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LemmaStatement: AI-adaptedProof: AI-adaptedPipeline-generatedprecheck pendingverified 2026-10-23 (gpt-6.1-sol)
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Finite modal velocity fields inherit finite second moments

Statement

Assume the Axiom of Choice (AC), meaning every family of nonempty sets has a choice function. Let (D,D,λ), d≥1, and H=L2(D,λ;Rd) be as in the Definition of the finite-second-moment random velocity sensor law, with 0<λ(D)<∞. Let m≥1, choose ϕ1,…,ϕm∈H, and let (Ω,F,P) be a probability space. Suppose A:(Ω,F)→(Rm,B(Rm)) is measurable and EP∣A∣2<∞. Define T:Rm→H by T(a)=∑j=1majϕj, set U=T∘A, and define μ(B)=P(U−1(B)) for every B∈B(H). Then U is strongly measurable, μ is a probability measure on (H,B(H)), and ∫H∥v∥H2 dμ(v)=EP∥U∥H2≤(∑j=1m∥ϕj∥H2)EP∣A∣2<∞.

Facts & Assumptions

Given: A finite measure space (D,D,λ) with 0<λ(D)<∞, H=L2(D,λ;Rd), vectors ϕ1,…,ϕm∈H, a probability space (Ω,F,P), and a measurable A:(Ω,F)→(Rm,B(Rm)) with EP∣A∣2<∞.

[A1]

Assume AC, meaning every family of nonempty sets has a choice function. It supplies countable choice for the scalar L2 completeness result used below. The Axiom of Choice

[F1]

The Definition identifies H isometrically with the finite direct sum of d scalar L2(D,λ;R) spaces, with ∥v∥H2=∑r=1d∥v(r)∥22, its norm-Borel sigma-algebra B(H), and the finite-second-moment law defined by the norm-square integral. Finite-second-moment random velocity sensor law

[F2]

A probability measure is countably additive and has total mass one. Probability measures and probability spaces

[F3]

Strong measurability means being an almost-everywhere pointwise norm limit of measurable simple Banach-valued functions. Strongly measurable Banach-valued function

[F4]

The nonnegative integral is the supremum over nonnegative simple minorants; the admissible set contains the zero function. The nonnegative Lebesgue integral

[F5]

Every nonnegative measurable function is an increasing pointwise limit of nonnegative simple measurable functions. Every nonnegative measurable function is the increasing limit of simple measurable functions

[F6]

For a nondecreasing sequence of nonnegative measurable functions, the integrals increase to the integral of the pointwise limit. Monotone convergence for the integral

[F8]

Under countable choice, every Cauchy sequence in scalar L2(D,λ;R) converges in its quotient norm; AC suffices for the theorem's countable-choice hypothesis, which is used there to select countably many measurable representatives. Riesz-Fischer completeness of Lp for 1≤p≤∞ The Axiom of Choice

Proof

Given: The hypotheses and notation of the Statement.

1.1A1F1F3F8givenalgebra

A real Banach space means a real normed linear space complete in its norm metric. This is the codomain condition in [F3] for the phrase “strongly measurable.” Write each v∈H in its d scalar coordinate classes v(r)∈L2(D,λ;R); the Definition gives the isometric finite direct-sum norm ∥v∥H2=∑r=1d∥v(r)∥22. If (vn) is Cauchy in this norm, meaning that for each ε>0 there is N such that ∥vn−vq∥H<ε for all n,q≥N, then each coordinate sequence is Cauchy because ∥vn(r)−vq(r)∥2≤∥vn−vq∥H. By [F8], each coordinate sequence converges to a class v(r)∈L2(D,λ;R). The finite tuple v=(v(1),…,v(d)) belongs to H, and the finite sum of squared coordinate errors tends to zero, so vn→v in H. Hence H is complete and normed, so it is a real Banach space and [F3] applies.

1.2F1F3F7givenconstructalgebra

Put Cϕ=(∑j=1m∥ϕj∥H2)1/2. For a,b∈Rm, the triangle inequality and [F7] give ∥T(a)−T(b)∥H≤∑j=1m∣aj−bj∣∥ϕj∥H≤Cϕ∣a−b∣. Thus T is continuous and U=T∘A is Borel measurable. For each n≥1, truncate every coordinate of A to [−n,n] and round it down to a multiple of 2−n, obtaining a finite-valued measurable map An:Ω→Rm with An→A pointwise. The maps T∘An are measurable simple H-valued functions and converge pointwise in norm to U by continuity of T. Hence U is strongly measurable by [F3].

2.1F1F2F4F5F6step 1.2givenalgebra∎

For Borel sets B⊆H, the preimage map preserves complements and countable disjoint unions, and U−1(H)=Ω. Therefore μ(B)=P(U−1(B)) is countably additive with μ(H)=1 by [F2]. For any nonnegative Borel function g:H→[0,∞], choose nonnegative simple functions sn↑g as provided by [F5]. The identity ∫Hsn dμ=EP[sn(U)] follows by writing each simple integral as a finite sum over its level sets and using the definition of μ. Apply [F6] to both sides and pass to the increasing limits to obtain ∫Hg dμ=EP[g(U)]. Apply this identity to the continuous function g(v)=∥v∥H2. The bound in step 1.2 with b=0 gives ∥U∥H2≤Cϕ2∣A∣2, so EP∥U∥H2≤Cϕ2EP∣A∣2<∞. This proves the stated moment identity and bound, and hence that μ is a finite-second-moment law of the Definition.

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