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LemmaStatement: AI-adaptedProof: AI-adaptedPipeline-generatedprecheck pendingverified 2026-10-23 (gpt-6.1-sol)
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Quadratic velocity tensors are Bochner integrable

Statement

Assume the Axiom of Countable Choice. Let (D,D,λ) and H=L2(D,λ;Rd) be as in the Definition, and let K:=L1(D,λ;Rd×d) use the Frobenius norm on matrices. For v,w∈H, the pointwise tensor (v⊗w)ij(x):=vi(x)wj(x) defines an element of K, independent of the representatives, and ∥v⊗w∥K≤∥v∥H∥w∥H. For any probability space (Ω,F,P) and strongly measurable U:Ω→H with E∥U∥H2<∞, both U and U⊗U are strongly measurable Bochner-integrable maps into H and K, respectively, and E∥U⊗U∥K=E∥U∥H2<∞.

Facts & Assumptions

Given: The finite measure space and H from the Definition; Countable Choice; a probability space (Ω,F,P); and a strongly measurable H-valued map U with E∥U∥H2<∞.

[A1]

Countable Choice, ACω, selects from a countable family of nonempty sets (The Axiom of Countable Choice (ACω)).

[F1]

Elements of H are almost-everywhere equivalence classes of measurable functions (The space Lp(μ) as the quotient by null functions).

[F2]

Strong measurability supplies measurable simple maps converging in norm outside a measurable null set (Strongly measurable Banach-valued function).

[F3]

Holder's inequality bounds the integral of a product of two L2 functions by the product of their L2 norms (Holder's inequality for integrals, including the endpoint cases).

[F4]

Under ACω, scalar Lp is complete for p=1,2 (Riesz-Fischer completeness of Lp for 1≤p≤∞).

[F5]

A strongly measurable Banach-valued map is Bochner integrable when its norm has finite integral (Bochner integrability criterion).

Proof

Given: The data and hypotheses in the Statement.

1.1A1F1F4constructalgebra

By [A1] and [F4], scalar L2(D,λ) and L1(D,λ) are complete. The H norm is the finite ℓ2 product of the component L2 norms. For a matrix field A, ∥A∥K=∫D∣A∣F dλ, and ∥A∥K≤∑i,j∥Aij∥1≤d∥A∥K. Thus a Cauchy sequence in either H or K is Cauchy in each scalar component; the component limits exist by [F4], and the displayed norm formulas show convergence to their assembled vector or matrix field. Hence H and K are Banach spaces under [A1].

1.2F1F3givenalgebra

For representatives v,w, the Frobenius norm satisfies ∣v(x)⊗w(x)∣F=∣v(x)∣ ∣w(x)∣. Holder's inequality [F3] therefore gives ∥v⊗w∥K=∫D∣v∣ ∣w∣ dλ≤∥v∥H∥w∥H<∞. Changing either representative on a null set changes the product only on a null set [F1], so the tensor is well-defined as a K-class. The same estimate applied to differences proves continuity of the bilinear tensor map.

2.1F2step 1.2constructalgebra

By [F2], choose simple H-valued maps Un with Un(ω)→U(ω) in H outside a measurable null set. Each Un⊗Un is a finite-valued measurable K-valued simple map. Step 1.2 gives ∥Un⊗Un−U⊗U∥K≤∥Un−U∥H(∥Un∥H+∥U∥H)⟶0 outside that null set, since norm convergence makes (∥Un∥H) bounded there. Hence U⊗U is strongly measurable.

3.1A1F3F5step 2.1givenalgebra∎

Holder's inequality on the probability space gives E∥U∥H≤(E∥U∥H2)1/2<∞. Together with the given strong measurability, [F5] makes U Bochner integrable. The identity ∣v⊗v∣F=∣v∣2 gives ∥U(ω)⊗U(ω)∥K=∥U(ω)∥H2 for almost every ω, so its norm is integrable as well; [F5] and step 2.1 make U⊗U Bochner integrable and yield the displayed norm identity.

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