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Convergent jump integrals and Hermitian Lamb operators

Statement

Assume countable choice. All integrals are entrywise Lebesgue integrals, and matrix measurability means measurability of every entry. Use h,G,γ from the normalization lemma. On a finite-dimensional system let Xα(s) be measurable Hermitian matrices with operator norm at most one, 1≤α≤n. The jumps Kλ(t)=γ∑α∫hλα(t−s)Xα(s) ds exist absolutely and satisfy ∥Kλ(t)∥≤γnG. Define ϕ(u,v)=h(u)h(−v)sgn⁡(u−v) and Q(t)=γ2i∑αβ∫ ⁣∫Xα(t+u)Xβ(t+v)ϕαβ(u,v) du dv. This integral is absolutely convergent and Q(t) is Hermitian. Here A† is the conjugate transpose and ∥A∥=sup⁡∥z∥2=1∥Az∥2 is the operator norm on the finite-dimensional complex system space.

Facts & Assumptions

[F1]

The normalized kernel has finite mixed-norm integral G and satisfies h(−u)=h(u)†. Its defining contract gives ∥A∥2,1=∑b(∑a∣Aab∣2)1/2 and integrable frequency entries hab(ω) with hab(t)=∫hab(ω)e−iωtdω. ULE kernel adjoint symmetry and rate identities Stationary correlation spectra and ULE kernel regularity

[A1]

Assume the Axiom of Countable Choice for the product-integration and change-of-variables suppliers. The Axiom of Countable Choice (AC_ω)

[F2]

For two sigma-finite measure spaces, under countable choice, Tonelli applies to nonnegative functions measurable for the completed product, and Fubini applies to its integrable complex functions; the iterated and product integrals agree, with section assertions outside null sets. Tonelli and Fubini for the completed product, with only almost-everywhere section measurability

[F3]

Under countable choice, a C1 diffeomorphism T:U→V of open Euclidean sets preserves Lebesgue measurability and satisfies ∫Vf=∫U(f∘T)∣det⁡DT∣ for nonnegative Lebesgue measurable f. In particular translations and reflections on R have absolute Jacobian one. A C¹ diffeomorphism satisfies the change-of-variables formula for nonnegative Lebesgue measurable functions

[F4]

The Fourier transform of a complex L1(R) function, in the convention f^(ξ)=∫f(ω)e−2πiωξdω, is bounded and uniformly continuous. The L1 transform is bounded and uniformly continuous

[F5]

Complex integrability means finite integral of the modulus, and the integral is defined through real and imaginary parts. The integral is complex-linear on L1 and satisfies ∣∫f∣≤∫∣f∣. Integrable real and complex functions, and their integrals The Lebesgue integral is linear on L¹(μ) The modulus of an integral is bounded by the integral of the modulus

[F6]

For x,y∈Rn, the finite Euclidean Cauchy–Schwarz inequality is ∣∑a=1nxaya∣≤(∑a=1nxa2)1/2(∑a=1nya2)1/2. Cauchy-Schwarz |⟨ x,y⟩| ≤ ‖ x‖₂‖ y‖₂ with its equality case, the triangle inequality for ‖·‖₂, the parallelogram law and polarisation

[F7]

A map between measurable spaces is measurable when inverse images of all measurable codomain sets are measurable. For measurable spaces (X,A) and (Y,B), A⊗B is the sigma-algebra generated by the rectangles A×B with A∈A and B∈B. A measurable function between measurable spaces The product sigma-algebra and its finite iterates

[F8]

On any measurable space, finite real-valued measurable functions are closed under scalar multiplication, sums and products. A finite-valued complex function f=p+iq is measurable exactly when p,q are real measurable; complex products and moduli preserve measurability, using fg=(pr−qs)+i(ps+qr) for g=r+is and ∣f∣=p2+q2. Arithmetic and lattice operations preserve measurability whenever they are defined Complex Lp classes and Euclidean test-function conventions

Proof

Given: Countable choice, the normalized kernel, and the stated measurable norm-bounded Hermitian matrices. Goal: Prove absolute convergence, the jump bound, and Hermiticity.

1.1givenF1F3F4F7F8

The frequency entries in [F1] are in L1(R), so [F4] with ξ=t/(2π) makes every time-kernel entry continuous. Its real and imaginary parts have open inverse images of open sets, hence are Borel and therefore Lebesgue measurable by [F7] and [F8]. Translations and reflections in [F3] preserve measurability of the stated Xα entries and of the kernel entries. Lebesgue measure on R is sigma-finite, using the finite-measure intervals [−m,m], m≥1.

2.1F7F8step 1.1

Write L for the Lebesgue sigma-algebra on R. If f:R→R is Lebesgue measurable and B⊆R is Borel, then {(u,v):f(u)∈B}=f−1(B)×R and {(u,v):f(v)∈B}=R×f−1(B). These are rectangles in L⊗L by [F7], proving the coordinate-pullback assertion directly. Apply this to the real and imaginary parts of the translated and reflected entries from step 1.1; [F8] then gives their complex measurability on this product sigma-algebra.

3.1F2F7F8step 1.1step 2.1

In particular the coordinate functions u,v are product-measurable, and [F8] makes d(u,v)=u−v measurable. The sets E+={d>0} and E−={d<0} are measurable. For a measurable set E, every inverse image under its indicator 1E is one of ∅,E,Ec,R2, so [F7] makes the indicator measurable. Thus sgn⁡(u−v)=1E+−1E− is measurable by [F8]. The same fact supplies finite sums and products of the lifted complex entries. Nonnegative square roots are measurable as well: for measurable r≥0, {r>c}={r>c2} when c≥0, and this set is the whole space when c<0. Consequently the mixed norm a(u)=∥h(u)∥2,1, the majorants used below, every entry of the jump integrand, and every entry of the Lamb integrand are measurable on their stated one-variable or product spaces. Product-measurable functions are measurable for the completion, as the latter sigma-algebra contains the former. Fixing either variable gives the same finite arithmetic constructions on measurable one-variable functions, so every section is measurable too. This establishes the measurability hypotheses needed for [F2].

4.1givenF1F3F5F6step 3.1

Put a(u)=∥h(u)∥2,1 and S(A)=∑a,b∣Aab∣. Apply [F6] in each column b to the real vectors xa=∣Aab∣ and ya=1, 1≤a≤n. This gives ∑a∣Aab∣≤n(∑a∣Aab∣2)1/2; summing over b yields S(A)≤n∥A∥2,1. Hence ∑α∣hλα(t−s)∣≤n a(t−s). By [F3] with s↦t−s, ∫a(t−s)ds=G. The jump integrand has norm at most γn a(t−s), so every entry is integrable. For a matrix-valued integrable function M and unit vectors z,w, [F5] gives ∣w†(∫M)z∣=∣∫w†Mz∣≤∫∥M∥; taking the supremum over z,w yields ∥∫M∥≤∫∥M∥. This proves absolute convergence and ∥Kλ(t)∥≤γnG.

5.1givenA1F1F2F3step 3.1step 4.1

The entrywise product estimate is S(AB)≤S(A)S(B), by expanding each entry and applying the finite triangle inequality. Since ∥XαXβ∥≤1 directly from the operator-norm definition, the norm of the numerator integrand ∑αβXα(t+u)Xβ(t+v)ϕαβ(u,v) is at most S(h(u)h(−v))≤na(u)a(−v). Apply the nonnegative part of [F2] to this measurable majorant. Its iterated integral is n(∫a(u)du)(∫a(−v)dv)=nG2<∞, with the second factor evaluated by reflection in [F3]. This proves absolute convergence before any complex Fubini interchange. Each section is also integrable, since fixing either variable leaves a finite value of one factor times an integrable function of the other.

6.1A1F2F5step 5.1

By the integrable part of [F2], applied entrywise using step 5.1, either order of integration gives the same numerator matrix N(t) of Q(t). By [F5], conjugation commutes with an absolutely convergent scalar integral: write f=p+iq with real integrable p,q, and use ∫f‾=∫p−i∫q=∫f‾. Linearity handles finite matrix sums, so adjoints can be taken inside N(t).

7.1givenF1F2step 4.1step 5.1step 6.1∎

The adjoint symmetry in [F1] and the real antisymmetric sign function give ϕ(v,u)†=(h(v)h(−u))†sgn⁡(v−u)=−h(u)h(−v)sgn⁡(u−v)=−ϕ(u,v). Taking the adjoint of N(t) reverses the two Hermitian X factors. Fubini as justified in step 6.1 permits exchanging integration order; then relabel u,v and α,β. The resulting scalar coefficient is ϕβα(v,u)‾=−ϕαβ(u,v), so N(t)†=−N(t). Since γ is real, (γN(t)/(2i))†=γN(t)/(2i), proving that Q(t) is Hermitian, with the asserted convergence and jump bound already established.

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