Alphabeta Math
LemmaStatement: Literature-sourcedProof: AI-adaptedPipeline-generatedverified 2026-10-22 (gpt-6.1-sol)
How statement and proof provenance work

The first chip identifies the source of the statement or construction; the second identifies the source of its local proof or verification.

  • Literature-sourced: the exact statement appears in a cited source; only wording and notation differ.
  • AI-adapted: a semantically identical restatement of literature-sourced material, modulo indexing, notation, and boundary cases adopted by the library.
  • AI-generated: a genuinely novel statement formulated by AI, with no source for the claim itself.

These labels describe origin, not correctness: citations and verification chips remain separate evidence.

Filtered derivative of an isolated finite-volume band

Statement

Assume Countable Choice. Let HΛ(s) be the finite-volume self-adjoint matrix of a C1 interaction path on the dimensionless parameter s∈[0,1], and let the selected spectral band be a locally fixed spectral cluster, separated from its complement by γ>0 uniformly in s, in the sense of the interaction definition. Choose a positive reference energy E0 and measure physical energies in units of E0; HΛ, HΛ′, and γ in this statement are dimensionless, and the Fourier evolution uses ℏ=1. Let PΛ(s) be the orthogonal spectral projection onto that band. Then PΛ is C1. There is a real, odd, integrable function Wγ∈L1(R), with Fourier convention

W^γ(ω):=∫RWγ(t)eitω dt,

such that W^γ(ω)=i/ω whenever ∣ω∣≥γ, and for every integer N≥0 there is cN<∞ with

∫∣t∣>T∣Wγ(t)∣ dt≤cN(1+T)−N(T≥0).

The finite matrix

DΛ(s):=∫RWγ(t)eitHΛ(s)HΛ′(s)e−itHΛ(s) dt

is self-adjoint and satisfies

PΛ′(s)=i[DΛ(s),PΛ(s)].

Facts & Assumptions

Given: Countable Choice, a finite region Λ, a C1 path HΛ(s)=HΛ(s)∗ from the interaction definition, a selected nonempty spectral band that is a locally fixed spectral cluster in the sense of the interaction definition, and its uniform gap γ>0.

[A1]

The Axiom of Countable Choice (ACω): Countable Choice, as required by the supplied Fourier inversion theorem.

[F1]

Weighted interactions and gapped finite-volume paths: HΛ(s) is a finite self-adjoint matrix and HΛ′(s) exists in matrix norm.

[F2]

Finite matrix spectral and state calculus: each finite Hermitian matrix has an orthonormal eigenbasis with real eigenvalues and its spectral projections are basis independent.

[F3]

Fourier inversion on Schwartz space and Fourier transform acts continuously on Schwartz space: the negative-sign 2π-normalized Fourier transform maps Schwartz space to itself and Fourier inversion holds there; after ω=2πξ and reflection, the inverse for ∫f(t)eitω dt is (2π)−1∫f^(ω)e−itω dω.

[F4]

The residue theorem for a null-homologous cycle: entrywise contour integration of the finite-matrix resolvent encircling selected real eigenvalues returns the sum of their orthogonal eigenspace projections.

[F6]

Dominated convergence: on a measure space, measurable complex functions converging pointwise almost everywhere and dominated in modulus by one nonnegative integrable function have convergent integrals. Apply this scalar result to each entry in a fixed finite orthonormal matrix basis; the existing Countable Choice assumption [A1] supplies the adopted Lebesgue-measure interfaces.

Proof

technique · direct

Given: [A1], [F1]–[F6], a locally fixed selected spectral cluster separated by γ>0, and dimensionless energy units.

1.1givenA1F3F5constructalgebra

Let u be the standard flat function of [F5] and put q(ω):=1−(ω/γ)2 and χ(ω):=e u(q(ω)). Since γ>0, q is a smooth real polynomial. The chain and product rules in [F5], iterated at each derivative order, make χ smooth on all of R: every positive-order derivative is a finite sum of products of a derivative u(m)∘q, with m≥1, and derivatives of q. At ω=±γ, one has q(ω)=0 and every such u(m)(0)=0, so all these derivatives vanish and match the exterior zero branch. The value itself also vanishes there because u(0)=0. Since q>0 exactly when ∣ω∣<γ, this formula is exactly eexp⁡(−1/(1−(ω/γ)2)) inside that interval and zero outside. Thus χ is real, even, smooth, compactly supported in [−γ,γ], and χ(0)=eexp⁡(−1)=1. Define w(t)=(2π)−1∫χ(ω)e−itω dω. By [A1], [F3], and the sign/scale conversion stated in [F3], w is Schwartz, real and even, its Fourier transform w^(ω)=∫w(t)eitωdt equals χ(ω), and ∫w=1. For t>0 put Wγ(t)=∫t∞w(v) dv; for t<0 put Wγ(t)=−∫−∞tw(v) dv; set Wγ(0)=0. Evenness and unit integral make Wγ odd with one-sided limits Wγ(0±)=±12. For every N, a Schwartz bound ∣w(v)∣≤c(1+∣v∣)−N−2 on either tail gives ∣Wγ(t)∣≤c′(1+∣t∣)−N−1; hence Wγ∈L1 and has the stated tail estimate. Integration by parts on the two half-lines, accounting for the jump of size 1 at zero and using Wγ′=−w away from zero, gives −w^(ω)=−1−iωW^γ(ω). Thus W^γ(ω)=i(1−χ(ω))/ω for ω≠0, so it equals i/ω for ∣ω∣≥γ.

1.2F1F2F4givenalgebra

Fix s0. By the locally fixed spectral-cluster hypothesis and [F2], choose a finite union of positively oriented contours Γ surrounding exactly the selected eigenvalues and staying a positive distance from the remaining spectrum, with the same selected eigenvalues enclosed for nearby s. For s near s0, ∥HΛ(s)−HΛ(s0)∥ is small; factoring zI−HΛ(s) through zI−HΛ(s0) and using the norm-convergent Neumann series keeps every z∈Γ in the resolvent set. The contour projection PΛ(s)=12πi∫Γ(zI−HΛ(s))−1 dz is therefore C1, since the inverse matrix is C1 in s.

2.1givenA1F1F2F6step 1.1step 1.2algebra∎

In an orthonormal eigenbasis of HΛ(s), write its eigenvalues as Em and the band indicator as pm∈{0,1}. Differentiating P2=P gives Pmn′=0 when pm=pn. Differentiating HP=PH gives Pmn′=(pm−pn)Hmn′/(Em−En) when pm≠pn; the denominator has magnitude at least γ. The integral defining DΛ converges in norm because Wγ∈L1; it is self-adjoint because Wγ is real and each conjugated HΛ′ is self-adjoint. For each fixed t, the matrix exponential series for e±itHΛ(s) converges uniformly in s∈[0,1]: if M=sup⁡s∥HΛ(s)∥<∞, its order-r term has norm at most (∣t∣M)r/r!. The terms are continuous in s, so both exponentials, and hence their product with the continuous HΛ′(s), are norm-continuous in s. For any sequence sm→s in [0,1], each matrix entry of the difference of the filtered integrands tends pointwise to zero and has modulus at most 2sup⁡v∥HΛ′(v)∥∣Wγ(t)∣, an integrable majorant by step 1.1 and compact-interval boundedness of HΛ′. The entries are measurable in t, since the exponentials are continuous in t and Wγ is measurable. Applying [F6] entrywise gives convergence of every entry of DΛ(sm)−DΛ(s). If the matrix dimension is mΛ, then ∥R∥≤mΛmax⁡i,j∣Rij∣: for a unit vector x, ∣(Rx)i∣≤max⁡i,j∣Rij∣∑j∣xj∣≤mΛmax⁡i,j∣Rij∣, and summing squares over i proves the bound. Thus entrywise convergence gives norm convergence, proving norm-continuity of DΛ without an undeclared norm-equivalence theorem. Its matrix entries are (DΛ)mn=Hmn′W^γ(Em−En)=iHmn′/(Em−En) across the band gap. Hence i[DΛ,PΛ]mn=(pn−pm)i(DΛ)mn=(pm−pn)Hmn′/(Em−En)=Pmn′ across the gap, and both sides vanish within either band block. This proves the identity in every matrix entry.

Depends on

Dependency tree · 2 levels

Sources