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A first-moment bound for the bath correlation convolution
Statement
Use from the normalization lemma. Suppose the stationary correlation is represented almost everywhere by . For a matrix put . Then is finite and . The convolution identity is an explicit premise, not a consequence of stationarity alone.
Facts & Assumptions
The normalized kernel obeys , with , and . Its frequency entries are integrable and its time entries are their Fourier integrals. ULE kernel adjoint symmetry and rate identities
The kernel contract fixes a positive integer , with integrable entries, entrywise Lebesgue integration, and . Stationary correlation spectra and ULE kernel regularity
For vectors in a complex inner product space, . We apply this to finite rows and columns with the Euclidean norm. Cauchy–Schwarz: |⟨ u,v⟩|≤‖ u‖‖ v‖, with equality exactly for linearly dependent vectors
Tonelli applies to nonnegative product-measurable functions on sigma-finite measure spaces before finiteness is known. We use the real line with Borel Lebesgue measure in each factor, exhausted by the finite-measure intervals for positive integers . Tonelli's theorem for nonnegative measurable functions on a sigma-finite product
The Fourier transform of an function is bounded and uniformly continuous. In the supplier's convention, the time kernel is , with the transform taken in the frequency variable. The L1 transform is bounded and uniformly continuous
Translations preserve Lebesgue measurability and measure. Two measures agreeing on a generating pi-system are equal if that pi-system has an increasing common finite-measure exhaustion. Integral invariance under a measure-preserving self-map holds for nonnegative measurable functions, allowing infinity, and for integrable complex functions. These inputs also establish reflection invariance on the Borel line in step 1.2. Lebesgue outer measure, Lebesgue measurability and Lebesgue measure are unchanged by translation Measures agreeing on a generating pi-system are equal under an increasing finite-measure exhaustion from that pi-system Integral invariance under measure-preserving maps
For an integrable complex function , , and the integral is complex-linear on . We apply these facts entrywise, commuting only finite sums with integrals. The modulus of an integral is bounded by the integral of the modulus The Lebesgue integral is linear on L¹(μ)
Proof
Given: The convolution identity and kernel conditions. Goal: Bound .
Apply the Fourier continuity theorem to each frequency entry supplied by the kernel contract. Thus every time entry of is continuous, and is a nonnegative continuous function with moments . In particular is continuous and is measurable for the product of the Borel sigma-algebras. All uses of Tonelli below therefore have product-measurable integrands and sigma-finite factors; no completed-product theorem is needed.
Translations preserve the Borel restriction of Lebesgue measure. Reflection is a Borel bijection, so is another Borel measure. For every bounded open interval , its reflection is its translate by ; hence . The bounded open intervals together with the empty set form a generating pi-system, with common finite-measure exhaustion . Measure uniqueness gives . Thus reflection, translations and their compositions preserve the Borel measure, and integral invariance justifies substitution by any of these maps, including for nonnegative integrals that may be infinite.
For finite compatible matrices, by Cauchy–Schwarz. Summing over gives . Put . By , the matrix product in the convolution has entry norm at most . The convolution premise and the entrywise integral triangle inequality therefore give almost everywhere. Tonelli and the substitution , with fixed, give . Thus is measurable and finite almost everywhere; in particular the majorant also proves absolute convergence of the matrix convolution almost everywhere.
Substitution gives . Hence reflection invariance identifies with half of , including when these integrals are infinite. By the almost-everywhere majorant, .
Apply Tonelli and, at each fixed , substitute using step 1.2. Since , this gives . All integrands interchanged here are nonnegative and product-measurable; Tonelli factors the last two terms using the finite moments . Together with step 3.1 this yields . Multiplication by proves finiteness of and .
Depends on
- ULE kernel adjoint symmetry and rate identities
- Stationary correlation spectra and ULE kernel regularity
- Cauchy–Schwarz: |⟨ u,v⟩|≤‖ u‖‖ v‖, with equality exactly for linearly dependent vectors
- Tonelli's theorem for nonnegative measurable functions on a sigma-finite product
- The L1 transform is bounded and uniformly continuous
- Lebesgue outer measure, Lebesgue measurability and Lebesgue measure are unchanged by translation
- Measures agreeing on a generating pi-system are equal under an increasing finite-measure exhaustion from that pi-system
- Integral invariance under measure-preserving maps
- The modulus of an integral is bounded by the integral of the modulus
- The Lebesgue integral is linear on L¹(μ)
Dependency tree · 2 levels
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