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Fractional powers as spectral packet transfer

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10 Fractional powers as spectral packet transfer

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First identify the positive operator and its spectral packets. Then distinguish an exact spectral identity from a bound for a refinement mismatch. The gap-free certificate and the common-gap estimate have different hypotheses and different strengths.

Let \(L=L^*\ge0\) on a finite-dimensional Hilbert space. Its spectral resolution is

\[ L=\sum_j\lambda_jP_j. \]

For \(\alpha>0\), define

\[ \boxed{L^\alpha=\sum_j\lambda_j^\alpha P_j.} \]

The associated fractional semigroup is

\[ T_\alpha(t)=e^{-tL^\alpha} =\sum_je^{-t\lambda_j^\alpha}P_j. \]

Theorem 10.1: Fractional packet calculus

For \(\alpha,\beta>0\),

\[ L^\alpha L^\beta=L^{\alpha+\beta}, \]

and for \(s,t\ge0\),

\[ \boxed{T_\alpha(s)T_\alpha(t)=T_\alpha(s+t).} \]

Every spectral packet \(P_j\) reduces \(L^\alpha\) and \(T_\alpha(t)\).

Proof of Theorem 10.1

All statements hold coefficientwise on the mutually orthogonal spectral projectors. For example,

\[ L^\alpha L^\beta =\sum_{j,k}\lambda_j^\alpha\lambda_k^\beta P_jP_k =\sum_j\lambda_j^{\alpha+\beta}P_j. \]
Different spectral exponents produce different transfer profiles from the same point seed.
Different spectral exponents produce different transfer profiles from the same point seed.

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10.1 Square-root subordination

Theorem 10.2: Poisson subordination

For \(t>0\) and \(L\ge0\),

\[ \boxed{ e^{-t\sqrt L} = \frac{t}{2\sqrt\pi} \int_0^\infty s^{-3/2}e^{-t^2/(4s)}e^{-sL}\,ds. } \]

The integral converges in operator norm in finite dimension.

Proof of Theorem 10.2

By the spectral theorem it suffices to prove the scalar identity

\[ e^{-t\sqrt\lambda} = \frac{t}{2\sqrt\pi} \int_0^\infty s^{-3/2}e^{-t^2/(4s)-\lambda s}\,ds \]

for \(\lambda\ge0\). This is the classical Gaussian integral after the substitution \(u=t/(2\sqrt s)\). Applying the identity to every eigenvalue and recombining the spectral projectors proves the operator formula.

10.2 Fractional naturality under a bounded refinement defect

Let \(A\ge0\) act on a fine Hilbert space, let \(B\ge0\) act on a coarse Hilbert space, and let \(C\) be a bounded coarsening map. Set

\[ D=CA-BC, \qquad D_\alpha=CA^\alpha-B^\alpha C, \qquad 0<\alpha<1. \]

Theorem 10.3: Fractional intertwining theorem

For bounded nonnegative self-adjoint \(A\) and \(B\),

\[ \boxed{ D_\alpha = \frac{\sin(\pi\alpha)}{\pi} \int_0^\infty t^\alpha(tI+B)^{-1}D(tI+A)^{-1}\,dt. } \]

The improper integral converges in operator norm. Moreover,

\[ \boxed{ {\left\lVert D_\alpha\right\rVert} \le K_\alpha{\left\lVert C\right\rVert}^{1-\alpha}{\left\lVert D\right\rVert}^{\alpha}, \qquad K_\alpha= \frac{2^{1-\alpha}\sin(\pi\alpha)} {\pi\alpha(1-\alpha)}. } \]

If \(A,B\ge mI\) for some \(m>0\), then the stronger linear estimate holds:

\[ \boxed{ {\left\lVert D_\alpha\right\rVert} \le \alpha m^{\alpha-1}{\left\lVert D\right\rVert}. } \]

In particular, exact generator intertwining \(CA=BC\) implies exact fractional intertwining \(CA^\alpha=B^\alpha C\).

Proof of Theorem 10.3

For \(0<\alpha<1\), the Balakrishnan formula gives

\[ A^\alpha = \frac{\sin(\pi\alpha)}{\pi} \int_0^\infty t^{\alpha-1}A(tI+A)^{-1}\,dt, \]

and likewise for \(B\). Using

\[ A(tI+A)^{-1}=I-t(tI+A)^{-1} \]

and the rectangular resolvent identity

\[ (tI+B)^{-1}C-C(tI+A)^{-1} = (tI+B)^{-1}(CA-BC)(tI+A)^{-1}, \]

the difference of the two Balakrishnan integrals becomes the displayed resolvent-defect formula.

For small \(t\),

\[ {\left\lVert CA(tI+A)^{-1}-B(tI+B)^{-1}C\right\rVert} \le 2{\left\lVert C\right\rVert}, \]

because the two positive resolvent factors are contractions. For large \(t\), the resolvent identity gives the bound \({\left\lVert D\right\rVert}/t\). Splitting the integral at

\[ r=\frac{{\left\lVert D\right\rVert}}{2{\left\lVert C\right\rVert}} \]

when \(C\) and \(D\) are nonzero yields

\[ \begin{aligned} {\left\lVert D_\alpha\right\rVert} &\le \frac{\sin(\pi\alpha)}{\pi} \left( 2{\left\lVert C\right\rVert}\int_0^r t^{\alpha-1}\,dt + {\left\lVert D\right\rVert}\int_r^\infty t^{\alpha-2}\,dt \right)\\ &= K_\alpha{\left\lVert C\right\rVert}^{1-\alpha}{\left\lVert D\right\rVert}^\alpha. \end{aligned} \]

The zero cases are immediate.

If \(A,B\ge mI\), then both resolvents have norm at most \((t+m)^{-1}\), so

\[ {\left\lVert D_\alpha\right\rVert} \le \frac{\sin(\pi\alpha)}{\pi}{\left\lVert D\right\rVert} \int_0^\infty\frac{t^\alpha}{(t+m)^2}\,dt. \]

After \(t=mu\), the beta integral equals

\[ m^{\alpha-1}\frac{\alpha\pi}{\sin(\pi\alpha)}, \]

which gives the linear estimate.

Corollary 10.4: Fractional semigroup refinement

For \(s\ge0\),

\[ \boxed{ Ce^{-sA^\alpha}-e^{-sB^\alpha}C = -\int_0^s e^{-(s-r)B^\alpha}D_\alpha e^{-rA^\alpha}\,dr. } \]

Hence

\[ {\left\lVert Ce^{-sA^\alpha}-e^{-sB^\alpha}C\right\rVert} \le s{\left\lVert D_\alpha\right\rVert}. \]

Under the common gap \(A,B\ge mI\),

\[ \boxed{ {\left\lVert Ce^{-sA^\alpha}-e^{-sB^\alpha}C\right\rVert} \le s e^{-sm^\alpha}\alpha m^{\alpha-1}{\left\lVert D\right\rVert}. } \]

Proof of Corollary 10.4

Differentiate

\[ r\longmapsto e^{-(s-r)B^\alpha}Ce^{-rA^\alpha} \]

and integrate from \(0\) to \(s\). Positive fractional semigroups are contractions; under the gap, the product of their two norm bounds is \(e^{-sm^\alpha}\).

Corollary 10.5: Fractional refinement towers

Let \(D_\ell=C_\ell A_{\ell+1}-A_\ell C_\ell\) in a bounded nonnegative self-adjoint tower, with \(\sup_\ell{\left\lVert C_\ell\right\rVert}\le M\). If

\[ \sum_\ell{\left\lVert D_\ell\right\rVert}^{\alpha}<\infty, \]

then the fractional defects

\[ C_\ell A_{\ell+1}^{\alpha}-A_\ell^{\alpha}C_\ell \]

have summable operator norms. If the tower has a uniform gap \(m>0\), it is enough that \(\sum_\ell{\left\lVert D_\ell\right\rVert}<\infty\). On every bounded time interval, the series of corresponding fractional-semigroup defect norms converges uniformly. The maps may have different domain and codomain spaces; no operator sum across unrelated spaces is asserted.

A generator-level refinement defect transfers quantitatively to fractional powers and then to fractional semigroups. The two upper curves are theorem certificates, not fitted error bars.
A generator-level refinement defect transfers quantitatively to fractional powers and then to fractional semigroups. The two upper curves are theorem certificates, not fitted error bars.

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Boundary 10.6: Unbounded and nonnormal generators

The theorem resolves fractional naturality for bounded nonnegative self-adjoint refinement systems and gives the exact estimate needed for finite discretization towers. For unbounded positive generators, the same resolvent argument requires a declared common-domain condition and a bounded extension of \(CA-BC\). Sectorial or nonnormal generators require their own contour calculus and resolvent bounds. Those domain questions are not inferred from the finite certificates.

Boundary 10.7: Non-self-adjoint fractional powers

The spectral definition above is complete for finite self-adjoint positive operators. Sectorial and nonnormal operators require a resolvent or contour functional calculus; the same packet language can be used only after those analytic hypotheses are established.

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