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Reusable theorem templates

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12.2 Reusable theorem templates

12.2.1 Purpose

This chapter collects proof architectures that recur across gate logics. Each template separates the easy upper-bound identity from the difficult lower-bound obligation. The templates are not claims that every gate hierarchy satisfies the hypotheses.

12.2.2 Template I: catalytic conjugation

Let \(H\le G\) have restricted and ambient costs with \({\ell_{\mathrm{amb}}}(g^{-1})={\ell_{\mathrm{amb}}}(g)\). Choose \(g\in G\) and \(h_1,\ldots,h_m\in H\) such that

\[ U=g h_m\cdots h_1 g^{-1}\in H. \]

Then

\[ {\ell_{\mathrm{amb}}}(U) \le 2{\ell_{\mathrm{amb}}}(g)+\sum_i{\ell_{\mathrm{amb}}}(h_i). \]

Theorem 12.2: Catalytic comparison template

Assume a restricted lower bound of the form

\[ {\ell_{\mathrm{res}}}(U) \ge \sum_i r_i-\beta, \]

where \(r_i\) is the restricted cost of the \(i\)th transported obligation and \(\beta\) is the maximum certified sharing. Then

\[ \Delta(U) \ge \sum_i r_i-\beta - 2{\ell_{\mathrm{amb}}}(g)-\sum_i{\ell_{\mathrm{amb}}}(h_i). \]

The proof is immediate. The research content lies in bounding \(\beta\).

12.2.3 Template II: amortized consumers

Suppose a catalyst costs \(c_{\mathrm{open}}+c_{\mathrm{close}}\) and each of \(m\) consumers saves at least \(s_i\) restricted cost. Then

\[ \Delta(U) \ge \sum_{i=1}^m s_i -c_{\mathrm{open}}-c_{\mathrm{close}}-r, \]

where \(r\) is repair or interference cost. A threshold occurs when the right side first becomes positive.

This template explains the three-cross rule in the linear atom and guides searches in phase, Gaussian, and routing models.

12.2.4 Template III: first-arrival Green valuation

Let \(S\) be a finite symmetric generating set and

\[ A_S=\sum_{s\in S}\rho(s). \]

Then

\[ \mathcal G_{S,g}(z) =\sum_{k\ge0}\langle\delta_g,A_S^k\delta_e\rangle z^k. \]

Theorem 12.3: First-arrival template

If word multiplicities are nonnegative, then

\[ d_S(e,g)={\operatorname{ord}}_{z=0}\mathcal G_{S,g}(z). \]

For restricted and ambient sets,

\[ \Delta(g)={\operatorname{ord}}_0\mathcal G_{S_R,g}-{\operatorname{ord}}_0\mathcal G_{S_A,g}. \]

This template provides an exact spectral restatement. To turn it into a lower bound without enumeration, one needs control of the endpoint projector coefficients.

12.2.5 Template IV: one-Lipschitz potentials

Let \(F\) be a function on circuit states satisfying

\[ F(I)=0, \qquad |F(gs)-F(g)|\le c(s) \]

for every allowed restricted gate \(s\). Then

\[ {\ell_{\mathrm{res}}}(U)\ge F(U). \]

Potential design steps:

  1. choose a decomposition into cuts, packets, or degree layers;

  2. prove a gate changes the total charge by at most its cost;

  3. ensure cancellations cannot create free progress on many layers;

  4. evaluate the target exactly.

Static sums of ranks are often too coarse in ambient models; time-expanded or target-relative potentials may be required.

12.2.6 Template V: dimension per gate

Let \(X\) be an algebraic family of elementary gates whose irreducible components have dimension at most \(r\). Let \(V\) be an irreducible target variety of dimension \(N\).

Theorem 12.4: Dimension-per-gate template

The closure of the locus reachable in \(L\) gates has dimension at most \(rL\). If \(rL<N\), a generic point of \(V\) is not reachable in \(L\) gates.

If every target in \(V\) has a restricted construction of length at most \(N/r\), then generic restricted and ambient lengths coincide at that value, provided the same parameter bound applies to the ambient alphabet.

12.2.7 Template VI: defect codimension

Assume every target has restricted cost at most \(M\). A defect of size at least \(d\) implies ambient cost at most \(M-d\). If the \((M-d)\)-gate ambient locus has dimension at most \(N-d\), then

\[ {\operatorname{codim}}\overline{\mathcal D_{\ge d}}\ge d. \]

This is the general mechanism behind algebraic rarity.

12.2.8 Template VII: finite-field sparsity

Suppose there are at most \(B\) gate directions and at most \(q^r\) parameter choices per gate over \({\mathbb F}_q\). Then the number of words of length at most \(L\) is at most

\[ \sum_{j=0}^L(Bq^r)^j. \]

If the target family has \(q^N\) points and defect \(d\) forces \(L\le (N-d)/r\), this yields a density bound of order \(q^{-d}\) up to a fixed combinatorial factor.

The estimate counts words, not distinct endpoints, and is therefore an upper bound without injectivity assumptions.

12.2.9 Template VIII: block retraction

Let a large restricted group contain a smaller one through a homomorphic embedding \(\iota\), and suppose a homomorphic retraction \(\pi\) satisfies \(\pi\iota=\operatorname{id}\). Require that every large restricted generator maps to a small restricted word of no greater cost. Then

\[ \ell_{\mathrm{large,res}}(\iota U) \ge \ell_{\mathrm{small,res}}(U). \]

If the ambient embedding preserves gate cost,

\[ \Delta_{\mathrm{large}}(\iota U) \ge \Delta_{\mathrm{small}}(U). \]

This transfers a catalytic atom to architectures containing it as a retract.

12.2.10 Template IX: exact block coupling

For block-lower matrices

\[ M= \begin{pmatrix} A&0\\ XA&D \end{pmatrix}, \]

projection to diagonal blocks forces the costs of \(A\) and \(D\), while rank of the cross block forces at least \({\operatorname{rank}} X\) cross transmissions. If \(X\) is a partial monomial matrix, the lower bound is attained by direct construction.

The same logic extends to trees of blocks whenever every coupling layer has an exact rank certificate and the projections are homomorphisms.

12.2.11 Template X: tensor Leibniz rule

Suppose a restricted complexity is tree tight and satisfies

\[ {\ell_{\mathrm{res}}}(A\otimes B) =n{\ell_{\mathrm{res}}}(A)+m{\ell_{\mathrm{res}}}(B) \]

for \(A\) of size \(m\) and \(B\) of size \(n\). If ambient complexity satisfies the corresponding upper bound, then

\[ \Delta(A\otimes B) \ge n\Delta(A)+m\Delta(B). \]

For tensor powers,

\[ \Delta(A^{\otimes r}) \ge r m^{r-1}\Delta(A). \]

This is the standard route from a finite atom to an \(N\log N\) defect.

12.2.12 Template XI: stable capacity

If

\[ a_{r+s}\le m^s a_r+m^r a_s, \]

then

\[ b_r=\frac{a_r}{m^{r-1}} \]

is subadditive and

\[ \lim_{r\to\infty}\frac{a_r}{r m^{r-1}} \]

exists by Fekete's lemma. This defines a regularized ambient cost and exposes possible tensor activation.

12.2.13 Template XII: vector costs

Let gates carry costs in \({\mathbb R}_+^k\). A lower bound may be a vector inequality

\[ F(U)\preceq\sum_{g\in W}c(g) \]

or a family of scalar inequalities indexed by dual weights \(w\in{\mathbb R}_+^k\):

\[ w\cdot F(U)\le w\cdot c(W). \]

A complete Pareto proof may require enough supporting weights to separate the restricted and ambient convex lower hulls.

12.2.14 Template XIII: ancilla restoration

Let \(W\) act on data \(D\) and ancilla \(A\). To certify a dirty catalyst, prove the operator identity

\[ W=U_D\otimes I_A \]

on the full joint space, not only on one ancilla input. For a clean catalyst, prove

\[ W({\lvert \psi\rangle}\otimes{\lvert 0\rangle}) =(U{\lvert \psi\rangle})\otimes{\lvert 0\rangle} \]

for all \({\lvert \psi\rangle}\). The distinction changes both the target equations and lower bounds.

12.2.15 Template XIV: symmetry-sector escape

Given projectors \(P_q\), define off-sector transfer blocks

\[ T_{qr}=P_qUP_r. \]

A restricted gate preserves all diagonal sectors. An ambient gate changes a controlled collection of blocks. A candidate potential is a weighted sum of ranks or norms of obligations relative to the final target. The proof must charge both creation and useful consumption of off-sector coherence.

12.2.16 Template XV: exhaustive threshold classification

A finite first-threshold theorem should contain:

  1. no defects below size \(n_0\);

  2. at least one defect at \(n_0\);

  3. exact classification of every defect at \(n_0\) modulo declared equivalence;

  4. analytic generation of the exceptional motifs;

  5. equality between the analytic set and computational census;

  6. witness and completeness certificates.

This is the standard achieved by the six-wire linear core and is the target standard for future gate logics.

12.2.17 A proof-obligation ledger

Before promoting a catalytic identity to a theorem, record:

Evidence obligations for a catalytic theorem
ObligationRequired evidence
Endpoint membershipSymbolic proof that the target lies in the restricted class.
Ambient upper boundExplicit circuit evaluated exactly.
Restricted lower boundPotential, rank, algebraic, search, or certificate argument.
RestorationIdentity on all data and work inputs under the chosen convention.
Cost compatibilitySame gate alphabet, weights, and free operations in both metrics.
Minimal thresholdExhaustive or symbolic exclusion of smaller instances.
Equivalence classificationOrbit or normal-form analysis of all minimal defects.
AmplificationProof that the lower bound and upper construction compose.
ReproducibilitySource, frozen outputs, and deterministic commands.
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