_{\alpha\in I}C_\alpha^\bullet
C_\ellUse in source · 1 passage
Search aliases: C_ℓ ell
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 852
[Several refinement levels] Let C_ℓ:X_ℓ+1→ X_ℓ for 0≤ℓ<m. Suppose x_ℓ is a fixed point at level ℓ, the coarse map at level ℓ has contraction constant q_ℓ<1, and the adjacent defect at x_ℓ+1 is at most ε_ℓ. Write C_a,b=C_aC_a+1⋯ C_b-1 for a<b, C_a,a=I. Then C_0,mx_m-x_0 ≤ ∑_ℓ=0^m-1 C_0,ℓ fracε_ℓ1-q_ℓ.
Exact mathematical passage
C_\ell:X_{\ell+1}\to X_\ell
\cA^X_aUse in source · 1 passage
Search aliases: cA^X_a A^X_a cA mathcal
Use in source · Read passage · 02_connections_obstructions.tex, line 713
[Exact naturality for arbitrary functions] Let A^X_a:Xxrightarrow∼X_a and A^X_b:Xxrightarrow∼X_b be exact coordinate equivalences for X, with inverses S^X_a and S^X_b. Likewise, let A^Y_r:Yxrightarrow∼Y_r and A^Y_s:Yxrightarrow∼Y_s be exact coordinate equivalences for Y, with inverses S^Y_r and S^Y_s. Let F:X→ Y be any function, with no linearity or differentiability hypothesis. Set J^X_b← a= A^X_b∘ S^X_a, J^Y_s← r= A^Y_s∘ S^Y_r, and define widehat F_r← a = A^Y_r∘ F∘ S^X_a. Then J^Y_s← r∘widehat…
Exact mathematical passage
\cA^X_a:X\xrightarrow{\sim}X_a
\cA^X_bUse in source · 2 passages
Search aliases: cA^X_b A^X_b cA mathcal
Use in source · Read passage · 02_connections_obstructions.tex, line 714
[Exact naturality for arbitrary functions] Let A^X_a:Xxrightarrow∼X_a and A^X_b:Xxrightarrow∼X_b be exact coordinate equivalences for X, with inverses S^X_a and S^X_b. Likewise, let A^Y_r:Yxrightarrow∼Y_r and A^Y_s:Yxrightarrow∼Y_s be exact coordinate equivalences for Y, with inverses S^Y_r and S^Y_s. Let F:X→ Y be any function, with no linearity or differentiability hypothesis. Set J^X_b← a= A^X_b∘ S^X_a, J^Y_s← r= A^Y_s∘ S^Y_r, and define widehat F_r← a = A^Y_r∘ F∘ S^X_a. Then J^Y_s← r∘widehat…
Exact mathematical passage
\cA^X_b:X\xrightarrow{\sim}X_b
\cA^YUse in source · 1 passage
Search aliases: cA^Y A^Y cA mathcal
Use in source · Read passage · 02_connections_obstructions.tex, line 752
Both sides of the naturality equation reduce to A^Y_s∘ F∘ S^X_a using S∘ A=id in X and Y. For composition, the middle S^Y∘ A^Y cancels in the same way.
Exact mathematical passage
\cS^Y\circ\cA^Y
\cA^Y_rUse in source · 3 passages
Search aliases: cA^Y_r A^Y_r cA mathcal
Use in source · Read passage · 01_finite_coordinates.tex, line 511
If F:X→ Y is linear and P^a, P^b are source packet systems while Q^r, Q^s are target packet systems, put widehat F_r← a = A^Y_rF S^X_a.
Exact mathematical passage
\widehat F_{r\leftarrow a} = \cA^Y_rF\cS^X_a.
\cA^Y_sUse in source · 4 passages
Search aliases: cA^Y_s A^Y_s cA mathcal
Use in source · Read passage · 01_finite_coordinates.tex, line 529
Both sides reduce to A^Y_sF S^X_a after inserting the appropriate synthesis--analysis identity. The composition law is the same calculation with the middle ambient module inserted.
Exact mathematical passage
\cA^Y_sF\cS^X_a
\cA^Z_tUse in source · 1 passage
Search aliases: cA^Z_t A^Z_t cA mathcal
Use in source · Read passage · 02_connections_obstructions.tex, line 737
^Y_r and S^Y_s. Let F:X→ Y be any function, with no linearity or differentiability hypothesis. Set J^X_b← a= A^X_b∘ S^X_a, J^Y_s← r= A^Y_s∘ S^Y_r, and define widehat F_r← a = A^Y_r∘ F∘ S^X_a. Then J^Y_s← r∘widehat F_r← a = widehat F_s← b∘ J^X_b← a. If A^Z_t:Zxrightarrow∼Z_t is another exact coordinate equivalence and G:Y→ Z is any function, then exact coordinate representation also preserves composition: widehatG∘ F_t← a = widehat G_t← r∘widehat F_r← a. statusleanthreeKomorebi.PaperIII.Transport…
Exact mathematical passage
\cA^Z_t:Z\xrightarrow{\sim}Z_t
\cA_aUse in source · 3 passages
Search aliases: cA_a A_a cA mathcal
Use in source · Read passage · 01_finite_coordinates.tex, line 450
ordinate transport is a separate construction. Let X be an R-module, and let P^a=(P^a_i)_i∈ I_a be a finite complete family of pairwise orthogonal linear idempotents: P^a_iP^a_j=δ_ijP^a_i, ∑_i∈ I_aP^a_i=I_X. Define the exact packet coordinate module Coord( P^a) = {(x_i)_i∈ I_a:P^a_ix_i=x_i}. Its analysis and synthesis maps are A_a(x)=(P^a_ix)_i, S_a((x_i)_i)=∑_ix_i. Completeness and orthogonality give S_a A_a=id_X, A_a S_a=id_Coord( P^a).
Exact mathematical passage
\cA_a(x)=(P^a_ix)_i, \qquad \cS_a((x_i)_i)=\sum_ix_i.
\cA_cUse in source · 1 passage
Search aliases: cA_c A_c cA mathcal
Use in source · Read passage · 01_finite_coordinates.tex, line 498
Insert S_b A_b=id_X: J^X_c← bJ^X_b← a = A_c S_b A_b S_a = A_c S_a =J^X_c← a. The identity statement is A_a S_a=id. Setting c=a in the cocycle gives J^X_a← bJ^X_b← a=id; interchanging a and b gives the other composition, so the two transports are inverses.
Exact mathematical passage
J^X_{c\leftarrow b}J^X_{b\leftarrow a} =\cA_c\cS_b\cA_b\cS_a =\cA_c\cS_a =J^X_{c\leftarrow a}.
\mathsf{Candidate}Use in source · 2 passages
Search aliases: Candidate mathsf
Use in source · Read passage · 02_connections_obstructions.tex, line 397
Let Candidate, Packet, and Residual be arbitrary types, with a distinguished 0∈Residual, and let r:Candidate⟶ Packet⟶Residual be a residual function.
Exact mathematical passage
\mathsf{Candidate}
\cosUse in source · 3 passages
Search aliases: cos
Use in source · Read passage · 04_correction_transport.tex, line 1051
[htbp] centering includegraphics[width=.96linewidth]rotating_projector_transport.pdf captionA rotating rank one packet and its orthogonal complement. With u(θ)=(cosθ,sinθ) and P(θ)=u(θ)u(θ)^ T, the canonical generator is [P',P]=(0 · -1
Exact mathematical passage
u(\theta)=(\cos\theta,\sin\theta)
\cQUse in source · 1 passage
Search aliases: cQ Q mathcal
Use in source · Read passage · 01_finite_coordinates.tex, line 510
If F:X→ Y is linear and P^a, P^b are source packet systems while Q^r, Q^s are target packet systems, put widehat F_r← a = A^Y_rF S^X_a.
Exact mathematical passage
\cQ^r,\cQ^s
\cQ^rUse in source · 1 passage
Search aliases: cQ^r Q^r cQ mathcal
Use in source · Read passage · 01_finite_coordinates.tex, line 510
If F:X→ Y is linear and P^a, P^b are source packet systems while Q^r, Q^s are target packet systems, put widehat F_r← a = A^Y_rF S^X_a.
Exact mathematical passage
\cQ^r,\cQ^s
\cQ^sUse in source · 1 passage
Search aliases: cQ^s Q^s cQ mathcal
Use in source · Read passage · 01_finite_coordinates.tex, line 510
If F:X→ Y is linear and P^a, P^b are source packet systems while Q^r, Q^s are target packet systems, put widehat F_r← a = A^Y_rF S^X_a.
Exact mathematical passage
\cQ^r,\cQ^s
\cS^X_aUse in source · 6 passages
Search aliases: cS^X_a S^X_a cS mathcal
Use in source · Read passage · 01_finite_coordinates.tex, line 511
If F:X→ Y is linear and P^a, P^b are source packet systems while Q^r, Q^s are target packet systems, put widehat F_r← a = A^Y_rF S^X_a.
Exact mathematical passage
\widehat F_{r\leftarrow a} = \cA^Y_rF\cS^X_a.
\cS^X_bUse in source · 1 passage
Search aliases: cS^X_b S^X_b cS mathcal
Use in source · Read passage · 02_connections_obstructions.tex, line 715
[Exact naturality for arbitrary functions] Let A^X_a:Xxrightarrow∼X_a and A^X_b:Xxrightarrow∼X_b be exact coordinate equivalences for X, with inverses S^X_a and S^X_b. Likewise, let A^Y_r:Yxrightarrow∼Y_r and A^Y_s:Yxrightarrow∼Y_s be exact coordinate equivalences for Y, with inverses S^Y_r and S^Y_s. Let F:X→ Y be any function, with no linearity or differentiability hypothesis. Set J^X_b← a= A^X_b∘ S^X_a, J^Y_s← r= A^Y_s∘ S^Y_r, and define widehat F_r← a = A^Y_r∘ F∘ S^X_a. Then J^Y_s← r∘widehat…
Exact mathematical passage
\cS^X_b
\cS^YUse in source · 1 passage
Search aliases: cS^Y S^Y cS mathcal
Use in source · Read passage · 02_connections_obstructions.tex, line 752
Both sides of the naturality equation reduce to A^Y_s∘ F∘ S^X_a using S∘ A=id in X and Y. For composition, the middle S^Y∘ A^Y cancels in the same way.
Exact mathematical passage
\cS^Y\circ\cA^Y
\cS^Y_rUse in source · 2 passages
Search aliases: cS^Y_r S^Y_r cS mathcal
Use in source · Read passage · 02_connections_obstructions.tex, line 718
[Exact naturality for arbitrary functions] Let A^X_a:Xxrightarrow∼X_a and A^X_b:Xxrightarrow∼X_b be exact coordinate equivalences for X, with inverses S^X_a and S^X_b. Likewise, let A^Y_r:Yxrightarrow∼Y_r and A^Y_s:Yxrightarrow∼Y_s be exact coordinate equivalences for Y, with inverses S^Y_r and S^Y_s. Let F:X→ Y be any function, with no linearity or differentiability hypothesis. Set J^X_b← a= A^X_b∘ S^X_a, J^Y_s← r= A^Y_s∘ S^Y_r, and define widehat F_r← a = A^Y_r∘ F∘ S^X_a. Then J^Y_s← r∘widehat…
Exact mathematical passage
\cS^Y_r
\cS^Y_sUse in source · 1 passage
Search aliases: cS^Y_s S^Y_s cS mathcal
Use in source · Read passage · 02_connections_obstructions.tex, line 718
beginproposition[Exact naturality for arbitrary functions] Let A^X_a:Xxrightarrow∼X_a and A^X_b:Xxrightarrow∼X_b be exact coordinate equivalences for X, with inverses S^X_a and S^X_b. Likewise, let A^Y_r:Yxrightarrow∼Y_r and A^Y_s:Yxrightarrow∼Y_s be exact coordinate equivalences for Y, with inverses S^Y_r and S^Y_s. Let F:X→ Y be any function, with no linearity or differentiability hypothesis. Set J^X_b← a= A^X_b∘ S^X_a, J^Y_s← r= A^Y_s∘ S^Y_r, and define widehat F_r← a = A^Y_r∘ F∘ S^X_a. Then …
Exact mathematical passage
\cS^Y_s
\cS_bUse in source · 2 passages
Search aliases: cS_b S_b cS mathcal
Use in source · Read passage · 01_finite_coordinates.tex, line 497
Insert S_b A_b=id_X: J^X_c← bJ^X_b← a = A_c S_b A_b S_a = A_c S_a =J^X_c← a. The identity statement is A_a S_a=id. Setting c=a in the cocycle gives J^X_a← bJ^X_b← a=id; interchanging a and b gives the other composition, so the two transports are inverses.
Exact mathematical passage
\cS_b\cA_b=\id_X
\mathfrak DUse in source · 1 passage
Search aliases: D mathfrak
Use in source · Read passage · 02_connections_obstructions.tex, line 889
For coordinate models of the source and target colors, an additive target coordinate space, and a chosen noncanonical connection, a pointwise node defect can be defined by D^Γ_b,a(Φ) = Γ^Y_b← a∘widehatΦ_a - widehatΦ_b∘ (∏_qΓ^X_q_b← a). This expression compares two chosen routes. With canonical exact transport in every slot it vanishes by [source reference].
Exact mathematical passage
\mathfrak D^\Gamma_{b,a}(\Phi) = \Gamma^Y_{b\leftarrow a}\circ\widehat\Phi_a - \widehat\Phi_b\circ \left(\prod_q\Gamma^{X_q}_{b\leftarrow a}\right).
D'Use in source · 5 passages
Search aliases: D'
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 953
[Naturality of obstruction classes] Suppose ccc U · xrightarrowD · V mathllapadownarrow · · downarrowmathrlapb U' · xrightarrowD' · V' is a commuting square. Then there is a unique induced map overline b:coker D⟶coker D' satisfying overline b Ob_D(r)=Ob_D'(br).
Exact mathematical passage
\begin{array}{ccc} U & \xrightarrow{D} & V\\ \mathllap{a}\downarrow & & \downarrow\mathrlap{b}\\ U' & \xrightarrow{D'} & V' \end{array}
D^*Use in source · 3 passages
Search aliases: D^*
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 26
A linear correction map D:U⟶ V places the obstruction to solving Du=-r in the canonical quotient coker D. This quotient has a universal property and behaves naturally under commuting squares. Mapping cones extend the same construction to cochain complexes. In a Hilbert space with closed range, the quotient is represented by the orthogonal projection onto Ker D^*. The Moore Penrose inverse then gives the least norm correction. Relevant background appears in [source reference].
Exact mathematical passage
\Ker D^*
D^{-1}Use in source · 5 passages
Search aliases: D^-1
Use in source · Read passage · 04_correction_transport.tex, line 623
C · D , where D is invertible. Eliminating the hidden variable replaces the retained derivative A by A-BD^-1C. The feedback term is exact. Keeping only A would ignore the path from retained variables into the hidden variable and back.
Exact mathematical passage
A-BD^{-1}C.
D^2Use in source · 6 passages
Search aliases: D^2
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 401
[The second order composition law] At order two, the partition formula has two shapes. For packet directions h_1 and h_2, R_δ D^2(F∘ G)(x)[h_1,h_2] = · ∑_γ_1,γ_2 J^2_δmidγ_1,γ_2F(Gx) [J^1_γ_1midα_1G(x)h_1,J^1_γ_2midα_2G(x)h_2] · + ∑_γ J^1_δmidγF(Gx) [J^2_γmidα_1,α_2G(x)[h_1,h_2]]. The first line records two first order changes entering a quadratic interaction of F. The second records a genuine second order interaction created inside G before F is applied.
Exact mathematical passage
\begin{aligned} R_\delta D^2(F\circ G)(x)[h_1,h_2] ={}& \sum_{\gamma_1,\gamma_2} J^2_{\delta\mid\gamma_1,\gamma_2}F(Gx) [J^1_{\gamma_1\mid\alpha_1}G(x)h_1,J^1_{\gamma_2\mid\alpha_2}G(x)h_2]\\ &+ \sum_\gamma J^1_{\delta\mid\gamma}F(Gx) [J^2_{\gamma\mid\alpha_1,\alpha_2}G(x)[h_1,h_2]]. \end{aligned}
D^{m+1}Use in source · 2 passages
Search aliases: D^m+1
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 300
· +Q_γ R_m+1(x,h), where the Bochner integral remainder is R_m+1(x,h) = frac1m! ∫_0^1(1-t)^m D^m+1F(x+th)[h,…,h] dt.
Exact mathematical passage
R_{m+1}(x,h) = \frac1{m!} \int_0^1(1-t)^m D^{m+1}F(x+th)[h,\ldots,h]\,dt.
D^\timesUse in source · 3 passages
Search aliases: D^× times
Use in source · Read passage · 02_connections_obstructions.tex, line 61
Flatness replaces the two-edge route in D^× by the direct route, which cancels its inverse. For H, flatness first collapses a→ b→ c to a→ c, then collapses a→ c→ a to the normalized transport a→ a.
Exact mathematical passage
D^\times
D^\times_{c,b,a}Use in source · 3 passages
Search aliases: D^×_c,b,a times
Use in source · Read passage · 02_connections_obstructions.tex, line 33
At a triple (a,b,c), the compiled cocycle predicate is Γ_c← bΓ_b← a =Γ_c← a. Flatness means this equality holds for every triple. The formal multiplicative relative defect and triangle holonomy are D^×_c,b,a = (Γ_c← bΓ_b← a) Γ_c← a^-1, H_c,b,a = Γ_a← c Γ_c← b Γ_b← a. The defect is based at the target c. The holonomy is based at a. statusleanthreeKomorebi.PaperIII.Transport.Connection.CocycleAt; Komorebi.PaperIII.Transport.Connection.Flat; Komorebi.PaperIII.Transport.Connection.cocycleDefect; Kom…
Exact mathematical passage
D^\times_{c,b,a} = \bigl(\Gamma_{c\leftarrow b}\Gamma_{b\leftarrow a}\bigr) \Gamma_{c\leftarrow a}^{-1}, \qquad H_{c,b,a} = \Gamma_{a\leftarrow c} \Gamma_{c\leftarrow b} \Gamma_{b\leftarrow a}.
\mathfrak D^\Gamma_{b,a}Use in source · 1 passage
Search aliases: D^Γ_b,a mathfrak Gamma
Use in source · Read passage · 02_connections_obstructions.tex, line 889
For coordinate models of the source and target colors, an additive target coordinate space, and a chosen noncanonical connection, a pointwise node defect can be defined by D^Γ_b,a(Φ) = Γ^Y_b← a∘widehatΦ_a - widehatΦ_b∘ (∏_qΓ^X_q_b← a). This expression compares two chosen routes. With canonical exact transport in every slot it vanishes by [source reference].
Exact mathematical passage
\mathfrak D^\Gamma_{b,a}(\Phi) = \Gamma^Y_{b\leftarrow a}\circ\widehat\Phi_a - \widehat\Phi_b\circ \left(\prod_q\Gamma^{X_q}_{b\leftarrow a}\right).
D^\daggerUse in source · 5 passages
Search aliases: D^† dagger
Use in source · Read passage · 04_correction_transport.tex, line 6
[Orthogonal obstruction projector] Let D:H_1→ H_2 be a bounded operator between Hilbert spaces with closed range. Let D^† be its Moore Penrose inverse. Then P_ob=I_H_2-DD^† is the orthogonal projector onto (im D)^⊥=Ker D^*. For r∈ H_2, the following are equivalent: item Du=-r is solvable item [r]=0 in coker D item P_obr=0. When these conditions hold, -D^† r is the least norm correction. For every r, dist(r,im D)= P_obr .
Exact mathematical passage
D^\dagger
D_0Use in source · 12 passages
Search aliases: D_0
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 1044
[Relative obstruction exact sequence] Suppose the following diagram of modules commutes and has exact rows: ccccccccc 0 · ⟶ · U_0 · xrightarrowi_U · U_f · xrightarrowp_U · U_c · ⟶ · 0 [4pt] · · mathllapD_0downarrow · · mathllapD_fdownarrow · · mathllapD_cdownarrow · · [4pt] 0 · ⟶ · V_0 · xrightarrowi_V · V_f · xrightarrowp_V · V_c · ⟶ · 0. There is a natural exact sequence 0 · ⟶Ker D_0 ⟶Ker D_f ⟶Ker D_c xrightarrowδcoker D_0
Exact mathematical passage
\begin{array}{ccccccccc} 0&\longrightarrow&U_0&\xrightarrow{i_U}&U_f&\xrightarrow{p_U}&U_c&\longrightarrow&0\\[4pt] &&\mathllap{D_0}\downarrow&&\mathllap{D_f}\downarrow&&\mathllap{D_c}\downarrow&&\\[4pt] 0&\longrightarrow&V_0&\xrightarrow{i_V}&V_f&\xrightarrow{p_V}&V_c&\longrightarrow&0. \end{array}
D_cUse in source · 11 passages
Search aliases: D_c
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 1044
[Relative obstruction exact sequence] Suppose the following diagram of modules commutes and has exact rows: ccccccccc 0 · ⟶ · U_0 · xrightarrowi_U · U_f · xrightarrowp_U · U_c · ⟶ · 0 [4pt] · · mathllapD_0downarrow · · mathllapD_fdownarrow · · mathllapD_cdownarrow · · [4pt] 0 · ⟶ · V_0 · xrightarrowi_V · V_f · xrightarrowp_V · V_c · ⟶ · 0. There is a natural exact sequence 0 · ⟶Ker D_0 ⟶Ker D_f ⟶Ker D_c xrightarrowδcoker D_0
Exact mathematical passage
\begin{array}{ccccccccc} 0&\longrightarrow&U_0&\xrightarrow{i_U}&U_f&\xrightarrow{p_U}&U_c&\longrightarrow&0\\[4pt] &&\mathllap{D_0}\downarrow&&\mathllap{D_f}\downarrow&&\mathllap{D_c}\downarrow&&\\[4pt] 0&\longrightarrow&V_0&\xrightarrow{i_V}&V_f&\xrightarrow{p_V}&V_c&\longrightarrow&0. \end{array}
D_fUse in source · 20 passages
Search aliases: D_f
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 1044
[Relative obstruction exact sequence] Suppose the following diagram of modules commutes and has exact rows: ccccccccc 0 · ⟶ · U_0 · xrightarrowi_U · U_f · xrightarrowp_U · U_c · ⟶ · 0 [4pt] · · mathllapD_0downarrow · · mathllapD_fdownarrow · · mathllapD_cdownarrow · · [4pt] 0 · ⟶ · V_0 · xrightarrowi_V · V_f · xrightarrowp_V · V_c · ⟶ · 0. There is a natural exact sequence 0 · ⟶Ker D_0 ⟶Ker D_f ⟶Ker D_c xrightarrowδcoker D_0
Exact mathematical passage
\begin{array}{ccccccccc} 0&\longrightarrow&U_0&\xrightarrow{i_U}&U_f&\xrightarrow{p_U}&U_c&\longrightarrow&0\\[4pt] &&\mathllap{D_0}\downarrow&&\mathllap{D_f}\downarrow&&\mathllap{D_c}\downarrow&&\\[4pt] 0&\longrightarrow&V_0&\xrightarrow{i_V}&V_f&\xrightarrow{p_V}&V_c&\longrightarrow&0. \end{array}
D_uUse in source · 4 passages
Search aliases: D_u
Use in source · Read passage · 04_correction_transport.tex, line 540
[Nonlinear Schur derivative] At (u_0,v_0), DR = D_uF_P - D_vF_P A^-1D_uF_Q.
Exact mathematical passage
DR = D_uF_P - D_vF_P A^{-1}D_uF_Q.
D_vUse in source · 4 passages
Search aliases: D_v
Use in source · Read passage · 04_correction_transport.tex, line 508
F_Q(u,v) . Assume F takes values in Y_P× Y_Q, is twice continuously Fr echet differentiable near (u_0,v_0), satisfies F_Q(u_0,v_0)=0, and A=D_vF_Q(u_0,v_0) is a Banach space isomorphism from V to Y_Q. The implicit function theorem gives a local map v=φ(u), with φ(u_0)=v_0, satisfying F_Q(u,φ(u))=0. Define the reduced equation R(u)=F_P(u,φ(u)).
Exact mathematical passage
A=D_vF_Q(u_0,v_0)
D_\alphaUse in source · 4 passages
Search aliases: D_α alpha
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 982
[Packet decomposition of an obstruction] Suppose U=⊕_α∈ IU_α, V=⊕_α∈ IV_α, and D(U_α)⊆ V_α for every α. Let D_α:U_α⟶ V_α be the restriction. Then coker D ≅ ⊕_α∈ Icoker D_α. Under this isomorphism, the obstruction class of r=∑_α r_α is the tuple ([r_α])_α. Hence r is correctable if and only if every packet obstruction vanishes.
Exact mathematical passage
D_\alpha:U_\alpha\longrightarrow V_\alpha
d_\etaUse in source · 2 passages
Search aliases: d_η eta
Use in source · Read passage · 04_correction_transport.tex, line 396
Let L be a complete filtered differential graded Lie algebra over a ring in which two is invertible. Assume dF^i L⊆ F^i L, [F^i L,F^j L]⊆ F^i+j L. For a degree one element η, put Ω(η)=dη+frac12[η,η]. Suppose Ω(η)∈ F^m L^2 with m≥1. For every h∈ F^m L^1, Ω(η+h) ≡ Ω(η)+d_η h pmodF^m+1 L^2, d_η=d+[η,mathord·]. The obstruction to improving η by one depth is therefore the class of Ω(η) in the cokernel of gr^m(d_η): gr^m L^1 ⟶ gr^m L^2.
Exact mathematical passage
\Omega(\eta+h) \equiv \Omega(\eta)+d_\eta h \pmod{F^{m+1}\Lcal^2}, \qquad d_\eta=d+[\eta,\mathord\cdot].
\detUse in source · 2 passages
Search aliases: det
Use in source · visual_atlas.tex, line 279
The usual scalar invariants can be misleading: trH=2, det H=1, χ_H(t)=(t-1)^2. These are also the invariants of the 2×2 identity matrix. Nevertheless, Ob=H-I=mat0 · 1
Exact mathematical passage
\operatorname{tr}H=2,\qquad \det H=1,\qquad \chi_H(t)=(t-1)^2.
\operatorname{diag}Use in source · 2 passages
Search aliases: diag operatorname
Use in source · visual_atlas.tex, line 296
vpage14Gauge changes the picture, not flatnessMODEL E / CONJUGATION AND ITS LIMITSTraditional paper: Theorem 6.2 (p. 14) At the base chart, change coordinates by D=diag(2,1). Transform every connection edge by the prescribed endpoint gauges. The loop transforms by conjugation, giving H^D=DHD^-1=mat1 · 2
Exact mathematical passage
D=\operatorname{diag}(2,1)
\distUse in source · 1 passage
Search aliases: dist operatorname
Use in source · Read passage · 04_correction_transport.tex, line 21
agger be its Moore Penrose inverse. Then P_ob=I_H_2-DD^† is the orthogonal projector onto (im D)^⊥=Ker D^*. For r∈ H_2, the following are equivalent: item Du=-r is solvable item [r]=0 in coker D item P_obr=0. When these conditions hold, -D^† r is the least norm correction. For every r, dist(r,im D)= P_obr .
Exact mathematical passage
\dist(r,\im D)=\|P_{\mathrm{ob}}r\|.
\dot PUse in source · 11 passages
Search aliases: dot P dot
Use in source · Read passage · 04_correction_transport.tex, line 801
Zero projections are permitted in this section and contribute zero to all generator sums. When T=0, every partition product is the empty product I. Completeness and orthogonality give P_α(t)P_β(t)=0 for α≠β, ∑_α P_α(t)=I. Define the canonical generator K(t)=∑_α dot P_α(t)P_α(t).
Exact mathematical passage
K(t)=\sum_\alpha \dot P_\alpha(t)P_\alpha(t).
\dot P_\alphaUse in source · 6 passages
Search aliases: dot P_α dot alpha
Use in source · Read passage · 04_correction_transport.tex, line 801
Zero projections are permitted in this section and contribute zero to all generator sums. When T=0, every partition product is the empty product I. Completeness and orthogonality give P_α(t)P_β(t)=0 for α≠β, ∑_α P_α(t)=I. Define the canonical generator K(t)=∑_α dot P_α(t)P_α(t).
Exact mathematical passage
K(t)=\sum_\alpha \dot P_\alpha(t)P_\alpha(t).
\dot P_\betaUse in source · 5 passages
Search aliases: dot P_β dot beta
Use in source · Read passage · 04_correction_transport.tex, line 810
begingroup setlengthabovedisplayskip6pt plus 2pt minus 2pt setlengthbelowdisplayskip6pt plus 2pt minus 2pt [Complete packet commutator identity] For every packet label β, dot P_β(t)=[K(t),P_β(t)]. The generator is also skew adjoint: K(t)^*=-K(t).
Exact mathematical passage
\dot P_\beta(t)=[K(t),P_\beta(t)].
\dot UUse in source · 1 passage
Search aliases: dot U dot
Use in source · Read passage · 04_correction_transport.tex, line 850
[Canonical packet transport] Let U(t) solve dot U(t)=K(t)U(t), U(0)=I. Then U(t) is unitary and transports every packet exactly: P_α(t)U(t)=U(t)P_α(0) for all α.
Exact mathematical passage
\dot U(t)=K(t)U(t), \qquad U(0)=I.
\dot VUse in source · 1 passage
Search aliases: dot V dot
Use in source · Read passage · 04_correction_transport.tex, line 863
The continuous bounded generator has an evolution inverse. Indeed, solve dot V=-VK with V(0)=I. Differentiation gives (VU)^prime=0, hence VU=I. The product W=UV satisfies dot W=KW-WK and W(0)=I; uniqueness of this bounded linear equation gives UV=I. Thus U is invertible.
Exact mathematical passage
\dot V=-VK
\dot WUse in source · 1 passage
Search aliases: dot W dot
Use in source · Read passage · 04_correction_transport.tex, line 863
The continuous bounded generator has an evolution inverse. Indeed, solve dot V=-VK with V(0)=I. Differentiation gives (VU)^prime=0, hence VU=I. The product W=UV satisfies dot W=KW-WK and W(0)=I; uniqueness of this bounded linear equation gives UV=I. Thus U is invertible.
Exact mathematical passage
\dot W=KW-WK
\downarrowUse in source · 2 passages
Search aliases: downarrow
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 953
[Naturality of obstruction classes] Suppose ccc U · xrightarrowD · V mathllapadownarrow · · downarrowmathrlapb U' · xrightarrowD' · V' is a commuting square. Then there is a unique induced map overline b:coker D⟶coker D' satisfying overline b Ob_D(r)=Ob_D'(br).
Exact mathematical passage
\begin{array}{ccc} U & \xrightarrow{D} & V\\ \mathllap{a}\downarrow & & \downarrow\mathrlap{b}\\ U' & \xrightarrow{D'} & V' \end{array}
e'Use in source · 3 passages
Search aliases: e'
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 1150
The class of (e,0) vanishes exactly when there are e'∈ E^n-1 and c∈ C^n with (e,0)=d_Cone(e',c). This means e=d_Ee'+Dc, d_Cc=0. Equivalently, [e]=H^n(D)[c]. The degree zero statement follows directly from the definition of the cone differential.
Exact mathematical passage
e'\in E^{n-1}
E^{n-1}Use in source · 1 passage
Search aliases: E^n-1
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 1150
The class of (e,0) vanishes exactly when there are e'∈ E^n-1 and c∈ C^n with (e,0)=d_Cone(e',c). This means e=d_Ee'+Dc, d_Cc=0. Equivalently, [e]=H^n(D)[c]. The degree zero statement follows directly from the definition of the cone differential.
Exact mathematical passage
e'\in E^{n-1}
e_0Use in source · 14 passages
Search aliases: e_0
Use in source · visual_atlas.tex, line 136
vpage7Reachability is only an upper boundMODEL A / AN ORBIT THAT STAYS IN TWO DIMENSIONSTraditional paper: Corollary 3.11 (p. 6) Keep the diamond and add an isolated packet 4. Start with the single seed e_0∈QQ^5. Direct multiplication gives Te_0=e_1+e_2, T^2e_0=0. Every later orbit vector is zero. The orbit hull generated by T is therefore exactly the span of the first two displayed columns.
Exact mathematical passage
e_0\in\QQ^5
E_{01}Use in source · 6 passages
Search aliases: E_01
Use in source · visual_atlas.tex, line 352
vpage16Resolve the entire obstructionMODEL F / PACKET BLOCKS FROM INPUT TO OUTPUTTraditional paper: Theorem 7.5 (p. 17), Corollary 7.6 (p. 18) Use three coordinate packets with projectors P_0,P_1,P_2, and set H=I+2E_01+3E_12, Ob=H-I. Here H is invertible, so it can be the loop product of a reversible connection on three charts. Its entries outside the diagonal encode two effects that mix packets.
Exact mathematical passage
H=I+2E_{01}+3E_{12},\qquad \Ob=H-I.
E_0^{p,q}Use in source · 1 passage
Search aliases: E_0^p,q
Use in source · Read passage · 04_correction_transport.tex, line 435
[Spectral sequence of a finite filtered complex] Let C^bullet be a cochain complex with a finite decreasing filtration by subcomplexes C^bullet=F^0C^bullet⊇ F^1C^bullet⊇⋯⊇ F^N+1C^bullet=0. There is a natural spectral sequence with E_0^p,q=gr^pC^p+q, E_1^p,q=H^p+q(gr^pC^bullet), which converges to the associated graded object of H^p+q(C^bullet) with its induced filtration. A filtered cochain map induces a morphism of spectral sequences.
Exact mathematical passage
E_0^{p,q}=\gr^pC^{p+q}, \qquad E_1^{p,q}=H^{p+q}(\gr^pC^\bullet),
E_{10}Use in source · 1 passage
Search aliases: E_10
Use in source · visual_atlas.tex, line 46
vpage3Read the product in execution orderMODEL A / ONE EDGE IS ONE MATRIX ENTRYTraditional paper: Lemma 2.2 (p. 2), Theorem 2.3 (p. 2), Theorem 2.4 (p. 3) Work over ZZ with packets 0,1,2. Let e:0→1 have coefficient 2, and let f:1→2 have coefficient 3. The elementary operators are L_e=2E_10, L_f=3E_21. The location of the nonzero entry records the type of the transfer, not an arbitrary matrix convention.
Exact mathematical passage
L_e=2E_{10},\qquad L_f=3E_{21}.
E_{12}Use in source · 2 passages
Search aliases: E_12
Use in source · visual_atlas.tex, line 352
vpage16Resolve the entire obstructionMODEL F / PACKET BLOCKS FROM INPUT TO OUTPUTTraditional paper: Theorem 7.5 (p. 17), Corollary 7.6 (p. 18) Use three coordinate packets with projectors P_0,P_1,P_2, and set H=I+2E_01+3E_12, Ob=H-I. Here H is invertible, so it can be the loop product of a reversible connection on three charts. Its entries outside the diagonal encode two effects that mix packets.
Exact mathematical passage
H=I+2E_{01}+3E_{12},\qquad \Ob=H-I.
E_1^{p,n-p}Use in source · 2 passages
Search aliases: E_1^p,n-p
Use in source · Read passage · 04_correction_transport.tex, line 450
[Fine obstruction survival] A class on the first page contributes to the total obstruction only if it is represented by a permanent cycle, so it is neither killed nor identified as a boundary on any later page. If the spectral sequence degenerates at the first page, then H^n(C^bullet)=0 exactly when E_1^p,n-p=0 for every p.
Exact mathematical passage
E_1^{p,n-p}=0
E_1^{p,q}Use in source · 1 passage
Search aliases: E_1^p,q
Use in source · Read passage · 04_correction_transport.tex, line 435
[Spectral sequence of a finite filtered complex] Let C^bullet be a cochain complex with a finite decreasing filtration by subcomplexes C^bullet=F^0C^bullet⊇ F^1C^bullet⊇⋯⊇ F^N+1C^bullet=0. There is a natural spectral sequence with E_0^p,q=gr^pC^p+q, E_1^p,q=H^p+q(gr^pC^bullet), which converges to the associated graded object of H^p+q(C^bullet) with its induced filtration. A filtered cochain map induces a morphism of spectral sequences.
Exact mathematical passage
E_0^{p,q}=\gr^pC^{p+q}, \qquad E_1^{p,q}=H^{p+q}(\gr^pC^\bullet),
E_2Use in source · 1 passage
Search aliases: E_2
Use in source · Read passage · 04_correction_transport.tex, line 982
Taylor's theorem in the Banach space of bounded operators gives P_α(t+h) = P_α(t)+hdot P_α(t)+E_α(t,h), E_α(t,h) ≤ C_1h^2, uniformly in t and α. Hence S( P(t+h), P(t)) = I+hK(t)+E(t,h), E(t,h) ≤ C_2h^2. Since K(t)^*=-K(t), S^*S=I+E_2(t,h), E_2(t,h) ≤ C_3h^2. For small h, the spectrum of S^*S lies in a fixed compact subinterval of (0,∞). The functional calculus for z^-1/2 gives (S^*S)^-1/2=I+E_3(t,h), E_3(t,h) ≤ C_4h^2. Multiplying the last two expansions proves the estimate.
Exact mathematical passage
S^*S=I+E_2(t,h), \qquad \|E_2(t,h)\|\le C_3h^2.
e_2Use in source · 2 passages
Search aliases: e_2
Use in source · visual_atlas.tex, line 137
vpage7Reachability is only an upper boundMODEL A / AN ORBIT THAT STAYS IN TWO DIMENSIONSTraditional paper: Corollary 3.11 (p. 6) Keep the diamond and add an isolated packet 4. Start with the single seed e_0∈QQ^5. Direct multiplication gives Te_0=e_1+e_2, T^2e_0=0. Every later orbit vector is zero. The orbit hull generated by T is therefore exactly the span of the first two displayed columns.
Exact mathematical passage
Te_0=e_1+e_2,\qquad T^2e_0=0.
E_{20}Use in source · 1 passage
Search aliases: E_20
Use in source · visual_atlas.tex, line 55
On a vector (x_0,x_1,x_2)^ T, the first step produces (0,2x_0,0)^ T, and the second produces (0,0,6x_0)^ T. Thus L_fL_e=6E_20, L_eL_f=0. For general edges, a summand in the entrywise product can survive only when the same intermediate packet is both tgt(e) and src(f): (L_fL_e)_yx=∑_z(L_f)_yz(L_e)_zx. This is why a broken interface annihilates the entire product, even if both edge coefficients are nonzero.
Exact mathematical passage
L_fL_e=6E_{20},\qquad L_eL_f=0.
E_{21}Use in source · 1 passage
Search aliases: E_21
Use in source · visual_atlas.tex, line 46
vpage3Read the product in execution orderMODEL A / ONE EDGE IS ONE MATRIX ENTRYTraditional paper: Lemma 2.2 (p. 2), Theorem 2.3 (p. 2), Theorem 2.4 (p. 3) Work over ZZ with packets 0,1,2. Let e:0→1 have coefficient 2, and let f:1→2 have coefficient 3. The elementary operators are L_e=2E_10, L_f=3E_21. The location of the nonzero entry records the type of the transfer, not an arbitrary matrix convention.
Exact mathematical passage
L_e=2E_{10},\qquad L_f=3E_{21}.
E_3Use in source · 1 passage
Search aliases: E_3
Use in source · Read passage · 04_correction_transport.tex, line 988
P_α(t)+E_α(t,h), E_α(t,h) ≤ C_1h^2, uniformly in t and α. Hence S( P(t+h), P(t)) = I+hK(t)+E(t,h), E(t,h) ≤ C_2h^2. Since K(t)^*=-K(t), S^*S=I+E_2(t,h), E_2(t,h) ≤ C_3h^2. For small h, the spectrum of S^*S lies in a fixed compact subinterval of (0,∞). The functional calculus for z^-1/2 gives (S^*S)^-1/2=I+E_3(t,h), E_3(t,h) ≤ C_4h^2. Multiplying the last two expansions proves the estimate.
Exact mathematical passage
(S^*S)^{-1/2}=I+E_3(t,h), \qquad \|E_3(t,h)\|\le C_4h^2.
e_3Use in source · 3 passages
Search aliases: e_3
Use in source · visual_atlas.tex, line 152
headThe admissible operator grammar matters Allowing each individual edge operator is a different generation problem. For instance, applying the edge 0→1 and then 1→3 individually produces e_3. It does not follow that e_3 belongs to the orbit of the summed operator T. The paper's theorem on orbit support concerns the explicitly stated operator action.
Exact mathematical passage
e_3
e_4Use in source · 1 passage
Search aliases: e_4
Use in source · orbit_support.tex, line 63
,0.99500) 0; draw[fill=black!0,draw=black!40,line width=.35pt,] (4.69000,0.65000) rectangle ++(0.69000,0.69000); node[] at (5.03500,0.99500) 0; node[] at (8.85000,3.80000) Reach(0)={0,1,2,3}; node[] at (8.85000,2.75000) Hull_T(e_0)={(a,b,b,0,0)}; node[] at (8.85000,1.65000) e_3: reachable but absent; node[] at (8.85000,0.60000) e_4: unreachable and absent;
Exact mathematical passage
e_4:\ \text{unreachable and absent}
e_iUse in source · 2 passages
Search aliases: e_i
Use in source · visual_atlas.tex, line 18
vpage2An atlas of the objectsORIENTATION / KEEP THE TYPES VISIBLETraditional paper: Definition 2.1 (p. 2), Definition 5.5 (p. 11), Definition 7.4 (p. 16) Rows are targets and columns are sources throughout. If E_ji is a matrix unit, then E_jie_i=e_j. The notation e_i means a basis vector. A named graph edge is written a,b,c,d or e,f when its role is explicit.
Exact mathematical passage
E_{ji}e_i=e_j
e_jUse in source · 1 passage
Search aliases: e_j
Use in source · visual_atlas.tex, line 18
vpage2An atlas of the objectsORIENTATION / KEEP THE TYPES VISIBLETraditional paper: Definition 2.1 (p. 2), Definition 5.5 (p. 11), Definition 7.4 (p. 16) Rows are targets and columns are sources throughout. If E_ji is a matrix unit, then E_jie_i=e_j. The notation e_i means a basis vector. A named graph edge is written a,b,c,d or e,f when its role is explicit.
Exact mathematical passage
E_{ji}e_i=e_j
E_{ji}Use in source · 2 passages
Search aliases: E_ji
Use in source · visual_atlas.tex, line 18
vpage2An atlas of the objectsORIENTATION / KEEP THE TYPES VISIBLETraditional paper: Definition 2.1 (p. 2), Definition 5.5 (p. 11), Definition 7.4 (p. 16) Rows are targets and columns are sources throughout. If E_ji is a matrix unit, then E_jie_i=e_j. The notation e_i means a basis vector. A named graph edge is written a,b,c,d or e,f when its role is explicit.
Exact mathematical passage
E_{ji}
e_{n+1}Use in source · 1 passage
Search aliases: e_n+1
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 815
Let e_n= CF_f^n(x)-F_c^n(Cx) . The definition of the defect and the Lipschitz property give e_n+1≤ε_n+qe_n. Iterating this recurrence proves the first estimate. The second is the geometric sum.
Exact mathematical passage
e_{n+1}\le\varepsilon_n+qe_n.
e_{n-1}Use in source · 2 passages
Search aliases: e_n-1
Use in source · Read passage · 01_finite_coordinates.tex, line 249
For a nonempty composable word w=(e_1,…,e_n), define its reverse coefficient product c^←(w)=c(e_n)c(e_n-1)⋯ c(e_1). The reversal is essential over a noncommutative semiring.
Exact mathematical passage
c^\leftarrow(w)=c(e_n)c(e_{n-1})\cdots c(e_1).
E_{rs}Use in source · 2 passages
Search aliases: E_rs
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 704
[Matrix difference grading] Let A=M_N(𝕜) and assign the matrix unit E_rs the label r-s modulo N. Since E_rsE_uv=δ_suE_rv, the output label is (r-s)+(u-v)=r-v whenever the product is nonzero. Matrix multiplication therefore obeys the cyclic convolution law exactly. The same grading resolves commutators and polynomial matrix equations.
Exact mathematical passage
E_{rs}
E_{rv}Use in source · 1 passage
Search aliases: E_rv
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 705
[Matrix difference grading] Let A=M_N(𝕜) and assign the matrix unit E_rs the label r-s modulo N. Since E_rsE_uv=δ_suE_rv, the output label is (r-s)+(u-v)=r-v whenever the product is nonzero. Matrix multiplication therefore obeys the cyclic convolution law exactly. The same grading resolves commutators and polynomial matrix equations.
Exact mathematical passage
E_{rs}E_{uv}=\delta_{su}E_{rv},
E_{\tgt(e),\src(e)}Use in source · 1 passage
Search aliases: E_tgt(e),src(e) tgt src operatorname operatorname
Use in source · visual_atlas.tex, line 24
L_e=c(e)E_tgt(e),src(e) · One operator supported on a packet. · pagerefV3
Exact mathematical passage
L_e=c(e)E_{\tgt(e),\src(e)}
E_{uv}Use in source · 1 passage
Search aliases: E_uv
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 705
[Matrix difference grading] Let A=M_N(𝕜) and assign the matrix unit E_rs the label r-s modulo N. Since E_rsE_uv=δ_suE_rv, the output label is (r-s)+(u-v)=r-v whenever the product is nonzero. Matrix multiplication therefore obeys the cyclic convolution law exactly. The same grading resolves commutators and polynomial matrix equations.
Exact mathematical passage
E_{rs}E_{uv}=\delta_{su}E_{rv},
E_{\alpha}Use in source · 1 passage
Search aliases: E_α alpha
Use in source · Read passage · 04_correction_transport.tex, line 966
Taylor's theorem in the Banach space of bounded operators gives P_α(t+h) = P_α(t)+hdot P_α(t)+E_α(t,h), E_α(t,h) ≤ C_1h^2, uniformly in t and α. Hence S( P(t+h), P(t)) = I+hK(t)+E(t,h), E(t,h) ≤ C_2h^2. Since K(t)^*=-K(t), S^*S=I+E_2(t,h), E_2(t,h) ≤ C_3h^2. For small h, the spectrum of S^*S lies in a fixed compact subinterval of (0,∞). The functional calculus for z^-1/2 gives (S^*S)^-1/2=I+E_3(t,h), E_3(t,h) ≤ C_4h^2. Multiplying the last two expansions proves the estimate.
Exact mathematical passage
P_\alpha(t+h) = P_\alpha(t)+h\dot P_\alpha(t)+E_{\alpha}(t,h), \qquad \|E_{\alpha}(t,h)\|\le C_1h^2,
\EndUse in source · 1 passage
Search aliases: End operatorname
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 80
Let X be a module over a unital ring. A finite packet system on X is a family P=(P_α)_α∈ I⊆End(X) of nonzero idempotents such that P_α P_β=0 when α≠β, ∑_α∈ IP_α=I_X. Write X_α=P_α X, X^ P=⊕_α∈ IX_α. The analysis and synthesis maps are A_ Px=(P_α x)_α, S_ P(x_α)_α=∑_α x_α. They are inverse isomorphisms.
Exact mathematical passage
\Pcal=(P_\alpha)_{\alpha\in I}\subseteq\End(X)
\expUse in source · 1 passage
Search aliases: exp
Use in source · Read passage · 04_correction_transport.tex, line 1062
[Convergence of sampled transports] Assume K is Lipschitz on [0,T]. For a partition 0=t_0<t_1<⋯<t_N=T, define U_π = exp((t_N-t_N-1)K(t_N-1)) ⋯ exp((t_1-t_0)K(t_0)). As the mesh |π| tends to zero, U_π⟶ U(T) in operator norm. There is a constant C, depending only on T, the supremum norm of K, and its Lipschitz constant, such that U_π-U(T) ≤ C|π|.
Exact mathematical passage
U_\pi = \exp\big((t_N-t_{N-1})K(t_{N-1})\big) \cdots \exp\big((t_1-t_0)K(t_0)\big).
F^0Use in source · 4 passages
Search aliases: F^0
Use in source · Read passage · 04_correction_transport.tex, line 199
Let X and Y be modules with decreasing filtrations X=F^0X⊇ F^1X⊇⋯, Y=F^0Y⊇ F^1Y⊇⋯. Assume both are separated and complete for their filtration topologies. Let Φ:X→ Y be continuous and filtration congruence preserving in the sense that h∈ F^mX Longrightarrow Φ(x+h)-Φ(x)∈ F^mY for every x∈ X and every m. This condition makes the statement Φ(x)∈ F^mY depend only on the class of x modulo F^mX.
Exact mathematical passage
X=F^0X\supseteq F^1X\supseteq\cdots, \qquad Y=F^0Y\supseteq F^1Y\supseteq\cdots.
F^1Use in source · 4 passages
Search aliases: F^1
Use in source · Read passage · 04_correction_transport.tex, line 199
Let X and Y be modules with decreasing filtrations X=F^0X⊇ F^1X⊇⋯, Y=F^0Y⊇ F^1Y⊇⋯. Assume both are separated and complete for their filtration topologies. Let Φ:X→ Y be continuous and filtration congruence preserving in the sense that h∈ F^mX Longrightarrow Φ(x+h)-Φ(x)∈ F^mY for every x∈ X and every m. This condition makes the statement Φ(x)∈ F^mY depend only on the class of x modulo F^mX.
Exact mathematical passage
X=F^0X\supseteq F^1X\supseteq\cdots, \qquad Y=F^0Y\supseteq F^1Y\supseteq\cdots.
F^2Use in source · 3 passages
Search aliases: F^2
Use in source · Read passage · 04_correction_transport.tex, line 483
[A fine class killed at the next page] Let C^0=𝕜 x and C^1=𝕜 y, with differential d(x)=y. Give C^0 the filtration F^0C^0=𝕜 x, F^1C^0=0, and give C^1 the filtration F^0C^1=F^1C^1=𝕜 y, F^2C^1=0. The associated graded differential is zero in the relevant positions, so both x and y give nonzero classes on the next page. The next differential sends the class of x to the class of y. The total complex is acyclic. Thus nonzero fine obstruction classes can cancel through a later refinement differential.
Exact mathematical passage
F^0C^1=F^1C^1=\bbk y, \qquad F^2C^1=0.
F^{2m}Use in source · 1 passage
Search aliases: F^2m
Use in source · Read passage · 04_correction_transport.tex, line 420
Direct expansion gives Ω(η+h) = Ω(η)+dh+[η,h]+frac12[h,h]. The filtration rule places [h,h] in F^2m L^2, which is contained in F^m+1 L^2 because m≥1. The congruence follows. The last statement is [source reference] applied to the induced graded correction map.
Exact mathematical passage
F^{2m}\Lcal^2
F^iUse in source · 1 passage
Search aliases: F^i
Use in source · Read passage · 04_correction_transport.tex, line 386
[Maurer Cartan lifting obstruction] Let L be a complete filtered differential graded Lie algebra over a ring in which two is invertible. Assume dF^i L⊆ F^i L, [F^i L,F^j L]⊆ F^i+j L. For a degree one element η, put Ω(η)=dη+frac12[η,η]. Suppose Ω(η)∈ F^m L^2 with m≥1. For every h∈ F^m L^1, Ω(η+h) ≡ Ω(η)+d_η h pmodF^m+1 L^2, d_η=d+[η,mathord·]. The obstruction to improving η by one depth is therefore the class of Ω(η) in the cokernel of gr^m(d_η): gr^m L^1 ⟶ gr^m L^2.
Exact mathematical passage
dF^i\Lcal\subseteq F^i\Lcal, \qquad [F^i\Lcal,F^j\Lcal]\subseteq F^{i+j}\Lcal.
F^{i+j}Use in source · 1 passage
Search aliases: F^i+j
Use in source · Read passage · 04_correction_transport.tex, line 386
[Maurer Cartan lifting obstruction] Let L be a complete filtered differential graded Lie algebra over a ring in which two is invertible. Assume dF^i L⊆ F^i L, [F^i L,F^j L]⊆ F^i+j L. For a degree one element η, put Ω(η)=dη+frac12[η,η]. Suppose Ω(η)∈ F^m L^2 with m≥1. For every h∈ F^m L^1, Ω(η+h) ≡ Ω(η)+d_η h pmodF^m+1 L^2, d_η=d+[η,mathord·]. The obstruction to improving η by one depth is therefore the class of Ω(η) in the cokernel of gr^m(d_η): gr^m L^1 ⟶ gr^m L^2.
Exact mathematical passage
dF^i\Lcal\subseteq F^i\Lcal, \qquad [F^i\Lcal,F^j\Lcal]\subseteq F^{i+j}\Lcal.
F^jUse in source · 1 passage
Search aliases: F^j
Use in source · Read passage · 04_correction_transport.tex, line 386
[Maurer Cartan lifting obstruction] Let L be a complete filtered differential graded Lie algebra over a ring in which two is invertible. Assume dF^i L⊆ F^i L, [F^i L,F^j L]⊆ F^i+j L. For a degree one element η, put Ω(η)=dη+frac12[η,η]. Suppose Ω(η)∈ F^m L^2 with m≥1. For every h∈ F^m L^1, Ω(η+h) ≡ Ω(η)+d_η h pmodF^m+1 L^2, d_η=d+[η,mathord·]. The obstruction to improving η by one depth is therefore the class of Ω(η) in the cokernel of gr^m(d_η): gr^m L^1 ⟶ gr^m L^2.
Exact mathematical passage
dF^i\Lcal\subseteq F^i\Lcal, \qquad [F^i\Lcal,F^j\Lcal]\subseteq F^{i+j}\Lcal.
F^{N+1}Use in source · 1 passage
Search aliases: F^N+1
Use in source · Read passage · 04_correction_transport.tex, line 431
[Spectral sequence of a finite filtered complex] Let C^bullet be a cochain complex with a finite decreasing filtration by subcomplexes C^bullet=F^0C^bullet⊇ F^1C^bullet⊇⋯⊇ F^N+1C^bullet=0. There is a natural spectral sequence with E_0^p,q=gr^pC^p+q, E_1^p,q=H^p+q(gr^pC^bullet), which converges to the associated graded object of H^p+q(C^bullet) with its induced filtration. A filtered cochain map induces a morphism of spectral sequences.
Exact mathematical passage
C^\bullet=F^0C^\bullet\supseteq F^1C^\bullet\supseteq\cdots\supseteq F^{N+1}C^\bullet=0.
F^rUse in source · 5 passages
Search aliases: F^r
Use in source · Read passage · 04_correction_transport.tex, line 352
For every fixed r, the congruences imply x_n-x_m∈ F^rX whenever n≥ m≥ r. Thus (x_m) is Cauchy for the filtration topology. Completeness gives a limit x_∞.
Exact mathematical passage
x_n-x_m\in F^rX
F_0Use in source · 3 passages
Search aliases: F_0
Use in source · visual_atlas.tex, line 181
vpage9One vector, three exact framesMODEL C / CANONICAL TRANSPORT HAS NO HOLONOMYTraditional paper: Theorem 4.1 (p. 7), Theorem 4.2 (p. 7) Let F_a synthesize chart coordinates into one ambient QQ^2. Choose F_0=I, F_1=mat1 · 1 0 · 1, F_2=mat2 · 0 1 · 1. The same ambient vector x=(3,2)^ T has chart coordinates u_a=F_a^-1x.
Exact mathematical passage
F_0=I,\qquad F_1=\mat{1&1\\0&1},\qquad F_2=\mat{2&0\\1&1}.
F_1Use in source · 3 passages
Search aliases: F_1
Use in source · visual_atlas.tex, line 181
vpage9One vector, three exact framesMODEL C / CANONICAL TRANSPORT HAS NO HOLONOMYTraditional paper: Theorem 4.1 (p. 7), Theorem 4.2 (p. 7) Let F_a synthesize chart coordinates into one ambient QQ^2. Choose F_0=I, F_1=mat1 · 1 0 · 1, F_2=mat2 · 0 1 · 1. The same ambient vector x=(3,2)^ T has chart coordinates u_a=F_a^-1x.
Exact mathematical passage
F_0=I,\qquad F_1=\mat{1&1\\0&1},\qquad F_2=\mat{2&0\\1&1}.
F_1^{-1}Use in source · 1 passage
Search aliases: F_1^-1
Use in source · visual_atlas.tex, line 195
Transport from chart a to chart b is forced: J_b← a=F_b^-1F_a. The route 0→1→2 agrees with the direct route because the middle frame cancels: (F_2^-1F_1)(F_1^-1F_0)=F_2^-1F_0. Returning to chart 0 cancels every remaining frame. The final coordinate vector is (3,2)^ T, not a sheared or rotated variant.
Exact mathematical passage
(F_2^{-1}F_1)(F_1^{-1}F_0)=F_2^{-1}F_0.
F_2Use in source · 2 passages
Search aliases: F_2
Use in source · visual_atlas.tex, line 181
vpage9One vector, three exact framesMODEL C / CANONICAL TRANSPORT HAS NO HOLONOMYTraditional paper: Theorem 4.1 (p. 7), Theorem 4.2 (p. 7) Let F_a synthesize chart coordinates into one ambient QQ^2. Choose F_0=I, F_1=mat1 · 1 0 · 1, F_2=mat2 · 0 1 · 1. The same ambient vector x=(3,2)^ T has chart coordinates u_a=F_a^-1x.
Exact mathematical passage
F_0=I,\qquad F_1=\mat{1&1\\0&1},\qquad F_2=\mat{2&0\\1&1}.
F_2^{-1}Use in source · 1 passage
Search aliases: F_2^-1
Use in source · visual_atlas.tex, line 195
Transport from chart a to chart b is forced: J_b← a=F_b^-1F_a. The route 0→1→2 agrees with the direct route because the middle frame cancels: (F_2^-1F_1)(F_1^-1F_0)=F_2^-1F_0. Returning to chart 0 cancels every remaining frame. The final coordinate vector is (3,2)^ T, not a sheared or rotated variant.
Exact mathematical passage
(F_2^{-1}F_1)(F_1^{-1}F_0)=F_2^{-1}F_0.
F_aUse in source · 6 passages
Search aliases: F_a
Use in source · Read passage · 01_finite_coordinates.tex, line 378
Let every chart a carry a linear frame equivalence F_a:Mxrightarrow∼M. The formal Paper III module defines transport from a to b by J_b← a=F_b^-1F_a. This frame formula means synthesize in chart a, then analyze in chart b.
Exact mathematical passage
F_a:M\xrightarrow{\sim}M
F_a^{-1}Use in source · 1 passage
Search aliases: F_a^-1
Use in source · visual_atlas.tex, line 185
1 · 1. The same ambient vector x=(3,2)^ T has chart coordinates u_a=F_a^-1x.
Exact mathematical passage
u_a=F_a^{-1}x
f_bUse in source · 1 passage
Search aliases: f_b
Use in source · node_defect_not_coordinate_defect.tex, line 38
tangle ++(0.87000,0.58000); node[] at (9.43500,1.39000) 0; draw[fill=black!10,draw=black!40,line width=.35pt,] (9.87000,1.10000) rectangle ++(0.87000,0.58000); node[] at (10.30500,1.39000) -2; draw[fill=black!10,draw=black!40,line width=.35pt,] (10.74000,1.10000) rectangle ++(0.87000,0.58000); node[] at (11.17500,1.39000) -8; node[] at (9.65000,-0.05000) correct chart formula: f_b(v)=v^2/2;
Exact mathematical passage
f_b(v)=v^2/2
F_b^{-1}Use in source · 2 passages
Search aliases: F_b^-1
Use in source · Read passage · 01_finite_coordinates.tex, line 380
Let every chart a carry a linear frame equivalence F_a:Mxrightarrow∼M. The formal Paper III module defines transport from a to b by J_b← a=F_b^-1F_a. This frame formula means synthesize in chart a, then analyze in chart b.
Exact mathematical passage
J_{b\leftarrow a}=F_b^{-1}F_a.
F_c^nUse in source · 3 passages
Search aliases: F_c^n
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 796
[Iterated orbit defect] Let F_f:X_f→ X_f and F_c:X_c→ X_c, with coarsening C:X_f→ X_c. Suppose F_c is q Lipschitz. For a fine orbit starting at x, assume Δ_F(F_f^j x) ≤ε_j. Then CF_f^n(x)-F_c^n(Cx) ≤ ∑_j=0^n-1q^n-1-jε_j. If 0≤ q<1 and every ε_j≤ε, then CF_f^n(x)-F_c^n(Cx) ≤ εfrac1-q^n1-q.
Exact mathematical passage
\left\|CF_f^n(x)-F_c^n(Cx)\right\| \le \sum_{j=0}^{n-1}q^{n-1-j}\varepsilon_j.
F_f^jUse in source · 1 passage
Search aliases: F_f^j
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 792
[Iterated orbit defect] Let F_f:X_f→ X_f and F_c:X_c→ X_c, with coarsening C:X_f→ X_c. Suppose F_c is q Lipschitz. For a fine orbit starting at x, assume Δ_F(F_f^j x) ≤ε_j. Then CF_f^n(x)-F_c^n(Cx) ≤ ∑_j=0^n-1q^n-1-jε_j. If 0≤ q<1 and every ε_j≤ε, then CF_f^n(x)-F_c^n(Cx) ≤ εfrac1-q^n1-q.
Exact mathematical passage
\|\Delta_F(F_f^j x)\|\le\varepsilon_j.
F_f^nUse in source · 3 passages
Search aliases: F_f^n
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 796
[Iterated orbit defect] Let F_f:X_f→ X_f and F_c:X_c→ X_c, with coarsening C:X_f→ X_c. Suppose F_c is q Lipschitz. For a fine orbit starting at x, assume Δ_F(F_f^j x) ≤ε_j. Then CF_f^n(x)-F_c^n(Cx) ≤ ∑_j=0^n-1q^n-1-jε_j. If 0≤ q<1 and every ε_j≤ε, then CF_f^n(x)-F_c^n(Cx) ≤ εfrac1-q^n1-q.
Exact mathematical passage
\left\|CF_f^n(x)-F_c^n(Cx)\right\| \le \sum_{j=0}^{n-1}q^{n-1-j}\varepsilon_j.
F_PUse in source · 6 passages
Search aliases: F_P
Use in source · Read passage · 04_correction_transport.tex, line 498
Let U,V,Y_P,Y_Q be Banach spaces. On an open neighborhood of (u_0,v_0)∈ U× V, split the variables and equations as x=(u,v), F(u,v)= F_P(u,v) F_Q(u,v) . Assume F takes values in Y_P× Y_Q, is twice continuously Fr echet differentiable near (u_0,v_0), satisfies F_Q(u_0,v_0)=0, and A=D_vF_Q(u_0,v_0) is a Banach space isomorphism from V to Y_Q. The implicit function theorem gives a local map v=φ(u), with φ(u_0)=v_0, satisfying F_Q(u,φ(u))=0. Define the reduced equation R(u)=F_P(u,φ(u)).
Exact mathematical passage
x=(u,v), \qquad F(u,v)= \begin{pmatrix} F_P(u,v)\\ F_Q(u,v) \end{pmatrix}.
F_{\Pcal\leftarrow\Pcal}Use in source · 1 passage
Search aliases: F_Pcal←Pcal F_ P← P Pcal leftarrow Pcal mathcal leftarrow mathcal
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 157
[Dynamical equivalence] Suppose X=Y and the same packet system is used on both sides. Packet coordinates preserve fixed points, periodic points, injectivity, surjectivity, and invertibility. In particular, F(x)=x Longleftrightarrow F_ P← P( A_ Px)= A_ Px.
Exact mathematical passage
F(x)=x \quad\Longleftrightarrow\quad F_{\Pcal\leftarrow\Pcal}(\Acal_{\Pcal}x)=\Acal_{\Pcal}x.
F_QUse in source · 13 passages
Search aliases: F_Q
Use in source · Read passage · 04_correction_transport.tex, line 498
Let U,V,Y_P,Y_Q be Banach spaces. On an open neighborhood of (u_0,v_0)∈ U× V, split the variables and equations as x=(u,v), F(u,v)= F_P(u,v) F_Q(u,v) . Assume F takes values in Y_P× Y_Q, is twice continuously Fr echet differentiable near (u_0,v_0), satisfies F_Q(u_0,v_0)=0, and A=D_vF_Q(u_0,v_0) is a Banach space isomorphism from V to Y_Q. The implicit function theorem gives a local map v=φ(u), with φ(u_0)=v_0, satisfying F_Q(u,φ(u))=0. Define the reduced equation R(u)=F_P(u,φ(u)).
Exact mathematical passage
x=(u,v), \qquad F(u,v)= \begin{pmatrix} F_P(u,v)\\ F_Q(u,v) \end{pmatrix}.
F_{\Qcal'\leftarrow\Pcal'}Use in source · 2 passages
Search aliases: F_Qcal'←Pcal' F_ Q'← P' Qcal leftarrow Pcal mathcal leftarrow mathcal
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 176
[Change of packet coordinates] Let P and P' be packet systems on X. Let Q and Q' be packet systems on Y. For any two packet systems U and V on the same space, write J_ U← V = A_ U S_ V. Then F_ Q'← P' = J_ Q'← Q F_ Q← P J_ P← P'.
Exact mathematical passage
F_{\Qcal'\leftarrow\Pcal'} = J_{\Qcal'\leftarrow\Qcal} F_{\Qcal\leftarrow\Pcal} J_{\Pcal\leftarrow\Pcal'}.
F_rUse in source · 1 passage
Search aliases: F_r
Use in source · Read passage · 01_finite_coordinates.tex, line 402
Every identity is cancellation of adjacent F_rF_r^-1 factors. The Lean definitions use leannameLinearEquiv.trans; the displayed formulas use the equivalent right-to-left function-composition notation fixed in this paper.
Exact mathematical passage
F_rF_r^{-1}
F_r^{-1}Use in source · 1 passage
Search aliases: F_r^-1
Use in source · Read passage · 01_finite_coordinates.tex, line 402
Every identity is cancellation of adjacent F_rF_r^-1 factors. The Lean definitions use leannameLinearEquiv.trans; the displayed formulas use the equivalent right-to-left function-composition notation fixed in this paper.
Exact mathematical passage
F_rF_r^{-1}
\FcalUse in source · 1 passage
Search aliases: Fcal F mathcal
Use in source · Read passage · 04_correction_transport.tex, line 1121
[Curvature of a projected connection] Let P be a smooth orthogonal projector valued map on a parameter manifold. The connection ∇=P d on the range bundle has curvature F=P(dPwedge dP)P.
Exact mathematical passage
\Fcal=P(dP\wedge dP)P.
g^{(j)}Use in source · 1 passage
Search aliases: g^(j)
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 317
t↦ x+th. It contains [0,1], and repeated differentiation gives g^(r)(t)=D^rF(x+th)[h,…,h]. The derivatives are continuous on the compact interval, so their Bochner integrals exist in the Banach codomain. Put T_j=frac1j!∫_0^1(1-t)^j g^(j+1)(t) dt (0≤ j≤ m). The fundamental theorem of calculus gives T_0=g(1)-g(0). For j≥1, integration by parts gives T_j=T_j-1-g^(j)(0)/j!. Iterating this relation proves the Taylor identity with remainder T_m=R_m+1(x,h) and its exact factorial normalization.
Exact mathematical passage
T_j=T_{j-1}-g^{(j)}(0)/j!
g^{(j+1)}Use in source · 1 passage
Search aliases: g^(j+1)
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 312
Set g(t)=F(x+th) on the open preimage of the domain under t↦ x+th. It contains [0,1], and repeated differentiation gives g^(r)(t)=D^rF(x+th)[h,…,h]. The derivatives are continuous on the compact interval, so their Bochner integrals exist in the Banach codomain. Put T_j=frac1j!∫_0^1(1-t)^j g^(j+1)(t) dt (0≤ j≤ m). The fundamental theorem of calculus gives T_0=g(1)-g(0). For j≥1, integration by parts gives T_j=T_j-1-g^(j)(0)/j!. Iterating this relation proves the Taylor identity with remainder T_m…
Exact mathematical passage
T_j=\frac1{j!}\int_0^1(1-t)^j g^{(j+1)}(t)\,dt \qquad(0\le j\le m).
g^{(r)}Use in source · 1 passage
Search aliases: g^(r)
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 311
Set g(t)=F(x+th) on the open preimage of the domain under t↦ x+th. It contains [0,1], and repeated differentiation gives g^(r)(t)=D^rF(x+th)[h,…,h]. The derivatives are continuous on the compact interval, so their Bochner integrals exist in the Banach codomain. Put T_j=frac1j!∫_0^1(1-t)^j g^(j+1)(t) dt (0≤ j≤ m). The fundamental theorem of calculus gives T_0=g(1)-g(0). For j≥1, integration by parts gives T_j=T_j-1-g^(j)(0)/j!. Iterating this relation proves the Taylor identity with remainder T_m…
Exact mathematical passage
g^{(r)}(t)=D^rF(x+th)[h,\ldots,h]
G^{-1}Use in source · 4 passages
Search aliases: G^-1
Use in source · visual_atlas.tex, line 408
Direct multiplication gives GOb G^-1=mat-1 · 1 -1 · 1. For example, the original (0,0) block vanishes, while the new (0,0) block relative to the old coordinate projectors does not. This is why the theorem about preservation of each block's zero status requires G P_i=P_iG.
Exact mathematical passage
G\Ob G^{-1}=\mat{-1&1\\-1&1}.
g_0Use in source · 2 passages
Search aliases: g_0
Use in source · visual_atlas.tex, line 324
vpage15Flat is not the same as calibratedMODEL D / A FLAT CONNECTION WITH NONIDENTITY EDGESTraditional paper: Theorem 6.3 (p. 14) Make all three canonical charts literally identical, so J_b← a=1 over QQ. Choose scalar gauges g_0=1, g_1=2, and g_2=3, and define Γ_b← a=g_b g_a^-1. The edge 0→1 is multiplication by two, although its canonical counterpart is the identity.
Exact mathematical passage
g_0=1
g_2Use in source · 2 passages
Search aliases: g_2
Use in source · visual_atlas.tex, line 324
vpage15Flat is not the same as calibratedMODEL D / A FLAT CONNECTION WITH NONIDENTITY EDGESTraditional paper: Theorem 6.3 (p. 14) Make all three canonical charts literally identical, so J_b← a=1 over QQ. Choose scalar gauges g_0=1, g_1=2, and g_2=3, and define Γ_b← a=g_b g_a^-1. The edge 0→1 is multiplication by two, although its canonical counterpart is the identity.
Exact mathematical passage
g_2=3
g_aUse in source · 1 passage
Search aliases: g_a
Use in source · visual_atlas.tex, line 331
vfig[.97]flat_not_calibrated platecaptionThe rulers display the chosen gauge scales: the marks are g_a n for integer n. They visualize the supplied scalar factors, not an intrinsic metric. Relative transport is the ratio of the target and source scales.
Exact mathematical passage
g_a n
g_a^{-1}Use in source · 2 passages
Search aliases: g_a^-1
Use in source · visual_atlas.tex, line 325
vpage15Flat is not the same as calibratedMODEL D / A FLAT CONNECTION WITH NONIDENTITY EDGESTraditional paper: Theorem 6.3 (p. 14) Make all three canonical charts literally identical, so J_b← a=1 over QQ. Choose scalar gauges g_0=1, g_1=2, and g_2=3, and define Γ_b← a=g_b g_a^-1. The edge 0→1 is multiplication by two, although its canonical counterpart is the identity.
Exact mathematical passage
\Gamma_{b\leftarrow a}=g_b g_a^{-1}.
g_bUse in source · 2 passages
Search aliases: g_b
Use in source · visual_atlas.tex, line 325
vpage15Flat is not the same as calibratedMODEL D / A FLAT CONNECTION WITH NONIDENTITY EDGESTraditional paper: Theorem 6.3 (p. 14) Make all three canonical charts literally identical, so J_b← a=1 over QQ. Choose scalar gauges g_0=1, g_1=2, and g_2=3, and define Γ_b← a=g_b g_a^-1. The edge 0→1 is multiplication by two, although its canonical counterpart is the identity.
Exact mathematical passage
\Gamma_{b\leftarrow a}=g_b g_a^{-1}.
G_b^{-1}Use in source · 2 passages
Search aliases: G_b^-1
Use in source · Read passage · 02_connections_obstructions.tex, line 341
Substitute the definition of Γ^G. Adjacent factors G_b^-1G_b and G_c^-1G_c cancel. In the defect, both the composite and direct terms acquire the same outer factors G_c and G_a^-1. In the loop, all inner factors cancel and only conjugation at the base remains.
Exact mathematical passage
G_b^{-1}G_b
g_b^{-1}Use in source · 1 passage
Search aliases: g_b^-1
Use in source · visual_atlas.tex, line 334
The route through two steps 0→1→2 has multiplier (3/2)2=3, equal to the direct route 0→2. More generally, (g_cg_b^-1)(g_bg_a^-1)=g_cg_a^-1 for every triple. Thus this connection is flat and reversible, but it is not calibrated to the original J, whose values are identities.
Exact mathematical passage
(g_cg_b^{-1})(g_bg_a^{-1})=g_cg_a^{-1}
G_cUse in source · 10 passages
Search aliases: G_c
Use in source · Read passage · 02_connections_obstructions.tex, line 328
[Gauge covariance] The defect and triangle holonomy transform as Δ^G_c,b,a =G_cΔ_c,b,aG_a^-1, H^G_c,b,a =G_aH_c,b,aG_a^-1. Thus flatness and triviality of triangle holonomy are gauge invariant. statusleanthreeKomorebi.PaperIII.Transport.ReversibleConnection.gauge_cocycleDefect; Komorebi.PaperIII.Transport.ReversibleConnection.gauge_triangleHolonomy; Komorebi.PaperIII.Transport.ReversibleConnection.gauge_flat_iff; Komorebi.PaperIII.Transport.ReversibleConnection.gauge_triangleHolonomy_eq_refl_iff
Exact mathematical passage
\Delta^G_{c,b,a} =G_c\Delta_{c,b,a}G_a^{-1}, \qquad H^G_{c,b,a} =G_aH_{c,b,a}G_a^{-1}.
g_cUse in source · 1 passage
Search aliases: g_c
Use in source · visual_atlas.tex, line 334
The route through two steps 0→1→2 has multiplier (3/2)2=3, equal to the direct route 0→2. More generally, (g_cg_b^-1)(g_bg_a^-1)=g_cg_a^-1 for every triple. Thus this connection is flat and reversible, but it is not calibrated to the original J, whose values are identities.
Exact mathematical passage
(g_cg_b^{-1})(g_bg_a^{-1})=g_cg_a^{-1}
G_c^{-1}Use in source · 2 passages
Search aliases: G_c^-1
Use in source · Read passage · 02_connections_obstructions.tex, line 341
Substitute the definition of Γ^G. Adjacent factors G_b^-1G_b and G_c^-1G_c cancel. In the defect, both the composite and direct terms acquire the same outer factors G_c and G_a^-1. In the loop, all inner factors cancel and only conjugation at the base remains.
Exact mathematical passage
G_c^{-1}G_c
G_fUse in source · 1 passage
Search aliases: G_f
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 749
[Exact defect under composition] Let G_f:Y_f→ Z_f and G_c:Y_c→ Z_c, with coarsening C_Z:Z_f→ Z_c. Then Δ_G∘ F(x) = Δ_G(F_f(x)) + G_c(F_c(C_Xx)+Δ_F(x)) - G_c(F_c(C_Xx)). If G_c is L Lipschitz on the relevant set, then Δ_G∘ F(x) ≤ Δ_G(F_f(x)) + L Δ_F(x) .
Exact mathematical passage
G_f:Y_f\to Z_f
G_{\Rcal\leftarrow\Qcal}Use in source · 2 passages
Search aliases: G_Rcal←Qcal G_ R← Q Rcal leftarrow Qcal mathcal leftarrow mathcal
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 127
[Exact nonlinear coordinate theorem] For every map F:X→ Y, S_ QF_ Q← P A_ P=F. If G:Y→ Z and R is a packet system on Z, then (G∘ F)_ R← P = G_ R← Q ∘ F_ Q← P. No linearity, continuity, or differentiability assumption is needed.
Exact mathematical passage
(G\circ F)_{\Rcal\leftarrow\Pcal} = G_{\Rcal\leftarrow\Qcal} \circ F_{\Qcal\leftarrow\Pcal}.
G_{v_0}Use in source · 1 passage
Search aliases: G_v_0
Use in source · Read passage · 04_correction_transport.tex, line 660
[Gauge covariance] For a loop γ based at v_0, Hol'(γ) = G_v_0Hol(γ)G_v_0^-1. Thus the conjugacy class of each loop holonomy is gauge invariant.
Exact mathematical passage
\Hol'(\gamma) = G_{v_0}\Hol(\gamma)G_{v_0}^{-1}.
G_{v_0}^{-1}Use in source · 1 passage
Search aliases: G_v_0^-1
Use in source · Read passage · 04_correction_transport.tex, line 660
[Gauge covariance] For a loop γ based at v_0, Hol'(γ) = G_v_0Hol(γ)G_v_0^-1. Thus the conjugacy class of each loop holonomy is gauge invariant.
Exact mathematical passage
\Hol'(\gamma) = G_{v_0}\Hol(\gamma)G_{v_0}^{-1}.
G_{\gamma,B}Use in source · 1 passage
Search aliases: G_γ,B gamma
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 340
For a block B={i_1<⋯<i_s} and an intermediate packet γ, write G_γ,B(xmid h) = J^s_γmidα_i_1,…,α_i_sG(x) [h_i_1,…,h_i_s].
Exact mathematical passage
G_{\gamma,B}(x\mid h) = J^s_{\gamma\mid\alpha_{i_1},\ldots,\alpha_{i_s}}G(x) [h_{i_1},\ldots,h_{i_s}].
G_{\gamma_1,B_1}Use in source · 1 passage
Search aliases: G_γ_1,B_1 gamma
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 353
di Bruno formula] Let n≥1, let X,Y,Z be Banach spaces over the same real or complex field, and let G:X→ Y and F:Y→ Z be n times continuously Fr echet differentiable. Let P, Q, and R be packet systems on X, Y, and Z. Fix input packets α_1,…,α_n, an output packet δ, and directions h_i∈ X_α_i. Then · J^n_δmidα_1,…,α_n(F∘ G)(x) [h_1,…,h_n] · = ∑_π={B_1,…,B_k} ∑_γ_1,…,γ_k J^k_δmidγ_1,…,γ_kF(Gx) [ G_γ_1,B_1(xmid h),…, G_γ_k,B_k(xmid h) ]. The first sum runs over all set partitions of {1,…,n}.
Exact mathematical passage
\begin{aligned} &J^{n}_{\delta\mid\alpha_1,\ldots,\alpha_n}(F\circ G)(x) [h_1,\ldots,h_n]\\ &= \sum_{\pi=\{B_1,\ldots,B_k\}} \sum_{\gamma_1,\ldots,\gamma_k} J^{k}_{\delta\mid\gamma_1,\ldots,\gamma_k}F(Gx) \big[ G_{\gamma_1,B_1}(x\mid h),\ldots, G_{\gamma_k,B_k}(x\mid h) \big]. \end{aligned}
G_{\gamma_k,B_k}Use in source · 1 passage
Search aliases: G_γ_k,B_k gamma
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 353
di Bruno formula] Let n≥1, let X,Y,Z be Banach spaces over the same real or complex field, and let G:X→ Y and F:Y→ Z be n times continuously Fr echet differentiable. Let P, Q, and R be packet systems on X, Y, and Z. Fix input packets α_1,…,α_n, an output packet δ, and directions h_i∈ X_α_i. Then · J^n_δmidα_1,…,α_n(F∘ G)(x) [h_1,…,h_n] · = ∑_π={B_1,…,B_k} ∑_γ_1,…,γ_k J^k_δmidγ_1,…,γ_kF(Gx) [ G_γ_1,B_1(xmid h),…, G_γ_k,B_k(xmid h) ]. The first sum runs over all set partitions of {1,…,n}.
Exact mathematical passage
\begin{aligned} &J^{n}_{\delta\mid\alpha_1,\ldots,\alpha_n}(F\circ G)(x) [h_1,\ldots,h_n]\\ &= \sum_{\pi=\{B_1,\ldots,B_k\}} \sum_{\gamma_1,\ldots,\gamma_k} J^{k}_{\delta\mid\gamma_1,\ldots,\gamma_k}F(Gx) \big[ G_{\gamma_1,B_1}(x\mid h),\ldots, G_{\gamma_k,B_k}(x\mid h) \big]. \end{aligned}
\grUse in source · 2 passages
Search aliases: gr operatorname
Use in source · Read passage · 04_correction_transport.tex, line 405
i+j L. For a degree one element η, put Ω(η)=dη+frac12[η,η]. Suppose Ω(η)∈ F^m L^2 with m≥1. For every h∈ F^m L^1, Ω(η+h) ≡ Ω(η)+d_η h pmodF^m+1 L^2, d_η=d+[η,mathord·]. The obstruction to improving η by one depth is therefore the class of Ω(η) in the cokernel of gr^m(d_η): gr^m L^1 ⟶ gr^m L^2.
Exact mathematical passage
\gr^m(d_\eta): \gr^m\Lcal^1 \longrightarrow \gr^m\Lcal^2.
\gr^mUse in source · 1 passage
Search aliases: gr^m gr operatorname
Use in source · Read passage · 04_correction_transport.tex, line 405
i+j L. For a degree one element η, put Ω(η)=dη+frac12[η,η]. Suppose Ω(η)∈ F^m L^2 with m≥1. For every h∈ F^m L^1, Ω(η+h) ≡ Ω(η)+d_η h pmodF^m+1 L^2, d_η=d+[η,mathord·]. The obstruction to improving η by one depth is therefore the class of Ω(η) in the cokernel of gr^m(d_η): gr^m L^1 ⟶ gr^m L^2.
Exact mathematical passage
\gr^m(d_\eta): \gr^m\Lcal^1 \longrightarrow \gr^m\Lcal^2.
\gr^pUse in source · 1 passage
Search aliases: gr^p gr operatorname
Use in source · Read passage · 04_correction_transport.tex, line 435
[Spectral sequence of a finite filtered complex] Let C^bullet be a cochain complex with a finite decreasing filtration by subcomplexes C^bullet=F^0C^bullet⊇ F^1C^bullet⊇⋯⊇ F^N+1C^bullet=0. There is a natural spectral sequence with E_0^p,q=gr^pC^p+q, E_1^p,q=H^p+q(gr^pC^bullet), which converges to the associated graded object of H^p+q(C^bullet) with its induced filtration. A filtered cochain map induces a morphism of spectral sequences.
Exact mathematical passage
E_0^{p,q}=\gr^pC^{p+q}, \qquad E_1^{p,q}=H^{p+q}(\gr^pC^\bullet),
hUse in source · 64 passages
Search aliases: h
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 235
[Exact reconstruction of derivatives] For h_1,…,h_r∈ X, D^rF(x)[h_1,…,h_r] = ∑_γ ∑_α_1,…,α_r J^r_γmidα_1,…,α_rF(x) [P_α_1h_1,…,P_α_rh_r].
Exact mathematical passage
h_1,\ldots,h_r\in X
h'Use in source · 2 passages
Search aliases: h'
Use in source · Read passage · 04_correction_transport.tex, line 305
If x'-x∈ F^mX, then filtration congruence preservation gives Φ(x')-Φ(x)∈ F^mY. Thus one defect lies in F^mY exactly when the other does. If h-h'∈ F^m+1X, then x_m+h and x_m+h' define the same depth m+1 class. Conversely, two depth m+1 classes reducing to [x_m]_m differ from x_m by elements of F^mX, and they are equal precisely when those elements agree modulo F^m+1X. The first order congruence shows that such a child has defect in F^m+1Y exactly when its correction class solves the associated gr…
Exact mathematical passage
h-h'\in F^{m+1}X
H^0Use in source · 1 passage
Search aliases: H^0
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 1144
[Cohomological obstruction through the cone] Let e∈ E^n satisfy d_Ee=0. The class of (e,0) in H^n(Cone(D)) vanishes if and only if the class [e]∈ H^n(E) lies in the image of H^n(D):H^n(C)⟶ H^n(E). When C and E are concentrated in degree zero, H^0(Cone(D))≅coker D.
Exact mathematical passage
H^0(\Cone(D))\cong\coker D.
H^1Use in source · 1 passage
Search aliases: H^1
Use in source · Read passage · 04_correction_transport.tex, line 761
[Abelian cohomology class] When the structure group A is abelian, gauge classes of transports are naturally H^1(Γ,A) ≅ Hom(H_1(Γ, Z),A). After a basis of H_1(Γ, Z) is chosen, this group is identified with A^b_1.
Exact mathematical passage
H^1(\Gamma,A) \cong \Hom(H_1(\Gamma,\mathbb Z),A).
h^2Use in source · 6 passages
Search aliases: h^2
Use in source · Read passage · 04_correction_transport.tex, line 950
[One step direct rotation estimate] Assume P(t) is twice continuously differentiable in operator norm on [0,T]. There are constants h_0>0 and C>0 such that, whenever t,t+h∈[0,T] and |h|≤ h_0, U( P(t+h), P(t)) - I - hK(t) ≤ Ch^2. The constants can be chosen uniformly in t.
Exact mathematical passage
\left\| \Ucal(\Pcal(t+h),\Pcal(t)) - I - hK(t) \right\| \le Ch^2.
H^DUse in source · 1 passage
Search aliases: H^D
Use in source · visual_atlas.tex, line 297
vpage14Gauge changes the picture, not flatnessMODEL E / CONJUGATION AND ITS LIMITSTraditional paper: Theorem 6.2 (p. 14) At the base chart, change coordinates by D=diag(2,1). Transform every connection edge by the prescribed endpoint gauges. The loop transforms by conjugation, giving H^D=DHD^-1=mat1 · 2 0 · 1. The shear looks stronger in these fixed numerical axes, but the verdict on flatness is unchanged by gauge.
Exact mathematical passage
H^D=DHD^{-1}=\mat{1&2\\0&1}.
H^G_{c,b,a}Use in source · 1 passage
Search aliases: H^G_c,b,a
Use in source · Read passage · 02_connections_obstructions.tex, line 328
[Gauge covariance] The defect and triangle holonomy transform as Δ^G_c,b,a =G_cΔ_c,b,aG_a^-1, H^G_c,b,a =G_aH_c,b,aG_a^-1. Thus flatness and triviality of triangle holonomy are gauge invariant. statusleanthreeKomorebi.PaperIII.Transport.ReversibleConnection.gauge_cocycleDefect; Komorebi.PaperIII.Transport.ReversibleConnection.gauge_triangleHolonomy; Komorebi.PaperIII.Transport.ReversibleConnection.gauge_flat_iff; Komorebi.PaperIII.Transport.ReversibleConnection.gauge_triangleHolonomy_eq_refl_iff
Exact mathematical passage
\Delta^G_{c,b,a} =G_c\Delta_{c,b,a}G_a^{-1}, \qquad H^G_{c,b,a} =G_aH_{c,b,a}G_a^{-1}.
H^nUse in source · 8 passages
Search aliases: H^n
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 1136
[Cohomological obstruction through the cone] Let e∈ E^n satisfy d_Ee=0. The class of (e,0) in H^n(Cone(D)) vanishes if and only if the class [e]∈ H^n(E) lies in the image of H^n(D):H^n(C)⟶ H^n(E). When C and E are concentrated in degree zero, H^0(Cone(D))≅coker D.
Exact mathematical passage
H^n(\Cone(D))
H^{p+q}Use in source · 2 passages
Search aliases: H^p+q
Use in source · Read passage · 04_correction_transport.tex, line 435
[Spectral sequence of a finite filtered complex] Let C^bullet be a cochain complex with a finite decreasing filtration by subcomplexes C^bullet=F^0C^bullet⊇ F^1C^bullet⊇⋯⊇ F^N+1C^bullet=0. There is a natural spectral sequence with E_0^p,q=gr^pC^p+q, E_1^p,q=H^p+q(gr^pC^bullet), which converges to the associated graded object of H^p+q(C^bullet) with its induced filtration. A filtered cochain map induces a morphism of spectral sequences.
Exact mathematical passage
E_0^{p,q}=\gr^pC^{p+q}, \qquad E_1^{p,q}=H^{p+q}(\gr^pC^\bullet),
h_0Use in source · 2 passages
Search aliases: h_0
Use in source · Read passage · 04_correction_transport.tex, line 949
[One step direct rotation estimate] Assume P(t) is twice continuously differentiable in operator norm on [0,T]. There are constants h_0>0 and C>0 such that, whenever t,t+h∈[0,T] and |h|≤ h_0, U( P(t+h), P(t)) - I - hK(t) ≤ Ch^2. The constants can be chosen uniformly in t.
Exact mathematical passage
h_0>0
H_1Use in source · 3 passages
Search aliases: H_1
Use in source · Read passage · 04_correction_transport.tex, line 6
[Orthogonal obstruction projector] Let D:H_1→ H_2 be a bounded operator between Hilbert spaces with closed range. Let D^† be its Moore Penrose inverse. Then P_ob=I_H_2-DD^† is the orthogonal projector onto (im D)^⊥=Ker D^*. For r∈ H_2, the following are equivalent: item Du=-r is solvable item [r]=0 in coker D item P_obr=0. When these conditions hold, -D^† r is the least norm correction. For every r, dist(r,im D)= P_obr .
Exact mathematical passage
D:H_1\to H_2
h_1Use in source · 7 passages
Search aliases: h_1
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 235
[Exact reconstruction of derivatives] For h_1,…,h_r∈ X, D^rF(x)[h_1,…,h_r] = ∑_γ ∑_α_1,…,α_r J^r_γmidα_1,…,α_rF(x) [P_α_1h_1,…,P_α_rh_r].
Exact mathematical passage
h_1,\ldots,h_r\in X
H_2Use in source · 4 passages
Search aliases: H_2
Use in source · Read passage · 04_correction_transport.tex, line 6
[Orthogonal obstruction projector] Let D:H_1→ H_2 be a bounded operator between Hilbert spaces with closed range. Let D^† be its Moore Penrose inverse. Then P_ob=I_H_2-DD^† is the orthogonal projector onto (im D)^⊥=Ker D^*. For r∈ H_2, the following are equivalent: item Du=-r is solvable item [r]=0 in coker D item P_obr=0. When these conditions hold, -D^† r is the least norm correction. For every r, dist(r,im D)= P_obr .
Exact mathematical passage
D:H_1\to H_2
h_2Use in source · 2 passages
Search aliases: h_2
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 400
[The second order composition law] At order two, the partition formula has two shapes. For packet directions h_1 and h_2, R_δ D^2(F∘ G)(x)[h_1,h_2] = · ∑_γ_1,γ_2 J^2_δmidγ_1,γ_2F(Gx) [J^1_γ_1midα_1G(x)h_1,J^1_γ_2midα_2G(x)h_2]
Exact mathematical passage
h_2
H_{2,1,0}Use in source · 5 passages
Search aliases: H_2,1,0
Use in source · Read passage · 02_connections_obstructions.tex, line 72
[The minimal API admits nontrivial holonomy] There is a connection on three points over Q for which transport 0→1 is multiplication by 2, every other transport between distinct endpoints is the identity, and H_2,1,0(1)=2. In particular H_2,1,0≠id. statusleanthreeKomorebi.PaperIII.Transport.twistedThreePointConnection; Komorebi.PaperIII.Transport.twisted_triangleHolonomy_apply_one; Komorebi.PaperIII.Transport.twisted_triangleHolonomy_ne_refl
Exact mathematical passage
H_{2,1,0}(1)=2.
h_iUse in source · 1 passage
Search aliases: h_i
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 352
[Packet Fa a di Bruno formula] Let n≥1, let X,Y,Z be Banach spaces over the same real or complex field, and let G:X→ Y and F:Y→ Z be n times continuously Fr echet differentiable. Let P, Q, and R be packet systems on X, Y, and Z. Fix input packets α_1,…,α_n, an output packet δ, and directions h_i∈ X_α_i. Then · J^n_δmidα_1,…,α_n(F∘ G)(x) [h_1,…,h_n]
Exact mathematical passage
h_i\in X_{\alpha_i}
h_{i_1}Use in source · 1 passage
Search aliases: h_i_1
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 340
For a block B={i_1<⋯<i_s} and an intermediate packet γ, write G_γ,B(xmid h) = J^s_γmidα_i_1,…,α_i_sG(x) [h_i_1,…,h_i_s].
Exact mathematical passage
G_{\gamma,B}(x\mid h) = J^s_{\gamma\mid\alpha_{i_1},\ldots,\alpha_{i_s}}G(x) [h_{i_1},\ldots,h_{i_s}].
h_{i_s}Use in source · 1 passage
Search aliases: h_i_s
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 340
For a block B={i_1<⋯<i_s} and an intermediate packet γ, write G_γ,B(xmid h) = J^s_γmidα_i_1,…,α_i_sG(x) [h_i_1,…,h_i_s].
Exact mathematical passage
G_{\gamma,B}(x\mid h) = J^s_{\gamma\mid\alpha_{i_1},\ldots,\alpha_{i_s}}G(x) [h_{i_1},\ldots,h_{i_s}].
h_jUse in source · 5 passages
Search aliases: h_j
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 277
For h_j∈ X_α_j, the inherited norm gives Q_γ D^rF(x)[h_1,…,h_r] ≤ Q_γ D^rF(x) ∏_j h_j . Taking the multilinear operator norm proves the sharper restricted estimate. For ambient inputs, replace h_j by P_α_jh_j and apply the operator norm bound to each projector. Every nonzero idempotent has norm at least one, since it fixes a nonzero vector in its range. The displayed product bound therefore also follows for the restricted jet. If a zero packet is retained as a redundant index, multilinearity mak…
Exact mathematical passage
h_j\in X_{\alpha_j}
h_j^2Use in source · 2 passages
Search aliases: h_j^2
Use in source · Read passage · 04_correction_transport.tex, line 1024
Let U(t,s) be the exact propagator generated by K. Since K is continuously differentiable, the integral equation for U(t+h,t) gives a uniform estimate U(t+h,t)-I-hK(t) ≤ C_1h^2. By [source reference], the direct rotation V_j from t_j to t_j+1 therefore satisfies V_j-U(t_j+1,t_j) ≤ C_2h_j^2, h_j=t_j+1-t_j. Both V_j and the exact propagator are unitary. A telescoping product comparison gives V_π-U(T,0) ≤ ∑_j V_j-U(t_j+1,t_j) ≤ C_2∑_jh_j^2 ≤ C_2T|π|. This proves norm convergence and the stated firs…
Exact mathematical passage
\|V_j-U(t_{j+1},t_j)\| \le C_2h_j^2, \qquad h_j=t_{j+1}-t_j.
H_{ji}Use in source · 1 passage
Search aliases: H_ji
Use in source · Read passage · 02_connections_obstructions.tex, line 653
For a loop represented on one common finite scalar packet coordinate type, the proposition resolves its successive transport matrices into packet walks. If R is a ring, as in the reversible connection API, then (H-I)_ji=H_ji-δ_ji. In particular, off-diagonal entries are unchanged. Thus a nonzero off-diagonal holonomy obstruction in this model with a common index type requires a transport word along the closed chart loop whose packet path runs from its input packet to its output packet. This conc…
Exact mathematical passage
(H-I)_{ji}=H_{ji}-\delta_{ji}
h_mUse in source · 4 passages
Search aliases: h_m
Use in source · Read passage · 04_correction_transport.tex, line 251
[One step lifting criterion] The approximation x_m has a correction h_m∈ F^mX such that Φ(x_m+h_m)∈ F^m+1Y if and only if Ob_m(x_m)=0. When a correction exists, the set of its classes in F^mX/F^m+1X is a coset of Keroverline L_m. If the graded pieces are vector spaces, this coset is an affine space.
Exact mathematical passage
h_m\in F^mX
h_m'Use in source · 1 passage
Search aliases: h_m'
Use in source · Read passage · 04_correction_transport.tex, line 272
The next depth condition is equivalent to overline L_m[h_m] =-[Φ(x_m)] in F^mY/F^m+1Y. This is solvable exactly when the displayed defect has zero cokernel class. If h_m and h_m' are two solutions, their difference lies in Keroverline L_m. Adding an element of the kernel to one solution gives another, so the solution set is a coset of the kernel.
Exact mathematical passage
h_m'
h_nUse in source · 1 passage
Search aliases: h_n
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 353
di Bruno formula] Let n≥1, let X,Y,Z be Banach spaces over the same real or complex field, and let G:X→ Y and F:Y→ Z be n times continuously Fr echet differentiable. Let P, Q, and R be packet systems on X, Y, and Z. Fix input packets α_1,…,α_n, an output packet δ, and directions h_i∈ X_α_i. Then · J^n_δmidα_1,…,α_n(F∘ G)(x) [h_1,…,h_n] · = ∑_π={B_1,…,B_k} ∑_γ_1,…,γ_k J^k_δmidγ_1,…,γ_kF(Gx) [ G_γ_1,B_1(xmid h),…, G_γ_k,B_k(xmid h) ]. The first sum runs over all set partitions of {1,…,n}.
Exact mathematical passage
\begin{aligned} &J^{n}_{\delta\mid\alpha_1,\ldots,\alpha_n}(F\circ G)(x) [h_1,\ldots,h_n]\\ &= \sum_{\pi=\{B_1,\ldots,B_k\}} \sum_{\gamma_1,\ldots,\gamma_k} J^{k}_{\delta\mid\gamma_1,\ldots,\gamma_k}F(Gx) \big[ G_{\gamma_1,B_1}(x\mid h),\ldots, G_{\gamma_k,B_k}(x\mid h) \big]. \end{aligned}
h_{n+1}Use in source · 1 passage
Search aliases: h_n+1
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 371
First derive the unprojected partition formula. At order one it is the ordinary chain rule. Suppose it holds at order n and the maps are C^n+1. Differentiating a summand in direction h_n+1 has two kinds of contribution. A derivative of the outer map creates the new singleton block {n+1}. A derivative of an inner block jet adjoins n+1 to that block. Every partition of {1,…,n+1} arises exactly once: if {n+1} is a block, remove that block. Otherwise remove n+1 from the unique block that contains it…
Exact mathematical passage
h_{n+1}
h_rUse in source · 4 passages
Search aliases: h_r
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 235
[Exact reconstruction of derivatives] For h_1,…,h_r∈ X, D^rF(x)[h_1,…,h_r] = ∑_γ ∑_α_1,…,α_r J^r_γmidα_1,…,α_rF(x) [P_α_1h_1,…,P_α_rh_r].
Exact mathematical passage
h_1,\ldots,h_r\in X
\HolUse in source · 2 passages
Search aliases: Hol operatorname
Use in source · Read passage · 04_correction_transport.tex, line 660
[Gauge covariance] For a loop γ based at v_0, Hol'(γ) = G_v_0Hol(γ)G_v_0^-1. Thus the conjugacy class of each loop holonomy is gauge invariant.
Exact mathematical passage
\Hol'(\gamma) = G_{v_0}\Hol(\gamma)G_{v_0}^{-1}.
\Hol'Use in source · 1 passage
Search aliases: Hol' Hol operatorname
Use in source · Read passage · 04_correction_transport.tex, line 660
[Gauge covariance] For a loop γ based at v_0, Hol'(γ) = G_v_0Hol(γ)G_v_0^-1. Thus the conjugacy class of each loop holonomy is gauge invariant.
Exact mathematical passage
\Hol'(\gamma) = G_{v_0}\Hol(\gamma)G_{v_0}^{-1}.
\Hol_AUse in source · 1 passage
Search aliases: Hol_A Hol operatorname
Use in source · Read passage · 04_correction_transport.tex, line 717
[Fundamental holonomy intertwining criterion] The following conditions are equivalent. item There is a family of isomorphisms U_v:V_0→ W_0 with the prescribed root value U_r and satisfying U_vA_vu=B_vuU_u for every oriented edge u→ v. item For every fundamental loop γ based at r, U_rHol_A(γ)=Hol_B(γ)U_r. item The same identity holds for every loop based at r. When these conditions hold, the family (U_v) is uniquely determined by U_r.
Exact mathematical passage
U_r\Hol_A(\gamma)=\Hol_B(\gamma)U_r.
\Hol_BUse in source · 1 passage
Search aliases: Hol_B Hol operatorname
Use in source · Read passage · 04_correction_transport.tex, line 717
[Fundamental holonomy intertwining criterion] The following conditions are equivalent. item There is a family of isomorphisms U_v:V_0→ W_0 with the prescribed root value U_r and satisfying U_vA_vu=B_vuU_u for every oriented edge u→ v. item For every fundamental loop γ based at r, U_rHol_A(γ)=Hol_B(γ)U_r. item The same identity holds for every loop based at r. When these conditions hold, the family (U_v) is uniquely determined by U_r.
Exact mathematical passage
U_r\Hol_A(\gamma)=\Hol_B(\gamma)U_r.
\operatorname{Hull}Use in source · 1 passage
Search aliases: Hull operatorname
Use in source · orbit_support.tex, line 61
(5.03500,1.68500) 0; draw[fill=black!0,draw=black!40,line width=.35pt,] (4.00000,0.65000) rectangle ++(0.69000,0.69000); node[] at (4.34500,0.99500) 0; draw[fill=black!0,draw=black!40,line width=.35pt,] (4.69000,0.65000) rectangle ++(0.69000,0.69000); node[] at (5.03500,0.99500) 0; node[] at (8.85000,3.80000) Reach(0)={0,1,2,3}; node[] at (8.85000,2.75000) Hull_T(e_0)={(a,b,b,0,0)}; node[] at (8.85000,1.65000) e_3: reachable but absent; node[] at (8.85000,0.60000) e_4: unreachable and absent;
Exact mathematical passage
\operatorname{Hull}_T(e_0)=\{(a,b,b,0,0)\}
\operatorname{Hull}_TUse in source · 1 passage
Search aliases: Hull_T operatorname
Use in source · orbit_support.tex, line 61
(5.03500,1.68500) 0; draw[fill=black!0,draw=black!40,line width=.35pt,] (4.00000,0.65000) rectangle ++(0.69000,0.69000); node[] at (4.34500,0.99500) 0; draw[fill=black!0,draw=black!40,line width=.35pt,] (4.69000,0.65000) rectangle ++(0.69000,0.69000); node[] at (5.03500,0.99500) 0; node[] at (8.85000,3.80000) Reach(0)={0,1,2,3}; node[] at (8.85000,2.75000) Hull_T(e_0)={(a,b,b,0,0)}; node[] at (8.85000,1.65000) e_3: reachable but absent; node[] at (8.85000,0.60000) e_4: unreachable and absent;
Exact mathematical passage
\operatorname{Hull}_T(e_0)=\{(a,b,b,0,0)\}
i_0Use in source · 2 passages
Search aliases: i_0
Use in source · Read passage · 02_connections_obstructions.tex, line 609
[Packet path expansion for different matrices] For i,j∈ V and m≥1, set i_0=i and i_m=j. Then (B_m⋯ B_1)_ji = ∑_(i_1,…,i_m-1)∈ V^m-1 B_m[i_m,i_m-1]⋯ B_1[i_1,i_0]. When m=1, the sum is over the unique empty tuple and its summand is B_1[j,i]. For m=0, the product is the identity and the entry is the Kronecker delta δ_ji. If every B_r[q,p] vanishes outside a declared relation R_r(p,q), then the endpoint entry is zero whenever there is no packet path compatible with the successive relations. statusle…
Exact mathematical passage
i_0=i
i_1Use in source · 3 passages
Search aliases: i_1
Use in source · Read passage · 02_connections_obstructions.tex, line 610
[Packet path expansion for different matrices] For i,j∈ V and m≥1, set i_0=i and i_m=j. Then (B_m⋯ B_1)_ji = ∑_(i_1,…,i_m-1)∈ V^m-1 B_m[i_m,i_m-1]⋯ B_1[i_1,i_0]. When m=1, the sum is over the unique empty tuple and its summand is B_1[j,i]. For m=0, the product is the identity and the entry is the Kronecker delta δ_ji. If every B_r[q,p] vanishes outside a declared relation R_r(p,q), then the endpoint entry is zero whenever there is no packet path compatible with the successive relations. statusle…
Exact mathematical passage
\boxed{ (B_m\cdots B_1)_{ji} = \sum_{(i_1,\ldots,i_{m-1})\in V^{m-1}} B_m[i_m,i_{m-1}]\cdots B_1[i_1,i_0]. }
I_aUse in source · 5 passages
Search aliases: I_a
Use in source · Read passage · 01_finite_coordinates.tex, line 434
The graph model above resolves a fixed scalar matrix. Coordinate transport is a separate construction. Let X be an R-module, and let P^a=(P^a_i)_i∈ I_a be a finite complete family of pairwise orthogonal linear idempotents: P^a_iP^a_j=δ_ijP^a_i, ∑_i∈ I_aP^a_i=I_X. Define the exact packet coordinate module Coord( P^a) = {(x_i)_i∈ I_a:P^a_ix_i=x_i}. Its analysis and synthesis maps are A_a(x)=(P^a_ix)_i, S_a((x_i)_i)=∑_ix_i. Completeness and orthogonality give S_a A_a=id_X, A_a S_a=id_Coord( P^a).
Exact mathematical passage
\cP^a=(P^a_i)_{i\in I_a}
I_{H_2}Use in source · 1 passage
Search aliases: I_H_2
Use in source · Read passage · 04_correction_transport.tex, line 7
[Orthogonal obstruction projector] Let D:H_1→ H_2 be a bounded operator between Hilbert spaces with closed range. Let D^† be its Moore Penrose inverse. Then P_ob=I_H_2-DD^† is the orthogonal projector onto (im D)^⊥=Ker D^*. For r∈ H_2, the following are equivalent: item Du=-r is solvable item [r]=0 in coker D item P_obr=0. When these conditions hold, -D^† r is the least norm correction. For every r, dist(r,im D)= P_obr .
Exact mathematical passage
P_{\mathrm{ob}}=I_{H_2}-DD^\dagger
i_mUse in source · 2 passages
Search aliases: i_m
Use in source · Read passage · 02_connections_obstructions.tex, line 609
[Packet path expansion for different matrices] For i,j∈ V and m≥1, set i_0=i and i_m=j. Then (B_m⋯ B_1)_ji = ∑_(i_1,…,i_m-1)∈ V^m-1 B_m[i_m,i_m-1]⋯ B_1[i_1,i_0]. When m=1, the sum is over the unique empty tuple and its summand is B_1[j,i]. For m=0, the product is the identity and the entry is the Kronecker delta δ_ji. If every B_r[q,p] vanishes outside a declared relation R_r(p,q), then the endpoint entry is zero whenever there is no packet path compatible with the successive relations. statusle…
Exact mathematical passage
i_m=j
i_{m-1}Use in source · 1 passage
Search aliases: i_m-1
Use in source · Read passage · 02_connections_obstructions.tex, line 610
[Packet path expansion for different matrices] For i,j∈ V and m≥1, set i_0=i and i_m=j. Then (B_m⋯ B_1)_ji = ∑_(i_1,…,i_m-1)∈ V^m-1 B_m[i_m,i_m-1]⋯ B_1[i_1,i_0]. When m=1, the sum is over the unique empty tuple and its summand is B_1[j,i]. For m=0, the product is the identity and the entry is the Kronecker delta δ_ji. If every B_r[q,p] vanishes outside a declared relation R_r(p,q), then the endpoint entry is zero whenever there is no packet path compatible with the successive relations. statusle…
Exact mathematical passage
\boxed{ (B_m\cdots B_1)_{ji} = \sum_{(i_1,\ldots,i_{m-1})\in V^{m-1}} B_m[i_m,i_{m-1}]\cdots B_1[i_1,i_0]. }
i_sUse in source · 2 passages
Search aliases: i_s
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 339
For a block B={i_1<⋯<i_s} and an intermediate packet γ, write G_γ,B(xmid h) = J^s_γmidα_i_1,…,α_i_sG(x) [h_i_1,…,h_i_s].
Exact mathematical passage
B=\{i_1<\cdots<i_s\}
i_UUse in source · 6 passages
Search aliases: i_U
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 1044
[Relative obstruction exact sequence] Suppose the following diagram of modules commutes and has exact rows: ccccccccc 0 · ⟶ · U_0 · xrightarrowi_U · U_f · xrightarrowp_U · U_c · ⟶ · 0 [4pt] · · mathllapD_0downarrow · · mathllapD_fdownarrow · · mathllapD_cdownarrow · · [4pt] 0 · ⟶ · V_0 · xrightarrowi_V · V_f · xrightarrowp_V · V_c · ⟶ · 0. There is a natural exact sequence 0 · ⟶Ker D_0 ⟶Ker D_f ⟶Ker D_c xrightarrowδcoker D_0
Exact mathematical passage
\begin{array}{ccccccccc} 0&\longrightarrow&U_0&\xrightarrow{i_U}&U_f&\xrightarrow{p_U}&U_c&\longrightarrow&0\\[4pt] &&\mathllap{D_0}\downarrow&&\mathllap{D_f}\downarrow&&\mathllap{D_c}\downarrow&&\\[4pt] 0&\longrightarrow&V_0&\xrightarrow{i_V}&V_f&\xrightarrow{p_V}&V_c&\longrightarrow&0. \end{array}
I_vUse in source · 2 passages
Search aliases: I_v
Use in source · Read passage · 02_connections_obstructions.tex, line 859
Suppose every X_v has a finite complete packet family (P^v_i)_i∈ I_v. A packet labeling assigns an admissible packet index to each edge or node of a typed tree. For multilinear Φ_σ, inserting id_X_v=∑_i∈ I_vP^v_i at every input and output yields a finite sum over trees with packet labels. This is the branching analogue of inserting intermediate projectors in [source reference].
Exact mathematical passage
(P^v_i)_{i\in I_v}
i_VUse in source · 8 passages
Search aliases: i_V
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 1044
[Relative obstruction exact sequence] Suppose the following diagram of modules commutes and has exact rows: ccccccccc 0 · ⟶ · U_0 · xrightarrowi_U · U_f · xrightarrowp_U · U_c · ⟶ · 0 [4pt] · · mathllapD_0downarrow · · mathllapD_fdownarrow · · mathllapD_cdownarrow · · [4pt] 0 · ⟶ · V_0 · xrightarrowi_V · V_f · xrightarrowp_V · V_c · ⟶ · 0. There is a natural exact sequence 0 · ⟶Ker D_0 ⟶Ker D_f ⟶Ker D_c xrightarrowδcoker D_0
Exact mathematical passage
\begin{array}{ccccccccc} 0&\longrightarrow&U_0&\xrightarrow{i_U}&U_f&\xrightarrow{p_U}&U_c&\longrightarrow&0\\[4pt] &&\mathllap{D_0}\downarrow&&\mathllap{D_f}\downarrow&&\mathllap{D_c}\downarrow&&\\[4pt] 0&\longrightarrow&V_0&\xrightarrow{i_V}&V_f&\xrightarrow{p_V}&V_c&\longrightarrow&0. \end{array}
I_XUse in source · 6 passages
Search aliases: I_X
Use in source · Read passage · 01_finite_coordinates.tex, line 438
The graph model above resolves a fixed scalar matrix. Coordinate transport is a separate construction. Let X be an R-module, and let P^a=(P^a_i)_i∈ I_a be a finite complete family of pairwise orthogonal linear idempotents: P^a_iP^a_j=δ_ijP^a_i, ∑_i∈ I_aP^a_i=I_X. Define the exact packet coordinate module Coord( P^a) = {(x_i)_i∈ I_a:P^a_ix_i=x_i}. Its analysis and synthesis maps are A_a(x)=(P^a_ix)_i, S_a((x_i)_i)=∑_ix_i. Completeness and orthogonality give S_a A_a=id_X, A_a S_a=id_Coord( P^a).
Exact mathematical passage
P^a_iP^a_j=\delta_{ij}P^a_i, \qquad \sum_{i\in I_a}P^a_i=I_X.
I_YUse in source · 4 passages
Search aliases: I_Y
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 138
The identities S_ P A_ P=I_X and S_ Q A_ Q=I_Y give S_ QF_ Q← P A_ P = S_ Q A_ QF S_ P A_ P =F. For composition, G_ R← QF_ Q← P = A_ RG S_ Q A_ QF S_ P = A_ R(G∘ F) S_ P.
Exact mathematical passage
\Scal_{\Qcal}\Acal_{\Qcal}=I_Y
I_ZUse in source · 1 passage
Search aliases: I_Z
Use in source · Read passage · 04_correction_transport.tex, line 38
[Right inverse correction theorem] Let D:X→ Y be a bounded linear map between Banach spaces. Assume Z=im D is closed and there is a bounded linear right inverse R:Z⟶ X, DR=I_Z. Put X_R=R(Z). Let N:overline B_ρ(0)∩ X_R⟶ Z be L Lipschitz. Let y∈ Z and put q= R L. Assume q<1 and R(y-N(0)) ≤ (1-q)ρ. Then the equation Dx+N(x)=y has a unique solution in overline B_ρ(0)∩ X_R.
Exact mathematical passage
R:Z\longrightarrow X, \qquad DR=I_Z.
\id_{\Coord(\cP^a)}Use in source · 1 passage
Search aliases: id_Coord(cP^a) id_Coord( P^a) id Coord cP mathrm operatorname mathcal
Use in source · Read passage · 01_finite_coordinates.tex, line 456
i)_i∈ I_a be a finite complete family of pairwise orthogonal linear idempotents: P^a_iP^a_j=δ_ijP^a_i, ∑_i∈ I_aP^a_i=I_X. Define the exact packet coordinate module Coord( P^a) = {(x_i)_i∈ I_a:P^a_ix_i=x_i}. Its analysis and synthesis maps are A_a(x)=(P^a_ix)_i, S_a((x_i)_i)=∑_ix_i. Completeness and orthogonality give S_a A_a=id_X, A_a S_a=id_Coord( P^a).
Exact mathematical passage
\cS_a\cA_a=\id_X, \qquad \cA_a\cS_a=\id_{\Coord(\cP^a)}.
\id_XUse in source · 2 passages
Search aliases: id_X id mathrm
Use in source · Read passage · 01_finite_coordinates.tex, line 456
i)_i∈ I_a be a finite complete family of pairwise orthogonal linear idempotents: P^a_iP^a_j=δ_ijP^a_i, ∑_i∈ I_aP^a_i=I_X. Define the exact packet coordinate module Coord( P^a) = {(x_i)_i∈ I_a:P^a_ix_i=x_i}. Its analysis and synthesis maps are A_a(x)=(P^a_ix)_i, S_a((x_i)_i)=∑_ix_i. Completeness and orthogonality give S_a A_a=id_X, A_a S_a=id_Coord( P^a).
Exact mathematical passage
\cS_a\cA_a=\id_X, \qquad \cA_a\cS_a=\id_{\Coord(\cP^a)}.
\id_{X_v}Use in source · 1 passage
Search aliases: id_X_v id mathrm
Use in source · Read passage · 02_connections_obstructions.tex, line 861
Suppose every X_v has a finite complete packet family (P^v_i)_i∈ I_v. A packet labeling assigns an admissible packet index to each edge or node of a typed tree. For multilinear Φ_σ, inserting id_X_v=∑_i∈ I_vP^v_i at every input and output yields a finite sum over trees with packet labels. This is the branching analogue of inserting intermediate projectors in [source reference].
Exact mathematical passage
\id_{X_v}=\sum_{i\in I_v}P^v_i
J^1_{\gamma_1\mid\alpha_1}Use in source · 1 passage
Search aliases: J^1_γ_1midα_1 gamma mid alpha
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 401
[The second order composition law] At order two, the partition formula has two shapes. For packet directions h_1 and h_2, R_δ D^2(F∘ G)(x)[h_1,h_2] = · ∑_γ_1,γ_2 J^2_δmidγ_1,γ_2F(Gx) [J^1_γ_1midα_1G(x)h_1,J^1_γ_2midα_2G(x)h_2] · + ∑_γ J^1_δmidγF(Gx) [J^2_γmidα_1,α_2G(x)[h_1,h_2]]. The first line records two first order changes entering a quadratic interaction of F. The second records a genuine second order interaction created inside G before F is applied.
Exact mathematical passage
\begin{aligned} R_\delta D^2(F\circ G)(x)[h_1,h_2] ={}& \sum_{\gamma_1,\gamma_2} J^2_{\delta\mid\gamma_1,\gamma_2}F(Gx) [J^1_{\gamma_1\mid\alpha_1}G(x)h_1,J^1_{\gamma_2\mid\alpha_2}G(x)h_2]\\ &+ \sum_\gamma J^1_{\delta\mid\gamma}F(Gx) [J^2_{\gamma\mid\alpha_1,\alpha_2}G(x)[h_1,h_2]]. \end{aligned}
J^1_{\gamma_2\mid\alpha_2}Use in source · 1 passage
Search aliases: J^1_γ_2midα_2 gamma mid alpha
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 401
[The second order composition law] At order two, the partition formula has two shapes. For packet directions h_1 and h_2, R_δ D^2(F∘ G)(x)[h_1,h_2] = · ∑_γ_1,γ_2 J^2_δmidγ_1,γ_2F(Gx) [J^1_γ_1midα_1G(x)h_1,J^1_γ_2midα_2G(x)h_2] · + ∑_γ J^1_δmidγF(Gx) [J^2_γmidα_1,α_2G(x)[h_1,h_2]]. The first line records two first order changes entering a quadratic interaction of F. The second records a genuine second order interaction created inside G before F is applied.
Exact mathematical passage
\begin{aligned} R_\delta D^2(F\circ G)(x)[h_1,h_2] ={}& \sum_{\gamma_1,\gamma_2} J^2_{\delta\mid\gamma_1,\gamma_2}F(Gx) [J^1_{\gamma_1\mid\alpha_1}G(x)h_1,J^1_{\gamma_2\mid\alpha_2}G(x)h_2]\\ &+ \sum_\gamma J^1_{\delta\mid\gamma}F(Gx) [J^2_{\gamma\mid\alpha_1,\alpha_2}G(x)[h_1,h_2]]. \end{aligned}
J^1_{\delta\mid\gamma}Use in source · 1 passage
Search aliases: J^1_δmidγ delta mid gamma
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 401
[The second order composition law] At order two, the partition formula has two shapes. For packet directions h_1 and h_2, R_δ D^2(F∘ G)(x)[h_1,h_2] = · ∑_γ_1,γ_2 J^2_δmidγ_1,γ_2F(Gx) [J^1_γ_1midα_1G(x)h_1,J^1_γ_2midα_2G(x)h_2] · + ∑_γ J^1_δmidγF(Gx) [J^2_γmidα_1,α_2G(x)[h_1,h_2]]. The first line records two first order changes entering a quadratic interaction of F. The second records a genuine second order interaction created inside G before F is applied.
Exact mathematical passage
\begin{aligned} R_\delta D^2(F\circ G)(x)[h_1,h_2] ={}& \sum_{\gamma_1,\gamma_2} J^2_{\delta\mid\gamma_1,\gamma_2}F(Gx) [J^1_{\gamma_1\mid\alpha_1}G(x)h_1,J^1_{\gamma_2\mid\alpha_2}G(x)h_2]\\ &+ \sum_\gamma J^1_{\delta\mid\gamma}F(Gx) [J^2_{\gamma\mid\alpha_1,\alpha_2}G(x)[h_1,h_2]]. \end{aligned}
J^2_{\gamma\mid\alpha_1,\alpha_2}Use in source · 1 passage
Search aliases: J^2_γmidα_1,α_2 gamma mid alpha alpha
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 401
[The second order composition law] At order two, the partition formula has two shapes. For packet directions h_1 and h_2, R_δ D^2(F∘ G)(x)[h_1,h_2] = · ∑_γ_1,γ_2 J^2_δmidγ_1,γ_2F(Gx) [J^1_γ_1midα_1G(x)h_1,J^1_γ_2midα_2G(x)h_2] · + ∑_γ J^1_δmidγF(Gx) [J^2_γmidα_1,α_2G(x)[h_1,h_2]]. The first line records two first order changes entering a quadratic interaction of F. The second records a genuine second order interaction created inside G before F is applied.
Exact mathematical passage
\begin{aligned} R_\delta D^2(F\circ G)(x)[h_1,h_2] ={}& \sum_{\gamma_1,\gamma_2} J^2_{\delta\mid\gamma_1,\gamma_2}F(Gx) [J^1_{\gamma_1\mid\alpha_1}G(x)h_1,J^1_{\gamma_2\mid\alpha_2}G(x)h_2]\\ &+ \sum_\gamma J^1_{\delta\mid\gamma}F(Gx) [J^2_{\gamma\mid\alpha_1,\alpha_2}G(x)[h_1,h_2]]. \end{aligned}
J^2_{\delta\mid\gamma_1,\gamma_2}Use in source · 1 passage
Search aliases: J^2_δmidγ_1,γ_2 delta mid gamma gamma
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 401
[The second order composition law] At order two, the partition formula has two shapes. For packet directions h_1 and h_2, R_δ D^2(F∘ G)(x)[h_1,h_2] = · ∑_γ_1,γ_2 J^2_δmidγ_1,γ_2F(Gx) [J^1_γ_1midα_1G(x)h_1,J^1_γ_2midα_2G(x)h_2] · + ∑_γ J^1_δmidγF(Gx) [J^2_γmidα_1,α_2G(x)[h_1,h_2]]. The first line records two first order changes entering a quadratic interaction of F. The second records a genuine second order interaction created inside G before F is applied.
Exact mathematical passage
\begin{aligned} R_\delta D^2(F\circ G)(x)[h_1,h_2] ={}& \sum_{\gamma_1,\gamma_2} J^2_{\delta\mid\gamma_1,\gamma_2}F(Gx) [J^1_{\gamma_1\mid\alpha_1}G(x)h_1,J^1_{\gamma_2\mid\alpha_2}G(x)h_2]\\ &+ \sum_\gamma J^1_{\delta\mid\gamma}F(Gx) [J^2_{\gamma\mid\alpha_1,\alpha_2}G(x)[h_1,h_2]]. \end{aligned}
J^{k}_{\delta\mid\gamma_1,\ldots,\gamma_k}Use in source · 1 passage
Search aliases: J^k_δmidγ_1,…,γ_k delta mid gamma ldots gamma
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 353
di Bruno formula] Let n≥1, let X,Y,Z be Banach spaces over the same real or complex field, and let G:X→ Y and F:Y→ Z be n times continuously Fr echet differentiable. Let P, Q, and R be packet systems on X, Y, and Z. Fix input packets α_1,…,α_n, an output packet δ, and directions h_i∈ X_α_i. Then · J^n_δmidα_1,…,α_n(F∘ G)(x) [h_1,…,h_n] · = ∑_π={B_1,…,B_k} ∑_γ_1,…,γ_k J^k_δmidγ_1,…,γ_kF(Gx) [ G_γ_1,B_1(xmid h),…, G_γ_k,B_k(xmid h) ]. The first sum runs over all set partitions of {1,…,n}.
Exact mathematical passage
\begin{aligned} &J^{n}_{\delta\mid\alpha_1,\ldots,\alpha_n}(F\circ G)(x) [h_1,\ldots,h_n]\\ &= \sum_{\pi=\{B_1,\ldots,B_k\}} \sum_{\gamma_1,\ldots,\gamma_k} J^{k}_{\delta\mid\gamma_1,\ldots,\gamma_k}F(Gx) \big[ G_{\gamma_1,B_1}(x\mid h),\ldots, G_{\gamma_k,B_k}(x\mid h) \big]. \end{aligned}
J^{n}_{\delta\mid\alpha_1,\ldots,\alpha_n}Use in source · 1 passage
Search aliases: J^n_δmidα_1,…,α_n delta mid alpha ldots alpha
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 353
di Bruno formula] Let n≥1, let X,Y,Z be Banach spaces over the same real or complex field, and let G:X→ Y and F:Y→ Z be n times continuously Fr echet differentiable. Let P, Q, and R be packet systems on X, Y, and Z. Fix input packets α_1,…,α_n, an output packet δ, and directions h_i∈ X_α_i. Then · J^n_δmidα_1,…,α_n(F∘ G)(x) [h_1,…,h_n] · = ∑_π={B_1,…,B_k} ∑_γ_1,…,γ_k J^k_δmidγ_1,…,γ_kF(Gx) [ G_γ_1,B_1(xmid h),…, G_γ_k,B_k(xmid h) ]. The first sum runs over all set partitions of {1,…,n}.
Exact mathematical passage
\begin{aligned} &J^{n}_{\delta\mid\alpha_1,\ldots,\alpha_n}(F\circ G)(x) [h_1,\ldots,h_n]\\ &= \sum_{\pi=\{B_1,\ldots,B_k\}} \sum_{\gamma_1,\ldots,\gamma_k} J^{k}_{\delta\mid\gamma_1,\ldots,\gamma_k}F(Gx) \big[ G_{\gamma_1,B_1}(x\mid h),\ldots, G_{\gamma_k,B_k}(x\mid h) \big]. \end{aligned}
J^r_{\gamma\mid\alpha_1,\ldots,\alpha_r}Use in source · 1 passage
Search aliases: J^r_γmidα_1,…,α_r gamma mid alpha ldots alpha
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 260
[Jet norm bound] Give every packet range its inherited subspace norm. The restricted jet satisfies the sharper estimate J^r_γmidα_1,…,α_rF(x) ≤ Q_γ D^rF(x) . Its ambient extension inserts P_α_j in the jth slot and has norm at most Q_γ D^rF(x) ∏_j P_α_j . Consequently the operator norm of the restricted packet jet also satisfies J^r_γmidα_1,…,α_rF(x) ≤ Q_γ D^rF(x) ∏_j=1^r P_α_j . When all packets are orthogonal projections on Hilbert spaces, every nonzero projector has norm one and the bound redu…
Exact mathematical passage
\left\|J^r_{\gamma\mid\alpha_1,\ldots,\alpha_r}F(x)\right\| \le \|Q_\gamma\|\,\|D^rF(x)\|.
J^r_{\delta\mid\alpha_1,\ldots,\alpha_r}Use in source · 1 passage
Search aliases: J^r_δmidα_1,…,α_r delta mid alpha ldots alpha
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 391
[Structural pruning] For a map H with fixed input and output packet systems, let supp_r H(x) be the set of external profiles (δ;α_1,…,α_r) for which the restricted jet J^r_δmidα_1,…,α_rH(x) is nonzero. A profile belongs to the admissible composition set if it admits a partition π={B_1,…,B_k} and intermediate labels γ_1,…,γ_k such that the outer jet of F and every inner block jet of G in [source reference] are nonzero. Then supp_n(F∘ G)(x) is contained in this admissible set. In particular, a sum…
Exact mathematical passage
J^r_{\delta\mid\alpha_1,\ldots,\alpha_r}H(x)
J^s_{\gamma\mid\alpha_{i_1},\ldots,\alpha_{i_s}}Use in source · 1 passage
Search aliases: J^s_γmidα_i_1,…,α_i_s gamma mid alpha ldots alpha
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 340
For a block B={i_1<⋯<i_s} and an intermediate packet γ, write G_γ,B(xmid h) = J^s_γmidα_i_1,…,α_i_sG(x) [h_i_1,…,h_i_s].
Exact mathematical passage
G_{\gamma,B}(x\mid h) = J^s_{\gamma\mid\alpha_{i_1},\ldots,\alpha_{i_s}}G(x) [h_{i_1},\ldots,h_{i_s}].
J^X_{a\leftarrow a}Use in source · 1 passage
Search aliases: J^X_a← a leftarrow
Use in source · Read passage · 01_finite_coordinates.tex, line 486
[Identity, inverse, and cocycle for canonical transport] For any exact packet systems a,b,c on X, J^X_a← a=id, (J^X_b← a)^-1=J^X_a← b, J^X_c← bJ^X_b← a=J^X_c← a. statusleanpriorKomorebi.PaperII.NestedRefinement.refineCoordinates_self; Komorebi.PaperII.NestedRefinement.coarsenCoordinates_refineCoordinates; Komorebi.PaperII.NestedRefinement.refineCoordinates_coarsenCoordinates; Komorebi.PaperII.NestedRefinement.refineCoordinates_comp; Komorebi.PaperII.NestedRefinement.coordinateRefinementEquiv_tra…
Exact mathematical passage
J^X_{a\leftarrow a}=\id, \qquad \left(J^X_{b\leftarrow a}\right)^{-1}=J^X_{a\leftarrow b}, \qquad J^X_{c\leftarrow b}J^X_{b\leftarrow a}=J^X_{c\leftarrow a}.
J^X_{a\leftarrow b}Use in source · 2 passages
Search aliases: J^X_a← b leftarrow
Use in source · Read passage · 01_finite_coordinates.tex, line 486
[Identity, inverse, and cocycle for canonical transport] For any exact packet systems a,b,c on X, J^X_a← a=id, (J^X_b← a)^-1=J^X_a← b, J^X_c← bJ^X_b← a=J^X_c← a. statusleanpriorKomorebi.PaperII.NestedRefinement.refineCoordinates_self; Komorebi.PaperII.NestedRefinement.coarsenCoordinates_refineCoordinates; Komorebi.PaperII.NestedRefinement.refineCoordinates_coarsenCoordinates; Komorebi.PaperII.NestedRefinement.refineCoordinates_comp; Komorebi.PaperII.NestedRefinement.coordinateRefinementEquiv_tra…
Exact mathematical passage
J^X_{a\leftarrow a}=\id, \qquad \left(J^X_{b\leftarrow a}\right)^{-1}=J^X_{a\leftarrow b}, \qquad J^X_{c\leftarrow b}J^X_{b\leftarrow a}=J^X_{c\leftarrow a}.
J^X_{a\leftarrow c}Use in source · 1 passage
Search aliases: J^X_a← c leftarrow
Use in source · Read passage · 01_finite_coordinates.tex, line 537
[Canonical triangle holonomy is trivial] For every triple a,b,c, J^X_a← cJ^X_c← bJ^X_b← a=id. statusleanpriorKomorebi.PaperII.NestedRefinement.refineCoordinates_comp; Komorebi.PaperII.NestedRefinement.refineCoordinates_self
Exact mathematical passage
J^X_{a\leftarrow c}J^X_{c\leftarrow b}J^X_{b\leftarrow a}=\id.
J^X_{c\leftarrow a}Use in source · 2 passages
Search aliases: J^X_c← a leftarrow
Use in source · Read passage · 01_finite_coordinates.tex, line 486
[Identity, inverse, and cocycle for canonical transport] For any exact packet systems a,b,c on X, J^X_a← a=id, (J^X_b← a)^-1=J^X_a← b, J^X_c← bJ^X_b← a=J^X_c← a. statusleanpriorKomorebi.PaperII.NestedRefinement.refineCoordinates_self; Komorebi.PaperII.NestedRefinement.coarsenCoordinates_refineCoordinates; Komorebi.PaperII.NestedRefinement.refineCoordinates_coarsenCoordinates; Komorebi.PaperII.NestedRefinement.refineCoordinates_comp; Komorebi.PaperII.NestedRefinement.coordinateRefinementEquiv_tra…
Exact mathematical passage
J^X_{a\leftarrow a}=\id, \qquad \left(J^X_{b\leftarrow a}\right)^{-1}=J^X_{a\leftarrow b}, \qquad J^X_{c\leftarrow b}J^X_{b\leftarrow a}=J^X_{c\leftarrow a}.
J^X_{c\leftarrow b}Use in source · 3 passages
Search aliases: J^X_c← b leftarrow
Use in source · Read passage · 01_finite_coordinates.tex, line 486
[Identity, inverse, and cocycle for canonical transport] For any exact packet systems a,b,c on X, J^X_a← a=id, (J^X_b← a)^-1=J^X_a← b, J^X_c← bJ^X_b← a=J^X_c← a. statusleanpriorKomorebi.PaperII.NestedRefinement.refineCoordinates_self; Komorebi.PaperII.NestedRefinement.coarsenCoordinates_refineCoordinates; Komorebi.PaperII.NestedRefinement.refineCoordinates_coarsenCoordinates; Komorebi.PaperII.NestedRefinement.refineCoordinates_comp; Komorebi.PaperII.NestedRefinement.coordinateRefinementEquiv_tra…
Exact mathematical passage
J^X_{a\leftarrow a}=\id, \qquad \left(J^X_{b\leftarrow a}\right)^{-1}=J^X_{a\leftarrow b}, \qquad J^X_{c\leftarrow b}J^X_{b\leftarrow a}=J^X_{c\leftarrow a}.
J^Y_{s\leftarrow r}Use in source · 3 passages
Search aliases: J^Y_s← r leftarrow
Use in source · Read passage · 01_finite_coordinates.tex, line 520
[Canonical coordinate naturality] The exact coordinate representation preserves typed composition and satisfies J^Y_s← rwidehat F_r← a = widehat F_s← bJ^X_b← a. statusleanpriorKomorebi.PaperII.NestedRefinement.coordinateOperator_comp; Komorebi.PaperII.NestedRefinement.coordinateOperator_naturality
Exact mathematical passage
J^Y_{s\leftarrow r}\widehat F_{r\leftarrow a} = \widehat F_{s\leftarrow b}J^X_{b\leftarrow a}.
J_{(a_0)}Use in source · 1 passage
Search aliases: J_(a_0)
Use in source · Read passage · 01_finite_coordinates.tex, line 410
[Every finite canonical path telescopes] Let p=(a_0,a_1,…,a_n) be any finite vertex list and put J_p =J_a_n← a_n-1⋯ J_a_1← a_0, J_(a_0)=id. Then J_p=J_a_n← a_0. In particular, if a_n=a_0, then J_p=id. statusleanthreeKomorebi.PaperIII.Transport.pathEndpoint; Komorebi.PaperIII.Transport.exactPathTransport; Komorebi.PaperIII.Transport.exactPathTransport_eq_endpoint; Komorebi.PaperIII.Transport.exactPathTransport_loop
Exact mathematical passage
J_p =J_{a_n\leftarrow a_{n-1}}\cdots J_{a_1\leftarrow a_0}, \qquad J_{(a_0)}=\id.
J_{a_1\leftarrow a_0}Use in source · 1 passage
Search aliases: J_a_1← a_0 leftarrow
Use in source · Read passage · 01_finite_coordinates.tex, line 410
[Every finite canonical path telescopes] Let p=(a_0,a_1,…,a_n) be any finite vertex list and put J_p =J_a_n← a_n-1⋯ J_a_1← a_0, J_(a_0)=id. Then J_p=J_a_n← a_0. In particular, if a_n=a_0, then J_p=id. statusleanthreeKomorebi.PaperIII.Transport.pathEndpoint; Komorebi.PaperIII.Transport.exactPathTransport; Komorebi.PaperIII.Transport.exactPathTransport_eq_endpoint; Komorebi.PaperIII.Transport.exactPathTransport_loop
Exact mathematical passage
J_p =J_{a_n\leftarrow a_{n-1}}\cdots J_{a_1\leftarrow a_0}, \qquad J_{(a_0)}=\id.
J_{a_n\leftarrow a_0}Use in source · 1 passage
Search aliases: J_a_n← a_0 leftarrow
Use in source · Read passage · 01_finite_coordinates.tex, line 417
[Every finite canonical path telescopes] Let p=(a_0,a_1,…,a_n) be any finite vertex list and put J_p =J_a_n← a_n-1⋯ J_a_1← a_0, J_(a_0)=id. Then J_p=J_a_n← a_0. In particular, if a_n=a_0, then J_p=id. statusleanthreeKomorebi.PaperIII.Transport.pathEndpoint; Komorebi.PaperIII.Transport.exactPathTransport; Komorebi.PaperIII.Transport.exactPathTransport_eq_endpoint; Komorebi.PaperIII.Transport.exactPathTransport_loop
Exact mathematical passage
J_p=J_{a_n\leftarrow a_0}.
J_{a_n\leftarrow a_{n-1}}Use in source · 1 passage
Search aliases: J_a_n← a_n-1 leftarrow
Use in source · Read passage · 01_finite_coordinates.tex, line 410
[Every finite canonical path telescopes] Let p=(a_0,a_1,…,a_n) be any finite vertex list and put J_p =J_a_n← a_n-1⋯ J_a_1← a_0, J_(a_0)=id. Then J_p=J_a_n← a_0. In particular, if a_n=a_0, then J_p=id. statusleanthreeKomorebi.PaperIII.Transport.pathEndpoint; Komorebi.PaperIII.Transport.exactPathTransport; Komorebi.PaperIII.Transport.exactPathTransport_eq_endpoint; Komorebi.PaperIII.Transport.exactPathTransport_loop
Exact mathematical passage
J_p =J_{a_n\leftarrow a_{n-1}}\cdots J_{a_1\leftarrow a_0}, \qquad J_{(a_0)}=\id.
J_{a\leftarrow a}Use in source · 1 passage
Search aliases: J_a← a leftarrow
Use in source · Read passage · 01_finite_coordinates.tex, line 389
[Exact frame transport is coherent] For every a,b,c, J_a← a=id, J_a← bJ_b← a=id, J_c← bJ_b← a=J_c← a, and therefore J_a← cJ_c← bJ_b← a=id. statusleanthreeKomorebi.PaperIII.Transport.exactTransport_self; Komorebi.PaperIII.Transport.exactTransport_roundTrip; Komorebi.PaperIII.Transport.exactTransport_cocycle; Komorebi.PaperIII.Transport.exactTransport_triangleLoop
Exact mathematical passage
J_{a\leftarrow a}=\id,\qquad J_{a\leftarrow b}J_{b\leftarrow a}=\id,\qquad J_{c\leftarrow b}J_{b\leftarrow a}=J_{c\leftarrow a},
J_{a\leftarrow b}Use in source · 1 passage
Search aliases: J_a← b leftarrow
Use in source · Read passage · 01_finite_coordinates.tex, line 389
[Exact frame transport is coherent] For every a,b,c, J_a← a=id, J_a← bJ_b← a=id, J_c← bJ_b← a=J_c← a, and therefore J_a← cJ_c← bJ_b← a=id. statusleanthreeKomorebi.PaperIII.Transport.exactTransport_self; Komorebi.PaperIII.Transport.exactTransport_roundTrip; Komorebi.PaperIII.Transport.exactTransport_cocycle; Komorebi.PaperIII.Transport.exactTransport_triangleLoop
Exact mathematical passage
J_{a\leftarrow a}=\id,\qquad J_{a\leftarrow b}J_{b\leftarrow a}=\id,\qquad J_{c\leftarrow b}J_{b\leftarrow a}=J_{c\leftarrow a},
J_{a\leftarrow c}Use in source · 1 passage
Search aliases: J_a← c leftarrow
Use in source · Read passage · 01_finite_coordinates.tex, line 395
[Exact frame transport is coherent] For every a,b,c, J_a← a=id, J_a← bJ_b← a=id, J_c← bJ_b← a=J_c← a, and therefore J_a← cJ_c← bJ_b← a=id. statusleanthreeKomorebi.PaperIII.Transport.exactTransport_self; Komorebi.PaperIII.Transport.exactTransport_roundTrip; Komorebi.PaperIII.Transport.exactTransport_cocycle; Komorebi.PaperIII.Transport.exactTransport_triangleLoop
Exact mathematical passage
J_{a\leftarrow c}J_{c\leftarrow b}J_{b\leftarrow a}=\id.
J_{a\leftarrow o}Use in source · 2 passages
Search aliases: J_a← o leftarrow
Use in source · Read passage · 02_connections_obstructions.tex, line 366
Reversibility gives G_a^-1=J_a← oΓ_o← a. Therefore G_bJ_b← aG_a^-1 · = Γ_b← o J_o← bJ_b← a J_a← o Γ_o← a
Exact mathematical passage
G_a^{-1}=J_{a\leftarrow o}\Gamma_{o\leftarrow a}
J_{c\leftarrow a}Use in source · 1 passage
Search aliases: J_c← a leftarrow
Use in source · Read passage · 01_finite_coordinates.tex, line 389
[Exact frame transport is coherent] For every a,b,c, J_a← a=id, J_a← bJ_b← a=id, J_c← bJ_b← a=J_c← a, and therefore J_a← cJ_c← bJ_b← a=id. statusleanthreeKomorebi.PaperIII.Transport.exactTransport_self; Komorebi.PaperIII.Transport.exactTransport_roundTrip; Komorebi.PaperIII.Transport.exactTransport_cocycle; Komorebi.PaperIII.Transport.exactTransport_triangleLoop
Exact mathematical passage
J_{a\leftarrow a}=\id,\qquad J_{a\leftarrow b}J_{b\leftarrow a}=\id,\qquad J_{c\leftarrow b}J_{b\leftarrow a}=J_{c\leftarrow a},
J_{c\leftarrow b}Use in source · 2 passages
Search aliases: J_c← b leftarrow
Use in source · Read passage · 01_finite_coordinates.tex, line 389
[Exact frame transport is coherent] For every a,b,c, J_a← a=id, J_a← bJ_b← a=id, J_c← bJ_b← a=J_c← a, and therefore J_a← cJ_c← bJ_b← a=id. statusleanthreeKomorebi.PaperIII.Transport.exactTransport_self; Komorebi.PaperIII.Transport.exactTransport_roundTrip; Komorebi.PaperIII.Transport.exactTransport_cocycle; Komorebi.PaperIII.Transport.exactTransport_triangleLoop
Exact mathematical passage
J_{a\leftarrow a}=\id,\qquad J_{a\leftarrow b}J_{b\leftarrow a}=\id,\qquad J_{c\leftarrow b}J_{b\leftarrow a}=J_{c\leftarrow a},
J_{o\leftarrow a}Use in source · 2 passages
Search aliases: J_o← a leftarrow
Use in source · Read passage · 02_connections_obstructions.tex, line 351
[Flat connections are gauges of the canonical pair transport] Suppose the C_a are exact packet coordinate modules for one ambient module, so the canonical J_b← a is available. If Γ is a flat normalized reversible pair connection, choose o∈ B and set G_a=Γ_a← oJ_o← a. Then every pair transport satisfies Γ_b← a =G_bJ_b← aG_a^-1. statusleanthreeKomorebi.PaperIII.Transport.ReversibleConnection.flatGauge; Komorebi.PaperIII.Transport.ReversibleConnection.flat_isGaugeOfCanonical
Exact mathematical passage
G_a=\Gamma_{a\leftarrow o}J_{o\leftarrow a}.
J_{o\leftarrow b}Use in source · 1 passage
Search aliases: J_o← b leftarrow
Use in source · Read passage · 02_connections_obstructions.tex, line 367
Reversibility gives G_a^-1=J_a← oΓ_o← a. Therefore G_bJ_b← aG_a^-1 · = Γ_b← o J_o← bJ_b← a J_a← o Γ_o← a · = Γ_b← oΓ_o← a · = Γ_b← a. The first reduction uses the canonical cocycle twice; the second uses flatness of Γ.
Exact mathematical passage
\begin{aligned} G_bJ_{b\leftarrow a}G_a^{-1} &= \Gamma_{b\leftarrow o} J_{o\leftarrow b}J_{b\leftarrow a} J_{a\leftarrow o} \Gamma_{o\leftarrow a}\\ &= \Gamma_{b\leftarrow o}\Gamma_{o\leftarrow a}\\ &= \Gamma_{b\leftarrow a}. \end{aligned}
J_pUse in source · 3 passages
Search aliases: J_p
Use in source · Read passage · 01_finite_coordinates.tex, line 410
[Every finite canonical path telescopes] Let p=(a_0,a_1,…,a_n) be any finite vertex list and put J_p =J_a_n← a_n-1⋯ J_a_1← a_0, J_(a_0)=id. Then J_p=J_a_n← a_0. In particular, if a_n=a_0, then J_p=id. statusleanthreeKomorebi.PaperIII.Transport.pathEndpoint; Komorebi.PaperIII.Transport.exactPathTransport; Komorebi.PaperIII.Transport.exactPathTransport_eq_endpoint; Komorebi.PaperIII.Transport.exactPathTransport_loop
Exact mathematical passage
J_p =J_{a_n\leftarrow a_{n-1}}\cdots J_{a_1\leftarrow a_0}, \qquad J_{(a_0)}=\id.
J_{\Pcal\leftarrow\Pcal'}Use in source · 1 passage
Search aliases: J_Pcal←Pcal' J_ P← P' Pcal leftarrow Pcal mathcal leftarrow mathcal
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 176
[Change of packet coordinates] Let P and P' be packet systems on X. Let Q and Q' be packet systems on Y. For any two packet systems U and V on the same space, write J_ U← V = A_ U S_ V. Then F_ Q'← P' = J_ Q'← Q F_ Q← P J_ P← P'.
Exact mathematical passage
F_{\Qcal'\leftarrow\Pcal'} = J_{\Qcal'\leftarrow\Qcal} F_{\Qcal\leftarrow\Pcal} J_{\Pcal\leftarrow\Pcal'}.
J_{\Qcal'\leftarrow\Qcal}Use in source · 1 passage
Search aliases: J_Qcal'←Qcal J_ Q'← Q Qcal leftarrow Qcal mathcal leftarrow mathcal
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 176
[Change of packet coordinates] Let P and P' be packet systems on X. Let Q and Q' be packet systems on Y. For any two packet systems U and V on the same space, write J_ U← V = A_ U S_ V. Then F_ Q'← P' = J_ Q'← Q F_ Q← P J_ P← P'.
Exact mathematical passage
F_{\Qcal'\leftarrow\Pcal'} = J_{\Qcal'\leftarrow\Qcal} F_{\Qcal\leftarrow\Pcal} J_{\Pcal\leftarrow\Pcal'}.
J_{\Ucal\leftarrow\Vcal}Use in source · 1 passage
Search aliases: J_Ucal←Vcal J_ U← V Ucal leftarrow Vcal mathcal leftarrow mathcal
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 170
[Change of packet coordinates] Let P and P' be packet systems on X. Let Q and Q' be packet systems on Y. For any two packet systems U and V on the same space, write J_ U← V = A_ U S_ V. Then F_ Q'← P' = J_ Q'← Q F_ Q← P J_ P← P'.
Exact mathematical passage
J_{\Ucal\leftarrow\Vcal} = \Acal_{\Ucal}\Scal_{\Vcal}.
K^*Use in source · 1 passage
Search aliases: K^*
Use in source · Read passage · 04_correction_transport.tex, line 837
Differentiating P_α^2=P_α gives P_αdot P_α P_α=0. Differentiating P_β P_α=0 for α≠β gives P_βdot P_α=-dot P_β P_α. Hence K P_β=dot P_β P_β and P_β K=-dot P_β(I-P_β). Their difference is dot P_β. Also, K+K^* = ∑_α(dot P_α P_α+P_αdot P_α) = ∑_αdot P_α =0. endgroup
Exact mathematical passage
K+K^* = \sum_\alpha(\dot P_\alpha P_\alpha+P_\alpha\dot P_\alpha) = \sum_\alpha\dot P_\alpha =0.
k_1Use in source · 2 passages
Search aliases: k_1
Use in source · Read passage · 04_correction_transport.tex, line 164
[Quadratic reduced obstruction] Assume the hypotheses of [source reference] with r≥2. For k_1,k_2∈ K, D^2κ(0)[k_1,k_2] = π_O D^2F(0)[k_1,k_2].
Exact mathematical passage
k_1,k_2\in K
k_2Use in source · 2 passages
Search aliases: k_2
Use in source · Read passage · 04_correction_transport.tex, line 164
[Quadratic reduced obstruction] Assume the hypotheses of [source reference] with r≥2. For k_1,k_2∈ K, D^2κ(0)[k_1,k_2] = π_O D^2F(0)[k_1,k_2].
Exact mathematical passage
k_1,k_2\in K
\KerUse in source · 19 passages
Search aliases: Ker operatorname
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 26
A linear correction map D:U⟶ V places the obstruction to solving Du=-r in the canonical quotient coker D. This quotient has a universal property and behaves naturally under commuting squares. Mapping cones extend the same construction to cochain complexes. In a Hilbert space with closed range, the quotient is represented by the orthogonal projection onto Ker D^*. The Moore Penrose inverse then gives the least norm correction. Relevant background appears in [source reference].
Exact mathematical passage
\Ker D^*
\kerUse in source · 1 passage
Search aliases: ker
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 214
The range X_α is closed because X_α=ker(I-P_α). It is therefore Banach with its inherited norm. The same holds for every Y_γ. Give the finite product of ranges the maximum norm. Packet analysis and synthesis are bounded, since they are formed from finitely many bounded projectors and a finite sum. Their algebraic inverse identities from [source reference] make them bounded linear isomorphisms. For a nonempty input family, A_ P ≤max_α P_α and S_ P ≤ |I|. An empty complete family can occur only on…
Exact mathematical passage
X_\alpha=\ker(I-P_\alpha)
L_1Use in source · 3 passages
Search aliases: L_1
Use in source · Read passage · 04_correction_transport.tex, line 122
[Local Lyapunov Schmidt reduction] Let U⊆ X be an open neighborhood of zero and let F: U→ Y be a C^r map between Banach spaces with r≥1, F(0)=0, and L=DF(0). Assume there are closed decompositions X=K⊕ X_1, Y=R⊕ O, where K=Ker L, R=im L, and L_1=L|_X_1:X_1⟶ R is a Banach space isomorphism. Let π_R and π_O be the two projections on Y. Then there are neighborhoods U_K⊆ K and U_1⊆ X_1 of zero and a unique C^r map ψ:U_K⟶ U_1 with ψ(0)=0 such that π_RF(k+ψ(k))=0 for every k∈ U_K. After the neighborho…
Exact mathematical passage
L_1=L|_{X_1}:X_1\longrightarrow R
L_fUse in source · 17 passages
Search aliases: L_f
Use in source · Read passage · 01_finite_coordinates.tex, line 85
Words are written in execution order. In L_fL_e, the rightmost operator L_e acts first. For a written word (e_1,…,e_n), e_1 acts first and the operator product is L_e_n⋯ L_e_1.
Exact mathematical passage
L_fL_e
L_mUse in source · 4 passages
Search aliases: L_m
Use in source · Read passage · 04_correction_transport.tex, line 217
Suppose x_m satisfies Φ(x_m)∈ F^mY. Assume that corrections h∈ F^mX obey a first order congruence Φ(x_m+h) ≡ Φ(x_m)+L_mh pmodF^m+1Y, where L_m:F^mX→ F^mY is a module homomorphism satisfying L_m(F^m+1X)⊆ F^m+1Y and therefore induces overline L_m: F^mX/F^m+1X ⟶ F^mY/F^m+1Y.
Exact mathematical passage
\Phi(x_m+h) \equiv \Phi(x_m)+L_mh \pmod{F^{m+1}Y},
L_m'Use in source · 1 passage
Search aliases: L_m'
Use in source · Read passage · 04_correction_transport.tex, line 364
[Naturality of filtered obstructions] Suppose a morphism of filtered lifting problems sends x_m to x_m', intertwines L_m with L_m', and sends Φ(x_m) to Φ'(x_m') on the associated graded pieces. Then the induced cokernel map sends Ob_m(x_m) to Ob_m'(x_m').
Exact mathematical passage
L_m'
L_\inftyUse in source · 1 passage
Search aliases: L_∞ infty
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 645
[Packet equations for L_∞ operations] Let L be complete and carry operations ℓ_r that respect a finite abelian group grading. Assume the packet projectors are continuous for the topology in which the series below converges. Assume the Maurer Cartan series ∑_r≥1frac1r!ℓ_r(η,…,η) converges and the required factorials are invertible. Then its packet of label k is ∑_r≥1frac1r! ∑_g_1+⋯+g_r=k ℓ_r(η_g_1,…,η_g_r). The full Maurer Cartan equation holds if and only if every packet equation vanishes.
Exact mathematical passage
L_\infty
\LcalUse in source · 13 passages
Search aliases: Lcal L mathcal
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 615
[Packet Maurer Cartan equations] Let L=⊕_g∈ G L_g be a differential graded Lie algebra over a ring in which two is invertible. Assume d L_g⊆ L_g, [ L_g, L_h]⊆ L_g+h. For a degree one element η=∑_gη_g, the Maurer Cartan equation dη+frac12[η,η]=0 is equivalent to dη_k + frac12 ∑_g+h=k[η_g,η_h] =0 for every k∈ G.
Exact mathematical passage
\Lcal=\bigoplus_{g\in G}\Lcal_g
\Lcal^1Use in source · 2 passages
Search aliases: Lcal^1 L^1 Lcal mathcal
Use in source · Read passage · 04_correction_transport.tex, line 395
lifting obstruction] Let L be a complete filtered differential graded Lie algebra over a ring in which two is invertible. Assume dF^i L⊆ F^i L, [F^i L,F^j L]⊆ F^i+j L. For a degree one element η, put Ω(η)=dη+frac12[η,η]. Suppose Ω(η)∈ F^m L^2 with m≥1. For every h∈ F^m L^1, Ω(η+h) ≡ Ω(η)+d_η h pmodF^m+1 L^2, d_η=d+[η,mathord·]. The obstruction to improving η by one depth is therefore the class of Ω(η) in the cokernel of gr^m(d_η): gr^m L^1 ⟶ gr^m L^2.
Exact mathematical passage
h\in F^m\Lcal^1
\Lcal^2Use in source · 5 passages
Search aliases: Lcal^2 L^2 Lcal mathcal
Use in source · Read passage · 04_correction_transport.tex, line 395
[Maurer Cartan lifting obstruction] Let L be a complete filtered differential graded Lie algebra over a ring in which two is invertible. Assume dF^i L⊆ F^i L, [F^i L,F^j L]⊆ F^i+j L. For a degree one element η, put Ω(η)=dη+frac12[η,η]. Suppose Ω(η)∈ F^m L^2 with m≥1. For every h∈ F^m L^1, Ω(η+h) ≡ Ω(η)+d_η h pmodF^m+1 L^2, d_η=d+[η,mathord·]. The obstruction to improving η by one depth is therefore the class of Ω(η) in the cokernel of gr^m(d_η): gr^m L^1 ⟶ gr^m L^2.
Exact mathematical passage
\Omega(\eta)\in F^m\Lcal^2
\Lcal_{2g}Use in source · 1 passage
Search aliases: Lcal_2g L_2g Lcal mathcal
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 674
[Divided square packet equations] Assume q( L_g)⊆ L_2g. Choose an ordering of the finite label set. The equation dη+q(η)=0 is equivalent to dη_k + ∑_2g=kq(η_g) + ∑_substackg<h
Exact mathematical passage
q(\Lcal_g)\subseteq\Lcal_{2g}
\Lcal_gUse in source · 3 passages
Search aliases: Lcal_g L_g Lcal mathcal
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 615
[Packet Maurer Cartan equations] Let L=⊕_g∈ G L_g be a differential graded Lie algebra over a ring in which two is invertible. Assume d L_g⊆ L_g, [ L_g, L_h]⊆ L_g+h. For a degree one element η=∑_gη_g, the Maurer Cartan equation dη+frac12[η,η]=0 is equivalent to dη_k + frac12 ∑_g+h=k[η_g,η_h] =0 for every k∈ G.
Exact mathematical passage
\Lcal=\bigoplus_{g\in G}\Lcal_g
\Lcal_{g+h}Use in source · 1 passage
Search aliases: Lcal_g+h L_g+h Lcal mathcal
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 619
[Packet Maurer Cartan equations] Let L=⊕_g∈ G L_g be a differential graded Lie algebra over a ring in which two is invertible. Assume d L_g⊆ L_g, [ L_g, L_h]⊆ L_g+h. For a degree one element η=∑_gη_g, the Maurer Cartan equation dη+frac12[η,η]=0 is equivalent to dη_k + frac12 ∑_g+h=k[η_g,η_h] =0 for every k∈ G.
Exact mathematical passage
d\Lcal_g\subseteq\Lcal_g, \qquad [\Lcal_g,\Lcal_h]\subseteq\Lcal_{g+h}.
\Lcal_hUse in source · 1 passage
Search aliases: Lcal_h L_h Lcal mathcal
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 619
[Packet Maurer Cartan equations] Let L=⊕_g∈ G L_g be a differential graded Lie algebra over a ring in which two is invertible. Assume d L_g⊆ L_g, [ L_g, L_h]⊆ L_g+h. For a degree one element η=∑_gη_g, the Maurer Cartan equation dη+frac12[η,η]=0 is equivalent to dη_k + frac12 ∑_g+h=k[η_g,η_h] =0 for every k∈ G.
Exact mathematical passage
d\Lcal_g\subseteq\Lcal_g, \qquad [\Lcal_g,\Lcal_h]\subseteq\Lcal_{g+h}.
\Lcal_kUse in source · 1 passage
Search aliases: Lcal_k L_k Lcal mathcal
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 640
The differential preserves the group label and the bracket adds labels. Apply the projector onto L_k and use exact reconstruction.
Exact mathematical passage
\Lcal_k
\LongrightarrowUse in source · 2 passages
Search aliases: Longrightarrow
Use in source · Read passage · 04_correction_transport.tex, line 205
Let X and Y be modules with decreasing filtrations X=F^0X⊇ F^1X⊇⋯, Y=F^0Y⊇ F^1Y⊇⋯. Assume both are separated and complete for their filtration topologies. Let Φ:X→ Y be continuous and filtration congruence preserving in the sense that h∈ F^mX Longrightarrow Φ(x+h)-Φ(x)∈ F^mY for every x∈ X and every m. This condition makes the statement Φ(x)∈ F^mY depend only on the class of x modulo F^mX.
Exact mathematical passage
h\in F^mX \quad\Longrightarrow\quad \Phi(x+h)-\Phi(x)\in F^mY
M^kUse in source · 2 passages
Search aliases: M^k
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 378
[Number of labeled composition terms] For n≥1, if Y has M packets, then the number of packet labeled terms at order n before zero jets are removed is N_n,M = ∑_k=1^nS(n,k)M^k, where S(n,k) is a Stirling number of the second kind. Thus N_n,M is the nth Touchard polynomial evaluated at M.
Exact mathematical passage
N_{n,M} = \sum_{k=1}^{n}S(n,k)M^k,
M_2Use in source · 3 passages
Search aliases: M_2
Use in source · visual_atlas.tex, line 87
vpage5Coefficients need not commuteMODEL A / A MATRIX RING AS THE COEFFICIENT SEMIRINGTraditional paper: Lemma 3.7 (p. 5), Section 9 (p. 20) The edge theorem allows a noncommutative coefficient semiring. Use R=M_2(QQ) and let the two coefficients themselves be matrices: A=mat1 · 1
Exact mathematical passage
R=M_2(\QQ)
M_NUse in source · 1 passage
Search aliases: M_N
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 704
[Matrix difference grading] Let A=M_N(𝕜) and assign the matrix unit E_rs the label r-s modulo N. Since E_rsE_uv=δ_suE_rv, the output label is (r-s)+(u-v)=r-v whenever the product is nonzero. Matrix multiplication therefore obeys the cyclic convolution law exactly. The same grading resolves commutators and polynomial matrix equations.
Exact mathematical passage
A=M_N(\bbk)
\matUse in source · 11 passages
Search aliases: mat
Use in source · visual_atlas.tex, line 76
The surviving words are ac,bc,cd,da,db. Their coefficients are 6,-3,3,2,-1, respectively. Their endpoints determine where these numbers enter the matrix: T=mat0 · 0 · 1 1 · 0 · 0 0 · 3 · 0, T^2=mat0 · 3 · 0 0 · 0 · 1 3 · 0 · 0. At row 2, column 0, the two parallel choices give 6-3=3. Deduplicating the edge labels before summing would alter the operator. On the other hand, adding the parallel coefficients in the already assembled matrix is legitimate: both act in the same supported matrix positio…
Exact mathematical passage
T=\mat{0&0&1\\1&0&0\\0&3&0},\qquad T^2=\mat{0&3&0\\0&0&1\\3&0&0}.
\mathllapUse in source · 2 passages
Search aliases: mathllap
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 953
[Naturality of obstruction classes] Suppose ccc U · xrightarrowD · V mathllapadownarrow · · downarrowmathrlapb U' · xrightarrowD' · V' is a commuting square. Then there is a unique induced map overline b:coker D⟶coker D' satisfying overline b Ob_D(r)=Ob_D'(br).
Exact mathematical passage
\begin{array}{ccc} U & \xrightarrow{D} & V\\ \mathllap{a}\downarrow & & \downarrow\mathrlap{b}\\ U' & \xrightarrow{D'} & V' \end{array}
\mathordUse in source · 1 passage
Search aliases: mathord
Use in source · Read passage · 04_correction_transport.tex, line 396
Let L be a complete filtered differential graded Lie algebra over a ring in which two is invertible. Assume dF^i L⊆ F^i L, [F^i L,F^j L]⊆ F^i+j L. For a degree one element η, put Ω(η)=dη+frac12[η,η]. Suppose Ω(η)∈ F^m L^2 with m≥1. For every h∈ F^m L^1, Ω(η+h) ≡ Ω(η)+d_η h pmodF^m+1 L^2, d_η=d+[η,mathord·]. The obstruction to improving η by one depth is therefore the class of Ω(η) in the cokernel of gr^m(d_η): gr^m L^1 ⟶ gr^m L^2.
Exact mathematical passage
\Omega(\eta+h) \equiv \Omega(\eta)+d_\eta h \pmod{F^{m+1}\Lcal^2}, \qquad d_\eta=d+[\eta,\mathord\cdot].
\mathrlapUse in source · 1 passage
Search aliases: mathrlap
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 953
[Naturality of obstruction classes] Suppose ccc U · xrightarrowD · V mathllapadownarrow · · downarrowmathrlapb U' · xrightarrowD' · V' is a commuting square. Then there is a unique induced map overline b:coker D⟶coker D' satisfying overline b Ob_D(r)=Ob_D'(br).
Exact mathematical passage
\begin{array}{ccc} U & \xrightarrow{D} & V\\ \mathllap{a}\downarrow & & \downarrow\mathrlap{b}\\ U' & \xrightarrow{D'} & V' \end{array}
\maxUse in source · 3 passages
Search aliases: max
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 215
It is therefore Banach with its inherited norm. The same holds for every Y_γ. Give the finite product of ranges the maximum norm. Packet analysis and synthesis are bounded, since they are formed from finitely many bounded projectors and a finite sum. Their algebraic inverse identities from [source reference] make them bounded linear isomorphisms. For a nonempty input family, A_ P ≤max_α P_α and S_ P ≤ |I|. An empty complete family can occur only on the zero space. Its coordinate product is the z…
Exact mathematical passage
\|\Acal_{\Pcal}\|\le\max_\alpha\|P_\alpha\|
\max_\alphaUse in source · 1 passage
Search aliases: max_α max alpha
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 215
It is therefore Banach with its inherited norm. The same holds for every Y_γ. Give the finite product of ranges the maximum norm. Packet analysis and synthesis are bounded, since they are formed from finitely many bounded projectors and a finite sum. Their algebraic inverse identities from [source reference] make them bounded linear isomorphisms. For a nonempty input family, A_ P ≤max_α P_α and S_ P ≤ |I|. An empty complete family can occur only on the zero space. Its coordinate product is the z…
Exact mathematical passage
\|\Acal_{\Pcal}\|\le\max_\alpha\|P_\alpha\|
NUse in source · 16 passages
Search aliases: N
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 378
[Number of labeled composition terms] For n≥1, if Y has M packets, then the number of packet labeled terms at order n before zero jets are removed is N_n,M = ∑_k=1^nS(n,k)M^k, where S(n,k) is a Stirling number of the second kind. Thus N_n,M is the nth Touchard polynomial evaluated at M.
Exact mathematical passage
N_{n,M} = \sum_{k=1}^{n}S(n,k)M^k,
N_{n,M}Use in source · 2 passages
Search aliases: N_n,M
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 378
[Number of labeled composition terms] For n≥1, if Y has M packets, then the number of packet labeled terms at order n before zero jets are removed is N_n,M = ∑_k=1^nS(n,k)M^k, where S(n,k) is a Stirling number of the second kind. Thus N_n,M is the nth Touchard polynomial evaluated at M.
Exact mathematical passage
N_{n,M} = \sum_{k=1}^{n}S(n,k)M^k,
\negUse in source · 2 passages
Search aliases: neg
Use in source · Read passage · 02_connections_obstructions.tex, line 422
[Exact logical force of a local obstruction] Every obstruction packet for x proves that x is not a solution, and negIsSolution_r(x) Longleftrightarrow there exists an obstruction packet for x. The reverse implication from failure to a packet witness is classical and does not require the packet type to be finite. statusleanthreeKomorebi.PaperIII.NonlinearObstructions.ObstructionPacket.not_isSolution; Komorebi.PaperIII.NonlinearObstructions.obstructionPacket_of_not_isSolution; Komorebi.PaperIII.No…
Exact mathematical passage
\neg\operatorname{IsSolution}_r(x) \quad\Longleftrightarrow\quad \text{there exists an obstruction packet for }x.
OUse in source · 7 passages
Search aliases: O
Use in source · Read passage · 04_correction_transport.tex, line 116
[Local Lyapunov Schmidt reduction] Let U⊆ X be an open neighborhood of zero and let F: U→ Y be a C^r map between Banach spaces with r≥1, F(0)=0, and L=DF(0). Assume there are closed decompositions X=K⊕ X_1, Y=R⊕ O, where K=Ker L, R=im L, and L_1=L|_X_1:X_1⟶ R is a Banach space isomorphism. Let π_R and π_O be the two projections on Y. Then there are neighborhoods U_K⊆ K and U_1⊆ X_1 of zero and a unique C^r map ψ:U_K⟶ U_1 with ψ(0)=0 such that π_RF(k+ψ(k))=0 for every k∈ U_K. After the neighborho…
Exact mathematical passage
X=K\oplus X_1, \qquad Y=R\oplus O,
oUse in source · 7 passages
Search aliases: o
Use in source · Read passage · 02_connections_obstructions.tex, line 350
[Flat connections are gauges of the canonical pair transport] Suppose the C_a are exact packet coordinate modules for one ambient module, so the canonical J_b← a is available. If Γ is a flat normalized reversible pair connection, choose o∈ B and set G_a=Γ_a← oJ_o← a. Then every pair transport satisfies Γ_b← a =G_bJ_b← aG_a^-1. statusleanthreeKomorebi.PaperIII.Transport.ReversibleConnection.flatGauge; Komorebi.PaperIII.Transport.ReversibleConnection.flat_isGaugeOfCanonical
Exact mathematical passage
o\in B
\mathrm{ob}Use in source · 3 passages
Search aliases: ob mathrm
Use in source · Read passage · 04_correction_transport.tex, line 7
[Orthogonal obstruction projector] Let D:H_1→ H_2 be a bounded operator between Hilbert spaces with closed range. Let D^† be its Moore Penrose inverse. Then P_ob=I_H_2-DD^† is the orthogonal projector onto (im D)^⊥=Ker D^*. For r∈ H_2, the following are equivalent: item Du=-r is solvable item [r]=0 in coker D item P_obr=0. When these conditions hold, -D^† r is the least norm correction. For every r, dist(r,im D)= P_obr .
Exact mathematical passage
P_{\mathrm{ob}}=I_{H_2}-DD^\dagger
\Ob^GUse in source · 2 passages
Search aliases: Ob^G Ob operatorname
Use in source · Read passage · 02_connections_obstructions.tex, line 576
[Gauge covariance when packet projectors are preserved] If G_aΠ^a_μ=Π^a_μ G_a for every μ, then (Ob^G)^μν = G_aOb^μνG_a^-1. Consequently the zero/nonzero status of each obstruction block is preserved by gauges that preserve the packet projectors. statusleanthreeKomorebi.PaperIII.HolonomyBlocks.obstructionBlock_gauge_of_commutes; Komorebi.PaperIII.HolonomyBlocks.obstructionBlock_gauge_eq_zero_iff
Exact mathematical passage
\left(\Ob^G\right)^{\mu\nu} = G_a\Ob^{\mu\nu}G_a^{-1}.
\Ob^{\mu\nu}Use in source · 1 passage
Search aliases: Ob^μν Ob mu nu operatorname mu nu
Use in source · Read passage · 02_connections_obstructions.tex, line 576
[Gauge covariance when packet projectors are preserved] If G_aΠ^a_μ=Π^a_μ G_a for every μ, then (Ob^G)^μν = G_aOb^μνG_a^-1. Consequently the zero/nonzero status of each obstruction block is preserved by gauges that preserve the packet projectors. statusleanthreeKomorebi.PaperIII.HolonomyBlocks.obstructionBlock_gauge_of_commutes; Komorebi.PaperIII.HolonomyBlocks.obstructionBlock_gauge_eq_zero_iff
Exact mathematical passage
\left(\Ob^G\right)^{\mu\nu} = G_a\Ob^{\mu\nu}G_a^{-1}.
\Ob_{D'}Use in source · 1 passage
Search aliases: Ob_D' Ob operatorname
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 965
U' · xrightarrowD' · V' is a commuting square. Then there is a unique induced map overline b:coker D⟶coker D' satisfying overline b Ob_D(r)=Ob_D'(br).
Exact mathematical passage
\overline b\,\Ob_D(r)=\Ob_{D'}(br).
\Ob_m'Use in source · 1 passage
Search aliases: Ob_m' Ob operatorname
Use in source · Read passage · 04_correction_transport.tex, line 365
[Naturality of filtered obstructions] Suppose a morphism of filtered lifting problems sends x_m to x_m', intertwines L_m with L_m', and sends Φ(x_m) to Φ'(x_m') on the associated graded pieces. Then the induced cokernel map sends Ob_m(x_m) to Ob_m'(x_m').
Exact mathematical passage
\Ob_m(x_m) \quad\text{to}\quad \Ob_m'(x_m').
\overline BUse in source · 5 passages
Search aliases: overline B overline
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 455
[Polynomial tree expansion] Suppose there is R>0 such that ϕ(R)≤ R and q= ∑_r=2^dr b_rR^r-1<1. Then the map Φ(x)=s+∑_r=2^dB_r(x,…,x) has a unique fixed point in the closed ball overline B_R(0). The sum of the values of all finite ordered rooted trees converges absolutely to that fixed point.
Exact mathematical passage
\overline B_R(0)
\overline bUse in source · 2 passages
Search aliases: overline b overline
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 961
U' · xrightarrowD' · V' is a commuting square. Then there is a unique induced map overline b:coker D⟶coker D' satisfying overline b Ob_D(r)=Ob_D'(br).
Exact mathematical passage
\overline b:\coker D\longrightarrow\coker D'
\overline B_RUse in source · 2 passages
Search aliases: overline B_R overline
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 455
[Polynomial tree expansion] Suppose there is R>0 such that ϕ(R)≤ R and q= ∑_r=2^dr b_rR^r-1<1. Then the map Φ(x)=s+∑_r=2^dB_r(x,…,x) has a unique fixed point in the closed ball overline B_R(0). The sum of the values of all finite ordered rooted trees converges absolutely to that fixed point.
Exact mathematical passage
\overline B_R(0)
\overline B_\rhoUse in source · 3 passages
Search aliases: overline B_ρ overline rho
Use in source · Read passage · 04_correction_transport.tex, line 44
[Right inverse correction theorem] Let D:X→ Y be a bounded linear map between Banach spaces. Assume Z=im D is closed and there is a bounded linear right inverse R:Z⟶ X, DR=I_Z. Put X_R=R(Z). Let N:overline B_ρ(0)∩ X_R⟶ Z be L Lipschitz. Let y∈ Z and put q= R L. Assume q<1 and R(y-N(0)) ≤ (1-q)ρ. Then the equation Dx+N(x)=y has a unique solution in overline B_ρ(0)∩ X_R.
Exact mathematical passage
N:\overline B_\rho(0)\cap X_R\longrightarrow Z
\overline QUse in source · 3 passages
Search aliases: overline Q overline
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 1015
[Projectors on the obstruction quotient] Let (Q_α)_α∈ I be a complete family of pairwise annihilating idempotents on V. Assume Q_α(im D)⊆im D for every α. Then each Q_α induces an idempotent overline Q_α on coker D, and coker D = ⊕_α∈ Ioverline Q_α(coker D). For every defect r∈ V, overline Q_αOb_D(r) = [Q_α r]. No packet decomposition of the correction space U is required.
Exact mathematical passage
\overline Q_\alpha
\overline Q_\alphaUse in source · 3 passages
Search aliases: overline Q_α overline alpha
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 1015
[Projectors on the obstruction quotient] Let (Q_α)_α∈ I be a complete family of pairwise annihilating idempotents on V. Assume Q_α(im D)⊆im D for every α. Then each Q_α induces an idempotent overline Q_α on coker D, and coker D = ⊕_α∈ Ioverline Q_α(coker D). For every defect r∈ V, overline Q_αOb_D(r) = [Q_α r]. No packet decomposition of the correction space U is required.
Exact mathematical passage
\overline Q_\alpha
\overline\varphiUse in source · 2 passages
Search aliases: overlineφ overline varphi
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 927
[Cokernel obstruction criterion] A linear correction exists if and only if Ob_D(r)=0. The quotient map q_D:V⟶coker D has the following universal property. If φ:V→ W is linear and φ D=0, then there is a unique linear map overlineφ:coker D⟶ W with φ=overlineφ q_D.
Exact mathematical passage
\overline\varphi:\coker D\longrightarrow W
P'Use in source · 1 passage
Search aliases: P'
Use in source · Read passage · 04_correction_transport.tex, line 1051
[htbp] centering includegraphics[width=.96linewidth]rotating_projector_transport.pdf captionA rotating rank one packet and its orthogonal complement. With u(θ)=(cosθ,sinθ) and P(θ)=u(θ)u(θ)^ T, the canonical generator is [P',P]=(0 · -1 1 · 0). For a positive step δ<π/2, the polar unitary is the usual rotation R(δ). On each displayed mesh, the direct rotation product equals R(π/3) exactly. This special planar example illustrates the construction. The general theorem supplies convergence for famil…
Exact mathematical passage
[P',P]=\bigl(\begin{smallmatrix}0&-1\\1&0\end{smallmatrix}\bigr)
P^a_iUse in source · 4 passages
Search aliases: P^a_i
Use in source · Read passage · 01_finite_coordinates.tex, line 434
The graph model above resolves a fixed scalar matrix. Coordinate transport is a separate construction. Let X be an R-module, and let P^a=(P^a_i)_i∈ I_a be a finite complete family of pairwise orthogonal linear idempotents: P^a_iP^a_j=δ_ijP^a_i, ∑_i∈ I_aP^a_i=I_X. Define the exact packet coordinate module Coord( P^a) = {(x_i)_i∈ I_a:P^a_ix_i=x_i}. Its analysis and synthesis maps are A_a(x)=(P^a_ix)_i, S_a((x_i)_i)=∑_ix_i. Completeness and orthogonality give S_a A_a=id_X, A_a S_a=id_Coord( P^a).
Exact mathematical passage
\cP^a=(P^a_i)_{i\in I_a}
P^a_jUse in source · 1 passage
Search aliases: P^a_j
Use in source · Read passage · 01_finite_coordinates.tex, line 438
The graph model above resolves a fixed scalar matrix. Coordinate transport is a separate construction. Let X be an R-module, and let P^a=(P^a_i)_i∈ I_a be a finite complete family of pairwise orthogonal linear idempotents: P^a_iP^a_j=δ_ijP^a_i, ∑_i∈ I_aP^a_i=I_X. Define the exact packet coordinate module Coord( P^a) = {(x_i)_i∈ I_a:P^a_ix_i=x_i}. Its analysis and synthesis maps are A_a(x)=(P^a_ix)_i, S_a((x_i)_i)=∑_ix_i. Completeness and orthogonality give S_a A_a=id_X, A_a S_a=id_Coord( P^a).
Exact mathematical passage
P^a_iP^a_j=\delta_{ij}P^a_i, \qquad \sum_{i\in I_a}P^a_i=I_X.
P^v_iUse in source · 2 passages
Search aliases: P^v_i
Use in source · Read passage · 02_connections_obstructions.tex, line 859
Suppose every X_v has a finite complete packet family (P^v_i)_i∈ I_v. A packet labeling assigns an admissible packet index to each edge or node of a typed tree. For multilinear Φ_σ, inserting id_X_v=∑_i∈ I_vP^v_i at every input and output yields a finite sum over trees with packet labels. This is the branching analogue of inserting intermediate projectors in [source reference].
Exact mathematical passage
(P^v_i)_{i\in I_v}
P_0Use in source · 7 passages
Search aliases: P_0
Use in source · visual_atlas.tex, line 351
vpage16Resolve the entire obstructionMODEL F / PACKET BLOCKS FROM INPUT TO OUTPUTTraditional paper: Theorem 7.5 (p. 17), Corollary 7.6 (p. 18) Use three coordinate packets with projectors P_0,P_1,P_2, and set H=I+2E_01+3E_12, Ob=H-I. Here H is invertible, so it can be the loop product of a reversible connection on three charts. Its entries outside the diagonal encode two effects that mix packets.
Exact mathematical passage
P_0,P_1,P_2
P_1Use in source · 7 passages
Search aliases: P_1
Use in source · visual_atlas.tex, line 351
vpage16Resolve the entire obstructionMODEL F / PACKET BLOCKS FROM INPUT TO OUTPUTTraditional paper: Theorem 7.5 (p. 17), Corollary 7.6 (p. 18) Use three coordinate packets with projectors P_0,P_1,P_2, and set H=I+2E_01+3E_12, Ob=H-I. Here H is invertible, so it can be the loop product of a reversible connection on three charts. Its entries outside the diagonal encode two effects that mix packets.
Exact mathematical passage
P_0,P_1,P_2
P_2Use in source · 2 passages
Search aliases: P_2
Use in source · visual_atlas.tex, line 351
vpage16Resolve the entire obstructionMODEL F / PACKET BLOCKS FROM INPUT TO OUTPUTTraditional paper: Theorem 7.5 (p. 17), Corollary 7.6 (p. 18) Use three coordinate packets with projectors P_0,P_1,P_2, and set H=I+2E_01+3E_12, Ob=H-I. Here H is invertible, so it can be the loop product of a reversible connection on three charts. Its entries outside the diagonal encode two effects that mix packets.
Exact mathematical passage
P_0,P_1,P_2
P_iUse in source · 4 passages
Search aliases: P_i
Use in source · visual_atlas.tex, line 411
-1 · 1. For example, the original (0,0) block vanishes, while the new (0,0) block relative to the old coordinate projectors does not. This is why the theorem about preservation of each block's zero status requires G P_i=P_iG.
Exact mathematical passage
G P_i=P_iG
P_jUse in source · 1 passage
Search aliases: P_j
Use in source · visual_atlas.tex, line 415
headTransporting the packet frame as well Define Q_i=GP_iG^-1. Then the identities cancel exactly: Q_i(GOb G^-1)Q_j=G(P_iOb P_j)G^-1. Relative to these transported packets, the corresponding labeled blocks again have matching vanishing status. These are the same oblique projectors displayed on V17. One must distinguish moving the operator alone in a fixed resolution from moving the entire resolved description.
Exact mathematical passage
Q_i(G\Ob G^{-1})Q_j=G(P_i\Ob P_j)G^{-1}.
P_kUse in source · 2 passages
Search aliases: P_k
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 583
[Graded packet convolution] If a_j=∑_g∈ Ga_j,g and μ respects the grading, then P_kμ(a_1,…,a_r) = ∑_g_1+⋯+g_r=k μ(a_1,g_1,…,a_r,g_r).
Exact mathematical passage
P_k\mu(a_1,\ldots,a_r) = \sum_{g_1+\cdots+g_r=k} \mu(a_{1,g_1},\ldots,a_{r,g_r}).
P_{\mathrm{ob}}Use in source · 3 passages
Search aliases: P_ob mathrm
Use in source · Read passage · 04_correction_transport.tex, line 7
[Orthogonal obstruction projector] Let D:H_1→ H_2 be a bounded operator between Hilbert spaces with closed range. Let D^† be its Moore Penrose inverse. Then P_ob=I_H_2-DD^† is the orthogonal projector onto (im D)^⊥=Ker D^*. For r∈ H_2, the following are equivalent: item Du=-r is solvable item [r]=0 in coker D item P_obr=0. When these conditions hold, -D^† r is the least norm correction. For every r, dist(r,im D)= P_obr .
Exact mathematical passage
P_{\mathrm{ob}}=I_{H_2}-DD^\dagger
p_UUse in source · 4 passages
Search aliases: p_U
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 1044
[Relative obstruction exact sequence] Suppose the following diagram of modules commutes and has exact rows: ccccccccc 0 · ⟶ · U_0 · xrightarrowi_U · U_f · xrightarrowp_U · U_c · ⟶ · 0 [4pt] · · mathllapD_0downarrow · · mathllapD_fdownarrow · · mathllapD_cdownarrow · · [4pt] 0 · ⟶ · V_0 · xrightarrowi_V · V_f · xrightarrowp_V · V_c · ⟶ · 0. There is a natural exact sequence 0 · ⟶Ker D_0 ⟶Ker D_f ⟶Ker D_c xrightarrowδcoker D_0
Exact mathematical passage
\begin{array}{ccccccccc} 0&\longrightarrow&U_0&\xrightarrow{i_U}&U_f&\xrightarrow{p_U}&U_c&\longrightarrow&0\\[4pt] &&\mathllap{D_0}\downarrow&&\mathllap{D_f}\downarrow&&\mathllap{D_c}\downarrow&&\\[4pt] 0&\longrightarrow&V_0&\xrightarrow{i_V}&V_f&\xrightarrow{p_V}&V_c&\longrightarrow&0. \end{array}
p_VUse in source · 7 passages
Search aliases: p_V
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 1044
[Relative obstruction exact sequence] Suppose the following diagram of modules commutes and has exact rows: ccccccccc 0 · ⟶ · U_0 · xrightarrowi_U · U_f · xrightarrowp_U · U_c · ⟶ · 0 [4pt] · · mathllapD_0downarrow · · mathllapD_fdownarrow · · mathllapD_cdownarrow · · [4pt] 0 · ⟶ · V_0 · xrightarrowi_V · V_f · xrightarrowp_V · V_c · ⟶ · 0. There is a natural exact sequence 0 · ⟶Ker D_0 ⟶Ker D_f ⟶Ker D_c xrightarrowδcoker D_0
Exact mathematical passage
\begin{array}{ccccccccc} 0&\longrightarrow&U_0&\xrightarrow{i_U}&U_f&\xrightarrow{p_U}&U_c&\longrightarrow&0\\[4pt] &&\mathllap{D_0}\downarrow&&\mathllap{D_f}\downarrow&&\mathllap{D_c}\downarrow&&\\[4pt] 0&\longrightarrow&V_0&\xrightarrow{i_V}&V_f&\xrightarrow{p_V}&V_c&\longrightarrow&0. \end{array}
P_\alpha^2Use in source · 1 passage
Search aliases: P_α^2 alpha
Use in source · Read passage · 04_correction_transport.tex, line 820
Differentiating P_α^2=P_α gives P_αdot P_α P_α=0. Differentiating P_β P_α=0 for α≠β gives P_βdot P_α=-dot P_β P_α. Hence K P_β=dot P_β P_β and P_β K=-dot P_β(I-P_β). Their difference is dot P_β. Also, K+K^* = ∑_α(dot P_α P_α+P_αdot P_α) = ∑_αdot P_α =0. endgroup
Exact mathematical passage
P_\alpha^2=P_\alpha
P_{\alpha_1}Use in source · 2 passages
Search aliases: P_α_1 alpha
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 236
[Exact reconstruction of derivatives] For h_1,…,h_r∈ X, D^rF(x)[h_1,…,h_r] = ∑_γ ∑_α_1,…,α_r J^r_γmidα_1,…,α_rF(x) [P_α_1h_1,…,P_α_rh_r].
Exact mathematical passage
D^rF(x)[h_1,\ldots,h_r] = \sum_{\gamma} \sum_{\alpha_1,\ldots,\alpha_r} J^{r}_{\gamma\mid\alpha_1,\ldots,\alpha_r}F(x) [P_{\alpha_1}h_1,\ldots,P_{\alpha_r}h_r].
P_{\alpha_j}Use in source · 4 passages
Search aliases: P_α_j alpha
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 264
[Jet norm bound] Give every packet range its inherited subspace norm. The restricted jet satisfies the sharper estimate J^r_γmidα_1,…,α_rF(x) ≤ Q_γ D^rF(x) . Its ambient extension inserts P_α_j in the jth slot and has norm at most Q_γ D^rF(x) ∏_j P_α_j . Consequently the operator norm of the restricted packet jet also satisfies J^r_γmidα_1,…,α_rF(x) ≤ Q_γ D^rF(x) ∏_j=1^r P_α_j . When all packets are orthogonal projections on Hilbert spaces, every nonzero projector has norm one and the bound redu…
Exact mathematical passage
P_{\alpha_j}
P_{\alpha_r}Use in source · 2 passages
Search aliases: P_α_r alpha
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 236
[Exact reconstruction of derivatives] For h_1,…,h_r∈ X, D^rF(x)[h_1,…,h_r] = ∑_γ ∑_α_1,…,α_r J^r_γmidα_1,…,α_rF(x) [P_α_1h_1,…,P_α_rh_r].
Exact mathematical passage
D^rF(x)[h_1,\ldots,h_r] = \sum_{\gamma} \sum_{\alpha_1,\ldots,\alpha_r} J^{r}_{\gamma\mid\alpha_1,\ldots,\alpha_r}F(x) [P_{\alpha_1}h_1,\ldots,P_{\alpha_r}h_r].
P_\betaUse in source · 9 passages
Search aliases: P_β beta
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 8
A finite family of pairwise annihilating idempotents gives exact coordinates. If P_α P_β=0 for α≠β, ∑_α P_α=I, then every vector is the sum of its packet components. Linear operators become block matrices in these coordinates. A nonlinear map cannot be reconstructed from its diagonal restrictions, since mixed interactions between packet components are usually present. It can still be represented exactly if its input is the complete packet tuple.
Exact mathematical passage
P_\alpha P_\beta=0 \quad\text{for }\alpha\ne\beta, \qquad \sum_\alpha P_\alpha=I,
P_\muUse in source · 2 passages
Search aliases: P_μ mu
Use in source · visual_atlas.tex, line 358
vfig[.95]all_obstruction_blocks platecaptionThe board on the right contains all nine actual embedded blocks P_μOb P_ν. Row labels are output packets and column labels are input packets. Only the addresses (0,1) and (1,2) carry nonzero maps.
Exact mathematical passage
P_\mu\Ob P_\nu
P_\nuUse in source · 2 passages
Search aliases: P_ν nu
Use in source · visual_atlas.tex, line 358
vfig[.95]all_obstruction_blocks platecaptionThe board on the right contains all nine actual embedded blocks P_μOb P_ν. Row labels are output packets and column labels are input packets. Only the addresses (0,1) and (1,2) carry nonzero maps.
Exact mathematical passage
P_\mu\Ob P_\nu
\mathsf{Packet}Use in source · 2 passages
Search aliases: Packet mathsf
Use in source · Read passage · 02_connections_obstructions.tex, line 397
Let Candidate, Packet, and Residual be arbitrary types, with a distinguished 0∈Residual, and let r:Candidate⟶ Packet⟶Residual be a residual function.
Exact mathematical passage
\mathsf{Packet}
\Pcal'Use in source · 3 passages
Search aliases: Pcal' P' Pcal mathcal
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 169
[Change of packet coordinates] Let P and P' be packet systems on X. Let Q and Q' be packet systems on Y. For any two packet systems U and V on the same space, write J_ U← V = A_ U S_ V. Then F_ Q'← P' = J_ Q'← Q F_ Q← P J_ P← P'.
Exact mathematical passage
\Pcal'
\pmodUse in source · 3 passages
Search aliases: pmod
Use in source · Read passage · 04_correction_transport.tex, line 217
Suppose x_m satisfies Φ(x_m)∈ F^mY. Assume that corrections h∈ F^mX obey a first order congruence Φ(x_m+h) ≡ Φ(x_m)+L_mh pmodF^m+1Y, where L_m:F^mX→ F^mY is a module homomorphism satisfying L_m(F^m+1X)⊆ F^m+1Y and therefore induces overline L_m: F^mX/F^m+1X ⟶ F^mY/F^m+1Y.
Exact mathematical passage
\Phi(x_m+h) \equiv \Phi(x_m)+L_mh \pmod{F^{m+1}Y},
\primeUse in source · 1 passage
Search aliases: prime
Use in source · Read passage · 04_correction_transport.tex, line 863
The continuous bounded generator has an evolution inverse. Indeed, solve dot V=-VK with V(0)=I. Differentiation gives (VU)^prime=0, hence VU=I. The product W=UV satisfies dot W=KW-WK and W(0)=I; uniqueness of this bounded linear equation gives UV=I. Thus U is invertible.
Exact mathematical passage
(VU)^{\prime}=0
\mathbb QUse in source · 1 passage
Search aliases: Q mathbb
Use in source · Read passage · 02_connections_obstructions.tex, line 69
[The minimal API admits nontrivial holonomy] There is a connection on three points over Q for which transport 0→1 is multiplication by 2, every other transport between distinct endpoints is the identity, and H_2,1,0(1)=2. In particular H_2,1,0≠id. statusleanthreeKomorebi.PaperIII.Transport.twistedThreePointConnection; Komorebi.PaperIII.Transport.twisted_triangleHolonomy_apply_one; Komorebi.PaperIII.Transport.twisted_triangleHolonomy_ne_refl
Exact mathematical passage
\mathbb Q
q^nUse in source · 1 passage
Search aliases: q^n
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 802
rated orbit defect] Let F_f:X_f→ X_f and F_c:X_c→ X_c, with coarsening C:X_f→ X_c. Suppose F_c is q Lipschitz. For a fine orbit starting at x, assume Δ_F(F_f^j x) ≤ε_j. Then CF_f^n(x)-F_c^n(Cx) ≤ ∑_j=0^n-1q^n-1-jε_j. If 0≤ q<1 and every ε_j≤ε, then CF_f^n(x)-F_c^n(Cx) ≤ εfrac1-q^n1-q.
Exact mathematical passage
\left\|CF_f^n(x)-F_c^n(Cx)\right\| \le \varepsilon\frac{1-q^n}{1-q}.
q^{n-1-j}Use in source · 1 passage
Search aliases: q^n-1-j
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 796
[Iterated orbit defect] Let F_f:X_f→ X_f and F_c:X_c→ X_c, with coarsening C:X_f→ X_c. Suppose F_c is q Lipschitz. For a fine orbit starting at x, assume Δ_F(F_f^j x) ≤ε_j. Then CF_f^n(x)-F_c^n(Cx) ≤ ∑_j=0^n-1q^n-1-jε_j. If 0≤ q<1 and every ε_j≤ε, then CF_f^n(x)-F_c^n(Cx) ≤ εfrac1-q^n1-q.
Exact mathematical passage
\left\|CF_f^n(x)-F_c^n(Cx)\right\| \le \sum_{j=0}^{n-1}q^{n-1-j}\varepsilon_j.
Q_0Use in source · 6 passages
Search aliases: Q_0
Use in source · visual_atlas.tex, line 385
headExact reconstruction does not require right angles For the displayed Q_0,Q_1, Q_0+Q_1=I, Q_i^2=Q_i, Q_0Q_1=Q_1Q_0=0, but Q_0^ T≠ Q_0. Expanding both copies of I still proves ∑_i,jQ_iOb Q_j=Ob. The block reconstruction identity itself uses the condition that the projectors sum to the identity. Idempotence is additionally used when constructing a witness that remains supported in one packet after projection. The release does not require pairwise annihilation for its general reconstruction stat…
Exact mathematical passage
Q_0,Q_1
Q_0^\mathsfUse in source · 1 passage
Search aliases: Q_0^ mathsf
Use in source · visual_atlas.tex, line 389
headExact reconstruction does not require right angles For the displayed Q_0,Q_1, Q_0+Q_1=I, Q_i^2=Q_i, Q_0Q_1=Q_1Q_0=0, but Q_0^ T≠ Q_0. Expanding both copies of I still proves ∑_i,jQ_iOb Q_j=Ob. The block reconstruction identity itself uses the condition that the projectors sum to the identity. Idempotence is additionally used when constructing a witness that remains supported in one packet after projection. The release does not require pairwise annihilation for its general reconstruction stat…
Exact mathematical passage
Q_0^\mathsf T\ne Q_0
Q_0^{\mathsf T}Use in source · 1 passage
Search aliases: Q_0^ T mathsf
Use in source · complete_not_just_diagonal.tex, line 42
(11.02000,3.36000) 0; draw[fill=black!12,draw=black!40,line width=.35pt,] (10.00000,2.34000) rectangle ++(0.68000,0.68000); node[] at (10.34000,2.68000) -1; draw[fill=black!12,draw=black!40,line width=.35pt,] (10.68000,2.34000) rectangle ++(0.68000,0.68000); node[] at (11.02000,2.68000) 1; node[] at (9.00000,0.85000) Q_0+Q_1=I, Q_i^2=Q_i; node[] at (6.00000,-0.10000) ∑_i,jQ_iOb Q_j=Ob; Q_0^ T≠ Q_0;
Exact mathematical passage
\sum_{i,j}Q_i\Ob Q_j=\Ob;\qquad Q_0^{\mathsf T}\ne Q_0
Q_1Use in source · 4 passages
Search aliases: Q_1
Use in source · visual_atlas.tex, line 385
headExact reconstruction does not require right angles For the displayed Q_0,Q_1, Q_0+Q_1=I, Q_i^2=Q_i, Q_0Q_1=Q_1Q_0=0, but Q_0^ T≠ Q_0. Expanding both copies of I still proves ∑_i,jQ_iOb Q_j=Ob. The block reconstruction identity itself uses the condition that the projectors sum to the identity. Idempotence is additionally used when constructing a witness that remains supported in one packet after projection. The release does not require pairwise annihilation for its general reconstruction stat…
Exact mathematical passage
Q_0,Q_1
q_DUse in source · 2 passages
Search aliases: q_D
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 923
[Cokernel obstruction criterion] A linear correction exists if and only if Ob_D(r)=0. The quotient map q_D:V⟶coker D has the following universal property. If φ:V→ W is linear and φ D=0, then there is a unique linear map overlineφ:coker D⟶ W with φ=overlineφ q_D.
Exact mathematical passage
q_D:V\longrightarrow\coker D
q_{D'}Use in source · 1 passage
Search aliases: q_D'
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 971
The relation bD=D'a shows that the quotient map q_D'b vanishes on im D. Apply the universal property in [source reference].
Exact mathematical passage
q_{D'}b
Q_iUse in source · 6 passages
Search aliases: Q_i
Use in source · visual_atlas.tex, line 386
headExact reconstruction does not require right angles For the displayed Q_0,Q_1, Q_0+Q_1=I, Q_i^2=Q_i, Q_0Q_1=Q_1Q_0=0, but Q_0^ T≠ Q_0. Expanding both copies of I still proves ∑_i,jQ_iOb Q_j=Ob. The block reconstruction identity itself uses the condition that the projectors sum to the identity. Idempotence is additionally used when constructing a witness that remains supported in one packet after projection. The release does not require pairwise annihilation for its general reconstruction stat…
Exact mathematical passage
Q_0+Q_1=I,\qquad Q_i^2=Q_i,\qquad Q_0Q_1=Q_1Q_0=0,
Q_i^2Use in source · 2 passages
Search aliases: Q_i^2
Use in source · visual_atlas.tex, line 386
headExact reconstruction does not require right angles For the displayed Q_0,Q_1, Q_0+Q_1=I, Q_i^2=Q_i, Q_0Q_1=Q_1Q_0=0, but Q_0^ T≠ Q_0. Expanding both copies of I still proves ∑_i,jQ_iOb Q_j=Ob. The block reconstruction identity itself uses the condition that the projectors sum to the identity. Idempotence is additionally used when constructing a witness that remains supported in one packet after projection. The release does not require pairwise annihilation for its general reconstruction stat…
Exact mathematical passage
Q_0+Q_1=I,\qquad Q_i^2=Q_i,\qquad Q_0Q_1=Q_1Q_0=0,
Q_jUse in source · 3 passages
Search aliases: Q_j
Use in source · visual_atlas.tex, line 390
headExact reconstruction does not require right angles For the displayed Q_0,Q_1, Q_0+Q_1=I, Q_i^2=Q_i, Q_0Q_1=Q_1Q_0=0, but Q_0^ T≠ Q_0. Expanding both copies of I still proves ∑_i,jQ_iOb Q_j=Ob. The block reconstruction identity itself uses the condition that the projectors sum to the identity. Idempotence is additionally used when constructing a witness that remains supported in one packet after projection. The release does not require pairwise annihilation for its general reconstruction stat…
Exact mathematical passage
\sum_{i,j}Q_i\Ob Q_j=\Ob.
q_\ellUse in source · 2 passages
Search aliases: q_ℓ ell
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 852
[Several refinement levels] Let C_ℓ:X_ℓ+1→ X_ℓ for 0≤ℓ<m. Suppose x_ℓ is a fixed point at level ℓ, the coarse map at level ℓ has contraction constant q_ℓ<1, and the adjacent defect at x_ℓ+1 is at most ε_ℓ. Write C_a,b=C_aC_a+1⋯ C_b-1 for a<b, C_a,a=I. Then C_0,mx_m-x_0 ≤ ∑_ℓ=0^m-1 C_0,ℓ fracε_ℓ1-q_ℓ.
Exact mathematical passage
q_\ell<1
\Qcal'Use in source · 3 passages
Search aliases: Qcal' Q' Qcal mathcal
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 169
[Change of packet coordinates] Let P and P' be packet systems on X. Let Q and Q' be packet systems on Y. For any two packet systems U and V on the same space, write J_ U← V = A_ U S_ V. Then F_ Q'← P' = J_ Q'← Q F_ Q← P J_ P← P'.
Exact mathematical passage
\Qcal'
\qedhereUse in source · 1 passage
Search aliases: qedhere
Use in source · Read passage · 04_correction_transport.tex, line 1132
For a section s satisfying Ps=s, ∇^2s=P d(P ds)=P(dP)wedge ds. Since ds=(dP)s+Pds and P(dP)P=0, the surviving term is P(dPwedge dP)Ps.qedhere
Exact mathematical passage
P(dP\wedge dP)Ps.\qedhere
\QQUse in source · 14 passages
Search aliases: QQ
Use in source · visual_atlas.tex, line 87
vpage5Coefficients need not commuteMODEL A / A MATRIX RING AS THE COEFFICIENT SEMIRINGTraditional paper: Lemma 3.7 (p. 5), Section 9 (p. 20) The edge theorem allows a noncommutative coefficient semiring. Use R=M_2(QQ) and let the two coefficients themselves be matrices: A=mat1 · 1
Exact mathematical passage
R=M_2(\QQ)
\QQ^2Use in source · 7 passages
Search aliases: QQ^2 QQ
Use in source · visual_atlas.tex, line 158
vpage8Paths through changing packet listsMODEL B / RECTANGULAR PRODUCTS WITH TWO OR THREE STEPSTraditional paper: Proposition 8.1 (p. 19) Here the packet lists have sizes 2,3,2,1 in succession. Let the actual maps be QQ^2xrightarrowAQQ^3xrightarrowBQQ^2xrightarrowCQQ. Unlike a power of one matrix, each step has its own entries and its own source and target list.
Exact mathematical passage
\QQ^2\xrightarrow{A}\QQ^3\xrightarrow{B}\QQ^2\xrightarrow{C}\QQ.
\QQ^3Use in source · 3 passages
Search aliases: QQ^3 QQ
Use in source · visual_atlas.tex, line 158
vpage8Paths through changing packet listsMODEL B / RECTANGULAR PRODUCTS WITH TWO OR THREE STEPSTraditional paper: Proposition 8.1 (p. 19) Here the packet lists have sizes 2,3,2,1 in succession. Let the actual maps be QQ^2xrightarrowAQQ^3xrightarrowBQQ^2xrightarrowCQQ. Unlike a power of one matrix, each step has its own entries and its own source and target list.
Exact mathematical passage
\QQ^2\xrightarrow{A}\QQ^3\xrightarrow{B}\QQ^2\xrightarrow{C}\QQ.
\QQ^5Use in source · 1 passage
Search aliases: QQ^5 QQ
Use in source · visual_atlas.tex, line 136
vpage7Reachability is only an upper boundMODEL A / AN ORBIT THAT STAYS IN TWO DIMENSIONSTraditional paper: Corollary 3.11 (p. 6) Keep the diamond and add an isolated packet 4. Start with the single seed e_0∈QQ^5. Direct multiplication gives Te_0=e_1+e_2, T^2e_0=0. Every later orbit vector is zero. The orbit hull generated by T is therefore exactly the span of the first two displayed columns.
Exact mathematical passage
e_0\in\QQ^5
\mathbb RUse in source · 4 passages
Search aliases: R mathbb
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 207
Let X and Y be Banach spaces over the same field R or C and let the packet projectors on both spaces be bounded. In the complex case, derivatives are complex Fr echet derivatives and the Taylor integral below has a real parameter. Assume that F:X→ Y is m times continuously Fr echet differentiable. The same local statements hold on open domains containing the points and segments in question. For 1≤ r≤ m, the derivative D^rF(x):X^r⟶ Y is a continuous symmetric multilinear map.
Exact mathematical passage
\mathbb R
\mathcal RUse in source · 1 passage
Search aliases: R mathcal
Use in source · Read passage · 02_connections_obstructions.tex, line 622
in V and m≥1, set i_0=i and i_m=j. Then (B_m⋯ B_1)_ji = ∑_(i_1,…,i_m-1)∈ V^m-1 B_m[i_m,i_m-1]⋯ B_1[i_1,i_0]. When m=1, the sum is over the unique empty tuple and its summand is B_1[j,i]. For m=0, the product is the identity and the entry is the Kronecker delta δ_ji. If every B_r[q,p] vanishes outside a declared relation R_r(p,q), then the endpoint entry is zero whenever there is no packet path compatible with the successive relations. statusleanthreeKomorebi.PaperIII.EdgeOperators.heterogeneousP…
Exact mathematical passage
\mathcal R_r(p,q)
R^2Use in source · 1 passage
Search aliases: R^2
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 514
Assume now that a>0 and b>0. Take R= frac1-sqrt1-4ab2b. Then a+bR^2=R and 2bR<1. Apply [source reference]. The number of full ordered binary trees with n leaves is the Catalan number C_n-1, which gives the displayed majorant.
Exact mathematical passage
a+bR^2=R
\mathbb R^2Use in source · 3 passages
Search aliases: R^2 mathbb
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 946
[htbp] centering includegraphics[width=.96linewidth]correction_cokernel_plane.pdf captionA specified correction range in R^2. For L(a,b)=(a,0), the image is the horizontal axis. The defect (2,3) splits into (2,0) in that image and the remaining representative (0,3). Subtracting the image component leaves the same cokernel class. The functional (x,y)↦ y vanishes on the correction range and detects the value three. The correction equation Lu=-(2,3) therefore has no solution.
Exact mathematical passage
\mathbb R^2
R^{r-1}Use in source · 2 passages
Search aliases: R^r-1
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 447
[Polynomial tree expansion] Suppose there is R>0 such that ϕ(R)≤ R and q= ∑_r=2^dr b_rR^r-1<1. Then the map Φ(x)=s+∑_r=2^dB_r(x,…,x) has a unique fixed point in the closed ball overline B_R(0). The sum of the values of all finite ordered rooted trees converges absolutely to that fixed point.
Exact mathematical passage
q= \sum_{r=2}^{d}r b_rR^{r-1}<1.
R^VUse in source · 1 passage
Search aliases: R^V
Use in source · Read passage · 01_finite_coordinates.tex, line 353
[Orbit support obstruction] Let S⊆ V, and let x∈ R^V be supported on S. If j is not reachable by a directed path from any vertex of S, then (T^nx)_j=0 for every n∈ N. Hence the orbit under T of x cannot generate a vector with a nonzero coordinate at j. statusleanthreeKomorebi.PaperIII.EdgeOperators.PacketGraph.EdgeSystem.Reachable; Komorebi.PaperIII.EdgeOperators.PacketGraph.EdgeSystem.transferOp_pow_mulVec_apply_eq_zero_of_unreachable_support statusleanpriorKomorebi.PacketNaturalityCompletion.R…
Exact mathematical passage
x\in R^V
R^{V\times V}Use in source · 1 passage
Search aliases: R^V× V times
Use in source · Read passage · 02_connections_obstructions.tex, line 604
The passage from words to walks also applies to products of different matrices. Let V be one finite packet type, let R be a semiring, and let B_1,…,B_m∈ R^V× V be a finite sequence of possibly different packet matrices. Rows are targets and columns are sources as before.
Exact mathematical passage
B_1,\ldots,B_m\in R^{V\times V}
r_fUse in source · 3 passages
Search aliases: r_f
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 1098
[Coarse vanishing and fine vanishing] Let [r_f]∈coker D_f. If its image in coker D_c is zero, then [r_f] comes from coker D_0. Coarse vanishing therefore means that the fine obstruction is supported in information removed by coarsening. It does not imply [r_f]=0.
Exact mathematical passage
[r_f]\in\coker D_f
R_{m+1}Use in source · 4 passages
Search aliases: R_m+1
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 287
[Packet Taylor formula] Assume F is m+1 times continuously Fr echet differentiable on an open set containing the segment x+th for 0≤ t≤1. Then Q_γ F(x+h) = · Q_γ F(x) + ∑_r=1^mfrac1r! ∑_α_1,…,α_r J^r_γmidα_1,…,α_rF(x) [P_α_1h,…,P_α_rh] · +Q_γ R_m+1(x,h), where the Bochner integral remainder is R_m+1(x,h) = frac1m! ∫_0^1(1-t)^m D^m+1F(x+th)[h,…,h] dt.
Exact mathematical passage
\begin{aligned} Q_\gamma F(x+h) ={}&Q_\gamma F(x) + \sum_{r=1}^{m}\frac1{r!} \sum_{\alpha_1,\ldots,\alpha_r} J^{r}_{\gamma\mid\alpha_1,\ldots,\alpha_r}F(x) [P_{\alpha_1}h,\ldots,P_{\alpha_r}h]\\ &+Q_\gamma R_{m+1}(x,h), \end{aligned}
\mathcal R_rUse in source · 1 passage
Search aliases: R_r mathcal
Use in source · Read passage · 02_connections_obstructions.tex, line 622
in V and m≥1, set i_0=i and i_m=j. Then (B_m⋯ B_1)_ji = ∑_(i_1,…,i_m-1)∈ V^m-1 B_m[i_m,i_m-1]⋯ B_1[i_1,i_0]. When m=1, the sum is over the unique empty tuple and its summand is B_1[j,i]. For m=0, the product is the identity and the entry is the Kronecker delta δ_ji. If every B_r[q,p] vanishes outside a declared relation R_r(p,q), then the endpoint entry is zero whenever there is no packet path compatible with the successive relations. statusleanthreeKomorebi.PaperIII.EdgeOperators.heterogeneousP…
Exact mathematical passage
\mathcal R_r(p,q)
r_\alphaUse in source · 2 passages
Search aliases: r_α alpha
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 991
of an obstruction] Suppose U=⊕_α∈ IU_α, V=⊕_α∈ IV_α, and D(U_α)⊆ V_α for every α. Let D_α:U_α⟶ V_α be the restriction. Then coker D ≅ ⊕_α∈ Icoker D_α. Under this isomorphism, the obstruction class of r=∑_α r_α is the tuple ([r_α])_α. Hence r is correctable if and only if every packet obstruction vanishes.
Exact mathematical passage
r=\sum_\alpha r_\alpha
R_\deltaUse in source · 2 passages
Search aliases: R_δ delta
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 373
Insert I_Y=∑_γ Q_γ in each argument of the outer derivative and expand the finite sums by multilinearity. Apply R_δ to the output. The directions already lie in the declared input ranges, and each intermediate projection lands in its literal output range. The resulting summands are exactly the displayed packet jets. List directions within a block in increasing index order and blocks in increasing least-element order. Symmetry of the higher derivative makes the final value independent of the bloc…
Exact mathematical passage
R_\delta
\RcalUse in source · 4 passages
Search aliases: Rcal R mathcal
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 126
[Exact nonlinear coordinate theorem] For every map F:X→ Y, S_ QF_ Q← P A_ P=F. If G:Y→ Z and R is a packet system on Z, then (G∘ F)_ R← P = G_ R← Q ∘ F_ Q← P. No linearity, continuity, or differentiability assumption is needed.
Exact mathematical passage
\Rcal
\operatorname{Reach}Use in source · 1 passage
Search aliases: Reach operatorname
Use in source · orbit_support.tex, line 60
h=.35pt,] (4.69000,1.34000) rectangle ++(0.69000,0.69000); node[] at (5.03500,1.68500) 0; draw[fill=black!0,draw=black!40,line width=.35pt,] (4.00000,0.65000) rectangle ++(0.69000,0.69000); node[] at (4.34500,0.99500) 0; draw[fill=black!0,draw=black!40,line width=.35pt,] (4.69000,0.65000) rectangle ++(0.69000,0.69000); node[] at (5.03500,0.99500) 0; node[] at (8.85000,3.80000) Reach(0)={0,1,2,3}; node[] at (8.85000,2.75000) Hull_T(e_0)={(a,b,b,0,0)}; node[] at (8.85000,1.65000) e_3: reachable bu…
Exact mathematical passage
\operatorname{Reach}(0)=\{0,1,2,3\}
\mathsf{Residual}Use in source · 3 passages
Search aliases: Residual mathsf
Use in source · Read passage · 02_connections_obstructions.tex, line 397
Let Candidate, Packet, and Residual be arbitrary types, with a distinguished 0∈Residual, and let r:Candidate⟶ Packet⟶Residual be a residual function.
Exact mathematical passage
\mathsf{Residual}
\mathcal SUse in source · 3 passages
Search aliases: S mathcal
Use in source · visual_atlas.tex, line 28
A_a, S_a · Inverse analysis and synthesis maps, which may be maps of sets. · pagerefV10
Exact mathematical passage
\mathcal A_a,\mathcal S_a
sUse in source · 32 passages
Search aliases: s
Use in source · Read passage · 01_finite_coordinates.tex, line 510
If F:X→ Y is linear and P^a, P^b are source packet systems while Q^r, Q^s are target packet systems, put widehat F_r← a = A^Y_rF S^X_a.
Exact mathematical passage
\cQ^r,\cQ^s
S^*Use in source · 8 passages
Search aliases: S^*
Use in source · Read passage · 04_correction_transport.tex, line 930
The identities Q_α S( Q, P) = S( Q, P)P_α = Q_α P_α follow from pairwise orthogonality. Also S^*S = ∑_α P_α Q_α P_α, SS^* = ∑_α Q_α P_α Q_α. Put δ=max({0}∪{ P_α-Q_α :α∈ I}). On P_α H, P_α Q_α P_α = P_α-P_α(P_α-Q_α)P_α, so this block is bounded below by 1-δ>0. The same argument on Q_α H applies to Q_α P_α Q_α. Thus both S^*S and SS^* are invertible. It follows that S is injective and surjective. The polar factor U=S(S^*S)^-1/2 is unitary. Since S^*S commutes with every P_α, the intertwining ident…
Exact mathematical passage
S^*S = \sum_\alpha P_\alpha Q_\alpha P_\alpha, \qquad SS^* = \sum_\alpha Q_\alpha P_\alpha Q_\alpha.
\mathcal S_aUse in source · 1 passage
Search aliases: S_a mathcal
Use in source · visual_atlas.tex, line 28
A_a, S_a · Inverse analysis and synthesis maps, which may be maps of sets. · pagerefV10
Exact mathematical passage
\mathcal A_a,\mathcal S_a
\Scal_{\Qcal}Use in source · 5 passages
Search aliases: Scal_Qcal S_ Q Scal Qcal mathcal mathcal
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 123
[Exact nonlinear coordinate theorem] For every map F:X→ Y, S_ QF_ Q← P A_ P=F. If G:Y→ Z and R is a packet system on Z, then (G∘ F)_ R← P = G_ R← Q ∘ F_ Q← P. No linearity, continuity, or differentiability assumption is needed.
Exact mathematical passage
\Scal_{\Qcal}F_{\Qcal\leftarrow\Pcal}\Acal_{\Pcal}=F.
\Scal_{\Vcal}Use in source · 1 passage
Search aliases: Scal_Vcal S_ V Scal Vcal mathcal mathcal
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 170
[Change of packet coordinates] Let P and P' be packet systems on X. Let Q and Q' be packet systems on Y. For any two packet systems U and V on the same space, write J_ U← V = A_ U S_ V. Then F_ Q'← P' = J_ Q'← Q F_ Q← P J_ P← P'.
Exact mathematical passage
J_{\Ucal\leftarrow\Vcal} = \Acal_{\Ucal}\Scal_{\Vcal}.
\sinUse in source · 3 passages
Search aliases: sin
Use in source · Read passage · 04_correction_transport.tex, line 1051
[htbp] centering includegraphics[width=.96linewidth]rotating_projector_transport.pdf captionA rotating rank one packet and its orthogonal complement. With u(θ)=(cosθ,sinθ) and P(θ)=u(θ)u(θ)^ T, the canonical generator is [P',P]=(0 · -1
Exact mathematical passage
u(\theta)=(\cos\theta,\sin\theta)
\SpanUse in source · 1 passage
Search aliases: Span span operatorname
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 1115
[A fine obstruction erased by coarsening] Take all three correction spaces to be zero. Let V_f=𝕜^2, V_c=𝕜, p_V(x,y)=x+y, and let V_0=Ker p_V=span{(1,-1)}. The fine defect (1,-1) is a nonzero class in coker D_f=V_f, while its coarse image is zero. The class comes from coker D_0=V_0, exactly as [source reference] predicts.
Exact mathematical passage
V_0=\Ker p_V=\Span\{(1,-1)\}.
\suppUse in source · 2 passages
Search aliases: supp operatorname
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 391
[Structural pruning] For a map H with fixed input and output packet systems, let supp_r H(x) be the set of external profiles (δ;α_1,…,α_r) for which the restricted jet J^r_δmidα_1,…,α_rH(x) is nonzero. A profile belongs to the admissible composition set if it admits a partition π={B_1,…,B_k} and intermediate labels γ_1,…,γ_k such that the outer jet of F and every inner block jet of G in [source reference] are nonzero. Then supp_n(F∘ G)(x) is contained in this admissible set. In particular, a sum…
Exact mathematical passage
\supp_r H(x)
\supp_nUse in source · 1 passage
Search aliases: supp_n supp operatorname
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 391
ernal profiles (δ;α_1,…,α_r) for which the restricted jet J^r_δmidα_1,…,α_rH(x) is nonzero. A profile belongs to the admissible composition set if it admits a partition π={B_1,…,B_k} and intermediate labels γ_1,…,γ_k such that the outer jet of F and every inner block jet of G in [source reference] are nonzero. Then supp_n(F∘ G)(x) is contained in this admissible set. In particular, a summand vanishes whenever one of its constituent packet jets vanishes.
Exact mathematical passage
\supp_n(F\circ G)(x)
\supp_rUse in source · 1 passage
Search aliases: supp_r supp operatorname
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 391
[Structural pruning] For a map H with fixed input and output packet systems, let supp_r H(x) be the set of external profiles (δ;α_1,…,α_r) for which the restricted jet J^r_δmidα_1,…,α_rH(x) is nonzero. A profile belongs to the admissible composition set if it admits a partition π={B_1,…,B_k} and intermediate labels γ_1,…,γ_k such that the outer jet of F and every inner block jet of G in [source reference] are nonzero. Then supp_n(F∘ G)(x) is contained in this admissible set. In particular, a sum…
Exact mathematical passage
\supp_r H(x)
\mathfrak TUse in source · 3 passages
Search aliases: T mathfrak
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 467
Let T_m be the finite set of ordered rooted trees of height less than m. A leaf has value s. If the root of τ has arity r and ordered subtrees τ_1,…,τ_r, define B_τ(s)=B_r(B_τ_1(s),…,B_τ_r(s)). Induction on m shows that the Picard iterate u_0=0 and u_m+1=Φ(u_m) satisfies u_m=∑_τ∈ T_mB_τ(s). Define a nonnegative scalar weight by assigning weight a to a leaf and applying the scalar map (t_1,…,t_r)↦ b_rt_1⋯ t_r at a vertex of arity r. A second induction gives ∑_τ∈ T_m B_τ(s) ≤ ∑_τ∈ T_mw(τ) =t_m, wh…
Exact mathematical passage
\mathfrak T_m
\mathsf TUse in source · 16 passages
Search aliases: T mathsf
Use in source · Read passage · 04_correction_transport.tex, line 1051
[htbp] centering includegraphics[width=.96linewidth]rotating_projector_transport.pdf captionA rotating rank one packet and its orthogonal complement. With u(θ)=(cosθ,sinθ) and P(θ)=u(θ)u(θ)^ T, the canonical generator is [P',P]=(0 · -1
Exact mathematical passage
P(\theta)=u(\theta)u(\theta)^{\mathsf T}
T^2Use in source · 7 passages
Search aliases: T^2
Use in source · Read passage · 02_connections_obstructions.tex, line 695
[A transfer walk with two steps] Let a packet graph have edges e:0→1 and f:1→2, with no other edges. Then T=L_e+L_f, (T^2)_20=c(f)c(e). The products L_eL_e, L_eL_f, and L_fL_f vanish by typed mismatch. Only L_fL_e, corresponding to the walk 0→1→2, contributes to the (2,0) entry. This example also fixes the noncommutative coefficient order.
Exact mathematical passage
T=L_e+L_f,\qquad (T^2)_{20}=c(f)c(e).
T^nUse in source · 9 passages
Search aliases: T^n
Use in source · Read passage · 01_finite_coordinates.tex, line 224
[Transfer power equals recursive word expansion] For every n∈ N, T^n= W_n. statusleanthreeKomorebi.PaperIII.EdgeOperators.PacketGraph.EdgeSystem.transferOp_pow_eq_wordExpansion
Exact mathematical passage
T^n=\cW_n.
T^{n+1}Use in source · 1 passage
Search aliases: T^n+1
Use in source · Read passage · 01_finite_coordinates.tex, line 233
The zero case is the identity matrix. If T^n= W_n, then the left-successor power convention gives T^n+1=TT^n=T W_n= W_n+1.
Exact mathematical passage
T^{n+1}=TT^n=T\cW_n=\cW_{n+1}
t^rUse in source · 1 passage
Search aliases: t^r
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 432
Let X be a Banach space. Fix s∈ X and continuous multilinear maps B_r:X^r⟶ X, 2≤ r≤ d. Set a= s , b_r= B_r , ϕ(t)=a+∑_r=2^db_rt^r. An ordered rooted tree has leaves labeled by s and every internal vertex of arity r labeled by B_r. Its value is obtained by evaluating from the leaves toward the root.
Exact mathematical passage
a=\|s\|, \qquad b_r=\|B_r\|, \qquad \phi(t)=a+\sum_{r=2}^{d}b_rt^r.
T_0Use in source · 1 passage
Search aliases: T_0
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 316
g(t)=F(x+th) on the open preimage of the domain under t↦ x+th. It contains [0,1], and repeated differentiation gives g^(r)(t)=D^rF(x+th)[h,…,h]. The derivatives are continuous on the compact interval, so their Bochner integrals exist in the Banach codomain. Put T_j=frac1j!∫_0^1(1-t)^j g^(j+1)(t) dt (0≤ j≤ m). The fundamental theorem of calculus gives T_0=g(1)-g(0). For j≥1, integration by parts gives T_j=T_j-1-g^(j)(0)/j!. Iterating this relation proves the Taylor identity with remainder T_m=R_m…
Exact mathematical passage
T_0=g(1)-g(0)
t_0Use in source · 6 passages
Search aliases: t_0
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 482
the Picard iterate u_0=0 and u_m+1=Φ(u_m) satisfies u_m=∑_τ∈ T_mB_τ(s). Define a nonnegative scalar weight by assigning weight a to a leaf and applying the scalar map (t_1,…,t_r)↦ b_rt_1⋯ t_r at a vertex of arity r. A second induction gives ∑_τ∈ T_m B_τ(s) ≤ ∑_τ∈ T_mw(τ) =t_m, where t_0=0 and t_m+1=ϕ(t_m). The sequence (t_m) is increasing because ϕ has nonnegative coefficients. It is bounded by R because t_0≤ R and ϕ(R)≤ R. The sum of the norms of all tree values is therefore finite. The tree se…
Exact mathematical passage
t_0=0
T_jUse in source · 2 passages
Search aliases: T_j
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 312
Set g(t)=F(x+th) on the open preimage of the domain under t↦ x+th. It contains [0,1], and repeated differentiation gives g^(r)(t)=D^rF(x+th)[h,…,h]. The derivatives are continuous on the compact interval, so their Bochner integrals exist in the Banach codomain. Put T_j=frac1j!∫_0^1(1-t)^j g^(j+1)(t) dt (0≤ j≤ m). The fundamental theorem of calculus gives T_0=g(1)-g(0). For j≥1, integration by parts gives T_j=T_j-1-g^(j)(0)/j!. Iterating this relation proves the Taylor identity with remainder T_m…
Exact mathematical passage
T_j=\frac1{j!}\int_0^1(1-t)^j g^{(j+1)}(t)\,dt \qquad(0\le j\le m).
t_jUse in source · 4 passages
Search aliases: t_j
Use in source · Read passage · 04_correction_transport.tex, line 1023
Let U(t,s) be the exact propagator generated by K. Since K is continuously differentiable, the integral equation for U(t+h,t) gives a uniform estimate U(t+h,t)-I-hK(t) ≤ C_1h^2. By [source reference], the direct rotation V_j from t_j to t_j+1 therefore satisfies V_j-U(t_j+1,t_j) ≤ C_2h_j^2, h_j=t_j+1-t_j. Both V_j and the exact propagator are unitary. A telescoping product comparison gives V_π-U(T,0) ≤ ∑_j V_j-U(t_j+1,t_j) ≤ C_2∑_jh_j^2 ≤ C_2T|π|. This proves norm convergence and the stated firs…
Exact mathematical passage
t_j
t_{j+1}Use in source · 4 passages
Search aliases: t_j+1
Use in source · Read passage · 04_correction_transport.tex, line 1023
Let U(t,s) be the exact propagator generated by K. Since K is continuously differentiable, the integral equation for U(t+h,t) gives a uniform estimate U(t+h,t)-I-hK(t) ≤ C_1h^2. By [source reference], the direct rotation V_j from t_j to t_j+1 therefore satisfies V_j-U(t_j+1,t_j) ≤ C_2h_j^2, h_j=t_j+1-t_j. Both V_j and the exact propagator are unitary. A telescoping product comparison gives V_π-U(T,0) ≤ ∑_j V_j-U(t_j+1,t_j) ≤ C_2∑_jh_j^2 ≤ C_2T|π|. This proves norm convergence and the stated firs…
Exact mathematical passage
t_{j+1}
T_{j-1}Use in source · 1 passage
Search aliases: T_j-1
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 317
t↦ x+th. It contains [0,1], and repeated differentiation gives g^(r)(t)=D^rF(x+th)[h,…,h]. The derivatives are continuous on the compact interval, so their Bochner integrals exist in the Banach codomain. Put T_j=frac1j!∫_0^1(1-t)^j g^(j+1)(t) dt (0≤ j≤ m). The fundamental theorem of calculus gives T_0=g(1)-g(0). For j≥1, integration by parts gives T_j=T_j-1-g^(j)(0)/j!. Iterating this relation proves the Taylor identity with remainder T_m=R_m+1(x,h) and its exact factorial normalization.
Exact mathematical passage
T_j=T_{j-1}-g^{(j)}(0)/j!
T_mUse in source · 1 passage
Search aliases: T_m
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 317
h,…,h]. The derivatives are continuous on the compact interval, so their Bochner integrals exist in the Banach codomain. Put T_j=frac1j!∫_0^1(1-t)^j g^(j+1)(t) dt (0≤ j≤ m). The fundamental theorem of calculus gives T_0=g(1)-g(0). For j≥1, integration by parts gives T_j=T_j-1-g^(j)(0)/j!. Iterating this relation proves the Taylor identity with remainder T_m=R_m+1(x,h) and its exact factorial normalization.
Exact mathematical passage
T_m=R_{m+1}(x,h)
\mathfrak T_mUse in source · 3 passages
Search aliases: T_m mathfrak
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 467
Let T_m be the finite set of ordered rooted trees of height less than m. A leaf has value s. If the root of τ has arity r and ordered subtrees τ_1,…,τ_r, define B_τ(s)=B_r(B_τ_1(s),…,B_τ_r(s)). Induction on m shows that the Picard iterate u_0=0 and u_m+1=Φ(u_m) satisfies u_m=∑_τ∈ T_mB_τ(s). Define a nonnegative scalar weight by assigning weight a to a leaf and applying the scalar map (t_1,…,t_r)↦ b_rt_1⋯ t_r at a vertex of arity r. A second induction gives ∑_τ∈ T_m B_τ(s) ≤ ∑_τ∈ T_mw(τ) =t_m, wh…
Exact mathematical passage
\mathfrak T_m
t_mUse in source · 3 passages
Search aliases: t_m
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 476
_r, define B_τ(s)=B_r(B_τ_1(s),…,B_τ_r(s)). Induction on m shows that the Picard iterate u_0=0 and u_m+1=Φ(u_m) satisfies u_m=∑_τ∈ T_mB_τ(s). Define a nonnegative scalar weight by assigning weight a to a leaf and applying the scalar map (t_1,…,t_r)↦ b_rt_1⋯ t_r at a vertex of arity r. A second induction gives ∑_τ∈ T_m B_τ(s) ≤ ∑_τ∈ T_mw(τ) =t_m, where t_0=0 and t_m+1=ϕ(t_m). The sequence (t_m) is increasing because ϕ has nonnegative coefficients. It is bounded by R because t_0≤ R and ϕ(R)≤ R. Th…
Exact mathematical passage
\sum_{\tau\in\mathfrak T_m}\|B_\tau(s)\| \le \sum_{\tau\in\mathfrak T_m}w(\tau) =t_m,
t_{m+1}Use in source · 1 passage
Search aliases: t_m+1
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 482
terate u_0=0 and u_m+1=Φ(u_m) satisfies u_m=∑_τ∈ T_mB_τ(s). Define a nonnegative scalar weight by assigning weight a to a leaf and applying the scalar map (t_1,…,t_r)↦ b_rt_1⋯ t_r at a vertex of arity r. A second induction gives ∑_τ∈ T_m B_τ(s) ≤ ∑_τ∈ T_mw(τ) =t_m, where t_0=0 and t_m+1=ϕ(t_m). The sequence (t_m) is increasing because ϕ has nonnegative coefficients. It is bounded by R because t_0≤ R and ϕ(R)≤ R. The sum of the norms of all tree values is therefore finite. The tree series converg…
Exact mathematical passage
t_{m+1}=\phi(t_m)
t_NUse in source · 4 passages
Search aliases: t_N
Use in source · Read passage · 04_correction_transport.tex, line 998
[Direct rotations converge to packet transport] Assume the complete packet family P(t) is twice continuously differentiable in operator norm on [0,T]. For a partition 0=t_0<t_1<⋯<t_N=T with sufficiently small mesh, define V_π = U( P(t_N), P(t_N-1)) ⋯ U( P(t_1), P(t_0)). Then V_π⟶ U(T) in operator norm, where U is the canonical transport from [source reference]. On a fixed compact interval the error is bounded by a constant times the mesh.
Exact mathematical passage
0=t_0<t_1<\cdots<t_N=T
t_{N-1}Use in source · 2 passages
Search aliases: t_N-1
Use in source · Read passage · 04_correction_transport.tex, line 1002
[Direct rotations converge to packet transport] Assume the complete packet family P(t) is twice continuously differentiable in operator norm on [0,T]. For a partition 0=t_0<t_1<⋯<t_N=T with sufficiently small mesh, define V_π = U( P(t_N), P(t_N-1)) ⋯ U( P(t_1), P(t_0)). Then V_π⟶ U(T) in operator norm, where U is the canonical transport from [source reference]. On a fixed compact interval the error is bounded by a constant times the mesh.
Exact mathematical passage
V_\pi = \Ucal(\Pcal(t_N),\Pcal(t_{N-1})) \cdots \Ucal(\Pcal(t_1),\Pcal(t_0)).
t_rUse in source · 1 passage
Search aliases: t_r
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 475
eaf has value s. If the root of τ has arity r and ordered subtrees τ_1,…,τ_r, define B_τ(s)=B_r(B_τ_1(s),…,B_τ_r(s)). Induction on m shows that the Picard iterate u_0=0 and u_m+1=Φ(u_m) satisfies u_m=∑_τ∈ T_mB_τ(s). Define a nonnegative scalar weight by assigning weight a to a leaf and applying the scalar map (t_1,…,t_r)↦ b_rt_1⋯ t_r at a vertex of arity r. A second induction gives ∑_τ∈ T_m B_τ(s) ≤ ∑_τ∈ T_mw(τ) =t_m, where t_0=0 and t_m+1=ϕ(t_m). The sequence (t_m) is increasing because ϕ has n…
Exact mathematical passage
(t_1,\ldots,t_r)\mapsto b_rt_1\cdots t_r
T_{uv}Use in source · 1 passage
Search aliases: T_uv
Use in source · Read passage · 04_correction_transport.tex, line 636
Let Γ=(V,E) be a finite connected graph and fix a vector space X. At every vertex take one labeled copy of X. Every oriented edge u→ v carries an invertible transport T_vu∈GL(X), T_uv=T_vu^-1. Equivalently, one may begin with separate but isomorphic vertex fibers and choose one frame in each fiber. The matrices below are then the transports in those frames. For a path γ=(v_0,…,v_r), set T_γ = T_v_rv_r-1⋯ T_v_1v_0. For a loop, this product is its holonomy. In the based loop group, γ_2γ_1 means fi…
Exact mathematical passage
T_{vu}\in\operatorname{GL}(X), \qquad T_{uv}=T_{vu}^{-1}.
T_{v_1v_0}Use in source · 1 passage
Search aliases: T_v_1v_0
Use in source · Read passage · 04_correction_transport.tex, line 642
or space X. At every vertex take one labeled copy of X. Every oriented edge u→ v carries an invertible transport T_vu∈GL(X), T_uv=T_vu^-1. Equivalently, one may begin with separate but isomorphic vertex fibers and choose one frame in each fiber. The matrices below are then the transports in those frames. For a path γ=(v_0,…,v_r), set T_γ = T_v_rv_r-1⋯ T_v_1v_0. For a loop, this product is its holonomy. In the based loop group, γ_2γ_1 means first traverse γ_1 and then γ_2, so T_γ_2γ_1=T_γ_2T_γ_1.…
Exact mathematical passage
T_\gamma = T_{v_rv_{r-1}}\cdots T_{v_1v_0}.
T_{v_rv_{r-1}}Use in source · 1 passage
Search aliases: T_v_rv_r-1
Use in source · Read passage · 04_correction_transport.tex, line 642
or space X. At every vertex take one labeled copy of X. Every oriented edge u→ v carries an invertible transport T_vu∈GL(X), T_uv=T_vu^-1. Equivalently, one may begin with separate but isomorphic vertex fibers and choose one frame in each fiber. The matrices below are then the transports in those frames. For a path γ=(v_0,…,v_r), set T_γ = T_v_rv_r-1⋯ T_v_1v_0. For a loop, this product is its holonomy. In the based loop group, γ_2γ_1 means first traverse γ_1 and then γ_2, so T_γ_2γ_1=T_γ_2T_γ_1.…
Exact mathematical passage
T_\gamma = T_{v_rv_{r-1}}\cdots T_{v_1v_0}.
T_{vu}^{-1}Use in source · 1 passage
Search aliases: T_vu^-1
Use in source · Read passage · 04_correction_transport.tex, line 636
Let Γ=(V,E) be a finite connected graph and fix a vector space X. At every vertex take one labeled copy of X. Every oriented edge u→ v carries an invertible transport T_vu∈GL(X), T_uv=T_vu^-1. Equivalently, one may begin with separate but isomorphic vertex fibers and choose one frame in each fiber. The matrices below are then the transports in those frames. For a path γ=(v_0,…,v_r), set T_γ = T_v_rv_r-1⋯ T_v_1v_0. For a loop, this product is its holonomy. In the based loop group, γ_2γ_1 means fi…
Exact mathematical passage
T_{vu}\in\operatorname{GL}(X), \qquad T_{uv}=T_{vu}^{-1}.
T_\gammaUse in source · 1 passage
Search aliases: T_γ gamma
Use in source · Read passage · 04_correction_transport.tex, line 642
or space X. At every vertex take one labeled copy of X. Every oriented edge u→ v carries an invertible transport T_vu∈GL(X), T_uv=T_vu^-1. Equivalently, one may begin with separate but isomorphic vertex fibers and choose one frame in each fiber. The matrices below are then the transports in those frames. For a path γ=(v_0,…,v_r), set T_γ = T_v_rv_r-1⋯ T_v_1v_0. For a loop, this product is its holonomy. In the based loop group, γ_2γ_1 means first traverse γ_1 and then γ_2, so T_γ_2γ_1=T_γ_2T_γ_1.…
Exact mathematical passage
T_\gamma = T_{v_rv_{r-1}}\cdots T_{v_1v_0}.
T_{\gamma_1}Use in source · 1 passage
Search aliases: T_γ_1 gamma
Use in source · Read passage · 04_correction_transport.tex, line 647
valently, one may begin with separate but isomorphic vertex fibers and choose one frame in each fiber. The matrices below are then the transports in those frames. For a path γ=(v_0,…,v_r), set T_γ = T_v_rv_r-1⋯ T_v_1v_0. For a loop, this product is its holonomy. In the based loop group, γ_2γ_1 means first traverse γ_1 and then γ_2, so T_γ_2γ_1=T_γ_2T_γ_1. Standard graph terminology may be found in [source reference].
Exact mathematical passage
T_{\gamma_2\gamma_1}=T_{\gamma_2}T_{\gamma_1}
T_{\gamma_2}Use in source · 1 passage
Search aliases: T_γ_2 gamma
Use in source · Read passage · 04_correction_transport.tex, line 647
valently, one may begin with separate but isomorphic vertex fibers and choose one frame in each fiber. The matrices below are then the transports in those frames. For a path γ=(v_0,…,v_r), set T_γ = T_v_rv_r-1⋯ T_v_1v_0. For a loop, this product is its holonomy. In the based loop group, γ_2γ_1 means first traverse γ_1 and then γ_2, so T_γ_2γ_1=T_γ_2T_γ_1. Standard graph terminology may be found in [source reference].
Exact mathematical passage
T_{\gamma_2\gamma_1}=T_{\gamma_2}T_{\gamma_1}
T_{\gamma_2\gamma_1}Use in source · 1 passage
Search aliases: T_γ_2γ_1 gamma gamma
Use in source · Read passage · 04_correction_transport.tex, line 647
valently, one may begin with separate but isomorphic vertex fibers and choose one frame in each fiber. The matrices below are then the transports in those frames. For a path γ=(v_0,…,v_r), set T_γ = T_v_rv_r-1⋯ T_v_1v_0. For a loop, this product is its holonomy. In the based loop group, γ_2γ_1 means first traverse γ_1 and then γ_2, so T_γ_2γ_1=T_γ_2T_γ_1. Standard graph terminology may be found in [source reference].
Exact mathematical passage
T_{\gamma_2\gamma_1}=T_{\gamma_2}T_{\gamma_1}
\TcalUse in source · 1 passage
Search aliases: Tcal T mathcal
Use in source · Read passage · 04_correction_transport.tex, line 673
[Spanning tree normalization] Choose a root and a spanning tree T of Γ. There is a gauge in which every tree edge transport is the identity. In that gauge, the transport on each edge outside the tree is the holonomy of its fundamental cycle, with the orientation used to define that cycle.
Exact mathematical passage
\Tcal
\operatorname{tr}Use in source · 2 passages
Search aliases: tr operatorname
Use in source · visual_atlas.tex, line 279
The usual scalar invariants can be misleading: trH=2, det H=1, χ_H(t)=(t-1)^2. These are also the invariants of the 2×2 identity matrix. Nevertheless, Ob=H-I=mat0 · 1
Exact mathematical passage
\operatorname{tr}H=2,\qquad \det H=1,\qquad \chi_H(t)=(t-1)^2.
\mathcal UUse in source · 2 passages
Search aliases: U mathcal
Use in source · Read passage · 04_correction_transport.tex, line 115
[Local Lyapunov Schmidt reduction] Let U⊆ X be an open neighborhood of zero and let F: U→ Y be a C^r map between Banach spaces with r≥1, F(0)=0, and L=DF(0). Assume there are closed decompositions X=K⊕ X_1, Y=R⊕ O, where K=Ker L, R=im L, and L_1=L|_X_1:X_1⟶ R is a Banach space isomorphism. Let π_R and π_O be the two projections on Y. Then there are neighborhoods U_K⊆ K and U_1⊆ X_1 of zero and a unique C^r map ψ:U_K⟶ U_1 with ψ(0)=0 such that π_RF(k+ψ(k))=0 for every k∈ U_K. After the neighborho…
Exact mathematical passage
\mathcal U\subseteq X
U'Use in source · 1 passage
Search aliases: U'
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 953
[Naturality of obstruction classes] Suppose ccc U · xrightarrowD · V mathllapadownarrow · · downarrowmathrlapb U' · xrightarrowD' · V' is a commuting square. Then there is a unique induced map overline b:coker D⟶coker D' satisfying overline b Ob_D(r)=Ob_D'(br).
Exact mathematical passage
\begin{array}{ccc} U & \xrightarrow{D} & V\\ \mathllap{a}\downarrow & & \downarrow\mathrlap{b}\\ U' & \xrightarrow{D'} & V' \end{array}
u^2Use in source · 5 passages
Search aliases: u^2
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 548
[Catalan parity packets] Over a field of characteristic zero, the formal equation u=z+u^2 has the branch u(z)=frac1-sqrt1-4z2. Write u=u_0+u_1, where u_0 contains the even powers of z and u_1 contains the odd powers. Exact packet projection gives u_0=u_0^2+u_1^2, u_1=z+2u_0u_1. The two equations remain coupled. Their sum is the original fixed point equation.
Exact mathematical passage
u=z+u^2
U_0Use in source · 1 passage
Search aliases: U_0
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 1044
[Relative obstruction exact sequence] Suppose the following diagram of modules commutes and has exact rows: ccccccccc 0 · ⟶ · U_0 · xrightarrowi_U · U_f · xrightarrowp_U · U_c · ⟶ · 0 [4pt] · · mathllapD_0downarrow · · mathllapD_fdownarrow · · mathllapD_cdownarrow · · [4pt] 0 · ⟶ · V_0 · xrightarrowi_V · V_f · xrightarrowp_V · V_c · ⟶ · 0. There is a natural exact sequence 0 · ⟶Ker D_0 ⟶Ker D_f ⟶Ker D_c xrightarrowδcoker D_0
Exact mathematical passage
\begin{array}{ccccccccc} 0&\longrightarrow&U_0&\xrightarrow{i_U}&U_f&\xrightarrow{p_U}&U_c&\longrightarrow&0\\[4pt] &&\mathllap{D_0}\downarrow&&\mathllap{D_f}\downarrow&&\mathllap{D_c}\downarrow&&\\[4pt] 0&\longrightarrow&V_0&\xrightarrow{i_V}&V_f&\xrightarrow{p_V}&V_c&\longrightarrow&0. \end{array}
u_0Use in source · 21 passages
Search aliases: u_0
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 471
Let T_m be the finite set of ordered rooted trees of height less than m. A leaf has value s. If the root of τ has arity r and ordered subtrees τ_1,…,τ_r, define B_τ(s)=B_r(B_τ_1(s),…,B_τ_r(s)). Induction on m shows that the Picard iterate u_0=0 and u_m+1=Φ(u_m) satisfies u_m=∑_τ∈ T_mB_τ(s). Define a nonnegative scalar weight by assigning weight a to a leaf and applying the scalar map (t_1,…,t_r)↦ b_rt_1⋯ t_r at a vertex of arity r. A second induction gives ∑_τ∈ T_m B_τ(s) ≤ ∑_τ∈ T_mw(τ) =t_m, wh…
Exact mathematical passage
u_0=0
u_0^2Use in source · 1 passage
Search aliases: u_0^2
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 556
[Catalan parity packets] Over a field of characteristic zero, the formal equation u=z+u^2 has the branch u(z)=frac1-sqrt1-4z2. Write u=u_0+u_1, where u_0 contains the even powers of z and u_1 contains the odd powers. Exact packet projection gives u_0=u_0^2+u_1^2, u_1=z+2u_0u_1. The two equations remain coupled. Their sum is the original fixed point equation.
Exact mathematical passage
u_0=u_0^2+u_1^2, \qquad u_1=z+2u_0u_1.
U_1Use in source · 2 passages
Search aliases: U_1
Use in source · Read passage · 04_correction_transport.tex, line 125
ro and let F: U→ Y be a C^r map between Banach spaces with r≥1, F(0)=0, and L=DF(0). Assume there are closed decompositions X=K⊕ X_1, Y=R⊕ O, where K=Ker L, R=im L, and L_1=L|_X_1:X_1⟶ R is a Banach space isomorphism. Let π_R and π_O be the two projections on Y. Then there are neighborhoods U_K⊆ K and U_1⊆ X_1 of zero and a unique C^r map ψ:U_K⟶ U_1 with ψ(0)=0 such that π_RF(k+ψ(k))=0 for every k∈ U_K. After the neighborhoods are made smaller if needed, the solutions of F(x)=0 near zero are exa…
Exact mathematical passage
U_1\subseteq X_1
u_1Use in source · 4 passages
Search aliases: u_1
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 555
[Catalan parity packets] Over a field of characteristic zero, the formal equation u=z+u^2 has the branch u(z)=frac1-sqrt1-4z2. Write u=u_0+u_1, where u_0 contains the even powers of z and u_1 contains the odd powers. Exact packet projection gives u_0=u_0^2+u_1^2, u_1=z+2u_0u_1. The two equations remain coupled. Their sum is the original fixed point equation.
Exact mathematical passage
u=u_0+u_1
u_1^2Use in source · 1 passage
Search aliases: u_1^2
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 556
[Catalan parity packets] Over a field of characteristic zero, the formal equation u=z+u^2 has the branch u(z)=frac1-sqrt1-4z2. Write u=u_0+u_1, where u_0 contains the even powers of z and u_1 contains the odd powers. Exact packet projection gives u_0=u_0^2+u_1^2, u_1=z+2u_0u_1. The two equations remain coupled. Their sum is the original fixed point equation.
Exact mathematical passage
u_0=u_0^2+u_1^2, \qquad u_1=z+2u_0u_1.
u_2Use in source · 1 passage
Search aliases: u_2
Use in source · frame_coordinates.tex, line 40
000,1.20000); draw[black!14] (9.20000,2.00000) -- (12.00000,2.00000); draw[->] (9.10000,0.40000) -- (12.16000,0.40000); draw[->] (9.20000,0.30000) -- (9.20000,2.64000); draw[->,line width=1.2pt] (9.20000,0.40000) -- (10.40000,0.80000); node[font=sffamilybfseries] at (10.65000,3.55000) chart 2; node[] at (10.65000,2.97000) (frac32,frac12); node[] at (10.65000,-0.35000) F_2u_2=(3,2)^ T;
Exact mathematical passage
F_2u_2=(3,2)^\mathsf T
u_aUse in source · 1 passage
Search aliases: u_a
Use in source · visual_atlas.tex, line 185
1 · 1. The same ambient vector x=(3,2)^ T has chart coordinates u_a=F_a^-1x.
Exact mathematical passage
u_a=F_a^{-1}x
U_cUse in source · 2 passages
Search aliases: U_c
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 1044
[Relative obstruction exact sequence] Suppose the following diagram of modules commutes and has exact rows: ccccccccc 0 · ⟶ · U_0 · xrightarrowi_U · U_f · xrightarrowp_U · U_c · ⟶ · 0 [4pt] · · mathllapD_0downarrow · · mathllapD_fdownarrow · · mathllapD_cdownarrow · · [4pt] 0 · ⟶ · V_0 · xrightarrowi_V · V_f · xrightarrowp_V · V_c · ⟶ · 0. There is a natural exact sequence 0 · ⟶Ker D_0 ⟶Ker D_f ⟶Ker D_c xrightarrowδcoker D_0
Exact mathematical passage
\begin{array}{ccccccccc} 0&\longrightarrow&U_0&\xrightarrow{i_U}&U_f&\xrightarrow{p_U}&U_c&\longrightarrow&0\\[4pt] &&\mathllap{D_0}\downarrow&&\mathllap{D_f}\downarrow&&\mathllap{D_c}\downarrow&&\\[4pt] 0&\longrightarrow&V_0&\xrightarrow{i_V}&V_f&\xrightarrow{p_V}&V_c&\longrightarrow&0. \end{array}
u_cUse in source · 13 passages
Search aliases: u_c
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 1063
· ⟶coker D_f ⟶coker D_c ⟶0. For u_c∈Ker D_c, choose u_f∈ U_f with p_Uu_f=u_c. There is a unique v_0∈ V_0 such that D_fu_f=i_Vv_0, and the connecting map is δ(u_c)=[v_0].
Exact mathematical passage
u_c\in\Ker D_c
U_fUse in source · 3 passages
Search aliases: U_f
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 1044
[Relative obstruction exact sequence] Suppose the following diagram of modules commutes and has exact rows: ccccccccc 0 · ⟶ · U_0 · xrightarrowi_U · U_f · xrightarrowp_U · U_c · ⟶ · 0 [4pt] · · mathllapD_0downarrow · · mathllapD_fdownarrow · · mathllapD_cdownarrow · · [4pt] 0 · ⟶ · V_0 · xrightarrowi_V · V_f · xrightarrowp_V · V_c · ⟶ · 0. There is a natural exact sequence 0 · ⟶Ker D_0 ⟶Ker D_f ⟶Ker D_c xrightarrowδcoker D_0
Exact mathematical passage
\begin{array}{ccccccccc} 0&\longrightarrow&U_0&\xrightarrow{i_U}&U_f&\xrightarrow{p_U}&U_c&\longrightarrow&0\\[4pt] &&\mathllap{D_0}\downarrow&&\mathllap{D_f}\downarrow&&\mathllap{D_c}\downarrow&&\\[4pt] 0&\longrightarrow&V_0&\xrightarrow{i_V}&V_f&\xrightarrow{p_V}&V_c&\longrightarrow&0. \end{array}
u_fUse in source · 16 passages
Search aliases: u_f
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 1063
· ⟶coker D_f ⟶coker D_c ⟶0. For u_c∈Ker D_c, choose u_f∈ U_f with p_Uu_f=u_c. There is a unique v_0∈ V_0 such that D_fu_f=i_Vv_0, and the connecting map is δ(u_c)=[v_0].
Exact mathematical passage
u_f\in U_f
U_KUse in source · 3 passages
Search aliases: U_K
Use in source · Read passage · 04_correction_transport.tex, line 125
en neighborhood of zero and let F: U→ Y be a C^r map between Banach spaces with r≥1, F(0)=0, and L=DF(0). Assume there are closed decompositions X=K⊕ X_1, Y=R⊕ O, where K=Ker L, R=im L, and L_1=L|_X_1:X_1⟶ R is a Banach space isomorphism. Let π_R and π_O be the two projections on Y. Then there are neighborhoods U_K⊆ K and U_1⊆ X_1 of zero and a unique C^r map ψ:U_K⟶ U_1 with ψ(0)=0 such that π_RF(k+ψ(k))=0 for every k∈ U_K. After the neighborhoods are made smaller if needed, the solutions of F(x…
Exact mathematical passage
U_K\subseteq K
u_mUse in source · 2 passages
Search aliases: u_m
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 471
Let T_m be the finite set of ordered rooted trees of height less than m. A leaf has value s. If the root of τ has arity r and ordered subtrees τ_1,…,τ_r, define B_τ(s)=B_r(B_τ_1(s),…,B_τ_r(s)). Induction on m shows that the Picard iterate u_0=0 and u_m+1=Φ(u_m) satisfies u_m=∑_τ∈ T_mB_τ(s). Define a nonnegative scalar weight by assigning weight a to a leaf and applying the scalar map (t_1,…,t_r)↦ b_rt_1⋯ t_r at a vertex of arity r. A second induction gives ∑_τ∈ T_m B_τ(s) ≤ ∑_τ∈ T_mw(τ) =t_m, wh…
Exact mathematical passage
u_{m+1}=\Phi(u_m)
u_{m+1}Use in source · 1 passage
Search aliases: u_m+1
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 471
Let T_m be the finite set of ordered rooted trees of height less than m. A leaf has value s. If the root of τ has arity r and ordered subtrees τ_1,…,τ_r, define B_τ(s)=B_r(B_τ_1(s),…,B_τ_r(s)). Induction on m shows that the Picard iterate u_0=0 and u_m+1=Φ(u_m) satisfies u_m=∑_τ∈ T_mB_τ(s). Define a nonnegative scalar weight by assigning weight a to a leaf and applying the scalar map (t_1,…,t_r)↦ b_rt_1⋯ t_r at a vertex of arity r. A second induction gives ∑_τ∈ T_m B_τ(s) ≤ ∑_τ∈ T_mw(τ) =t_m, wh…
Exact mathematical passage
u_{m+1}=\Phi(u_m)
U_rUse in source · 6 passages
Search aliases: U_r
Use in source · Read passage · 04_correction_transport.tex, line 704
Let A be a transport system on copies of a fixed vector space V_0, and let B be a transport system on copies of a fixed vector space W_0. Fix a root r and an isomorphism U_r:V_0⟶ W_0.
Exact mathematical passage
U_r:V_0\longrightarrow W_0.
U_uUse in source · 2 passages
Search aliases: U_u
Use in source · Read passage · 04_correction_transport.tex, line 712
[Fundamental holonomy intertwining criterion] The following conditions are equivalent. item There is a family of isomorphisms U_v:V_0→ W_0 with the prescribed root value U_r and satisfying U_vA_vu=B_vuU_u for every oriented edge u→ v. item For every fundamental loop γ based at r, U_rHol_A(γ)=Hol_B(γ)U_r. item The same identity holds for every loop based at r. When these conditions hold, the family (U_v) is uniquely determined by U_r.
Exact mathematical passage
U_vA_{vu}=B_{vu}U_u
U_vUse in source · 5 passages
Search aliases: U_v
Use in source · Read passage · 04_correction_transport.tex, line 711
[Fundamental holonomy intertwining criterion] The following conditions are equivalent. item There is a family of isomorphisms U_v:V_0→ W_0 with the prescribed root value U_r and satisfying U_vA_vu=B_vuU_u for every oriented edge u→ v. item For every fundamental loop γ based at r, U_rHol_A(γ)=Hol_B(γ)U_r. item The same identity holds for every loop based at r. When these conditions hold, the family (U_v) is uniquely determined by U_r.
Exact mathematical passage
U_v:V_0\to W_0
U_\alphaUse in source · 3 passages
Search aliases: U_α alpha
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 976
[Packet decomposition of an obstruction] Suppose U=⊕_α∈ IU_α, V=⊕_α∈ IV_α, and D(U_α)⊆ V_α for every α. Let D_α:U_α⟶ V_α be the restriction. Then coker D ≅ ⊕_α∈ Icoker D_α. Under this isomorphism, the obstruction class of r=∑_α r_α is the tuple ([r_α])_α. Hence r is correctable if and only if every packet obstruction vanishes.
Exact mathematical passage
U=\bigoplus_{\alpha\in I}U_\alpha, \qquad V=\bigoplus_{\alpha\in I}V_\alpha,
U_\piUse in source · 3 passages
Search aliases: U_π pi
Use in source · Read passage · 04_correction_transport.tex, line 1062
[Convergence of sampled transports] Assume K is Lipschitz on [0,T]. For a partition 0=t_0<t_1<⋯<t_N=T, define U_π = exp((t_N-t_N-1)K(t_N-1)) ⋯ exp((t_1-t_0)K(t_0)). As the mesh |π| tends to zero, U_π⟶ U(T) in operator norm. There is a constant C, depending only on T, the supremum norm of K, and its Lipschitz constant, such that U_π-U(T) ≤ C|π|.
Exact mathematical passage
U_\pi = \exp\big((t_N-t_{N-1})K(t_{N-1})\big) \cdots \exp\big((t_1-t_0)K(t_0)\big).
V'Use in source · 1 passage
Search aliases: V'
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 953
[Naturality of obstruction classes] Suppose ccc U · xrightarrowD · V mathllapadownarrow · · downarrowmathrlapb U' · xrightarrowD' · V' is a commuting square. Then there is a unique induced map overline b:coker D⟶coker D' satisfying overline b Ob_D(r)=Ob_D'(br).
Exact mathematical passage
\begin{array}{ccc} U & \xrightarrow{D} & V\\ \mathllap{a}\downarrow & & \downarrow\mathrlap{b}\\ U' & \xrightarrow{D'} & V' \end{array}
v'Use in source · 2 passages
Search aliases: v'
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 1031
If v-v'∈im D, then Q_α(v-v')∈im D. Hence [v]↦[Q_α v] is well defined on the quotient. The idempotent, annihilation, and reconstruction identities descend from V to V/im D. The formula for an obstruction class follows from the definition.
Exact mathematical passage
v-v'\in\im D
v^2Use in source · 3 passages
Search aliases: v^2
Use in source · visual_atlas.tex, line 476
For a canonical coordinate change with input and output chart v=2x, the target formula is not still v^2. It is widehat f_b(v)=2f(v/2)=fracv^22. Consequently widehat f_b(2x)=2x^2, and the exact coordinate defect vanishes. This is the same distinction illustrated in the example in two dimensions on V10.
Exact mathematical passage
v^2
V^{m-1}Use in source · 1 passage
Search aliases: V^m-1
Use in source · Read passage · 02_connections_obstructions.tex, line 610
[Packet path expansion for different matrices] For i,j∈ V and m≥1, set i_0=i and i_m=j. Then (B_m⋯ B_1)_ji = ∑_(i_1,…,i_m-1)∈ V^m-1 B_m[i_m,i_m-1]⋯ B_1[i_1,i_0]. When m=1, the sum is over the unique empty tuple and its summand is B_1[j,i]. For m=0, the product is the identity and the entry is the Kronecker delta δ_ji. If every B_r[q,p] vanishes outside a declared relation R_r(p,q), then the endpoint entry is zero whenever there is no packet path compatible with the successive relations. statusle…
Exact mathematical passage
\boxed{ (B_m\cdots B_1)_{ji} = \sum_{(i_1,\ldots,i_{m-1})\in V^{m-1}} B_m[i_m,i_{m-1}]\cdots B_1[i_1,i_0]. }
V_0Use in source · 9 passages
Search aliases: V_0
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 1044
[Relative obstruction exact sequence] Suppose the following diagram of modules commutes and has exact rows: ccccccccc 0 · ⟶ · U_0 · xrightarrowi_U · U_f · xrightarrowp_U · U_c · ⟶ · 0 [4pt] · · mathllapD_0downarrow · · mathllapD_fdownarrow · · mathllapD_cdownarrow · · [4pt] 0 · ⟶ · V_0 · xrightarrowi_V · V_f · xrightarrowp_V · V_c · ⟶ · 0. There is a natural exact sequence 0 · ⟶Ker D_0 ⟶Ker D_f ⟶Ker D_c xrightarrowδcoker D_0
Exact mathematical passage
\begin{array}{ccccccccc} 0&\longrightarrow&U_0&\xrightarrow{i_U}&U_f&\xrightarrow{p_U}&U_c&\longrightarrow&0\\[4pt] &&\mathllap{D_0}\downarrow&&\mathllap{D_f}\downarrow&&\mathllap{D_c}\downarrow&&\\[4pt] 0&\longrightarrow&V_0&\xrightarrow{i_V}&V_f&\xrightarrow{p_V}&V_c&\longrightarrow&0. \end{array}
v_0Use in source · 25 passages
Search aliases: v_0
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 1063
· ⟶coker D_f ⟶coker D_c ⟶0. For u_c∈Ker D_c, choose u_f∈ U_f with p_Uu_f=u_c. There is a unique v_0∈ V_0 such that D_fu_f=i_Vv_0, and the connecting map is δ(u_c)=[v_0].
Exact mathematical passage
v_0\in V_0
v_1Use in source · 2 passages
Search aliases: v_1
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 330
The relation to derivatives of the complete coordinate representation is also literal. For an open domain U⊆ X, put widehat F= A_ Q∘ F∘ S_ P on the open coordinate set A_ P(U). Boundedness and linearity of analysis and synthesis imply, for 1≤ r≤ m, D^rwidehat F(u)[v_1,…,v_r] = A_ Q(D^rF( S_ Pu) [ S_ Pv_1,…, S_ Pv_r]). Indeed, the first derivative follows from the chain rule. Repeating it adds no higher derivatives of the fixed linear coordinate maps. If each v_j is supported in one coordinate sl…
Exact mathematical passage
D^r\widehat F(u)[v_1,\ldots,v_r] =\Acal_{\Qcal}\bigl(D^rF(\Scal_{\Pcal}u) [\Scal_{\Pcal}v_1,\ldots,\Scal_{\Pcal}v_r]\bigr).
V_cUse in source · 2 passages
Search aliases: V_c
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 1044
[Relative obstruction exact sequence] Suppose the following diagram of modules commutes and has exact rows: ccccccccc 0 · ⟶ · U_0 · xrightarrowi_U · U_f · xrightarrowp_U · U_c · ⟶ · 0 [4pt] · · mathllapD_0downarrow · · mathllapD_fdownarrow · · mathllapD_cdownarrow · · [4pt] 0 · ⟶ · V_0 · xrightarrowi_V · V_f · xrightarrowp_V · V_c · ⟶ · 0. There is a natural exact sequence 0 · ⟶Ker D_0 ⟶Ker D_f ⟶Ker D_c xrightarrowδcoker D_0
Exact mathematical passage
\begin{array}{ccccccccc} 0&\longrightarrow&U_0&\xrightarrow{i_U}&U_f&\xrightarrow{p_U}&U_c&\longrightarrow&0\\[4pt] &&\mathllap{D_0}\downarrow&&\mathllap{D_f}\downarrow&&\mathllap{D_c}\downarrow&&\\[4pt] 0&\longrightarrow&V_0&\xrightarrow{i_V}&V_f&\xrightarrow{p_V}&V_c&\longrightarrow&0. \end{array}
V_fUse in source · 3 passages
Search aliases: V_f
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 1044
[Relative obstruction exact sequence] Suppose the following diagram of modules commutes and has exact rows: ccccccccc 0 · ⟶ · U_0 · xrightarrowi_U · U_f · xrightarrowp_U · U_c · ⟶ · 0 [4pt] · · mathllapD_0downarrow · · mathllapD_fdownarrow · · mathllapD_cdownarrow · · [4pt] 0 · ⟶ · V_0 · xrightarrowi_V · V_f · xrightarrowp_V · V_c · ⟶ · 0. There is a natural exact sequence 0 · ⟶Ker D_0 ⟶Ker D_f ⟶Ker D_c xrightarrowδcoker D_0
Exact mathematical passage
\begin{array}{ccccccccc} 0&\longrightarrow&U_0&\xrightarrow{i_U}&U_f&\xrightarrow{p_U}&U_c&\longrightarrow&0\\[4pt] &&\mathllap{D_0}\downarrow&&\mathllap{D_f}\downarrow&&\mathllap{D_c}\downarrow&&\\[4pt] 0&\longrightarrow&V_0&\xrightarrow{i_V}&V_f&\xrightarrow{p_V}&V_c&\longrightarrow&0. \end{array}
v_fUse in source · 5 passages
Search aliases: v_f
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 1090
If a class in coker D_f comes from coker D_0, its image in coker D_c is zero. Conversely, suppose [v_f] maps to zero in coker D_c. Choose u_c with D_cu_c=p_Vv_f and lift it to u_f∈ U_f. Then p_V(v_f-D_fu_f)=0, so v_f-D_fu_f=i_Vv_0 for some v_0∈ V_0. Thus [v_f] comes from [v_0]. Surjectivity at the last term follows from surjectivity of p_V.
Exact mathematical passage
[v_f]
V_jUse in source · 4 passages
Search aliases: V_j
Use in source · Read passage · 04_correction_transport.tex, line 1023
Let U(t,s) be the exact propagator generated by K. Since K is continuously differentiable, the integral equation for U(t+h,t) gives a uniform estimate U(t+h,t)-I-hK(t) ≤ C_1h^2. By [source reference], the direct rotation V_j from t_j to t_j+1 therefore satisfies V_j-U(t_j+1,t_j) ≤ C_2h_j^2, h_j=t_j+1-t_j. Both V_j and the exact propagator are unitary. A telescoping product comparison gives V_π-U(T,0) ≤ ∑_j V_j-U(t_j+1,t_j) ≤ C_2∑_jh_j^2 ≤ C_2T|π|. This proves norm convergence and the stated firs…
Exact mathematical passage
V_j
v_jUse in source · 1 passage
Search aliases: v_j
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 335
on the open coordinate set A_ P(U). Boundedness and linearity of analysis and synthesis imply, for 1≤ r≤ m, D^rwidehat F(u)[v_1,…,v_r] = A_ Q(D^rF( S_ Pu) [ S_ Pv_1,…, S_ Pv_r]). Indeed, the first derivative follows from the chain rule. Repeating it adds no higher derivatives of the fixed linear coordinate maps. If each v_j is supported in one coordinate slot α_j, synthesis includes that slot into X. Its γ output component is exactly the range jet defined above, including when a chosen direction…
Exact mathematical passage
v_j
v_rUse in source · 3 passages
Search aliases: v_r
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 330
The relation to derivatives of the complete coordinate representation is also literal. For an open domain U⊆ X, put widehat F= A_ Q∘ F∘ S_ P on the open coordinate set A_ P(U). Boundedness and linearity of analysis and synthesis imply, for 1≤ r≤ m, D^rwidehat F(u)[v_1,…,v_r] = A_ Q(D^rF( S_ Pu) [ S_ Pv_1,…, S_ Pv_r]). Indeed, the first derivative follows from the chain rule. Repeating it adds no higher derivatives of the fixed linear coordinate maps. If each v_j is supported in one coordinate sl…
Exact mathematical passage
D^r\widehat F(u)[v_1,\ldots,v_r] =\Acal_{\Qcal}\bigl(D^rF(\Scal_{\Pcal}u) [\Scal_{\Pcal}v_1,\ldots,\Scal_{\Pcal}v_r]\bigr).
v_{r-1}Use in source · 1 passage
Search aliases: v_r-1
Use in source · Read passage · 04_correction_transport.tex, line 642
or space X. At every vertex take one labeled copy of X. Every oriented edge u→ v carries an invertible transport T_vu∈GL(X), T_uv=T_vu^-1. Equivalently, one may begin with separate but isomorphic vertex fibers and choose one frame in each fiber. The matrices below are then the transports in those frames. For a path γ=(v_0,…,v_r), set T_γ = T_v_rv_r-1⋯ T_v_1v_0. For a loop, this product is its holonomy. In the based loop group, γ_2γ_1 means first traverse γ_1 and then γ_2, so T_γ_2γ_1=T_γ_2T_γ_1.…
Exact mathematical passage
T_\gamma = T_{v_rv_{r-1}}\cdots T_{v_1v_0}.
V_\alphaUse in source · 3 passages
Search aliases: V_α alpha
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 976
[Packet decomposition of an obstruction] Suppose U=⊕_α∈ IU_α, V=⊕_α∈ IV_α, and D(U_α)⊆ V_α for every α. Let D_α:U_α⟶ V_α be the restriction. Then coker D ≅ ⊕_α∈ Icoker D_α. Under this isomorphism, the obstruction class of r=∑_α r_α is the tuple ([r_α])_α. Hence r is correctable if and only if every packet obstruction vanishes.
Exact mathematical passage
U=\bigoplus_{\alpha\in I}U_\alpha, \qquad V=\bigoplus_{\alpha\in I}V_\alpha,
V_\piUse in source · 3 passages
Search aliases: V_π pi
Use in source · Read passage · 04_correction_transport.tex, line 1002
[Direct rotations converge to packet transport] Assume the complete packet family P(t) is twice continuously differentiable in operator norm on [0,T]. For a partition 0=t_0<t_1<⋯<t_N=T with sufficiently small mesh, define V_π = U( P(t_N), P(t_N-1)) ⋯ U( P(t_1), P(t_0)). Then V_π⟶ U(T) in operator norm, where U is the canonical transport from [source reference]. On a fixed compact interval the error is bounded by a constant times the mesh.
Exact mathematical passage
V_\pi = \Ucal(\Pcal(t_N),\Pcal(t_{N-1})) \cdots \Ucal(\Pcal(t_1),\Pcal(t_0)).
\varprojlimUse in source · 1 passage
Search aliases: varprojlim
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 72
ng conventions All packet systems are finite unless a statement says otherwise. In a normed setting every packet projector and every coarsening operator is bounded. Differentiability of operator valued maps is taken in operator norm. A Banach space isomorphism is a bounded linear bijection with bounded inverse. For a decreasing filtration (F^mX), completeness means that the canonical map X⟶varprojlim_m X/F^mX is an isomorphism and separatedness means ⋂_mF^mX=0. Statements about congruence classe…
Exact mathematical passage
X\longrightarrow\varprojlim_m X/F^mX
\varprojlim_mUse in source · 1 passage
Search aliases: varprojlim_m varprojlim
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 72
ng conventions All packet systems are finite unless a statement says otherwise. In a normed setting every packet projector and every coarsening operator is bounded. Differentiability of operator valued maps is taken in operator norm. A Banach space isomorphism is a bounded linear bijection with bounded inverse. For a decreasing filtration (F^mX), completeness means that the canonical map X⟶varprojlim_m X/F^mX is an isomorphism and separatedness means ⋂_mF^mX=0. Statements about congruence classe…
Exact mathematical passage
X\longrightarrow\varprojlim_m X/F^mX
\VcalUse in source · 2 passages
Search aliases: Vcal V mathcal
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 169
[Change of packet coordinates] Let P and P' be packet systems on X. Let Q and Q' be packet systems on Y. For any two packet systems U and V on the same space, write J_ U← V = A_ U S_ V. Then F_ Q'← P' = J_ Q'← Q F_ Q← P J_ P← P'.
Exact mathematical passage
\Vcal
WUse in source · 8 passages
Search aliases: W
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 926
[Cokernel obstruction criterion] A linear correction exists if and only if Ob_D(r)=0. The quotient map q_D:V⟶coker D has the following universal property. If φ:V→ W is linear and φ D=0, then there is a unique linear map overlineφ:coker D⟶ W with φ=overlineφ q_D.
Exact mathematical passage
\varphi:V\to W
w^{-1}Use in source · 2 passages
Search aliases: w^-1
Use in source · Read passage · 02_connections_obstructions.tex, line 677
[A scalar triangle] Let B={0,1,2} and C_0=C_1=C_2=𝕜 for a field 𝕜. Choose u,v,w∈𝕜^× and set Γ_1←0(x)=ux, Γ_2←1(x)=vx, Γ_2←0(x)=wx, with reverse transports given by inverse scalars. Then Δ_2,1,0(x)=(vu-w)x, and the triangle holonomy based at 0 is H_2,1,0(x)=w^-1vux. Therefore H_2,1,0-id =w^-1Δ_2,1,0. The connection is flat on this triangle exactly when vu=w. If the three coordinate systems are literally the same and canonical transport is used, then u=v=w=1 and the obstruction vanishes. Choosing …
Exact mathematical passage
H_{2,1,0}(x)=w^{-1}vux.
w^2Use in source · 1 passage
Search aliases: w^2
Use in source · visual_atlas.tex, line 217
Now represent the nonlinear operation F(x,y)=(x+y,xy) in the new chart. Set w=u+v-u^2. Its correct coordinate formula is widehat F_b(u,v)= A F S(u,v) =(w, u(v-u^2)+w^2). For (x,y)=(1,2), applying F first gives (3,2) and then (3,11) in the new chart. Changing the input first gives (u,v)=(1,3), and widehat F_b(1,3)=(3,11) as well.
Exact mathematical passage
\widehat F_b(u,v)=\mathcal A F\mathcal S(u,v) =\bigl(w,\ u(v-u^2)+w^2\bigr).
W_0Use in source · 3 passages
Search aliases: W_0
Use in source · Read passage · 04_correction_transport.tex, line 703
Let A be a transport system on copies of a fixed vector space V_0, and let B be a transport system on copies of a fixed vector space W_0. Fix a root r and an isomorphism U_r:V_0⟶ W_0.
Exact mathematical passage
W_0
\wedgeUse in source · 3 passages
Search aliases: wedge
Use in source · Read passage · 04_correction_transport.tex, line 1121
[Curvature of a projected connection] Let P be a smooth orthogonal projector valued map on a parameter manifold. The connection ∇=P d on the range bundle has curvature F=P(dPwedge dP)P.
Exact mathematical passage
\Fcal=P(dP\wedge dP)P.
\widehat FUse in source · 9 passages
Search aliases: widehat F widehat
Use in source · Read passage · 01_finite_coordinates.tex, line 511
If F:X→ Y is linear and P^a, P^b are source packet systems while Q^r, Q^s are target packet systems, put widehat F_r← a = A^Y_rF S^X_a.
Exact mathematical passage
\widehat F_{r\leftarrow a} = \cA^Y_rF\cS^X_a.
\widehat fUse in source · 2 passages
Search aliases: widehat f widehat
Use in source · visual_atlas.tex, line 477
For a canonical coordinate change with input and output chart v=2x, the target formula is not still v^2. It is widehat f_b(v)=2f(v/2)=fracv^22. Consequently widehat f_b(2x)=2x^2, and the exact coordinate defect vanishes. This is the same distinction illustrated in the example in two dimensions on V10.
Exact mathematical passage
\widehat f_b(v)=2f(v/2)=\frac{v^2}{2}.
\widehat F_bUse in source · 2 passages
Search aliases: widehat F_b widehat
Use in source · visual_atlas.tex, line 217
Now represent the nonlinear operation F(x,y)=(x+y,xy) in the new chart. Set w=u+v-u^2. Its correct coordinate formula is widehat F_b(u,v)= A F S(u,v) =(w, u(v-u^2)+w^2). For (x,y)=(1,2), applying F first gives (3,2) and then (3,11) in the new chart. Changing the input first gives (u,v)=(1,3), and widehat F_b(1,3)=(3,11) as well.
Exact mathematical passage
\widehat F_b(u,v)=\mathcal A F\mathcal S(u,v) =\bigl(w,\ u(v-u^2)+w^2\bigr).
\widehat f_bUse in source · 2 passages
Search aliases: widehat f_b widehat
Use in source · visual_atlas.tex, line 477
For a canonical coordinate change with input and output chart v=2x, the target formula is not still v^2. It is widehat f_b(v)=2f(v/2)=fracv^22. Consequently widehat f_b(2x)=2x^2, and the exact coordinate defect vanishes. This is the same distinction illustrated in the example in two dimensions on V10.
Exact mathematical passage
\widehat f_b(v)=2f(v/2)=\frac{v^2}{2}.
\widehat F_{r\leftarrow a}Use in source · 5 passages
Search aliases: widehat F_r← a widehat leftarrow
Use in source · Read passage · 01_finite_coordinates.tex, line 511
If F:X→ Y is linear and P^a, P^b are source packet systems while Q^r, Q^s are target packet systems, put widehat F_r← a = A^Y_rF S^X_a.
Exact mathematical passage
\widehat F_{r\leftarrow a} = \cA^Y_rF\cS^X_a.
\widehat F_{s\leftarrow b}Use in source · 2 passages
Search aliases: widehat F_s← b widehat leftarrow
Use in source · Read passage · 01_finite_coordinates.tex, line 520
[Canonical coordinate naturality] The exact coordinate representation preserves typed composition and satisfies J^Y_s← rwidehat F_r← a = widehat F_s← bJ^X_b← a. statusleanpriorKomorebi.PaperII.NestedRefinement.coordinateOperator_comp; Komorebi.PaperII.NestedRefinement.coordinateOperator_naturality
Exact mathematical passage
J^Y_{s\leftarrow r}\widehat F_{r\leftarrow a} = \widehat F_{s\leftarrow b}J^X_{b\leftarrow a}.
\widehat GUse in source · 1 passage
Search aliases: widehat G widehat
Use in source · Read passage · 02_connections_obstructions.tex, line 740
tarrow r= A^Y_s∘ S^Y_r, and define widehat F_r← a = A^Y_r∘ F∘ S^X_a. Then J^Y_s← r∘widehat F_r← a = widehat F_s← b∘ J^X_b← a. If A^Z_t:Zxrightarrow∼Z_t is another exact coordinate equivalence and G:Y→ Z is any function, then exact coordinate representation also preserves composition: widehatG∘ F_t← a = widehat G_t← r∘widehat F_r← a. statusleanthreeKomorebi.PaperIII.Transport.exactCoordinateMap; Komorebi.PaperIII.Transport.exactCoordinateMap_comp; Komorebi.PaperIII.Transport.exactCoordinateMap_na…
Exact mathematical passage
\widehat{G\circ F}_{t\leftarrow a} = \widehat G_{t\leftarrow r}\circ\widehat F_{r\leftarrow a}.
\widehat G_{t\leftarrow r}Use in source · 1 passage
Search aliases: widehat G_t← r widehat leftarrow
Use in source · Read passage · 02_connections_obstructions.tex, line 740
tarrow r= A^Y_s∘ S^Y_r, and define widehat F_r← a = A^Y_r∘ F∘ S^X_a. Then J^Y_s← r∘widehat F_r← a = widehat F_s← b∘ J^X_b← a. If A^Z_t:Zxrightarrow∼Z_t is another exact coordinate equivalence and G:Y→ Z is any function, then exact coordinate representation also preserves composition: widehatG∘ F_t← a = widehat G_t← r∘widehat F_r← a. statusleanthreeKomorebi.PaperIII.Transport.exactCoordinateMap; Komorebi.PaperIII.Transport.exactCoordinateMap_comp; Komorebi.PaperIII.Transport.exactCoordinateMap_na…
Exact mathematical passage
\widehat{G\circ F}_{t\leftarrow a} = \widehat G_{t\leftarrow r}\circ\widehat F_{r\leftarrow a}.
\widehat hUse in source · 4 passages
Search aliases: widehat h widehat
Use in source · Read passage · 04_correction_transport.tex, line 572
[Second Schur derivative] For retained directions h,k, set widehat h=(h,Dφ h), widehat k=(k,Dφ k). Then D^2φ[h,k] = -A^-1D^2F_Q[widehat h,widehat k] and D^2R[h,k] = D^2F_P[widehat h,widehat k] - D_vF_P A^-1D^2F_Q[widehat h,widehat k]. All derivatives on the right are evaluated at (u_0,v_0).
Exact mathematical passage
\widehat h=(h,D\varphi h), \qquad \widehat k=(k,D\varphi k).
\widehat kUse in source · 4 passages
Search aliases: widehat k widehat
Use in source · Read passage · 04_correction_transport.tex, line 572
[Second Schur derivative] For retained directions h,k, set widehat h=(h,Dφ h), widehat k=(k,Dφ k). Then D^2φ[h,k] = -A^-1D^2F_Q[widehat h,widehat k] and D^2R[h,k] = D^2F_P[widehat h,widehat k] - D_vF_P A^-1D^2F_Q[widehat h,widehat k]. All derivatives on the right are evaluated at (u_0,v_0).
Exact mathematical passage
\widehat h=(h,D\varphi h), \qquad \widehat k=(k,D\varphi k).
\widehat{G\circ F}Use in source · 1 passage
Search aliases: widehatG∘ F widehat circ
Use in source · Read passage · 02_connections_obstructions.tex, line 740
tarrow r= A^Y_s∘ S^Y_r, and define widehat F_r← a = A^Y_r∘ F∘ S^X_a. Then J^Y_s← r∘widehat F_r← a = widehat F_s← b∘ J^X_b← a. If A^Z_t:Zxrightarrow∼Z_t is another exact coordinate equivalence and G:Y→ Z is any function, then exact coordinate representation also preserves composition: widehatG∘ F_t← a = widehat G_t← r∘widehat F_r← a. statusleanthreeKomorebi.PaperIII.Transport.exactCoordinateMap; Komorebi.PaperIII.Transport.exactCoordinateMap_comp; Komorebi.PaperIII.Transport.exactCoordinateMap_na…
Exact mathematical passage
\widehat{G\circ F}_{t\leftarrow a} = \widehat G_{t\leftarrow r}\circ\widehat F_{r\leftarrow a}.
\widehat{G\circ F}_{t\leftarrow a}Use in source · 1 passage
Search aliases: widehatG∘ F_t← a widehat circ leftarrow
Use in source · Read passage · 02_connections_obstructions.tex, line 740
tarrow r= A^Y_s∘ S^Y_r, and define widehat F_r← a = A^Y_r∘ F∘ S^X_a. Then J^Y_s← r∘widehat F_r← a = widehat F_s← b∘ J^X_b← a. If A^Z_t:Zxrightarrow∼Z_t is another exact coordinate equivalence and G:Y→ Z is any function, then exact coordinate representation also preserves composition: widehatG∘ F_t← a = widehat G_t← r∘widehat F_r← a. statusleanthreeKomorebi.PaperIII.Transport.exactCoordinateMap; Komorebi.PaperIII.Transport.exactCoordinateMap_comp; Komorebi.PaperIII.Transport.exactCoordinateMap_na…
Exact mathematical passage
\widehat{G\circ F}_{t\leftarrow a} = \widehat G_{t\leftarrow r}\circ\widehat F_{r\leftarrow a}.
\widehat\PhiUse in source · 1 passage
Search aliases: widehatΦ widehat Phi
Use in source · Read passage · 02_connections_obstructions.tex, line 889
For coordinate models of the source and target colors, an additive target coordinate space, and a chosen noncanonical connection, a pointwise node defect can be defined by D^Γ_b,a(Φ) = Γ^Y_b← a∘widehatΦ_a - widehatΦ_b∘ (∏_qΓ^X_q_b← a). This expression compares two chosen routes. With canonical exact transport in every slot it vanishes by [source reference].
Exact mathematical passage
\mathfrak D^\Gamma_{b,a}(\Phi) = \Gamma^Y_{b\leftarrow a}\circ\widehat\Phi_a - \widehat\Phi_b\circ \left(\prod_q\Gamma^{X_q}_{b\leftarrow a}\right).
\widehat\Phi_aUse in source · 1 passage
Search aliases: widehatΦ_a widehat Phi
Use in source · Read passage · 02_connections_obstructions.tex, line 889
For coordinate models of the source and target colors, an additive target coordinate space, and a chosen noncanonical connection, a pointwise node defect can be defined by D^Γ_b,a(Φ) = Γ^Y_b← a∘widehatΦ_a - widehatΦ_b∘ (∏_qΓ^X_q_b← a). This expression compares two chosen routes. With canonical exact transport in every slot it vanishes by [source reference].
Exact mathematical passage
\mathfrak D^\Gamma_{b,a}(\Phi) = \Gamma^Y_{b\leftarrow a}\circ\widehat\Phi_a - \widehat\Phi_b\circ \left(\prod_q\Gamma^{X_q}_{b\leftarrow a}\right).
\widehat\Phi_bUse in source · 1 passage
Search aliases: widehatΦ_b widehat Phi
Use in source · Read passage · 02_connections_obstructions.tex, line 889
For coordinate models of the source and target colors, an additive target coordinate space, and a chosen noncanonical connection, a pointwise node defect can be defined by D^Γ_b,a(Φ) = Γ^Y_b← a∘widehatΦ_a - widehatΦ_b∘ (∏_qΓ^X_q_b← a). This expression compares two chosen routes. With canonical exact transport in every slot it vanishes by [source reference].
Exact mathematical passage
\mathfrak D^\Gamma_{b,a}(\Phi) = \Gamma^Y_{b\leftarrow a}\circ\widehat\Phi_a - \widehat\Phi_b\circ \left(\prod_q\Gamma^{X_q}_{b\leftarrow a}\right).
x'Use in source · 6 passages
Search aliases: x'
Use in source · Read passage · 04_correction_transport.tex, line 83
· ≤ (1-q)ρ+qρ =ρ. Also, Ψ(x)-Ψ(x') ≤ q x-x' . The contraction mapping theorem gives a unique fixed point in the stated set. Applying D to the fixed point identity gives the equation. Conversely, a solution in X_R equals R(Dx) and is therefore a fixed point of Ψ.
Exact mathematical passage
\|\Psi(x)-\Psi(x')\| \le q\|x-x'\|.
x^2Use in source · 19 passages
Search aliases: x^2
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 253
[htbp] centering includegraphics[width=.96linewidth]packet_jet_worked_example.pdf captionSecond packet jets for F(x,y)=(x+xy,y+x^2) at the origin. Coordinate axis projectors give DF(0)=I. The first output has mixed second derivatives equal to one, while the second has a repeated first input derivative equal to two. Each grid records the ordered pair of input packets. The mixed entries retain an interaction that diagonal restrictions would lose.
Exact mathematical passage
F(x,y)=(x+xy,y+x^2)
X^{\Pcal}Use in source · 1 passage
Search aliases: X^Pcal X^ P Pcal mathcal
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 91
Let X be a module over a unital ring. A finite packet system on X is a family P=(P_α)_α∈ I⊆End(X) of nonzero idempotents such that P_α P_β=0 when α≠β, ∑_α∈ IP_α=I_X. Write X_α=P_α X, X^ P=⊕_α∈ IX_α. The analysis and synthesis maps are A_ Px=(P_α x)_α, S_ P(x_α)_α=∑_α x_α. They are inverse isomorphisms.
Exact mathematical passage
X_\alpha=P_\alpha X, \qquad X^{\Pcal}=\bigoplus_{\alpha\in I}X_\alpha.
X^rUse in source · 2 passages
Search aliases: X^r
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 208
R or C and let the packet projectors on both spaces be bounded. In the complex case, derivatives are complex Fr echet derivatives and the Taylor integral below has a real parameter. Assume that F:X→ Y is m times continuously Fr echet differentiable. The same local statements hold on open domains containing the points and segments in question. For 1≤ r≤ m, the derivative D^rF(x):X^r⟶ Y is a continuous symmetric multilinear map.
Exact mathematical passage
D^rF(x):X^r\longrightarrow Y
x_0Use in source · 4 passages
Search aliases: x_0
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 860
y[Several refinement levels] Let C_ℓ:X_ℓ+1→ X_ℓ for 0≤ℓ<m. Suppose x_ℓ is a fixed point at level ℓ, the coarse map at level ℓ has contraction constant q_ℓ<1, and the adjacent defect at x_ℓ+1 is at most ε_ℓ. Write C_a,b=C_aC_a+1⋯ C_b-1 for a<b, C_a,a=I. Then C_0,mx_m-x_0 ≤ ∑_ℓ=0^m-1 C_0,ℓ fracε_ℓ1-q_ℓ.
Exact mathematical passage
\|C_{0,m}x_m-x_0\| \le \sum_{\ell=0}^{m-1} \|C_{0,\ell}\| \frac{\varepsilon_\ell}{1-q_\ell}.
X_1Use in source · 4 passages
Search aliases: X_1
Use in source · Read passage · 04_correction_transport.tex, line 116
[Local Lyapunov Schmidt reduction] Let U⊆ X be an open neighborhood of zero and let F: U→ Y be a C^r map between Banach spaces with r≥1, F(0)=0, and L=DF(0). Assume there are closed decompositions X=K⊕ X_1, Y=R⊕ O, where K=Ker L, R=im L, and L_1=L|_X_1:X_1⟶ R is a Banach space isomorphism. Let π_R and π_O be the two projections on Y. Then there are neighborhoods U_K⊆ K and U_1⊆ X_1 of zero and a unique C^r map ψ:U_K⟶ U_1 with ψ(0)=0 such that π_RF(k+ψ(k))=0 for every k∈ U_K. After the neighborho…
Exact mathematical passage
X=K\oplus X_1, \qquad Y=R\oplus O,
x_1Use in source · 6 passages
Search aliases: x_1
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 195
[A mixed quadratic map] Let X=Y=𝕜^2 with coordinate packets. For F(x_1,x_2)=(x_1x_2,x_1^2+x_2), the first output packet depends on both input packets. The second output packet contains a quadratic contribution from the first input packet and a linear contribution from the second. Packet coordinates record these interactions exactly. Replacing F by the two diagonal restrictions would lose the product x_1x_2.
Exact mathematical passage
F(x_1,x_2)=(x_1x_2,x_1^2+x_2),
x_1^2Use in source · 1 passage
Search aliases: x_1^2
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 195
[A mixed quadratic map] Let X=Y=𝕜^2 with coordinate packets. For F(x_1,x_2)=(x_1x_2,x_1^2+x_2), the first output packet depends on both input packets. The second output packet contains a quadratic contribution from the first input packet and a linear contribution from the second. Packet coordinates record these interactions exactly. Replacing F by the two diagonal restrictions would lose the product x_1x_2.
Exact mathematical passage
F(x_1,x_2)=(x_1x_2,x_1^2+x_2),
x_2Use in source · 3 passages
Search aliases: x_2
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 195
[A mixed quadratic map] Let X=Y=𝕜^2 with coordinate packets. For F(x_1,x_2)=(x_1x_2,x_1^2+x_2), the first output packet depends on both input packets. The second output packet contains a quadratic contribution from the first input packet and a linear contribution from the second. Packet coordinates record these interactions exactly. Replacing F by the two diagonal restrictions would lose the product x_1x_2.
Exact mathematical passage
F(x_1,x_2)=(x_1x_2,x_1^2+x_2),
X_aUse in source · 1 passage
Search aliases: X_a
Use in source · Read passage · 02_connections_obstructions.tex, line 713
[Exact naturality for arbitrary functions] Let A^X_a:Xxrightarrow∼X_a and A^X_b:Xxrightarrow∼X_b be exact coordinate equivalences for X, with inverses S^X_a and S^X_b. Likewise, let A^Y_r:Yxrightarrow∼Y_r and A^Y_s:Yxrightarrow∼Y_s be exact coordinate equivalences for Y, with inverses S^Y_r and S^Y_s. Let F:X→ Y be any function, with no linearity or differentiability hypothesis. Set J^X_b← a= A^X_b∘ S^X_a, J^Y_s← r= A^Y_s∘ S^Y_r, and define widehat F_r← a = A^Y_r∘ F∘ S^X_a. Then J^Y_s← r∘widehat…
Exact mathematical passage
\cA^X_a:X\xrightarrow{\sim}X_a
X_bUse in source · 1 passage
Search aliases: X_b
Use in source · Read passage · 02_connections_obstructions.tex, line 714
[Exact naturality for arbitrary functions] Let A^X_a:Xxrightarrow∼X_a and A^X_b:Xxrightarrow∼X_b be exact coordinate equivalences for X, with inverses S^X_a and S^X_b. Likewise, let A^Y_r:Yxrightarrow∼Y_r and A^Y_s:Yxrightarrow∼Y_s be exact coordinate equivalences for Y, with inverses S^Y_r and S^Y_s. Let F:X→ Y be any function, with no linearity or differentiability hypothesis. Set J^X_b← a= A^X_b∘ S^X_a, J^Y_s← r= A^Y_s∘ S^Y_r, and define widehat F_r← a = A^Y_r∘ F∘ S^X_a. Then J^Y_s← r∘widehat…
Exact mathematical passage
\cA^X_b:X\xrightarrow{\sim}X_b
X_cUse in source · 4 passages
Search aliases: X_c
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 722
Let F_f:X_f⟶ Y_f, F_c:X_c⟶ Y_c be fine and coarse maps. Let C_X:X_f⟶ X_c, C_Y:Y_f⟶ Y_c be linear coarsening maps. Whenever a norm, a Lipschitz constant, or a Fr echet derivative is used, the spaces are Banach spaces and the coarsening maps are bounded.
Exact mathematical passage
F_f:X_f\longrightarrow Y_f, \qquad F_c:X_c\longrightarrow Y_c
x_cUse in source · 3 passages
Search aliases: x_c
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 822
[Fixed point stability] Assume F_c is a contraction with constant q<1. Let x_f and x_c be fixed points of F_f and F_c. If Δ_F(x_f) ≤ε, then Cx_f-x_c ≤ fracε1-q. When the defect at x_f is zero, the fixed points are compatible.
Exact mathematical passage
x_c
X_fUse in source · 4 passages
Search aliases: X_f
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 722
Let F_f:X_f⟶ Y_f, F_c:X_c⟶ Y_c be fine and coarse maps. Let C_X:X_f⟶ X_c, C_Y:Y_f⟶ Y_c be linear coarsening maps. Whenever a norm, a Lipschitz constant, or a Fr echet derivative is used, the spaces are Banach spaces and the coarsening maps are bounded.
Exact mathematical passage
F_f:X_f\longrightarrow Y_f, \qquad F_c:X_c\longrightarrow Y_c
x_fUse in source · 5 passages
Search aliases: x_f
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 822
[Fixed point stability] Assume F_c is a contraction with constant q<1. Let x_f and x_c be fixed points of F_f and F_c. If Δ_F(x_f) ≤ε, then Cx_f-x_c ≤ fracε1-q. When the defect at x_f is zero, the fixed points are compatible.
Exact mathematical passage
x_f
X_iUse in source · 2 passages
Search aliases: X_i
Use in source · Read passage · 01_finite_coordinates.tex, line 144
[Current fiber scope] The compiled Paper III model above has one scalar coordinate per packet. For a family of modules (X_i)_i∈ V, an intrinsic edge map would instead have type ℓ_e:X_src(e)→ X_tgt(e), and its totalization on ⊕_iX_i would be ι_tgt(e)ℓ_eπ_src(e). The same support proof applies, but this generalization with dependent fibers is not attributed to the released Paper III modules for scalar edge systems.
Exact mathematical passage
(X_i)_{i\in V}
x_iUse in source · 3 passages
Search aliases: x_i
Use in source · Read passage · 01_finite_coordinates.tex, line 365
Expand (T^nx)_j=∑_i(T^n)_jix_i. Terms with i∉ S vanish by the support of x, and terms with i∈ S vanish by [source reference]. The final claim follows because the j-coordinate also vanishes on every finite linear combination of orbit vectors.
Exact mathematical passage
(T^nx)_j=\sum_i(T^n)_{ji}x_i
x_m'Use in source · 3 passages
Search aliases: x_m'
Use in source · Read passage · 04_correction_transport.tex, line 364
[Naturality of filtered obstructions] Suppose a morphism of filtered lifting problems sends x_m to x_m', intertwines L_m with L_m', and sends Φ(x_m) to Φ'(x_m') on the associated graded pieces. Then the induced cokernel map sends Ob_m(x_m) to Ob_m'(x_m').
Exact mathematical passage
x_m'
x_{m+1}Use in source · 3 passages
Search aliases: x_m+1
Use in source · Read passage · 04_correction_transport.tex, line 319
Choose representatives recursively. Once x_m represents the selected depth m vertex, choose a representative x_m+1 of its selected child with x_m+1-x_m∈ F^mX. The resulting sequence is Cauchy for the filtration topology. Each representative satisfies Φ(x_m)∈ F^mY. The conclusion now follows from [source reference].
Exact mathematical passage
x_{m+1}
x_nUse in source · 1 passage
Search aliases: x_n
Use in source · Read passage · 04_correction_transport.tex, line 352
For every fixed r, the congruences imply x_n-x_m∈ F^rX whenever n≥ m≥ r. Thus (x_m) is Cauchy for the filtration topology. Completeness gives a limit x_∞.
Exact mathematical passage
x_n-x_m\in F^rX
X_qUse in source · 1 passage
Search aliases: X_q
Use in source · Read passage · 02_connections_obstructions.tex, line 889
For coordinate models of the source and target colors, an additive target coordinate space, and a chosen noncanonical connection, a pointwise node defect can be defined by D^Γ_b,a(Φ) = Γ^Y_b← a∘widehatΦ_a - widehatΦ_b∘ (∏_qΓ^X_q_b← a). This expression compares two chosen routes. With canonical exact transport in every slot it vanishes by [source reference].
Exact mathematical passage
\mathfrak D^\Gamma_{b,a}(\Phi) = \Gamma^Y_{b\leftarrow a}\circ\widehat\Phi_a - \widehat\Phi_b\circ \left(\prod_q\Gamma^{X_q}_{b\leftarrow a}\right).
X_RUse in source · 7 passages
Search aliases: X_R
Use in source · Read passage · 04_correction_transport.tex, line 43
[Right inverse correction theorem] Let D:X→ Y be a bounded linear map between Banach spaces. Assume Z=im D is closed and there is a bounded linear right inverse R:Z⟶ X, DR=I_Z. Put X_R=R(Z). Let N:overline B_ρ(0)∩ X_R⟶ Z be L Lipschitz. Let y∈ Z and put q= R L. Assume q<1 and R(y-N(0)) ≤ (1-q)ρ. Then the equation Dx+N(x)=y has a unique solution in overline B_ρ(0)∩ X_R.
Exact mathematical passage
X_R=R(Z)
X_{\src(e)}Use in source · 1 passage
Search aliases: X_src(e) src operatorname
Use in source · Read passage · 01_finite_coordinates.tex, line 145
[Current fiber scope] The compiled Paper III model above has one scalar coordinate per packet. For a family of modules (X_i)_i∈ V, an intrinsic edge map would instead have type ℓ_e:X_src(e)→ X_tgt(e), and its totalization on ⊕_iX_i would be ι_tgt(e)ℓ_eπ_src(e). The same support proof applies, but this generalization with dependent fibers is not attributed to the released Paper III modules for scalar edge systems.
Exact mathematical passage
\ell_e:X_{\src(e)}\to X_{\tgt(e)}
X_{\tgt(e)}Use in source · 1 passage
Search aliases: X_tgt(e) tgt operatorname
Use in source · Read passage · 01_finite_coordinates.tex, line 145
[Current fiber scope] The compiled Paper III model above has one scalar coordinate per packet. For a family of modules (X_i)_i∈ V, an intrinsic edge map would instead have type ℓ_e:X_src(e)→ X_tgt(e), and its totalization on ⊕_iX_i would be ι_tgt(e)ℓ_eπ_src(e). The same support proof applies, but this generalization with dependent fibers is not attributed to the released Paper III modules for scalar edge systems.
Exact mathematical passage
\ell_e:X_{\src(e)}\to X_{\tgt(e)}
X_\alphaUse in source · 3 passages
Search aliases: X_α alpha
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 91
Let X be a module over a unital ring. A finite packet system on X is a family P=(P_α)_α∈ I⊆End(X) of nonzero idempotents such that P_α P_β=0 when α≠β, ∑_α∈ IP_α=I_X. Write X_α=P_α X, X^ P=⊕_α∈ IX_α. The analysis and synthesis maps are A_ Px=(P_α x)_α, S_ P(x_α)_α=∑_α x_α. They are inverse isomorphisms.
Exact mathematical passage
X_\alpha=P_\alpha X, \qquad X^{\Pcal}=\bigoplus_{\alpha\in I}X_\alpha.
X_{\alpha_i}Use in source · 1 passage
Search aliases: X_α_i alpha
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 352
[Packet Fa a di Bruno formula] Let n≥1, let X,Y,Z be Banach spaces over the same real or complex field, and let G:X→ Y and F:Y→ Z be n times continuously Fr echet differentiable. Let P, Q, and R be packet systems on X, Y, and Z. Fix input packets α_1,…,α_n, an output packet δ, and directions h_i∈ X_α_i. Then · J^n_δmidα_1,…,α_n(F∘ G)(x) [h_1,…,h_n]
Exact mathematical passage
h_i\in X_{\alpha_i}
X_{\alpha_j}Use in source · 1 passage
Search aliases: X_α_j alpha
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 277
For h_j∈ X_α_j, the inherited norm gives Q_γ D^rF(x)[h_1,…,h_r] ≤ Q_γ D^rF(x) ∏_j h_j . Taking the multilinear operator norm proves the sharper restricted estimate. For ambient inputs, replace h_j by P_α_jh_j and apply the operator norm bound to each projector. Every nonzero idempotent has norm at least one, since it fixes a nonzero vector in its range. The displayed product bound therefore also follows for the restricted jet. If a zero packet is retained as a redundant index, multilinearity mak…
Exact mathematical passage
h_j\in X_{\alpha_j}
X_\ellUse in source · 1 passage
Search aliases: X_ℓ ell
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 852
[Several refinement levels] Let C_ℓ:X_ℓ+1→ X_ℓ for 0≤ℓ<m. Suppose x_ℓ is a fixed point at level ℓ, the coarse map at level ℓ has contraction constant q_ℓ<1, and the adjacent defect at x_ℓ+1 is at most ε_ℓ. Write C_a,b=C_aC_a+1⋯ C_b-1 for a<b, C_a,a=I. Then C_0,mx_m-x_0 ≤ ∑_ℓ=0^m-1 C_0,ℓ fracε_ℓ1-q_ℓ.
Exact mathematical passage
C_\ell:X_{\ell+1}\to X_\ell
x_\ellUse in source · 2 passages
Search aliases: x_ℓ ell
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 852
[Several refinement levels] Let C_ℓ:X_ℓ+1→ X_ℓ for 0≤ℓ<m. Suppose x_ℓ is a fixed point at level ℓ, the coarse map at level ℓ has contraction constant q_ℓ<1, and the adjacent defect at x_ℓ+1 is at most ε_ℓ. Write C_a,b=C_aC_a+1⋯ C_b-1 for a<b, C_a,a=I. Then C_0,mx_m-x_0 ≤ ∑_ℓ=0^m-1 C_0,ℓ fracε_ℓ1-q_ℓ.
Exact mathematical passage
x_\ell
X_{\ell+1}Use in source · 1 passage
Search aliases: X_ℓ+1 ell
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 852
[Several refinement levels] Let C_ℓ:X_ℓ+1→ X_ℓ for 0≤ℓ<m. Suppose x_ℓ is a fixed point at level ℓ, the coarse map at level ℓ has contraction constant q_ℓ<1, and the adjacent defect at x_ℓ+1 is at most ε_ℓ. Write C_a,b=C_aC_a+1⋯ C_b-1 for a<b, C_a,a=I. Then C_0,mx_m-x_0 ≤ ∑_ℓ=0^m-1 C_0,ℓ fracε_ℓ1-q_ℓ.
Exact mathematical passage
C_\ell:X_{\ell+1}\to X_\ell
x_{\ell+1}Use in source · 1 passage
Search aliases: x_ℓ+1 ell
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 852
[Several refinement levels] Let C_ℓ:X_ℓ+1→ X_ℓ for 0≤ℓ<m. Suppose x_ℓ is a fixed point at level ℓ, the coarse map at level ℓ has contraction constant q_ℓ<1, and the adjacent defect at x_ℓ+1 is at most ε_ℓ. Write C_a,b=C_aC_a+1⋯ C_b-1 for a<b, C_a,a=I. Then C_0,mx_m-x_0 ≤ ∑_ℓ=0^m-1 C_0,ℓ fracε_ℓ1-q_ℓ.
Exact mathematical passage
x_{\ell+1}
x_\inftyUse in source · 6 passages
Search aliases: x_∞ infty
Use in source · Read passage · 04_correction_transport.tex, line 343
[Complete filtered lifting] Assume there is a compatible sequence x_m+1≡ x_mpmodF^mX with Φ(x_m)∈ F^mY for every m. Then x_m converges to an element x_∞∈ X and Φ(x_∞)=0. In particular, if the obstruction vanishes at every depth and compatible corrections are chosen, an exact solution exists.
Exact mathematical passage
x_\infty\in X
y'Use in source · 3 passages
Search aliases: y'
Use in source · Read passage · 04_correction_transport.tex, line 95
[Stability with respect to the target] Under the hypotheses of [source reference], let x and x' be the fixed points associated with targets y and y'. If both fixed point maps preserve the same ball, then x-x' ≤ frac R 1-q y-y' .
Exact mathematical passage
y'
Y_cUse in source · 5 passages
Search aliases: Y_c
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 722
Let F_f:X_f⟶ Y_f, F_c:X_c⟶ Y_c be fine and coarse maps. Let C_X:X_f⟶ X_c, C_Y:Y_f⟶ Y_c be linear coarsening maps. Whenever a norm, a Lipschitz constant, or a Fr echet derivative is used, the spaces are Banach spaces and the coarsening maps are bounded.
Exact mathematical passage
F_f:X_f\longrightarrow Y_f, \qquad F_c:X_c\longrightarrow Y_c
Y_fUse in source · 3 passages
Search aliases: Y_f
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 722
Let F_f:X_f⟶ Y_f, F_c:X_c⟶ Y_c be fine and coarse maps. Let C_X:X_f⟶ X_c, C_Y:Y_f⟶ Y_c be linear coarsening maps. Whenever a norm, a Lipschitz constant, or a Fr echet derivative is used, the spaces are Banach spaces and the coarsening maps are bounded.
Exact mathematical passage
F_f:X_f\longrightarrow Y_f, \qquad F_c:X_c\longrightarrow Y_c
Y_PUse in source · 2 passages
Search aliases: Y_P
Use in source · Read passage · 04_correction_transport.tex, line 497
Let U,V,Y_P,Y_Q be Banach spaces. On an open neighborhood of (u_0,v_0)∈ U× V, split the variables and equations as x=(u,v), F(u,v)= F_P(u,v)
Exact mathematical passage
U,V,Y_P,Y_Q
Y_QUse in source · 3 passages
Search aliases: Y_Q
Use in source · Read passage · 04_correction_transport.tex, line 497
Let U,V,Y_P,Y_Q be Banach spaces. On an open neighborhood of (u_0,v_0)∈ U× V, split the variables and equations as x=(u,v), F(u,v)= F_P(u,v)
Exact mathematical passage
U,V,Y_P,Y_Q
Y_rUse in source · 1 passage
Search aliases: Y_r
Use in source · Read passage · 02_connections_obstructions.tex, line 716
[Exact naturality for arbitrary functions] Let A^X_a:Xxrightarrow∼X_a and A^X_b:Xxrightarrow∼X_b be exact coordinate equivalences for X, with inverses S^X_a and S^X_b. Likewise, let A^Y_r:Yxrightarrow∼Y_r and A^Y_s:Yxrightarrow∼Y_s be exact coordinate equivalences for Y, with inverses S^Y_r and S^Y_s. Let F:X→ Y be any function, with no linearity or differentiability hypothesis. Set J^X_b← a= A^X_b∘ S^X_a, J^Y_s← r= A^Y_s∘ S^Y_r, and define widehat F_r← a = A^Y_r∘ F∘ S^X_a. Then J^Y_s← r∘widehat…
Exact mathematical passage
\cA^Y_r:Y\xrightarrow{\sim}Y_r
Y_sUse in source · 1 passage
Search aliases: Y_s
Use in source · Read passage · 02_connections_obstructions.tex, line 717
[Exact naturality for arbitrary functions] Let A^X_a:Xxrightarrow∼X_a and A^X_b:Xxrightarrow∼X_b be exact coordinate equivalences for X, with inverses S^X_a and S^X_b. Likewise, let A^Y_r:Yxrightarrow∼Y_r and A^Y_s:Yxrightarrow∼Y_s be exact coordinate equivalences for Y, with inverses S^Y_r and S^Y_s. Let F:X→ Y be any function, with no linearity or differentiability hypothesis. Set J^X_b← a= A^X_b∘ S^X_a, J^Y_s← r= A^Y_s∘ S^Y_r, and define widehat F_r← a = A^Y_r∘ F∘ S^X_a. Then J^Y_s← r∘widehat…
Exact mathematical passage
\cA^Y_s:Y\xrightarrow{\sim}Y_s
ZUse in source · 15 passages
Search aliases: Z
Use in source · Read passage · 02_connections_obstructions.tex, line 737
^Y_r and S^Y_s. Let F:X→ Y be any function, with no linearity or differentiability hypothesis. Set J^X_b← a= A^X_b∘ S^X_a, J^Y_s← r= A^Y_s∘ S^Y_r, and define widehat F_r← a = A^Y_r∘ F∘ S^X_a. Then J^Y_s← r∘widehat F_r← a = widehat F_s← b∘ J^X_b← a. If A^Z_t:Zxrightarrow∼Z_t is another exact coordinate equivalence and G:Y→ Z is any function, then exact coordinate representation also preserves composition: widehatG∘ F_t← a = widehat G_t← r∘widehat F_r← a. statusleanthreeKomorebi.PaperIII.Transport…
Exact mathematical passage
\cA^Z_t:Z\xrightarrow{\sim}Z_t
\mathbb ZUse in source · 3 passages
Search aliases: Z mathbb
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 597
[Cyclic product formula] For a cyclically graded algebra A=⊕_j∈ Z/N ZA_j, A_iA_j⊆ A_i+j, one has P_k(ab)= ∑_i+j=ka_ib_j.
Exact mathematical passage
A=\bigoplus_{j\in\mathbb Z/N\mathbb Z}A_j, \qquad A_iA_j\subseteq A_{i+j},
zUse in source · 11 passages
Search aliases: z
Use in source · Read passage · 01_finite_coordinates.tex, line 114
For a matrix entry (y,x), (L_fL_e)_yx=∑_z∈ V(L_f)_yz(L_e)_zx. A potentially nonzero summand would require simultaneously z=src(f) and z=tgt(e), contrary to the hypothesis.
Exact mathematical passage
(L_fL_e)_{yx}=\sum_{z\in V}(L_f)_{yz}(L_e)_{zx}.
z^{-1/2}Use in source · 1 passage
Search aliases: z^-1/2
Use in source · Read passage · 04_correction_transport.tex, line 987
P_α(t)+hdot P_α(t)+E_α(t,h), E_α(t,h) ≤ C_1h^2, uniformly in t and α. Hence S( P(t+h), P(t)) = I+hK(t)+E(t,h), E(t,h) ≤ C_2h^2. Since K(t)^*=-K(t), S^*S=I+E_2(t,h), E_2(t,h) ≤ C_3h^2. For small h, the spectrum of S^*S lies in a fixed compact subinterval of (0,∞). The functional calculus for z^-1/2 gives (S^*S)^-1/2=I+E_3(t,h), E_3(t,h) ≤ C_4h^2. Multiplying the last two expansions proves the estimate.
Exact mathematical passage
z^{-1/2}
Z_cUse in source · 2 passages
Search aliases: Z_c
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 749
[Exact defect under composition] Let G_f:Y_f→ Z_f and G_c:Y_c→ Z_c, with coarsening C_Z:Z_f→ Z_c. Then Δ_G∘ F(x) = Δ_G(F_f(x)) + G_c(F_c(C_Xx)+Δ_F(x)) - G_c(F_c(C_Xx)). If G_c is L Lipschitz on the relevant set, then Δ_G∘ F(x) ≤ Δ_G(F_f(x)) + L Δ_F(x) .
Exact mathematical passage
G_c:Y_c\to Z_c
Z_fUse in source · 2 passages
Search aliases: Z_f
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 749
[Exact defect under composition] Let G_f:Y_f→ Z_f and G_c:Y_c→ Z_c, with coarsening C_Z:Z_f→ Z_c. Then Δ_G∘ F(x) = Δ_G(F_f(x)) + G_c(F_c(C_Xx)+Δ_F(x)) - G_c(F_c(C_Xx)). If G_c is L Lipschitz on the relevant set, then Δ_G∘ F(x) ≤ Δ_G(F_f(x)) + L Δ_F(x) .
Exact mathematical passage
G_f:Y_f\to Z_f
z_nUse in source · 2 passages
Search aliases: z_n
Use in source · Read passage · 04_correction_transport.tex, line 65
The space X_R is closed. Indeed, if Rz_n→ x, then z_n=DRz_n→ Dx, so x=R(Dx). Define Ψ(x)=R(y-N(x)). This map takes X_R to itself. For x∈overline B_ρ(0)∩ X_R, Ψ(x) · ≤ R(y-N(0)) + R N(x)-N(0)
Exact mathematical passage
Rz_n\to x
Z_tUse in source · 1 passage
Search aliases: Z_t
Use in source · Read passage · 02_connections_obstructions.tex, line 737
^Y_r and S^Y_s. Let F:X→ Y be any function, with no linearity or differentiability hypothesis. Set J^X_b← a= A^X_b∘ S^X_a, J^Y_s← r= A^Y_s∘ S^Y_r, and define widehat F_r← a = A^Y_r∘ F∘ S^X_a. Then J^Y_s← r∘widehat F_r← a = widehat F_s← b∘ J^X_b← a. If A^Z_t:Zxrightarrow∼Z_t is another exact coordinate equivalence and G:Y→ Z is any function, then exact coordinate representation also preserves composition: widehatG∘ F_t← a = widehat G_t← r∘widehat F_r← a. statusleanthreeKomorebi.PaperIII.Transport…
Exact mathematical passage
\cA^Z_t:Z\xrightarrow{\sim}Z_t
\ZZUse in source · 2 passages
Search aliases: ZZ
Use in source · visual_atlas.tex, line 45
vpage3Read the product in execution orderMODEL A / ONE EDGE IS ONE MATRIX ENTRYTraditional paper: Lemma 2.2 (p. 2), Theorem 2.3 (p. 2), Theorem 2.4 (p. 3) Work over ZZ with packets 0,1,2. Let e:0→1 have coefficient 2, and let f:1→2 have coefficient 3. The elementary operators are L_e=2E_10, L_f=3E_21. The location of the nonzero entry records the type of the transfer, not an arbitrary matrix convention.
Exact mathematical passage
\ZZ
|_KUse in source · 1 passage
Search aliases: |_K
Use in source · Read passage · 04_correction_transport.tex, line 157
Differentiate G(k,ψ(k))=0 at zero. Since L vanishes on K, one obtains L_1Dψ(0)=0, hence Dψ(0)=0. Finally, Dκ(0)=π_OL|_K=0.
Exact mathematical passage
D\kappa(0)=\pi_OL|_K=0.
|_{X_1}Use in source · 1 passage
Search aliases: |_X_1
Use in source · Read passage · 04_correction_transport.tex, line 122
[Local Lyapunov Schmidt reduction] Let U⊆ X be an open neighborhood of zero and let F: U→ Y be a C^r map between Banach spaces with r≥1, F(0)=0, and L=DF(0). Assume there are closed decompositions X=K⊕ X_1, Y=R⊕ O, where K=Ker L, R=im L, and L_1=L|_X_1:X_1⟶ R is a Banach space isomorphism. Let π_R and π_O be the two projections on Y. Then there are neighborhoods U_K⊆ K and U_1⊆ X_1 of zero and a unique C^r map ψ:U_K⟶ U_1 with ψ(0)=0 such that π_RF(k+ψ(k))=0 for every k∈ U_K. After the neighborho…
Exact mathematical passage
L_1=L|_{X_1}:X_1\longrightarrow R
\cdotUse in source · 6 passages
Search aliases: · cdot
Use in source · Read passage · 04_correction_transport.tex, line 396
Let L be a complete filtered differential graded Lie algebra over a ring in which two is invertible. Assume dF^i L⊆ F^i L, [F^i L,F^j L]⊆ F^i+j L. For a degree one element η, put Ω(η)=dη+frac12[η,η]. Suppose Ω(η)∈ F^m L^2 with m≥1. For every h∈ F^m L^1, Ω(η+h) ≡ Ω(η)+d_η h pmodF^m+1 L^2, d_η=d+[η,mathord·]. The obstruction to improving η by one depth is therefore the class of Ω(η) in the cokernel of gr^m(d_η): gr^m L^1 ⟶ gr^m L^2.
Exact mathematical passage
\Omega(\eta+h) \equiv \Omega(\eta)+d_\eta h \pmod{F^{m+1}\Lcal^2}, \qquad d_\eta=d+[\eta,\mathord\cdot].
\alpha_2Use in source · 1 passage
Search aliases: α_2 alpha
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 401
[The second order composition law] At order two, the partition formula has two shapes. For packet directions h_1 and h_2, R_δ D^2(F∘ G)(x)[h_1,h_2] = · ∑_γ_1,γ_2 J^2_δmidγ_1,γ_2F(Gx) [J^1_γ_1midα_1G(x)h_1,J^1_γ_2midα_2G(x)h_2] · + ∑_γ J^1_δmidγF(Gx) [J^2_γmidα_1,α_2G(x)[h_1,h_2]]. The first line records two first order changes entering a quadratic interaction of F. The second records a genuine second order interaction created inside G before F is applied.
Exact mathematical passage
\begin{aligned} R_\delta D^2(F\circ G)(x)[h_1,h_2] ={}& \sum_{\gamma_1,\gamma_2} J^2_{\delta\mid\gamma_1,\gamma_2}F(Gx) [J^1_{\gamma_1\mid\alpha_1}G(x)h_1,J^1_{\gamma_2\mid\alpha_2}G(x)h_2]\\ &+ \sum_\gamma J^1_{\delta\mid\gamma}F(Gx) [J^2_{\gamma\mid\alpha_1,\alpha_2}G(x)[h_1,h_2]]. \end{aligned}
\alpha_iUse in source · 1 passage
Search aliases: α_i alpha
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 352
[Packet Fa a di Bruno formula] Let n≥1, let X,Y,Z be Banach spaces over the same real or complex field, and let G:X→ Y and F:Y→ Z be n times continuously Fr echet differentiable. Let P, Q, and R be packet systems on X, Y, and Z. Fix input packets α_1,…,α_n, an output packet δ, and directions h_i∈ X_α_i. Then · J^n_δmidα_1,…,α_n(F∘ G)(x) [h_1,…,h_n]
Exact mathematical passage
h_i\in X_{\alpha_i}
\alpha_{i_1}Use in source · 1 passage
Search aliases: α_i_1 alpha
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 340
For a block B={i_1<⋯<i_s} and an intermediate packet γ, write G_γ,B(xmid h) = J^s_γmidα_i_1,…,α_i_sG(x) [h_i_1,…,h_i_s].
Exact mathematical passage
G_{\gamma,B}(x\mid h) = J^s_{\gamma\mid\alpha_{i_1},\ldots,\alpha_{i_s}}G(x) [h_{i_1},\ldots,h_{i_s}].
\alpha_{i_s}Use in source · 1 passage
Search aliases: α_i_s alpha
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 340
For a block B={i_1<⋯<i_s} and an intermediate packet γ, write G_γ,B(xmid h) = J^s_γmidα_i_1,…,α_i_sG(x) [h_i_1,…,h_i_s].
Exact mathematical passage
G_{\gamma,B}(x\mid h) = J^s_{\gamma\mid\alpha_{i_1},\ldots,\alpha_{i_s}}G(x) [h_{i_1},\ldots,h_{i_s}].
\alpha_jUse in source · 6 passages
Search aliases: α_j alpha
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 264
[Jet norm bound] Give every packet range its inherited subspace norm. The restricted jet satisfies the sharper estimate J^r_γmidα_1,…,α_rF(x) ≤ Q_γ D^rF(x) . Its ambient extension inserts P_α_j in the jth slot and has norm at most Q_γ D^rF(x) ∏_j P_α_j . Consequently the operator norm of the restricted packet jet also satisfies J^r_γmidα_1,…,α_rF(x) ≤ Q_γ D^rF(x) ∏_j=1^r P_α_j . When all packets are orthogonal projections on Hilbert spaces, every nonzero projector has norm one and the bound redu…
Exact mathematical passage
P_{\alpha_j}
\alpha_nUse in source · 2 passages
Search aliases: α_n alpha
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 352
[Packet Fa a di Bruno formula] Let n≥1, let X,Y,Z be Banach spaces over the same real or complex field, and let G:X→ Y and F:Y→ Z be n times continuously Fr echet differentiable. Let P, Q, and R be packet systems on X, Y, and Z. Fix input packets α_1,…,α_n, an output packet δ, and directions h_i∈ X_α_i. Then · J^n_δmidα_1,…,α_n(F∘ G)(x) [h_1,…,h_n]
Exact mathematical passage
\alpha_1,\ldots,\alpha_n
\betaUse in source · 12 passages
Search aliases: β beta
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 8
A finite family of pairwise annihilating idempotents gives exact coordinates. If P_α P_β=0 for α≠β, ∑_α P_α=I, then every vector is the sum of its packet components. Linear operators become block matrices in these coordinates. A nonlinear map cannot be reconstructed from its diagonal restrictions, since mixed interactions between packet components are usually present. It can still be represented exactly if its input is the complete packet tuple.
Exact mathematical passage
P_\alpha P_\beta=0 \quad\text{for }\alpha\ne\beta, \qquad \sum_\alpha P_\alpha=I,
\Gamma^GUse in source · 1 passage
Search aliases: Γ^G Gamma
Use in source · Read passage · 02_connections_obstructions.tex, line 340
Substitute the definition of Γ^G. Adjacent factors G_b^-1G_b and G_c^-1G_c cancel. In the defect, both the composite and direct terms acquire the same outer factors G_c and G_a^-1. In the loop, all inner factors cancel and only conjugation at the base remains.
Exact mathematical passage
\Gamma^G
\Gamma^{X_q}_{b\leftarrow a}Use in source · 1 passage
Search aliases: Γ^X_q_b← a Gamma leftarrow
Use in source · Read passage · 02_connections_obstructions.tex, line 889
For coordinate models of the source and target colors, an additive target coordinate space, and a chosen noncanonical connection, a pointwise node defect can be defined by D^Γ_b,a(Φ) = Γ^Y_b← a∘widehatΦ_a - widehatΦ_b∘ (∏_qΓ^X_q_b← a). This expression compares two chosen routes. With canonical exact transport in every slot it vanishes by [source reference].
Exact mathematical passage
\mathfrak D^\Gamma_{b,a}(\Phi) = \Gamma^Y_{b\leftarrow a}\circ\widehat\Phi_a - \widehat\Phi_b\circ \left(\prod_q\Gamma^{X_q}_{b\leftarrow a}\right).
\Gamma^Y_{b\leftarrow a}Use in source · 1 passage
Search aliases: Γ^Y_b← a Gamma leftarrow
Use in source · Read passage · 02_connections_obstructions.tex, line 889
For coordinate models of the source and target colors, an additive target coordinate space, and a chosen noncanonical connection, a pointwise node defect can be defined by D^Γ_b,a(Φ) = Γ^Y_b← a∘widehatΦ_a - widehatΦ_b∘ (∏_qΓ^X_q_b← a). This expression compares two chosen routes. With canonical exact transport in every slot it vanishes by [source reference].
Exact mathematical passage
\mathfrak D^\Gamma_{b,a}(\Phi) = \Gamma^Y_{b\leftarrow a}\circ\widehat\Phi_a - \widehat\Phi_b\circ \left(\prod_q\Gamma^{X_q}_{b\leftarrow a}\right).
\Gamma_{0\leftarrow2}Use in source · 4 passages
Search aliases: Γ_0←2 Gamma leftarrow
Use in source · visual_atlas.tex, line 228
l hypothesisMODEL D / THE MINIMAL AND REVERSIBLE INTERFACESTraditional paper: Definition 5.1 (p. 9), Definition 5.5 (p. 11) Choose the forward scalar transports Γ_1←0=2, Γ_2←1=3, and Γ_2←0=5. Their multiplicative comparison between transport through two steps and direct transport is D^×=6/5. A loop also needs a declared return map Γ_0←2.
Exact mathematical passage
\Gamma_{0\leftarrow2}
\gamma_1Use in source · 6 passages
Search aliases: γ_1 gamma
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 353
di Bruno formula] Let n≥1, let X,Y,Z be Banach spaces over the same real or complex field, and let G:X→ Y and F:Y→ Z be n times continuously Fr echet differentiable. Let P, Q, and R be packet systems on X, Y, and Z. Fix input packets α_1,…,α_n, an output packet δ, and directions h_i∈ X_α_i. Then · J^n_δmidα_1,…,α_n(F∘ G)(x) [h_1,…,h_n] · = ∑_π={B_1,…,B_k} ∑_γ_1,…,γ_k J^k_δmidγ_1,…,γ_kF(Gx) [ G_γ_1,B_1(xmid h),…, G_γ_k,B_k(xmid h) ]. The first sum runs over all set partitions of {1,…,n}.
Exact mathematical passage
\begin{aligned} &J^{n}_{\delta\mid\alpha_1,\ldots,\alpha_n}(F\circ G)(x) [h_1,\ldots,h_n]\\ &= \sum_{\pi=\{B_1,\ldots,B_k\}} \sum_{\gamma_1,\ldots,\gamma_k} J^{k}_{\delta\mid\gamma_1,\ldots,\gamma_k}F(Gx) \big[ G_{\gamma_1,B_1}(x\mid h),\ldots, G_{\gamma_k,B_k}(x\mid h) \big]. \end{aligned}
\Gamma_{1\leftarrow0}Use in source · 7 passages
Search aliases: Γ_1←0 Gamma leftarrow
Use in source · Read passage · 02_connections_obstructions.tex, line 667
[A scalar triangle] Let B={0,1,2} and C_0=C_1=C_2=𝕜 for a field 𝕜. Choose u,v,w∈𝕜^× and set Γ_1←0(x)=ux, Γ_2←1(x)=vx, Γ_2←0(x)=wx, with reverse transports given by inverse scalars. Then Δ_2,1,0(x)=(vu-w)x, and the triangle holonomy based at 0 is H_2,1,0(x)=w^-1vux. Therefore H_2,1,0-id =w^-1Δ_2,1,0. The connection is flat on this triangle exactly when vu=w. If the three coordinate systems are literally the same and canonical transport is used, then u=v=w=1 and the obstruction vanishes. Choosing …
Exact mathematical passage
\Gamma_{1\leftarrow0}(x)=ux,\qquad \Gamma_{2\leftarrow1}(x)=vx,\qquad \Gamma_{2\leftarrow0}(x)=wx,
\gamma_2Use in source · 4 passages
Search aliases: γ_2 gamma
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 401
[The second order composition law] At order two, the partition formula has two shapes. For packet directions h_1 and h_2, R_δ D^2(F∘ G)(x)[h_1,h_2] = · ∑_γ_1,γ_2 J^2_δmidγ_1,γ_2F(Gx) [J^1_γ_1midα_1G(x)h_1,J^1_γ_2midα_2G(x)h_2] · + ∑_γ J^1_δmidγF(Gx) [J^2_γmidα_1,α_2G(x)[h_1,h_2]]. The first line records two first order changes entering a quadratic interaction of F. The second records a genuine second order interaction created inside G before F is applied.
Exact mathematical passage
\begin{aligned} R_\delta D^2(F\circ G)(x)[h_1,h_2] ={}& \sum_{\gamma_1,\gamma_2} J^2_{\delta\mid\gamma_1,\gamma_2}F(Gx) [J^1_{\gamma_1\mid\alpha_1}G(x)h_1,J^1_{\gamma_2\mid\alpha_2}G(x)h_2]\\ &+ \sum_\gamma J^1_{\delta\mid\gamma}F(Gx) [J^2_{\gamma\mid\alpha_1,\alpha_2}G(x)[h_1,h_2]]. \end{aligned}
\Gamma_{2\leftarrow0}Use in source · 8 passages
Search aliases: Γ_2←0 Gamma leftarrow
Use in source · Read passage · 02_connections_obstructions.tex, line 667
[A scalar triangle] Let B={0,1,2} and C_0=C_1=C_2=𝕜 for a field 𝕜. Choose u,v,w∈𝕜^× and set Γ_1←0(x)=ux, Γ_2←1(x)=vx, Γ_2←0(x)=wx, with reverse transports given by inverse scalars. Then Δ_2,1,0(x)=(vu-w)x, and the triangle holonomy based at 0 is H_2,1,0(x)=w^-1vux. Therefore H_2,1,0-id =w^-1Δ_2,1,0. The connection is flat on this triangle exactly when vu=w. If the three coordinate systems are literally the same and canonical transport is used, then u=v=w=1 and the obstruction vanishes. Choosing …
Exact mathematical passage
\Gamma_{1\leftarrow0}(x)=ux,\qquad \Gamma_{2\leftarrow1}(x)=vx,\qquad \Gamma_{2\leftarrow0}(x)=wx,
\Gamma_{2\leftarrow1}Use in source · 7 passages
Search aliases: Γ_2←1 Gamma leftarrow
Use in source · Read passage · 02_connections_obstructions.tex, line 667
[A scalar triangle] Let B={0,1,2} and C_0=C_1=C_2=𝕜 for a field 𝕜. Choose u,v,w∈𝕜^× and set Γ_1←0(x)=ux, Γ_2←1(x)=vx, Γ_2←0(x)=wx, with reverse transports given by inverse scalars. Then Δ_2,1,0(x)=(vu-w)x, and the triangle holonomy based at 0 is H_2,1,0(x)=w^-1vux. Therefore H_2,1,0-id =w^-1Δ_2,1,0. The connection is flat on this triangle exactly when vu=w. If the three coordinate systems are literally the same and canonical transport is used, then u=v=w=1 and the obstruction vanishes. Choosing …
Exact mathematical passage
\Gamma_{1\leftarrow0}(x)=ux,\qquad \Gamma_{2\leftarrow1}(x)=vx,\qquad \Gamma_{2\leftarrow0}(x)=wx,
\Gamma_{a_0\leftarrow a_0}Use in source · 1 passage
Search aliases: Γ_a_0← a_0 Gamma leftarrow
Use in source · Read passage · 02_connections_obstructions.tex, line 296
Induct on the path length. Appending a_n+1 left-multiplies the inductive expression by Γ_a_n+1← a_n, and flatness replaces the two factors by Γ_a_n+1← a_0. For a loop, normalization gives Γ_a_0← a_0=id.
Exact mathematical passage
\Gamma_{a_0\leftarrow a_0}=\id
\Gamma_{a_{n+1}\leftarrow a_0}Use in source · 1 passage
Search aliases: Γ_a_n+1← a_0 Gamma leftarrow
Use in source · Read passage · 02_connections_obstructions.tex, line 295
Induct on the path length. Appending a_n+1 left-multiplies the inductive expression by Γ_a_n+1← a_n, and flatness replaces the two factors by Γ_a_n+1← a_0. For a loop, normalization gives Γ_a_0← a_0=id.
Exact mathematical passage
\Gamma_{a_{n+1}\leftarrow a_0}
\Gamma_{a_{n+1}\leftarrow a_n}Use in source · 1 passage
Search aliases: Γ_a_n+1← a_n Gamma leftarrow
Use in source · Read passage · 02_connections_obstructions.tex, line 293
Induct on the path length. Appending a_n+1 left-multiplies the inductive expression by Γ_a_n+1← a_n, and flatness replaces the two factors by Γ_a_n+1← a_0. For a loop, normalization gives Γ_a_0← a_0=id.
Exact mathematical passage
\Gamma_{a_{n+1}\leftarrow a_n}
\Gamma_{a_n\leftarrow a_0}Use in source · 1 passage
Search aliases: Γ_a_n← a_0 Gamma leftarrow
Use in source · Read passage · 02_connections_obstructions.tex, line 284
[Flat pair transport collapses to endpoints] If Γ is flat, then every path satisfies Γ_p=Γ_a_n← a_0. In particular, every loop has identity holonomy. statusleanthreeKomorebi.PaperIII.Transport.ReversibleConnection.pathTransport_eq_direct_of_flat; Komorebi.PaperIII.Transport.ReversibleConnection.indexedPathTransport_eq_direct_of_flat; Komorebi.PaperIII.Transport.ReversibleConnection.indexedLoopTransport_eq_refl_of_flat
Exact mathematical passage
\Gamma_p=\Gamma_{a_n\leftarrow a_0}.
\Gamma_{a\leftarrow o}Use in source · 2 passages
Search aliases: Γ_a← o Gamma leftarrow
Use in source · Read passage · 02_connections_obstructions.tex, line 351
[Flat connections are gauges of the canonical pair transport] Suppose the C_a are exact packet coordinate modules for one ambient module, so the canonical J_b← a is available. If Γ is a flat normalized reversible pair connection, choose o∈ B and set G_a=Γ_a← oJ_o← a. Then every pair transport satisfies Γ_b← a =G_bJ_b← aG_a^-1. statusleanthreeKomorebi.PaperIII.Transport.ReversibleConnection.flatGauge; Komorebi.PaperIII.Transport.ReversibleConnection.flat_isGaugeOfCanonical
Exact mathematical passage
G_a=\Gamma_{a\leftarrow o}J_{o\leftarrow a}.
\Gamma_{b\leftarrow o}Use in source · 1 passage
Search aliases: Γ_b← o Gamma leftarrow
Use in source · Read passage · 02_connections_obstructions.tex, line 367
Reversibility gives G_a^-1=J_a← oΓ_o← a. Therefore G_bJ_b← aG_a^-1 · = Γ_b← o J_o← bJ_b← a J_a← o Γ_o← a · = Γ_b← oΓ_o← a · = Γ_b← a. The first reduction uses the canonical cocycle twice; the second uses flatness of Γ.
Exact mathematical passage
\begin{aligned} G_bJ_{b\leftarrow a}G_a^{-1} &= \Gamma_{b\leftarrow o} J_{o\leftarrow b}J_{b\leftarrow a} J_{a\leftarrow o} \Gamma_{o\leftarrow a}\\ &= \Gamma_{b\leftarrow o}\Gamma_{o\leftarrow a}\\ &= \Gamma_{b\leftarrow a}. \end{aligned}
\Gamma_{c\leftarrow a}^{-1}Use in source · 2 passages
Search aliases: Γ_c← a^-1 Gamma leftarrow
Use in source · Read passage · 02_connections_obstructions.tex, line 33
At a triple (a,b,c), the compiled cocycle predicate is Γ_c← bΓ_b← a =Γ_c← a. Flatness means this equality holds for every triple. The formal multiplicative relative defect and triangle holonomy are D^×_c,b,a = (Γ_c← bΓ_b← a) Γ_c← a^-1, H_c,b,a = Γ_a← c Γ_c← b Γ_b← a. The defect is based at the target c. The holonomy is based at a. statusleanthreeKomorebi.PaperIII.Transport.Connection.CocycleAt; Komorebi.PaperIII.Transport.Connection.Flat; Komorebi.PaperIII.Transport.Connection.cocycleDefect; Kom…
Exact mathematical passage
D^\times_{c,b,a} = \bigl(\Gamma_{c\leftarrow b}\Gamma_{b\leftarrow a}\bigr) \Gamma_{c\leftarrow a}^{-1}, \qquad H_{c,b,a} = \Gamma_{a\leftarrow c} \Gamma_{c\leftarrow b} \Gamma_{b\leftarrow a}.
\Gamma_eUse in source · 1 passage
Search aliases: Γ_e Gamma
Use in source · Read passage · 02_connections_obstructions.tex, line 161
[A connection on a chart graph] One may specify Γ_e only on the oriented edges of a chart graph, together with inverse maps on reversed edges. Path transport and loop holonomy below still make sense. A direct cocycle defect for (a,b,c), however, requires a declared direct transport from a to c. The pairwise API in [source reference] keeps this comparison total.
Exact mathematical passage
\Gamma_e
\gamma_kUse in source · 2 passages
Search aliases: γ_k gamma
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 353
di Bruno formula] Let n≥1, let X,Y,Z be Banach spaces over the same real or complex field, and let G:X→ Y and F:Y→ Z be n times continuously Fr echet differentiable. Let P, Q, and R be packet systems on X, Y, and Z. Fix input packets α_1,…,α_n, an output packet δ, and directions h_i∈ X_α_i. Then · J^n_δmidα_1,…,α_n(F∘ G)(x) [h_1,…,h_n] · = ∑_π={B_1,…,B_k} ∑_γ_1,…,γ_k J^k_δmidγ_1,…,γ_kF(Gx) [ G_γ_1,B_1(xmid h),…, G_γ_k,B_k(xmid h) ]. The first sum runs over all set partitions of {1,…,n}.
Exact mathematical passage
\begin{aligned} &J^{n}_{\delta\mid\alpha_1,\ldots,\alpha_n}(F\circ G)(x) [h_1,\ldots,h_n]\\ &= \sum_{\pi=\{B_1,\ldots,B_k\}} \sum_{\gamma_1,\ldots,\gamma_k} J^{k}_{\delta\mid\gamma_1,\ldots,\gamma_k}F(Gx) \big[ G_{\gamma_1,B_1}(x\mid h),\ldots, G_{\gamma_k,B_k}(x\mid h) \big]. \end{aligned}
\Gamma_{o\leftarrow a}Use in source · 2 passages
Search aliases: Γ_o← a Gamma leftarrow
Use in source · Read passage · 02_connections_obstructions.tex, line 366
Reversibility gives G_a^-1=J_a← oΓ_o← a. Therefore G_bJ_b← aG_a^-1 · = Γ_b← o J_o← bJ_b← a J_a← o Γ_o← a
Exact mathematical passage
G_a^{-1}=J_{a\leftarrow o}\Gamma_{o\leftarrow a}
\deltaUse in source · 20 passages
Search aliases: δ delta
Use in source · Read passage · 01_finite_coordinates.tex, line 438
The graph model above resolves a fixed scalar matrix. Coordinate transport is a separate construction. Let X be an R-module, and let P^a=(P^a_i)_i∈ I_a be a finite complete family of pairwise orthogonal linear idempotents: P^a_iP^a_j=δ_ijP^a_i, ∑_i∈ I_aP^a_i=I_X. Define the exact packet coordinate module Coord( P^a) = {(x_i)_i∈ I_a:P^a_ix_i=x_i}. Its analysis and synthesis maps are A_a(x)=(P^a_ix)_i, S_a((x_i)_i)=∑_ix_i. Completeness and orthogonality give S_a A_a=id_X, A_a S_a=id_Coord( P^a).
Exact mathematical passage
P^a_iP^a_j=\delta_{ij}P^a_i, \qquad \sum_{i\in I_a}P^a_i=I_X.
\Delta^G_{c,b,a}Use in source · 1 passage
Search aliases: Δ^G_c,b,a Delta
Use in source · Read passage · 02_connections_obstructions.tex, line 328
[Gauge covariance] The defect and triangle holonomy transform as Δ^G_c,b,a =G_cΔ_c,b,aG_a^-1, H^G_c,b,a =G_aH_c,b,aG_a^-1. Thus flatness and triviality of triangle holonomy are gauge invariant. statusleanthreeKomorebi.PaperIII.Transport.ReversibleConnection.gauge_cocycleDefect; Komorebi.PaperIII.Transport.ReversibleConnection.gauge_triangleHolonomy; Komorebi.PaperIII.Transport.ReversibleConnection.gauge_flat_iff; Komorebi.PaperIII.Transport.ReversibleConnection.gauge_triangleHolonomy_eq_refl_iff
Exact mathematical passage
\Delta^G_{c,b,a} =G_c\Delta_{c,b,a}G_a^{-1}, \qquad H^G_{c,b,a} =G_aH_{c,b,a}G_a^{-1}.
\Delta_{2,1,0}Use in source · 3 passages
Search aliases: Δ_2,1,0 Delta
Use in source · Read passage · 02_connections_obstructions.tex, line 673
[A scalar triangle] Let B={0,1,2} and C_0=C_1=C_2=𝕜 for a field 𝕜. Choose u,v,w∈𝕜^× and set Γ_1←0(x)=ux, Γ_2←1(x)=vx, Γ_2←0(x)=wx, with reverse transports given by inverse scalars. Then Δ_2,1,0(x)=(vu-w)x, and the triangle holonomy based at 0 is H_2,1,0(x)=w^-1vux. Therefore H_2,1,0-id =w^-1Δ_2,1,0. The connection is flat on this triangle exactly when vu=w. If the three coordinate systems are literally the same and canonical transport is used, then u=v=w=1 and the obstruction vanishes. Choosing …
Exact mathematical passage
\Delta_{2,1,0}(x)=(vu-w)x,
\Delta_GUse in source · 3 passages
Search aliases: Δ_G Delta
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 750
[Exact defect under composition] Let G_f:Y_f→ Z_f and G_c:Y_c→ Z_c, with coarsening C_Z:Z_f→ Z_c. Then Δ_G∘ F(x) = Δ_G(F_f(x)) + G_c(F_c(C_Xx)+Δ_F(x)) - G_c(F_c(C_Xx)). If G_c is L Lipschitz on the relevant set, then Δ_G∘ F(x) ≤ Δ_G(F_f(x)) + L Δ_F(x) .
Exact mathematical passage
\Delta_{G\circ F}(x) = \Delta_G(F_f(x)) + G_c\big(F_c(C_Xx)+\Delta_F(x)\big) - G_c\big(F_c(C_Xx)\big).
\Delta_{GF}Use in source · 1 passage
Search aliases: Δ_GF Delta
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 779
[Linear product rule] If all maps in [source reference] are linear, then Δ_GF = Δ_G F_f+G_cΔ_F.
Exact mathematical passage
\Delta_{GF} = \Delta_G F_f+G_c\Delta_F.
\Delta_{G\circ F}Use in source · 2 passages
Search aliases: Δ_G∘ F Delta circ
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 750
[Exact defect under composition] Let G_f:Y_f→ Z_f and G_c:Y_c→ Z_c, with coarsening C_Z:Z_f→ Z_c. Then Δ_G∘ F(x) = Δ_G(F_f(x)) + G_c(F_c(C_Xx)+Δ_F(x)) - G_c(F_c(C_Xx)). If G_c is L Lipschitz on the relevant set, then Δ_G∘ F(x) ≤ Δ_G(F_f(x)) + L Δ_F(x) .
Exact mathematical passage
\Delta_{G\circ F}(x) = \Delta_G(F_f(x)) + G_c\big(F_c(C_Xx)+\Delta_F(x)\big) - G_c\big(F_c(C_Xx)\big).
\delta_{ij}Use in source · 1 passage
Search aliases: δ_ij delta
Use in source · Read passage · 01_finite_coordinates.tex, line 438
The graph model above resolves a fixed scalar matrix. Coordinate transport is a separate construction. Let X be an R-module, and let P^a=(P^a_i)_i∈ I_a be a finite complete family of pairwise orthogonal linear idempotents: P^a_iP^a_j=δ_ijP^a_i, ∑_i∈ I_aP^a_i=I_X. Define the exact packet coordinate module Coord( P^a) = {(x_i)_i∈ I_a:P^a_ix_i=x_i}. Its analysis and synthesis maps are A_a(x)=(P^a_ix)_i, S_a((x_i)_i)=∑_ix_i. Completeness and orthogonality give S_a A_a=id_X, A_a S_a=id_Coord( P^a).
Exact mathematical passage
P^a_iP^a_j=\delta_{ij}P^a_i, \qquad \sum_{i\in I_a}P^a_i=I_X.
\delta_{ji}Use in source · 2 passages
Search aliases: δ_ji delta
Use in source · Read passage · 02_connections_obstructions.tex, line 621
pansion for different matrices] For i,j∈ V and m≥1, set i_0=i and i_m=j. Then (B_m⋯ B_1)_ji = ∑_(i_1,…,i_m-1)∈ V^m-1 B_m[i_m,i_m-1]⋯ B_1[i_1,i_0]. When m=1, the sum is over the unique empty tuple and its summand is B_1[j,i]. For m=0, the product is the identity and the entry is the Kronecker delta δ_ji. If every B_r[q,p] vanishes outside a declared relation R_r(p,q), then the endpoint entry is zero whenever there is no packet path compatible with the successive relations. statusleanthreeKomorebi…
Exact mathematical passage
\delta_{ji}
\delta_{su}Use in source · 1 passage
Search aliases: δ_su delta
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 705
[Matrix difference grading] Let A=M_N(𝕜) and assign the matrix unit E_rs the label r-s modulo N. Since E_rsE_uv=δ_suE_rv, the output label is (r-s)+(u-v)=r-v whenever the product is nonzero. Matrix multiplication therefore obeys the cyclic convolution law exactly. The same grading resolves commutators and polynomial matrix equations.
Exact mathematical passage
E_{rs}E_{uv}=\delta_{su}E_{rv},
\varepsilonUse in source · 12 passages
Search aliases: ε varepsilon
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 792
[Iterated orbit defect] Let F_f:X_f→ X_f and F_c:X_c→ X_c, with coarsening C:X_f→ X_c. Suppose F_c is q Lipschitz. For a fine orbit starting at x, assume Δ_F(F_f^j x) ≤ε_j. Then CF_f^n(x)-F_c^n(Cx) ≤ ∑_j=0^n-1q^n-1-jε_j. If 0≤ q<1 and every ε_j≤ε, then CF_f^n(x)-F_c^n(Cx) ≤ εfrac1-q^n1-q.
Exact mathematical passage
\|\Delta_F(F_f^j x)\|\le\varepsilon_j.
\varepsilon_jUse in source · 3 passages
Search aliases: ε_j varepsilon
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 792
[Iterated orbit defect] Let F_f:X_f→ X_f and F_c:X_c→ X_c, with coarsening C:X_f→ X_c. Suppose F_c is q Lipschitz. For a fine orbit starting at x, assume Δ_F(F_f^j x) ≤ε_j. Then CF_f^n(x)-F_c^n(Cx) ≤ ∑_j=0^n-1q^n-1-jε_j. If 0≤ q<1 and every ε_j≤ε, then CF_f^n(x)-F_c^n(Cx) ≤ εfrac1-q^n1-q.
Exact mathematical passage
\|\Delta_F(F_f^j x)\|\le\varepsilon_j.
\varepsilon_nUse in source · 1 passage
Search aliases: ε_n varepsilon
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 815
Let e_n= CF_f^n(x)-F_c^n(Cx) . The definition of the defect and the Lipschitz property give e_n+1≤ε_n+qe_n. Iterating this recurrence proves the first estimate. The second is the geometric sum.
Exact mathematical passage
e_{n+1}\le\varepsilon_n+qe_n.
\varepsilon_\ellUse in source · 2 passages
Search aliases: ε_ℓ varepsilon ell
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 852
[Several refinement levels] Let C_ℓ:X_ℓ+1→ X_ℓ for 0≤ℓ<m. Suppose x_ℓ is a fixed point at level ℓ, the coarse map at level ℓ has contraction constant q_ℓ<1, and the adjacent defect at x_ℓ+1 is at most ε_ℓ. Write C_a,b=C_aC_a+1⋯ C_b-1 for a<b, C_a,a=I. Then C_0,mx_m-x_0 ≤ ∑_ℓ=0^m-1 C_0,ℓ fracε_ℓ1-q_ℓ.
Exact mathematical passage
\varepsilon_\ell
\etaUse in source · 18 passages
Search aliases: η eta
Use in source · Read passage · 02_connections_obstructions.tex, line 795
[Input locality for operation trees] Let η_1,η_2:I→ Y be two input environments. If η_1(i)=η_2(i) for every i∈inputs(t), then the two evaluations of t are equal under the same constant, unary, and binary semantics. In particular, if inputs(t)=∅, evaluation is independent of the input environment. statusleanthreeKomorebi.PaperIII.NonlinearObstructions.OperationTree.eval_congr_on_inputs; Komorebi.PaperIII.NonlinearObstructions.OperationTree.eval_eq_of_inputs_eq_empty
Exact mathematical passage
\eta_1,\eta_2:I\to Y
\eta_1Use in source · 2 passages
Search aliases: η_1 eta
Use in source · Read passage · 02_connections_obstructions.tex, line 795
[Input locality for operation trees] Let η_1,η_2:I→ Y be two input environments. If η_1(i)=η_2(i) for every i∈inputs(t), then the two evaluations of t are equal under the same constant, unary, and binary semantics. In particular, if inputs(t)=∅, evaluation is independent of the input environment. statusleanthreeKomorebi.PaperIII.NonlinearObstructions.OperationTree.eval_congr_on_inputs; Komorebi.PaperIII.NonlinearObstructions.OperationTree.eval_eq_of_inputs_eq_empty
Exact mathematical passage
\eta_1,\eta_2:I\to Y
\eta_2Use in source · 2 passages
Search aliases: η_2 eta
Use in source · Read passage · 02_connections_obstructions.tex, line 795
[Input locality for operation trees] Let η_1,η_2:I→ Y be two input environments. If η_1(i)=η_2(i) for every i∈inputs(t), then the two evaluations of t are equal under the same constant, unary, and binary semantics. In particular, if inputs(t)=∅, evaluation is independent of the input environment. statusleanthreeKomorebi.PaperIII.NonlinearObstructions.OperationTree.eval_congr_on_inputs; Komorebi.PaperIII.NonlinearObstructions.OperationTree.eval_eq_of_inputs_eq_empty
Exact mathematical passage
\eta_1,\eta_2:I\to Y
\eta_gUse in source · 4 passages
Search aliases: η_g eta
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 624
[Packet Maurer Cartan equations] Let L=⊕_g∈ G L_g be a differential graded Lie algebra over a ring in which two is invertible. Assume d L_g⊆ L_g, [ L_g, L_h]⊆ L_g+h. For a degree one element η=∑_gη_g, the Maurer Cartan equation dη+frac12[η,η]=0 is equivalent to dη_k + frac12 ∑_g+h=k[η_g,η_h] =0 for every k∈ G.
Exact mathematical passage
\eta=\sum_g\eta_g
\eta_{g_1}Use in source · 1 passage
Search aliases: η_g_1 eta
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 651
belprop:packet_l_infinity Let L be complete and carry operations ℓ_r that respect a finite abelian group grading. Assume the packet projectors are continuous for the topology in which the series below converges. Assume the Maurer Cartan series ∑_r≥1frac1r!ℓ_r(η,…,η) converges and the required factorials are invertible. Then its packet of label k is ∑_r≥1frac1r! ∑_g_1+⋯+g_r=k ℓ_r(η_g_1,…,η_g_r). The full Maurer Cartan equation holds if and only if every packet equation vanishes.
Exact mathematical passage
\sum_{r\ge1}\frac1{r!} \sum_{g_1+\cdots+g_r=k} \ell_r(\eta_{g_1},\ldots,\eta_{g_r}).
\eta_{g_r}Use in source · 1 passage
Search aliases: η_g_r eta
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 651
belprop:packet_l_infinity Let L be complete and carry operations ℓ_r that respect a finite abelian group grading. Assume the packet projectors are continuous for the topology in which the series below converges. Assume the Maurer Cartan series ∑_r≥1frac1r!ℓ_r(η,…,η) converges and the required factorials are invertible. Then its packet of label k is ∑_r≥1frac1r! ∑_g_1+⋯+g_r=k ℓ_r(η_g_1,…,η_g_r). The full Maurer Cartan equation holds if and only if every packet equation vanishes.
Exact mathematical passage
\sum_{r\ge1}\frac1{r!} \sum_{g_1+\cdots+g_r=k} \ell_r(\eta_{g_1},\ldots,\eta_{g_r}).
\eta_hUse in source · 3 passages
Search aliases: η_h eta
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 629
[Packet Maurer Cartan equations] Let L=⊕_g∈ G L_g be a differential graded Lie algebra over a ring in which two is invertible. Assume d L_g⊆ L_g, [ L_g, L_h]⊆ L_g+h. For a degree one element η=∑_gη_g, the Maurer Cartan equation dη+frac12[η,η]=0 is equivalent to dη_k + frac12 ∑_g+h=k[η_g,η_h] =0 for every k∈ G.
Exact mathematical passage
d\eta_k + \frac12 \sum_{g+h=k}[\eta_g,\eta_h] =0
\eta_kUse in source · 2 passages
Search aliases: η_k eta
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 629
[Packet Maurer Cartan equations] Let L=⊕_g∈ G L_g be a differential graded Lie algebra over a ring in which two is invertible. Assume d L_g⊆ L_g, [ L_g, L_h]⊆ L_g+h. For a degree one element η=∑_gη_g, the Maurer Cartan equation dη+frac12[η,η]=0 is equivalent to dη_k + frac12 ∑_g+h=k[η_g,η_h] =0 for every k∈ G.
Exact mathematical passage
d\eta_k + \frac12 \sum_{g+h=k}[\eta_g,\eta_h] =0
\thetaUse in source · 2 passages
Search aliases: θ theta
Use in source · Read passage · 04_correction_transport.tex, line 1051
[htbp] centering includegraphics[width=.96linewidth]rotating_projector_transport.pdf captionA rotating rank one packet and its orthogonal complement. With u(θ)=(cosθ,sinθ) and P(θ)=u(θ)u(θ)^ T, the canonical generator is [P',P]=(0 · -1
Exact mathematical passage
u(\theta)=(\cos\theta,\sin\theta)
\iotaUse in source · 1 passage
Search aliases: ι iota
Use in source · Read passage · 01_finite_coordinates.tex, line 147
[Current fiber scope] The compiled Paper III model above has one scalar coordinate per packet. For a family of modules (X_i)_i∈ V, an intrinsic edge map would instead have type ℓ_e:X_src(e)→ X_tgt(e), and its totalization on ⊕_iX_i would be ι_tgt(e)ℓ_eπ_src(e). The same support proof applies, but this generalization with dependent fibers is not attributed to the released Paper III modules for scalar edge systems.
Exact mathematical passage
\iota_{\tgt(e)}\ell_e\pi_{\src(e)}
\iota_{\tgt(e)}Use in source · 1 passage
Search aliases: ι_tgt(e) iota tgt iota operatorname
Use in source · Read passage · 01_finite_coordinates.tex, line 147
[Current fiber scope] The compiled Paper III model above has one scalar coordinate per packet. For a family of modules (X_i)_i∈ V, an intrinsic edge map would instead have type ℓ_e:X_src(e)→ X_tgt(e), and its totalization on ⊕_iX_i would be ι_tgt(e)ℓ_eπ_src(e). The same support proof applies, but this generalization with dependent fibers is not attributed to the released Paper III modules for scalar edge systems.
Exact mathematical passage
\iota_{\tgt(e)}\ell_e\pi_{\src(e)}
\kappaUse in source · 8 passages
Search aliases: κ kappa
Use in source · Read passage · 04_correction_transport.tex, line 138
projections on Y. Then there are neighborhoods U_K⊆ K and U_1⊆ X_1 of zero and a unique C^r map ψ:U_K⟶ U_1 with ψ(0)=0 such that π_RF(k+ψ(k))=0 for every k∈ U_K. After the neighborhoods are made smaller if needed, the solutions of F(x)=0 near zero are exactly the points x=k+ψ(k) for which the reduced obstruction map κ(k)=π_OF(k+ψ(k)) vanishes. At the base point, Dψ(0)=0, Dκ(0)=0.
Exact mathematical passage
\kappa(k)=\pi_OF(k+\psi(k))
\piUse in source · 25 passages
Search aliases: π pi
Use in source · Read passage · 01_finite_coordinates.tex, line 147
[Current fiber scope] The compiled Paper III model above has one scalar coordinate per packet. For a family of modules (X_i)_i∈ V, an intrinsic edge map would instead have type ℓ_e:X_src(e)→ X_tgt(e), and its totalization on ⊕_iX_i would be ι_tgt(e)ℓ_eπ_src(e). The same support proof applies, but this generalization with dependent fibers is not attributed to the released Paper III modules for scalar edge systems.
Exact mathematical passage
\iota_{\tgt(e)}\ell_e\pi_{\src(e)}
\pi_1Use in source · 3 passages
Search aliases: π_1 pi
Use in source · Read passage · 04_correction_transport.tex, line 745
[Gauge classification of transports] Let G⊆GL(X) be the chosen structure group and fix a root r. Restrict both edge transports and gauge values to G. Gauge equivalence classes of G valued transport systems are naturally identified with Hom(π_1(Γ,r),G)/G, where G acts by conjugation. After a spanning tree and orientations of the remaining edges are chosen, this set is identified with simultaneous conjugacy classes of b_1=|E|-|V|+1 tuples in G.
Exact mathematical passage
\Hom(\pi_1(\Gamma,r),G)/G,
\pi_OUse in source · 6 passages
Search aliases: π_O pi
Use in source · Read passage · 04_correction_transport.tex, line 125
ion] Let U⊆ X be an open neighborhood of zero and let F: U→ Y be a C^r map between Banach spaces with r≥1, F(0)=0, and L=DF(0). Assume there are closed decompositions X=K⊕ X_1, Y=R⊕ O, where K=Ker L, R=im L, and L_1=L|_X_1:X_1⟶ R is a Banach space isomorphism. Let π_R and π_O be the two projections on Y. Then there are neighborhoods U_K⊆ K and U_1⊆ X_1 of zero and a unique C^r map ψ:U_K⟶ U_1 with ψ(0)=0 such that π_RF(k+ψ(k))=0 for every k∈ U_K. After the neighborhoods are made smaller if needed…
Exact mathematical passage
\pi_O
\pi_RUse in source · 3 passages
Search aliases: π_R pi
Use in source · Read passage · 04_correction_transport.tex, line 125
hmidt reduction] Let U⊆ X be an open neighborhood of zero and let F: U→ Y be a C^r map between Banach spaces with r≥1, F(0)=0, and L=DF(0). Assume there are closed decompositions X=K⊕ X_1, Y=R⊕ O, where K=Ker L, R=im L, and L_1=L|_X_1:X_1⟶ R is a Banach space isomorphism. Let π_R and π_O be the two projections on Y. Then there are neighborhoods U_K⊆ K and U_1⊆ X_1 of zero and a unique C^r map ψ:U_K⟶ U_1 with ψ(0)=0 such that π_RF(k+ψ(k))=0 for every k∈ U_K. After the neighborhoods are made small…
Exact mathematical passage
\pi_R
\pi_{\src(e)}Use in source · 1 passage
Search aliases: π_src(e) pi src pi operatorname
Use in source · Read passage · 01_finite_coordinates.tex, line 147
[Current fiber scope] The compiled Paper III model above has one scalar coordinate per packet. For a family of modules (X_i)_i∈ V, an intrinsic edge map would instead have type ℓ_e:X_src(e)→ X_tgt(e), and its totalization on ⊕_iX_i would be ι_tgt(e)ℓ_eπ_src(e). The same support proof applies, but this generalization with dependent fibers is not attributed to the released Paper III modules for scalar edge systems.
Exact mathematical passage
\iota_{\tgt(e)}\ell_e\pi_{\src(e)}
\Pi_\muUse in source · 1 passage
Search aliases: Π_μ Pi mu
Use in source · visual_atlas.tex, line 34
Π_μObΠ_ν · Block from input to output of Ob=H-I. · pagerefV16 to pagerefV18
Exact mathematical passage
\Pi_\mu\Ob\Pi_\nu
\Pi_\nuUse in source · 1 passage
Search aliases: Π_ν Pi nu
Use in source · visual_atlas.tex, line 34
Π_μObΠ_ν · Block from input to output of Ob=H-I. · pagerefV16 to pagerefV18
Exact mathematical passage
\Pi_\mu\Ob\Pi_\nu
\rhoUse in source · 5 passages
Search aliases: ρ rho
Use in source · Read passage · 04_correction_transport.tex, line 44
[Right inverse correction theorem] Let D:X→ Y be a bounded linear map between Banach spaces. Assume Z=im D is closed and there is a bounded linear right inverse R:Z⟶ X, DR=I_Z. Put X_R=R(Z). Let N:overline B_ρ(0)∩ X_R⟶ Z be L Lipschitz. Let y∈ Z and put q= R L. Assume q<1 and R(y-N(0)) ≤ (1-q)ρ. Then the equation Dx+N(x)=y has a unique solution in overline B_ρ(0)∩ X_R.
Exact mathematical passage
N:\overline B_\rho(0)\cap X_R\longrightarrow Z
\tauUse in source · 6 passages
Search aliases: τ tau
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 467
Let T_m be the finite set of ordered rooted trees of height less than m. A leaf has value s. If the root of τ has arity r and ordered subtrees τ_1,…,τ_r, define B_τ(s)=B_r(B_τ_1(s),…,B_τ_r(s)). Induction on m shows that the Picard iterate u_0=0 and u_m+1=Φ(u_m) satisfies u_m=∑_τ∈ T_mB_τ(s). Define a nonnegative scalar weight by assigning weight a to a leaf and applying the scalar map (t_1,…,t_r)↦ b_rt_1⋯ t_r at a vertex of arity r. A second induction gives ∑_τ∈ T_m B_τ(s) ≤ ∑_τ∈ T_mw(τ) =t_m, wh…
Exact mathematical passage
\tau
\tau_1Use in source · 2 passages
Search aliases: τ_1 tau
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 467
Let T_m be the finite set of ordered rooted trees of height less than m. A leaf has value s. If the root of τ has arity r and ordered subtrees τ_1,…,τ_r, define B_τ(s)=B_r(B_τ_1(s),…,B_τ_r(s)). Induction on m shows that the Picard iterate u_0=0 and u_m+1=Φ(u_m) satisfies u_m=∑_τ∈ T_mB_τ(s). Define a nonnegative scalar weight by assigning weight a to a leaf and applying the scalar map (t_1,…,t_r)↦ b_rt_1⋯ t_r at a vertex of arity r. A second induction gives ∑_τ∈ T_m B_τ(s) ≤ ∑_τ∈ T_mw(τ) =t_m, wh…
Exact mathematical passage
\tau_1,\ldots,\tau_r
\tau_rUse in source · 2 passages
Search aliases: τ_r tau
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 467
Let T_m be the finite set of ordered rooted trees of height less than m. A leaf has value s. If the root of τ has arity r and ordered subtrees τ_1,…,τ_r, define B_τ(s)=B_r(B_τ_1(s),…,B_τ_r(s)). Induction on m shows that the Picard iterate u_0=0 and u_m+1=Φ(u_m) satisfies u_m=∑_τ∈ T_mB_τ(s). Define a nonnegative scalar weight by assigning weight a to a leaf and applying the scalar map (t_1,…,t_r)↦ b_rt_1⋯ t_r at a vertex of arity r. A second induction gives ∑_τ∈ T_m B_τ(s) ≤ ∑_τ∈ T_mw(τ) =t_m, wh…
Exact mathematical passage
\tau_1,\ldots,\tau_r
\phiUse in source · 7 passages
Search aliases: ϕ phi
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 432
Let X be a Banach space. Fix s∈ X and continuous multilinear maps B_r:X^r⟶ X, 2≤ r≤ d. Set a= s , b_r= B_r , ϕ(t)=a+∑_r=2^db_rt^r. An ordered rooted tree has leaves labeled by s and every internal vertex of arity r labeled by B_r. Its value is obtained by evaluating from the leaves toward the root.
Exact mathematical passage
a=\|s\|, \qquad b_r=\|B_r\|, \qquad \phi(t)=a+\sum_{r=2}^{d}b_rt^r.
\varphiUse in source · 20 passages
Search aliases: φ varphi
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 926
[Cokernel obstruction criterion] A linear correction exists if and only if Ob_D(r)=0. The quotient map q_D:V⟶coker D has the following universal property. If φ:V→ W is linear and φ D=0, then there is a unique linear map overlineφ:coker D⟶ W with φ=overlineφ q_D.
Exact mathematical passage
\varphi:V\to W
\Phi'Use in source · 1 passage
Search aliases: Φ' Phi
Use in source · Read passage · 04_correction_transport.tex, line 364
[Naturality of filtered obstructions] Suppose a morphism of filtered lifting problems sends x_m to x_m', intertwines L_m with L_m', and sends Φ(x_m) to Φ'(x_m') on the associated graded pieces. Then the induced cokernel map sends Ob_m(x_m) to Ob_m'(x_m').
Exact mathematical passage
\Phi'(x_m')
\chiUse in source · 1 passage
Search aliases: χ chi
Use in source · visual_atlas.tex, line 279
The usual scalar invariants can be misleading: trH=2, det H=1, χ_H(t)=(t-1)^2. These are also the invariants of the 2×2 identity matrix. Nevertheless, Ob=H-I=mat0 · 1
Exact mathematical passage
\operatorname{tr}H=2,\qquad \det H=1,\qquad \chi_H(t)=(t-1)^2.
\chi_HUse in source · 1 passage
Search aliases: χ_H chi
Use in source · visual_atlas.tex, line 279
The usual scalar invariants can be misleading: trH=2, det H=1, χ_H(t)=(t-1)^2. These are also the invariants of the 2×2 identity matrix. Nevertheless, Ob=H-I=mat0 · 1
Exact mathematical passage
\operatorname{tr}H=2,\qquad \det H=1,\qquad \chi_H(t)=(t-1)^2.
\PsiUse in source · 4 passages
Search aliases: Ψ Psi
Use in source · Read passage · 04_correction_transport.tex, line 66
The space X_R is closed. Indeed, if Rz_n→ x, then z_n=DRz_n→ Dx, so x=R(Dx). Define Ψ(x)=R(y-N(x)). This map takes X_R to itself. For x∈overline B_ρ(0)∩ X_R, Ψ(x) · ≤ R(y-N(0)) + R N(x)-N(0)
Exact mathematical passage
\Psi(x)=R(y-N(x)).
\psiUse in source · 14 passages
Search aliases: ψ psi
Use in source · Read passage · 04_correction_transport.tex, line 126
en Banach spaces with r≥1, F(0)=0, and L=DF(0). Assume there are closed decompositions X=K⊕ X_1, Y=R⊕ O, where K=Ker L, R=im L, and L_1=L|_X_1:X_1⟶ R is a Banach space isomorphism. Let π_R and π_O be the two projections on Y. Then there are neighborhoods U_K⊆ K and U_1⊆ X_1 of zero and a unique C^r map ψ:U_K⟶ U_1 with ψ(0)=0 such that π_RF(k+ψ(k))=0 for every k∈ U_K. After the neighborhoods are made smaller if needed, the solutions of F(x)=0 near zero are exactly the points x=k+ψ(k) for which th…
Exact mathematical passage
\psi:U_K\longrightarrow U_1
\OmegaUse in source · 5 passages
Search aliases: Ω Omega
Use in source · Read passage · 04_correction_transport.tex, line 392
[Maurer Cartan lifting obstruction] Let L be a complete filtered differential graded Lie algebra over a ring in which two is invertible. Assume dF^i L⊆ F^i L, [F^i L,F^j L]⊆ F^i+j L. For a degree one element η, put Ω(η)=dη+frac12[η,η]. Suppose Ω(η)∈ F^m L^2 with m≥1. For every h∈ F^m L^1, Ω(η+h) ≡ Ω(η)+d_η h pmodF^m+1 L^2, d_η=d+[η,mathord·]. The obstruction to improving η by one depth is therefore the class of Ω(η) in the cokernel of gr^m(d_η): gr^m L^1 ⟶ gr^m L^2.
Exact mathematical passage
\Omega(\eta)=d\eta+\frac12[\eta,\eta].
\daggerUse in source · 5 passages
Search aliases: † dagger
Use in source · Read passage · 04_correction_transport.tex, line 6
[Orthogonal obstruction projector] Let D:H_1→ H_2 be a bounded operator between Hilbert spaces with closed range. Let D^† be its Moore Penrose inverse. Then P_ob=I_H_2-DD^† is the orthogonal projector onto (im D)^⊥=Ker D^*. For r∈ H_2, the following are equivalent: item Du=-r is solvable item [r]=0 in coker D item P_obr=0. When these conditions hold, -D^† r is the least norm correction. For every r, dist(r,im D)= P_obr .
Exact mathematical passage
D^\dagger
\ellUse in source · 16 passages
Search aliases: ℓ ell
Use in source · Read passage · 01_finite_coordinates.tex, line 145
[Current fiber scope] The compiled Paper III model above has one scalar coordinate per packet. For a family of modules (X_i)_i∈ V, an intrinsic edge map would instead have type ℓ_e:X_src(e)→ X_tgt(e), and its totalization on ⊕_iX_i would be ι_tgt(e)ℓ_eπ_src(e). The same support proof applies, but this generalization with dependent fibers is not attributed to the released Paper III modules for scalar edge systems.
Exact mathematical passage
\ell_e:X_{\src(e)}\to X_{\tgt(e)}
\ell_eUse in source · 2 passages
Search aliases: ℓ_e ell
Use in source · Read passage · 01_finite_coordinates.tex, line 145
[Current fiber scope] The compiled Paper III model above has one scalar coordinate per packet. For a family of modules (X_i)_i∈ V, an intrinsic edge map would instead have type ℓ_e:X_src(e)→ X_tgt(e), and its totalization on ⊕_iX_i would be ι_tgt(e)ℓ_eπ_src(e). The same support proof applies, but this generalization with dependent fibers is not attributed to the released Paper III modules for scalar edge systems.
Exact mathematical passage
\ell_e:X_{\src(e)}\to X_{\tgt(e)}
\ell_rUse in source · 4 passages
Search aliases: ℓ_r ell
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 646
[Packet equations for L_∞ operations] Let L be complete and carry operations ℓ_r that respect a finite abelian group grading. Assume the packet projectors are continuous for the topology in which the series below converges. Assume the Maurer Cartan series ∑_r≥1frac1r!ℓ_r(η,…,η) converges and the required factorials are invertible. Then its packet of label k is ∑_r≥1frac1r! ∑_g_1+⋯+g_r=k ℓ_r(η_g_1,…,η_g_r). The full Maurer Cartan equation holds if and only if every packet equation vanishes.
Exact mathematical passage
\ell_r
\mapstoUse in source · 5 passages
Search aliases: ↦ mapsto
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 310
Set g(t)=F(x+th) on the open preimage of the domain under t↦ x+th. It contains [0,1], and repeated differentiation gives g^(r)(t)=D^rF(x+th)[h,…,h]. The derivatives are continuous on the compact interval, so their Bochner integrals exist in the Banach codomain. Put T_j=frac1j!∫_0^1(1-t)^j g^(j+1)(t) dt (0≤ j≤ m). The fundamental theorem of calculus gives T_0=g(1)-g(0). For j≥1, integration by parts gives T_j=T_j-1-g^(j)(0)/j!. Iterating this relation proves the Taylor identity with remainder T_m…
Exact mathematical passage
t\mapsto x+th
\existsUse in source · 2 passages
Search aliases: ∃ exists
Use in source · visual_atlas.tex, line 433
The statement proved by the generic certificate has the form neg(∀ p, r(x,p)=0) Longleftrightarrow ∃ p, r(x,p)≠0. The same candidate x appears on both sides. A certificate consists of the packet label and its nonvanishing proof. The general converse uses classical reasoning and does not itself provide an algorithm to find the label.
Exact mathematical passage
\neg\bigl(\forall p,\ r(x,p)=0\bigr) \quad\Longleftrightarrow\quad \exists p,\ r(x,p)\ne0.
\nablaUse in source · 2 passages
Search aliases: ∇ nabla
Use in source · Read passage · 04_correction_transport.tex, line 1117
[Curvature of a projected connection] Let P be a smooth orthogonal projector valued map on a parameter manifold. The connection ∇=P d on the range bundle has curvature F=P(dPwedge dP)P.
Exact mathematical passage
\nabla=P\,d
\nabla^2Use in source · 1 passage
Search aliases: ∇^2 nabla
Use in source · Read passage · 04_correction_transport.tex, line 1128
For a section s satisfying Ps=s, ∇^2s=P d(P ds)=P(dP)wedge ds. Since ds=(dP)s+Pds and P(dP)P=0, the surviving term is P(dPwedge dP)Ps.qedhere
Exact mathematical passage
\nabla^2s=P\,d(P\,ds)=P(dP)\wedge ds.
\notinUse in source · 1 passage
Search aliases: ∉ notin
Use in source · Read passage · 01_finite_coordinates.tex, line 365
Expand (T^nx)_j=∑_i(T^n)_jix_i. Terms with i∉ S vanish by the support of x, and terms with i∈ S vanish by [source reference]. The final claim follows because the j-coordinate also vanishes on every finite linear combination of orbit vectors.
Exact mathematical passage
i\notin S
\prod_jUse in source · 2 passages
Search aliases: ∏_j prod
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 265
[Jet norm bound] Give every packet range its inherited subspace norm. The restricted jet satisfies the sharper estimate J^r_γmidα_1,…,α_rF(x) ≤ Q_γ D^rF(x) . Its ambient extension inserts P_α_j in the jth slot and has norm at most Q_γ D^rF(x) ∏_j P_α_j . Consequently the operator norm of the restricted packet jet also satisfies J^r_γmidα_1,…,α_rF(x) ≤ Q_γ D^rF(x) ∏_j=1^r P_α_j . When all packets are orthogonal projections on Hilbert spaces, every nonzero projector has norm one and the bound redu…
Exact mathematical passage
\|Q_\gamma\|\,\|D^rF(x)\|\prod_j\|P_{\alpha_j}\|
\prod_{j=1}^rUse in source · 1 passage
Search aliases: ∏_j=1^r prod
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 267
cket range its inherited subspace norm. The restricted jet satisfies the sharper estimate J^r_γmidα_1,…,α_rF(x) ≤ Q_γ D^rF(x) . Its ambient extension inserts P_α_j in the jth slot and has norm at most Q_γ D^rF(x) ∏_j P_α_j . Consequently the operator norm of the restricted packet jet also satisfies J^r_γmidα_1,…,α_rF(x) ≤ Q_γ D^rF(x) ∏_j=1^r P_α_j . When all packets are orthogonal projections on Hilbert spaces, every nonzero projector has norm one and the bound reduces to the norm of the full de…
Exact mathematical passage
\left\|J^{r}_{\gamma\mid\alpha_1,\ldots,\alpha_r}F(x)\right\| \le \|Q_\gamma\|\,\|D^rF(x)\| \prod_{j=1}^r\|P_{\alpha_j}\|.
\prod_qUse in source · 1 passage
Search aliases: ∏_q prod
Use in source · Read passage · 02_connections_obstructions.tex, line 889
For coordinate models of the source and target colors, an additive target coordinate space, and a chosen noncanonical connection, a pointwise node defect can be defined by D^Γ_b,a(Φ) = Γ^Y_b← a∘widehatΦ_a - widehatΦ_b∘ (∏_qΓ^X_q_b← a). This expression compares two chosen routes. With canonical exact transport in every slot it vanishes by [source reference].
Exact mathematical passage
\mathfrak D^\Gamma_{b,a}(\Phi) = \Gamma^Y_{b\leftarrow a}\circ\widehat\Phi_a - \widehat\Phi_b\circ \left(\prod_q\Gamma^{X_q}_{b\leftarrow a}\right).
\sum_{(e_1,\ldots,e_n)\in E^n}Use in source · 1 passage
Search aliases: ∑_(e_1,…,e_n)∈ E^n sum ldots in
Use in source · Read passage · 01_finite_coordinates.tex, line 307
Induction and finite distributivity give (∑_e∈ EL_e)^n = ∑_(e_1,…,e_n)∈ E^nL_e_n⋯ L_e_1. Every noncomposable summand is zero by [source reference], so inserting the composability filter does not change the sum. In Lean, tuple concatenation and the successor sum are handled by leannametupleWordOp_snoc and leannameexplicitWordExpansion_succ; the two bridge equalities then yield the displayed theorem.
Exact mathematical passage
\left(\sum_{e\in E}L_e\right)^n = \sum_{(e_1,\ldots,e_n)\in E^n}L_{e_n}\cdots L_{e_1}.
\sum_{(i_1,\ldots,i_{m-1})\in V^{m-1}}Use in source · 1 passage
Search aliases: ∑_(i_1,…,i_m-1)∈ V^m-1 sum ldots in
Use in source · Read passage · 02_connections_obstructions.tex, line 610
[Packet path expansion for different matrices] For i,j∈ V and m≥1, set i_0=i and i_m=j. Then (B_m⋯ B_1)_ji = ∑_(i_1,…,i_m-1)∈ V^m-1 B_m[i_m,i_m-1]⋯ B_1[i_1,i_0]. When m=1, the sum is over the unique empty tuple and its summand is B_1[j,i]. For m=0, the product is the identity and the entry is the Kronecker delta δ_ji. If every B_r[q,p] vanishes outside a declared relation R_r(p,q), then the endpoint entry is zero whenever there is no packet path compatible with the successive relations. statusle…
Exact mathematical passage
\boxed{ (B_m\cdots B_1)_{ji} = \sum_{(i_1,\ldots,i_{m-1})\in V^{m-1}} B_m[i_m,i_{m-1}]\cdots B_1[i_1,i_0]. }
\sum_{2g=k}Use in source · 1 passage
Search aliases: ∑_2g=k sum
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 679
[Divided square packet equations] Assume q( L_g)⊆ L_2g. Choose an ordering of the finite label set. The equation dη+q(η)=0 is equivalent to dη_k + ∑_2g=kq(η_g) + ∑_substackg<h g+h=k[η_g,η_h] =0 for every k.
Exact mathematical passage
d\eta_k + \sum_{2g=k}q(\eta_g) + \sum_{\substack{g<h\\g+h=k}}[\eta_g,\eta_h] =0
\sum_eUse in source · 1 passage
Search aliases: ∑_e sum
Use in source · visual_atlas.tex, line 26
T=∑_eL_e · Add all edge operators before taking powers. · pagerefV4 to pagerefV7
Exact mathematical passage
T=\sum_eL_e
\sum_gUse in source · 2 passages
Search aliases: ∑_g sum
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 624
[Packet Maurer Cartan equations] Let L=⊕_g∈ G L_g be a differential graded Lie algebra over a ring in which two is invertible. Assume d L_g⊆ L_g, [ L_g, L_h]⊆ L_g+h. For a degree one element η=∑_gη_g, the Maurer Cartan equation dη+frac12[η,η]=0 is equivalent to dη_k + frac12 ∑_g+h=k[η_g,η_h] =0 for every k∈ G.
Exact mathematical passage
\eta=\sum_g\eta_g
\sum_{g+h=k}Use in source · 1 passage
Search aliases: ∑_g+h=k sum
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 629
[Packet Maurer Cartan equations] Let L=⊕_g∈ G L_g be a differential graded Lie algebra over a ring in which two is invertible. Assume d L_g⊆ L_g, [ L_g, L_h]⊆ L_g+h. For a degree one element η=∑_gη_g, the Maurer Cartan equation dη+frac12[η,η]=0 is equivalent to dη_k + frac12 ∑_g+h=k[η_g,η_h] =0 for every k∈ G.
Exact mathematical passage
d\eta_k + \frac12 \sum_{g+h=k}[\eta_g,\eta_h] =0
\sum_{g<h}Use in source · 1 passage
Search aliases: ∑_g<h sum
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 692
Repeated use of the polarization identity for q gives q(∑_gη_g) = ∑_gq(η_g) + ∑_g<h[η_g,η_h]. Project onto the component of label k.
Exact mathematical passage
q\left(\sum_g\eta_g\right) = \sum_gq(\eta_g) + \sum_{g<h}[\eta_g,\eta_h].
\sum_{g_1+\cdots+g_r=k}Use in source · 2 passages
Search aliases: ∑_g_1+⋯+g_r=k sum cdots
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 583
[Graded packet convolution] If a_j=∑_g∈ Ga_j,g and μ respects the grading, then P_kμ(a_1,…,a_r) = ∑_g_1+⋯+g_r=k μ(a_1,g_1,…,a_r,g_r).
Exact mathematical passage
P_k\mu(a_1,\ldots,a_r) = \sum_{g_1+\cdots+g_r=k} \mu(a_{1,g_1},\ldots,a_{r,g_r}).
\sum_{g\in G}Use in source · 1 passage
Search aliases: ∑_g∈ G sum in
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 582
[Graded packet convolution] If a_j=∑_g∈ Ga_j,g and μ respects the grading, then P_kμ(a_1,…,a_r) = ∑_g_1+⋯+g_r=k μ(a_1,g_1,…,a_r,g_r).
Exact mathematical passage
a_j=\sum_{g\in G}a_{j,g}
\sum_iUse in source · 3 passages
Search aliases: ∑_i sum
Use in source · Read passage · 01_finite_coordinates.tex, line 365
Expand (T^nx)_j=∑_i(T^n)_jix_i. Terms with i∉ S vanish by the support of x, and terms with i∈ S vanish by [source reference]. The final claim follows because the j-coordinate also vanishes on every finite linear combination of orbit vectors.
Exact mathematical passage
(T^nx)_j=\sum_i(T^n)_{ji}x_i
\sum_{i+j=k}Use in source · 1 passage
Search aliases: ∑_i+j=k sum
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 603
[Cyclic product formula] For a cyclically graded algebra A=⊕_j∈ Z/N ZA_j, A_iA_j⊆ A_i+j, one has P_k(ab)= ∑_i+j=ka_ib_j.
Exact mathematical passage
P_k(ab)= \sum_{i+j=k}a_ib_j.
\sum_{i,j}Use in source · 2 passages
Search aliases: ∑_i,j sum
Use in source · visual_atlas.tex, line 390
headExact reconstruction does not require right angles For the displayed Q_0,Q_1, Q_0+Q_1=I, Q_i^2=Q_i, Q_0Q_1=Q_1Q_0=0, but Q_0^ T≠ Q_0. Expanding both copies of I still proves ∑_i,jQ_iOb Q_j=Ob. The block reconstruction identity itself uses the condition that the projectors sum to the identity. Idempotence is additionally used when constructing a witness that remains supported in one packet after projection. The release does not require pairwise annihilation for its general reconstruction stat…
Exact mathematical passage
\sum_{i,j}Q_i\Ob Q_j=\Ob.
\sum_{i\in I_a}Use in source · 1 passage
Search aliases: ∑_i∈ I_a sum in
Use in source · Read passage · 01_finite_coordinates.tex, line 438
The graph model above resolves a fixed scalar matrix. Coordinate transport is a separate construction. Let X be an R-module, and let P^a=(P^a_i)_i∈ I_a be a finite complete family of pairwise orthogonal linear idempotents: P^a_iP^a_j=δ_ijP^a_i, ∑_i∈ I_aP^a_i=I_X. Define the exact packet coordinate module Coord( P^a) = {(x_i)_i∈ I_a:P^a_ix_i=x_i}. Its analysis and synthesis maps are A_a(x)=(P^a_ix)_i, S_a((x_i)_i)=∑_ix_i. Completeness and orthogonality give S_a A_a=id_X, A_a S_a=id_Coord( P^a).
Exact mathematical passage
P^a_iP^a_j=\delta_{ij}P^a_i, \qquad \sum_{i\in I_a}P^a_i=I_X.
\sum_{i\in I_v}Use in source · 1 passage
Search aliases: ∑_i∈ I_v sum in
Use in source · Read passage · 02_connections_obstructions.tex, line 861
Suppose every X_v has a finite complete packet family (P^v_i)_i∈ I_v. A packet labeling assigns an admissible packet index to each edge or node of a typed tree. For multilinear Φ_σ, inserting id_X_v=∑_i∈ I_vP^v_i at every input and output yields a finite sum over trees with packet labels. This is the branching analogue of inserting intermediate projectors in [source reference].
Exact mathematical passage
\id_{X_v}=\sum_{i\in I_v}P^v_i
\sum_jUse in source · 2 passages
Search aliases: ∑_j sum
Use in source · Read passage · 04_correction_transport.tex, line 1032
s continuously differentiable, the integral equation for U(t+h,t) gives a uniform estimate U(t+h,t)-I-hK(t) ≤ C_1h^2. By [source reference], the direct rotation V_j from t_j to t_j+1 therefore satisfies V_j-U(t_j+1,t_j) ≤ C_2h_j^2, h_j=t_j+1-t_j. Both V_j and the exact propagator are unitary. A telescoping product comparison gives V_π-U(T,0) ≤ ∑_j V_j-U(t_j+1,t_j) ≤ C_2∑_jh_j^2 ≤ C_2T|π|. This proves norm convergence and the stated first order global bound.
Exact mathematical passage
\|V_\pi-U(T,0)\| \le \sum_j\|V_j-U(t_{j+1},t_j)\| \le C_2\sum_jh_j^2 \le C_2T|\pi|.
\sum_{j=0}^{n-1}Use in source · 1 passage
Search aliases: ∑_j=0^n-1 sum
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 796
[Iterated orbit defect] Let F_f:X_f→ X_f and F_c:X_c→ X_c, with coarsening C:X_f→ X_c. Suppose F_c is q Lipschitz. For a fine orbit starting at x, assume Δ_F(F_f^j x) ≤ε_j. Then CF_f^n(x)-F_c^n(Cx) ≤ ∑_j=0^n-1q^n-1-jε_j. If 0≤ q<1 and every ε_j≤ε, then CF_f^n(x)-F_c^n(Cx) ≤ εfrac1-q^n1-q.
Exact mathematical passage
\left\|CF_f^n(x)-F_c^n(Cx)\right\| \le \sum_{j=0}^{n-1}q^{n-1-j}\varepsilon_j.
\sum_{k=1}^{n}Use in source · 1 passage
Search aliases: ∑_k=1^n sum
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 378
[Number of labeled composition terms] For n≥1, if Y has M packets, then the number of packet labeled terms at order n before zero jets are removed is N_n,M = ∑_k=1^nS(n,k)M^k, where S(n,k) is a Stirling number of the second kind. Thus N_n,M is the nth Touchard polynomial evaluated at M.
Exact mathematical passage
N_{n,M} = \sum_{k=1}^{n}S(n,k)M^k,
\sum_{n\ge1}Use in source · 1 passage
Search aliases: ∑_n≥1 sum ge
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 491
[Quadratic Catalan expansion] Let B:X× X→ X be bounded and consider u=s+B(u,u). Put a= s and b= B . If 4ab<1, then u= ∑_n≥1 ∑_substackτ full ordered binary tree with n leaves B_τ(s) converges absolutely. It also satisfies u ≤ frac1-sqrt1-4ab2b when b>0.
Exact mathematical passage
u= \sum_{n\ge1} \sum_{\substack{\tau\text{ full ordered binary tree}\\\text{with }n\text{ leaves}}} B_\tau(s)
\sum_{r=1}^{m}Use in source · 1 passage
Search aliases: ∑_r=1^m sum
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 287
[Packet Taylor formula] Assume F is m+1 times continuously Fr echet differentiable on an open set containing the segment x+th for 0≤ t≤1. Then Q_γ F(x+h) = · Q_γ F(x) + ∑_r=1^mfrac1r! ∑_α_1,…,α_r J^r_γmidα_1,…,α_rF(x) [P_α_1h,…,P_α_rh] · +Q_γ R_m+1(x,h), where the Bochner integral remainder is R_m+1(x,h) = frac1m! ∫_0^1(1-t)^m D^m+1F(x+th)[h,…,h] dt.
Exact mathematical passage
\begin{aligned} Q_\gamma F(x+h) ={}&Q_\gamma F(x) + \sum_{r=1}^{m}\frac1{r!} \sum_{\alpha_1,\ldots,\alpha_r} J^{r}_{\gamma\mid\alpha_1,\ldots,\alpha_r}F(x) [P_{\alpha_1}h,\ldots,P_{\alpha_r}h]\\ &+Q_\gamma R_{m+1}(x,h), \end{aligned}
\sum_{r=2}^{d}Use in source · 3 passages
Search aliases: ∑_r=2^d sum
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 432
Let X be a Banach space. Fix s∈ X and continuous multilinear maps B_r:X^r⟶ X, 2≤ r≤ d. Set a= s , b_r= B_r , ϕ(t)=a+∑_r=2^db_rt^r. An ordered rooted tree has leaves labeled by s and every internal vertex of arity r labeled by B_r. Its value is obtained by evaluating from the leaves toward the root.
Exact mathematical passage
a=\|s\|, \qquad b_r=\|B_r\|, \qquad \phi(t)=a+\sum_{r=2}^{d}b_rt^r.
\sum_{r\ge1}Use in source · 2 passages
Search aliases: ∑_r≥1 sum ge
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 647
[Packet equations for L_∞ operations] Let L be complete and carry operations ℓ_r that respect a finite abelian group grading. Assume the packet projectors are continuous for the topology in which the series below converges. Assume the Maurer Cartan series ∑_r≥1frac1r!ℓ_r(η,…,η) converges and the required factorials are invertible. Then its packet of label k is ∑_r≥1frac1r! ∑_g_1+⋯+g_r=k ℓ_r(η_g_1,…,η_g_r). The full Maurer Cartan equation holds if and only if every packet equation vanishes.
Exact mathematical passage
\sum_{r\ge1}\frac1{r!}\ell_r(\eta,\ldots,\eta)
\sum_{\substack{g<h\\g+h=k}}Use in source · 1 passage
Search aliases: ∑_substackg<h g+h=k sum substack g
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 679
[Divided square packet equations] Assume q( L_g)⊆ L_2g. Choose an ordering of the finite label set. The equation dη+q(η)=0 is equivalent to dη_k + ∑_2g=kq(η_g) + ∑_substackg<h g+h=k[η_g,η_h] =0 for every k.
Exact mathematical passage
d\eta_k + \sum_{2g=k}q(\eta_g) + \sum_{\substack{g<h\\g+h=k}}[\eta_g,\eta_h] =0
\sum_{\substack{\tau\text{ full ordered binary tree}\\\text{with }n\text{ leaves}}}Use in source · 1 passage
Search aliases: ∑_substackτ full ordered binary tree with n leaves sum substack tau text text text
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 491
[Quadratic Catalan expansion] Let B:X× X→ X be bounded and consider u=s+B(u,u). Put a= s and b= B . If 4ab<1, then u= ∑_n≥1 ∑_substackτ full ordered binary tree with n leaves B_τ(s) converges absolutely. It also satisfies u ≤ frac1-sqrt1-4ab2b when b>0.
Exact mathematical passage
u= \sum_{n\ge1} \sum_{\substack{\tau\text{ full ordered binary tree}\\\text{with }n\text{ leaves}}} B_\tau(s)
\sum_{w\in E^n}Use in source · 1 passage
Search aliases: ∑_w∈ E^n sum in
Use in source · Read passage · 01_finite_coordinates.tex, line 288
[Finite operator expansion from words to walks] For every n∈ N, T^n = ∑_w∈ E^nL_w = ∑_w∈ E^n L_w, · w composable, 0, · w not composable. Parallel edges occur as distinct summands. statusleanthreeKomorebi.PaperIII.EdgeOperators.PacketGraph.EdgeSystem.transferOp_pow_eq_explicitWordExpansion; Komorebi.PaperIII.EdgeOperators.PacketGraph.EdgeSystem.transferOp_pow_eq_walkExpansion
Exact mathematical passage
\boxed{ T^n = \sum_{w\in E^n}L_w = \sum_{w\in E^n} \begin{cases} L_w,&w\text{ composable},\\ 0,&w\text{ not composable}. \end{cases} }
\sum_{w\in\Walk_n(i,j)}Use in source · 1 passage
Search aliases: ∑_w∈Walk_n(i,j) sum in Walk sum in operatorname
Use in source · Read passage · 01_finite_coordinates.tex, line 323
[Endpoint coefficient walk sum] For all n∈ N and i,j∈ V, (T^n)_ji = ∑_w∈Walk_n(i,j)c^←(w). statusleanthreeKomorebi.PaperIII.EdgeOperators.PacketGraph.EdgeSystem.Connects; Komorebi.PaperIII.EdgeOperators.PacketGraph.EdgeSystem.endpointWalkCoefficientSum; Komorebi.PaperIII.EdgeOperators.PacketGraph.EdgeSystem.transferOp_pow_apply_eq_sum_walks
Exact mathematical passage
\boxed{ (T^n)_{ji} = \sum_{w\in\Walk_n(i,j)}c^\leftarrow(w). }
\sum_zUse in source · 1 passage
Search aliases: ∑_z sum
Use in source · visual_atlas.tex, line 59
On a vector (x_0,x_1,x_2)^ T, the first step produces (0,2x_0,0)^ T, and the second produces (0,0,6x_0)^ T. Thus L_fL_e=6E_20, L_eL_f=0. For general edges, a summand in the entrywise product can survive only when the same intermediate packet is both tgt(e) and src(f): (L_fL_e)_yx=∑_z(L_f)_yz(L_e)_zx. This is why a broken interface annihilates the entire product, even if both edge coefficients are nonzero.
Exact mathematical passage
(L_fL_e)_{yx}=\sum_z(L_f)_{yz}(L_e)_{zx}.
\sum_{z\in V}Use in source · 1 passage
Search aliases: ∑_z∈ V sum in
Use in source · Read passage · 01_finite_coordinates.tex, line 114
For a matrix entry (y,x), (L_fL_e)_yx=∑_z∈ V(L_f)_yz(L_e)_zx. A potentially nonzero summand would require simultaneously z=src(f) and z=tgt(e), contrary to the hypothesis.
Exact mathematical passage
(L_fL_e)_{yx}=\sum_{z\in V}(L_f)_{yz}(L_e)_{zx}.
\sum_{\alpha_1,\ldots,\alpha_r}Use in source · 2 passages
Search aliases: ∑_α_1,…,α_r sum alpha ldots alpha
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 236
[Exact reconstruction of derivatives] For h_1,…,h_r∈ X, D^rF(x)[h_1,…,h_r] = ∑_γ ∑_α_1,…,α_r J^r_γmidα_1,…,α_rF(x) [P_α_1h_1,…,P_α_rh_r].
Exact mathematical passage
D^rF(x)[h_1,\ldots,h_r] = \sum_{\gamma} \sum_{\alpha_1,\ldots,\alpha_r} J^{r}_{\gamma\mid\alpha_1,\ldots,\alpha_r}F(x) [P_{\alpha_1}h_1,\ldots,P_{\alpha_r}h_r].
\sum_\betaUse in source · 1 passage
Search aliases: ∑_β sum beta
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 523
At a vertex labeled by an r multilinear map B_r, insert I_X=∑_β P_β on the output and in every input slot. Multilinearity gives an exact finite sum of packet blocks at that vertex. Apply this identity successively from the leaves toward the root. Since the tree and the packet set are finite, all sums are finite and their total reconstructs the original tree value.
Exact mathematical passage
I_X=\sum_\beta P_\beta
\sum_\gammaUse in source · 3 passages
Search aliases: ∑_γ sum gamma
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 247
Insert I_Y=∑_γ Q_γ on the output and I_X=∑_α P_α in every input slot. Multilinearity expands the finite sums.
Exact mathematical passage
I_Y=\sum_\gamma Q_\gamma
\sum_{\gamma}Use in source · 1 passage
Search aliases: ∑_γ sum gamma
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 236
[Exact reconstruction of derivatives] For h_1,…,h_r∈ X, D^rF(x)[h_1,…,h_r] = ∑_γ ∑_α_1,…,α_r J^r_γmidα_1,…,α_rF(x) [P_α_1h_1,…,P_α_rh_r].
Exact mathematical passage
D^rF(x)[h_1,\ldots,h_r] = \sum_{\gamma} \sum_{\alpha_1,\ldots,\alpha_r} J^{r}_{\gamma\mid\alpha_1,\ldots,\alpha_r}F(x) [P_{\alpha_1}h_1,\ldots,P_{\alpha_r}h_r].
\sum_{\gamma_1,\gamma_2}Use in source · 1 passage
Search aliases: ∑_γ_1,γ_2 sum gamma gamma
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 401
[The second order composition law] At order two, the partition formula has two shapes. For packet directions h_1 and h_2, R_δ D^2(F∘ G)(x)[h_1,h_2] = · ∑_γ_1,γ_2 J^2_δmidγ_1,γ_2F(Gx) [J^1_γ_1midα_1G(x)h_1,J^1_γ_2midα_2G(x)h_2] · + ∑_γ J^1_δmidγF(Gx) [J^2_γmidα_1,α_2G(x)[h_1,h_2]]. The first line records two first order changes entering a quadratic interaction of F. The second records a genuine second order interaction created inside G before F is applied.
Exact mathematical passage
\begin{aligned} R_\delta D^2(F\circ G)(x)[h_1,h_2] ={}& \sum_{\gamma_1,\gamma_2} J^2_{\delta\mid\gamma_1,\gamma_2}F(Gx) [J^1_{\gamma_1\mid\alpha_1}G(x)h_1,J^1_{\gamma_2\mid\alpha_2}G(x)h_2]\\ &+ \sum_\gamma J^1_{\delta\mid\gamma}F(Gx) [J^2_{\gamma\mid\alpha_1,\alpha_2}G(x)[h_1,h_2]]. \end{aligned}
\sum_{\gamma_1,\ldots,\gamma_k}Use in source · 1 passage
Search aliases: ∑_γ_1,…,γ_k sum gamma ldots gamma
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 353
di Bruno formula] Let n≥1, let X,Y,Z be Banach spaces over the same real or complex field, and let G:X→ Y and F:Y→ Z be n times continuously Fr echet differentiable. Let P, Q, and R be packet systems on X, Y, and Z. Fix input packets α_1,…,α_n, an output packet δ, and directions h_i∈ X_α_i. Then · J^n_δmidα_1,…,α_n(F∘ G)(x) [h_1,…,h_n] · = ∑_π={B_1,…,B_k} ∑_γ_1,…,γ_k J^k_δmidγ_1,…,γ_kF(Gx) [ G_γ_1,B_1(xmid h),…, G_γ_k,B_k(xmid h) ]. The first sum runs over all set partitions of {1,…,n}.
Exact mathematical passage
\begin{aligned} &J^{n}_{\delta\mid\alpha_1,\ldots,\alpha_n}(F\circ G)(x) [h_1,\ldots,h_n]\\ &= \sum_{\pi=\{B_1,\ldots,B_k\}} \sum_{\gamma_1,\ldots,\gamma_k} J^{k}_{\delta\mid\gamma_1,\ldots,\gamma_k}F(Gx) \big[ G_{\gamma_1,B_1}(x\mid h),\ldots, G_{\gamma_k,B_k}(x\mid h) \big]. \end{aligned}
\sum_\muUse in source · 1 passage
Search aliases: ∑_μ sum mu
Use in source · Read passage · 02_connections_obstructions.tex, line 513
Insert completeness on both sides: Ob = (∑_μΠ^a_μ) Ob (∑_νΠ^a_ν) = ∑_μ,νΠ^a_μObΠ^a_ν. Thus (iv) implies (iii), and (iii) implies (iv) by composition with the projectors. Conditions (ii) and (iii) are equivalent by the definition of Ob and additive cancellation. Conditions (i) and (ii) are equivalent by [source reference].
Exact mathematical passage
\Ob = \left(\sum_\mu\Pi^a_\mu\right) \Ob \left(\sum_\nu\Pi^a_\nu\right) = \sum_{\mu,\nu}\Pi^a_\mu\Ob\Pi^a_\nu.
\sum_{\mu,\nu}Use in source · 2 passages
Search aliases: ∑_μ,ν sum mu nu
Use in source · Read passage · 02_connections_obstructions.tex, line 513
Insert completeness on both sides: Ob = (∑_μΠ^a_μ) Ob (∑_νΠ^a_ν) = ∑_μ,νΠ^a_μObΠ^a_ν. Thus (iv) implies (iii), and (iii) implies (iv) by composition with the projectors. Conditions (ii) and (iii) are equivalent by the definition of Ob and additive cancellation. Conditions (i) and (ii) are equivalent by [source reference].
Exact mathematical passage
\Ob = \left(\sum_\mu\Pi^a_\mu\right) \Ob \left(\sum_\nu\Pi^a_\nu\right) = \sum_{\mu,\nu}\Pi^a_\mu\Ob\Pi^a_\nu.
\sum_{\mu,\nu\in I_a}Use in source · 1 passage
Search aliases: ∑_μ,ν∈ I_a sum mu nu in
Use in source · Read passage · 02_connections_obstructions.tex, line 493
[Exact reconstruction and detection by obstruction blocks] The total obstruction has the exact finite resolution Ob_c,b,a = ∑_μ,ν∈ I_a Ob^μν_c,b,a. Moreover, the following are equivalent: [label=(roman*)] item Δ_c,b,a=0; item H_c,b,a=id; item Ob_c,b,a=0; item Ob^μν_c,b,a=0 for every μ,ν. statusleanthreeKomorebi.PaperIII.HolonomyBlocks.obstruction_sum_blocks; Komorebi.PaperIII.HolonomyBlocks.obstructionBlocks_zero_iff; Komorebi.PaperIII.HolonomyBlocks.obstructionDetection_equivalences
Exact mathematical passage
\boxed{ \Ob_{c,b,a} = \sum_{\mu,\nu\in I_a} \Ob^{\mu\nu}_{c,b,a}. }
\sum_\nuUse in source · 1 passage
Search aliases: ∑_ν sum nu
Use in source · Read passage · 02_connections_obstructions.tex, line 513
Insert completeness on both sides: Ob = (∑_μΠ^a_μ) Ob (∑_νΠ^a_ν) = ∑_μ,νΠ^a_μObΠ^a_ν. Thus (iv) implies (iii), and (iii) implies (iv) by composition with the projectors. Conditions (ii) and (iii) are equivalent by the definition of Ob and additive cancellation. Conditions (i) and (ii) are equivalent by [source reference].
Exact mathematical passage
\Ob = \left(\sum_\mu\Pi^a_\mu\right) \Ob \left(\sum_\nu\Pi^a_\nu\right) = \sum_{\mu,\nu}\Pi^a_\mu\Ob\Pi^a_\nu.
\sum_{\pi=\{B_1,\ldots,B_k\}}Use in source · 1 passage
Search aliases: ∑_π={B_1,…,B_k} sum pi ldots
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 353
di Bruno formula] Let n≥1, let X,Y,Z be Banach spaces over the same real or complex field, and let G:X→ Y and F:Y→ Z be n times continuously Fr echet differentiable. Let P, Q, and R be packet systems on X, Y, and Z. Fix input packets α_1,…,α_n, an output packet δ, and directions h_i∈ X_α_i. Then · J^n_δmidα_1,…,α_n(F∘ G)(x) [h_1,…,h_n] · = ∑_π={B_1,…,B_k} ∑_γ_1,…,γ_k J^k_δmidγ_1,…,γ_kF(Gx) [ G_γ_1,B_1(xmid h),…, G_γ_k,B_k(xmid h) ]. The first sum runs over all set partitions of {1,…,n}.
Exact mathematical passage
\begin{aligned} &J^{n}_{\delta\mid\alpha_1,\ldots,\alpha_n}(F\circ G)(x) [h_1,\ldots,h_n]\\ &= \sum_{\pi=\{B_1,\ldots,B_k\}} \sum_{\gamma_1,\ldots,\gamma_k} J^{k}_{\delta\mid\gamma_1,\ldots,\gamma_k}F(Gx) \big[ G_{\gamma_1,B_1}(x\mid h),\ldots, G_{\gamma_k,B_k}(x\mid h) \big]. \end{aligned}
\sum_{\tau\in\mathfrak T_m}Use in source · 2 passages
Search aliases: ∑_τ∈ T_m sum tau in mathfrak
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 472
Let T_m be the finite set of ordered rooted trees of height less than m. A leaf has value s. If the root of τ has arity r and ordered subtrees τ_1,…,τ_r, define B_τ(s)=B_r(B_τ_1(s),…,B_τ_r(s)). Induction on m shows that the Picard iterate u_0=0 and u_m+1=Φ(u_m) satisfies u_m=∑_τ∈ T_mB_τ(s). Define a nonnegative scalar weight by assigning weight a to a leaf and applying the scalar map (t_1,…,t_r)↦ b_rt_1⋯ t_r at a vertex of arity r. A second induction gives ∑_τ∈ T_m B_τ(s) ≤ ∑_τ∈ T_mw(τ) =t_m, wh…
Exact mathematical passage
u_m=\sum_{\tau\in\mathfrak T_m}B_\tau(s).
\sum_{\ell=0}^{m-1}Use in source · 1 passage
Search aliases: ∑_ℓ=0^m-1 sum ell
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 860
y[Several refinement levels] Let C_ℓ:X_ℓ+1→ X_ℓ for 0≤ℓ<m. Suppose x_ℓ is a fixed point at level ℓ, the coarse map at level ℓ has contraction constant q_ℓ<1, and the adjacent defect at x_ℓ+1 is at most ε_ℓ. Write C_a,b=C_aC_a+1⋯ C_b-1 for a<b, C_a,a=I. Then C_0,mx_m-x_0 ≤ ∑_ℓ=0^m-1 C_0,ℓ fracε_ℓ1-q_ℓ.
Exact mathematical passage
\|C_{0,m}x_m-x_0\| \le \sum_{\ell=0}^{m-1} \|C_{0,\ell}\| \frac{\varepsilon_\ell}{1-q_\ell}.
\circUse in source · 16 passages
Search aliases: ∘ circ
Use in source · Read passage · 02_connections_obstructions.tex, line 720
:Xxrightarrow∼X_a and A^X_b:Xxrightarrow∼X_b be exact coordinate equivalences for X, with inverses S^X_a and S^X_b. Likewise, let A^Y_r:Yxrightarrow∼Y_r and A^Y_s:Yxrightarrow∼Y_s be exact coordinate equivalences for Y, with inverses S^Y_r and S^Y_s. Let F:X→ Y be any function, with no linearity or differentiability hypothesis. Set J^X_b← a= A^X_b∘ S^X_a, J^Y_s← r= A^Y_s∘ S^Y_r, and define widehat F_r← a = A^Y_r∘ F∘ S^X_a. Then J^Y_s← r∘widehat F_r← a = widehat F_s← b∘ J^X_b← a. If A^Z_t:Zxright…
Exact mathematical passage
J^X_{b\leftarrow a}=\cA^X_b\circ\cS^X_a, \qquad J^Y_{s\leftarrow r}=\cA^Y_s\circ\cS^Y_r,
\inftyUse in source · 8 passages
Search aliases: ∞ infty
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 645
[Packet equations for L_∞ operations] Let L be complete and carry operations ℓ_r that respect a finite abelian group grading. Assume the packet projectors are continuous for the topology in which the series below converges. Assume the Maurer Cartan series ∑_r≥1frac1r!ℓ_r(η,…,η) converges and the required factorials are invertible. Then its packet of label k is ∑_r≥1frac1r! ∑_g_1+⋯+g_r=k ℓ_r(η_g_1,…,η_g_r). The full Maurer Cartan equation holds if and only if every packet equation vanishes.
Exact mathematical passage
L_\infty
\capUse in source · 3 passages
Search aliases: ∩ cap
Use in source · Read passage · 04_correction_transport.tex, line 44
[Right inverse correction theorem] Let D:X→ Y be a bounded linear map between Banach spaces. Assume Z=im D is closed and there is a bounded linear right inverse R:Z⟶ X, DR=I_Z. Put X_R=R(Z). Let N:overline B_ρ(0)∩ X_R⟶ Z be L Lipschitz. Let y∈ Z and put q= R L. Assume q<1 and R(y-N(0)) ≤ (1-q)ρ. Then the equation Dx+N(x)=y has a unique solution in overline B_ρ(0)∩ X_R.
Exact mathematical passage
N:\overline B_\rho(0)\cap X_R\longrightarrow Z
\cupUse in source · 2 passages
Search aliases: ∪ cup
Use in source · Read passage · 04_correction_transport.tex, line 908
[Exact direct packet rotation] If max({0}∪{ P_α-Q_α :α∈ I})<1, then S( Q, P) is invertible. The operator U( Q, P) is unitary and satisfies Q_α U( Q, P) = U( Q, P)P_α for every α.
Exact mathematical passage
\max\bigl(\{0\}\cup\{\|P_\alpha-Q_\alpha\|:\alpha\in I\}\bigr)<1,
\intUse in source · 2 passages
Search aliases: ∫ int
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 300
· +Q_γ R_m+1(x,h), where the Bochner integral remainder is R_m+1(x,h) = frac1m! ∫_0^1(1-t)^m D^m+1F(x+th)[h,…,h] dt.
Exact mathematical passage
R_{m+1}(x,h) = \frac1{m!} \int_0^1(1-t)^m D^{m+1}F(x+th)[h,\ldots,h]\,dt.
\int_0^1Use in source · 2 passages
Search aliases: ∫_0^1 int
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 300
· +Q_γ R_m+1(x,h), where the Bochner integral remainder is R_m+1(x,h) = frac1m! ∫_0^1(1-t)^m D^m+1F(x+th)[h,…,h] dt.
Exact mathematical passage
R_{m+1}(x,h) = \frac1{m!} \int_0^1(1-t)^m D^{m+1}F(x+th)[h,\ldots,h]\,dt.
\congUse in source · 5 passages
Search aliases: ≅ cong
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 986
[Packet decomposition of an obstruction] Suppose U=⊕_α∈ IU_α, V=⊕_α∈ IV_α, and D(U_α)⊆ V_α for every α. Let D_α:U_α⟶ V_α be the restriction. Then coker D ≅ ⊕_α∈ Icoker D_α. Under this isomorphism, the obstruction class of r=∑_α r_α is the tuple ([r_α])_α. Hence r is correctable if and only if every packet obstruction vanishes.
Exact mathematical passage
\coker D \cong \bigoplus_{\alpha\in I}\coker D_\alpha.
\equivUse in source · 3 passages
Search aliases: ≡ equiv
Use in source · Read passage · 04_correction_transport.tex, line 217
Suppose x_m satisfies Φ(x_m)∈ F^mY. Assume that corrections h∈ F^mX obey a first order congruence Φ(x_m+h) ≡ Φ(x_m)+L_mh pmodF^m+1Y, where L_m:F^mX→ F^mY is a module homomorphism satisfying L_m(F^m+1X)⊆ F^m+1Y and therefore induces overline L_m: F^mX/F^m+1X ⟶ F^mY/F^m+1Y.
Exact mathematical passage
\Phi(x_m+h) \equiv \Phi(x_m)+L_mh \pmod{F^{m+1}Y},
\geUse in source · 14 passages
Search aliases: ≥ ge
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 316
open preimage of the domain under t↦ x+th. It contains [0,1], and repeated differentiation gives g^(r)(t)=D^rF(x+th)[h,…,h]. The derivatives are continuous on the compact interval, so their Bochner integrals exist in the Banach codomain. Put T_j=frac1j!∫_0^1(1-t)^j g^(j+1)(t) dt (0≤ j≤ m). The fundamental theorem of calculus gives T_0=g(1)-g(0). For j≥1, integration by parts gives T_j=T_j-1-g^(j)(0)/j!. Iterating this relation proves the Taylor identity with remainder T_m=R_m+1(x,h) and its exac…
Exact mathematical passage
j\ge1
\geqUse in source · 1 passage
Search aliases: ≥ geq
Use in source · Read passage · 02_connections_obstructions.tex, line 609
[Packet path expansion for different matrices] For i,j∈ V and m≥1, set i_0=i and i_m=j. Then (B_m⋯ B_1)_ji = ∑_(i_1,…,i_m-1)∈ V^m-1 B_m[i_m,i_m-1]⋯ B_1[i_1,i_0]. When m=1, the sum is over the unique empty tuple and its summand is B_1[j,i]. For m=0, the product is the identity and the entry is the Kronecker delta δ_ji. If every B_r[q,p] vanishes outside a declared relation R_r(p,q), then the endpoint entry is zero whenever there is no packet path compatible with the successive relations. statusle…
Exact mathematical passage
m\geq1
\supseteqUse in source · 2 passages
Search aliases: ⊇ supseteq
Use in source · Read passage · 04_correction_transport.tex, line 199
Let X and Y be modules with decreasing filtrations X=F^0X⊇ F^1X⊇⋯, Y=F^0Y⊇ F^1Y⊇⋯. Assume both are separated and complete for their filtration topologies. Let Φ:X→ Y be continuous and filtration congruence preserving in the sense that h∈ F^mX Longrightarrow Φ(x+h)-Φ(x)∈ F^mY for every x∈ X and every m. This condition makes the statement Φ(x)∈ F^mY depend only on the class of x modulo F^mX.
Exact mathematical passage
X=F^0X\supseteq F^1X\supseteq\cdots, \qquad Y=F^0Y\supseteq F^1Y\supseteq\cdots.
\bigoplusUse in source · 12 passages
Search aliases: ⊕ bigoplus
Use in source · Read passage · 01_finite_coordinates.tex, line 146
[Current fiber scope] The compiled Paper III model above has one scalar coordinate per packet. For a family of modules (X_i)_i∈ V, an intrinsic edge map would instead have type ℓ_e:X_src(e)→ X_tgt(e), and its totalization on ⊕_iX_i would be ι_tgt(e)ℓ_eπ_src(e). The same support proof applies, but this generalization with dependent fibers is not attributed to the released Paper III modules for scalar edge systems.
Exact mathematical passage
\bigoplus_iX_i
\bigoplus_{g\in G}Use in source · 2 passages
Search aliases: ⊕_g∈ G bigoplus in
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 567
Let G be a finite abelian group and let A=⊕_g∈ GA_g be a G graded module.
Exact mathematical passage
A=\bigoplus_{g\in G}A_g
\bigoplus_iUse in source · 1 passage
Search aliases: ⊕_i bigoplus
Use in source · Read passage · 01_finite_coordinates.tex, line 146
[Current fiber scope] The compiled Paper III model above has one scalar coordinate per packet. For a family of modules (X_i)_i∈ V, an intrinsic edge map would instead have type ℓ_e:X_src(e)→ X_tgt(e), and its totalization on ⊕_iX_i would be ι_tgt(e)ℓ_eπ_src(e). The same support proof applies, but this generalization with dependent fibers is not attributed to the released Paper III modules for scalar edge systems.
Exact mathematical passage
\bigoplus_iX_i
\bigoplus_{j\in\mathbb Z/N\mathbb Z}Use in source · 1 passage
Search aliases: ⊕_j∈ Z/N Z bigoplus in mathbb mathbb
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 597
[Cyclic product formula] For a cyclically graded algebra A=⊕_j∈ Z/N ZA_j, A_iA_j⊆ A_i+j, one has P_k(ab)= ∑_i+j=ka_ib_j.
Exact mathematical passage
A=\bigoplus_{j\in\mathbb Z/N\mathbb Z}A_j, \qquad A_iA_j\subseteq A_{i+j},
\bigoplus_\alphaUse in source · 2 passages
Search aliases: ⊕_α bigoplus alpha
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 1000
The grading assumption gives im D=⊕_αim D_α. Taking the quotient of the direct sum by this direct sum of images gives the displayed isomorphism.
Exact mathematical passage
\im D=\bigoplus_\alpha\im D_\alpha.
\bigoplus_{\alpha\in I}Use in source · 6 passages
Search aliases: ⊕_α∈ I bigoplus alpha in
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 91
Let X be a module over a unital ring. A finite packet system on X is a family P=(P_α)_α∈ I⊆End(X) of nonzero idempotents such that P_α P_β=0 when α≠β, ∑_α∈ IP_α=I_X. Write X_α=P_α X, X^ P=⊕_α∈ IX_α. The analysis and synthesis maps are A_ Px=(P_α x)_α, S_ P(x_α)_α=∑_α x_α. They are inverse isomorphisms.
Exact mathematical passage
X_\alpha=P_\alpha X, \qquad X^{\Pcal}=\bigoplus_{\alpha\in I}X_\alpha.
\perpUse in source · 1 passage
Search aliases: ⊥ perp
Use in source · Read passage · 04_correction_transport.tex, line 11
[Orthogonal obstruction projector] Let D:H_1→ H_2 be a bounded operator between Hilbert spaces with closed range. Let D^† be its Moore Penrose inverse. Then P_ob=I_H_2-DD^† is the orthogonal projector onto (im D)^⊥=Ker D^*. For r∈ H_2, the following are equivalent: item Du=-r is solvable item [r]=0 in coker D item P_obr=0. When these conditions hold, -D^† r is the least norm correction. For every r, dist(r,im D)= P_obr .
Exact mathematical passage
(\im D)^\perp=\Ker D^*.
\bigcapUse in source · 2 passages
Search aliases: ⋂ bigcap
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 75
a normed setting every packet projector and every coarsening operator is bounded. Differentiability of operator valued maps is taken in operator norm. A Banach space isomorphism is a bounded linear bijection with bounded inverse. For a decreasing filtration (F^mX), completeness means that the canonical map X⟶varprojlim_m X/F^mX is an isomorphism and separatedness means ⋂_mF^mX=0. Statements about congruence classes in a filtered nonlinear problem also assume that the nonlinear map preserves filt…
Exact mathematical passage
\bigcap_mF^mX=0
\bigcap_mUse in source · 1 passage
Search aliases: ⋂_m bigcap
Use in source · Read passage · 03_nonlinear_coordinates.tex, line 75
a normed setting every packet projector and every coarsening operator is bounded. Differentiability of operator valued maps is taken in operator norm. A Banach space isomorphism is a bounded linear bijection with bounded inverse. For a decreasing filtration (F^mX), completeness means that the canonical map X⟶varprojlim_m X/F^mX is an isomorphism and separatedness means ⋂_mF^mX=0. Statements about congruence classes in a filtered nonlinear problem also assume that the nonlinear map preserves filt…
Exact mathematical passage
\bigcap_mF^mX=0
\bigcap_rUse in source · 1 passage
Search aliases: ⋂_r bigcap
Use in source · Read passage · 04_correction_transport.tex, line 358
Fix r. For every m≥ r, one has Φ(x_m)∈ F^mY⊆ F^rY. The submodule F^rY is open and therefore closed in the filtration topology. Continuity of Φ gives Φ(x_m)→Φ(x_∞), so Φ(x_∞)∈ F^rY. Since this holds for every r and Y is separated, Φ(x_∞)∈⋂_rF^rY=0.
Exact mathematical passage
\Phi(x_\infty)\in\bigcap_rF^rY=0.
\longmapstoUse in source · 2 passages
Search aliases: ⟼ longmapsto
Use in source · Read passage · 04_correction_transport.tex, line 294
[Well defined lift classes] Under the filtration congruence assumption, the condition Φ(x)∈ F^mY depends only on the class of x in X/F^mX. Fix a representative x_m of a depth m class. The map [h]⟼[x_m+h]_m+1 identifies correction classes [h]∈ F^mX/F^m+1X with the classes at depth m+1 that reduce to [x_m]_m. Under this identification, the solutions of the associated graded correction equation in [source reference] are exactly the children whose defect lies in F^m+1Y. A different representative of…
Exact mathematical passage
[h]\longmapsto[x_m+h]_{m+1}
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