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LemmaStatement: AI-adaptedProof: AI-adaptedPipeline-generatedjudge pass (gpt-5.6-terra)audited 2026-09-12
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Product rectangle kernels are dense in complex l two

Statement

Assume AC. On the completed product of two finite measure spaces, finite complex linear combinations of rectangle indicators 1E(x)1F(y) are dense in complex L2. Consequently a kernel pairing to zero against every rectangle indicator is the zero L2 class.

Facts & Assumptions

[F1]

Finite disjoint rectangle unions form an algebra generating the product sigma-algebra Finite disjoint unions of measurable rectangles form an algebra generating the product sigma-algebra.

[F2]

In a finite measure space, every measurable set is approximable in symmetric difference by a generating algebra Approximation in symmetric difference by a generating algebra.

[F3]

Complex finite simple functions are dense in finite-exponent Lp Complex finite-simple and smooth compact-support density for finite p.

[F4]

Under countable choice every completion-measurable real function has a base-measurable a.e. representative A function measurable for a completion is almost everywhere equal to one measurable for the original sigma-algebra.

[F5]

The complex pairing satisfies Cauchy–Schwarz and induces the L2 norm The complex L2 pairing is well-defined and satisfies Cauchy–Schwarz.

[F6]

AC supplies countable choice The Axiom of Choice.

Proof

Given: Finite measure spaces (X,A,μ) and (Y,B,ν), a complex kernel k in their completed product L2, and ε>0.

1.1F4F6

Apply the representative theorem separately to the real and imaginary parts of k. The resulting base-measurable functions equal those components a.e.; their sets of infinite values are base-measurable and null. Replacing their infinite values by zero and combining them gives a finite complex product-measurable representative k0 of k. Its norm is unchanged. AC supplies the countable choice required in this step.

2.1F3step 1.1

The uncompleted product has finite mass μ(X)ν(Y). On it choose a finite simple function s=∑j=1mcj1Ej with ∥k0−s∥2<ε/2. Terms with zero coefficient may be removed. If no terms remain, the zero rectangle combination already approximates k within ε.

3.1F1F2F5step 2.1

Otherwise put B=∑j=1m∣cj∣>0 and δ=(ε/(2B))2. By the generating-algebra approximation choose, for each of these finitely many j, a finite disjoint rectangle union Rj with (μ⊗ν)(Ej△Rj)<δ. Since ∥1Ej−1Rj∥2 is the square root of that measure, the triangle inequality gives ∥s−∑jcj1Rj∥2<Bδ=ε/2. Each 1Rj is a finite sum of disjoint rectangle indicators. Combined with step 2.1 this proves density, on the completion as well because the norms of base-measurable functions agree with their completed norms.

4.1F5step 3.1∎

If ⟨k,1E×F⟩=0 for every rectangle, conjugate-linearity gives ⟨k,R⟩=0 for every finite complex rectangle combination R. For each ε>0 choose such R with ∥k−R∥2<ε by step 3.1. Then ∥k∥22=∣⟨k,k−R⟩∣≤∥k∥2ε. If ∥k∥2>0, division and arbitrarily small ε give a contradiction; thus k=0. When either factor has zero total measure, every class is zero and all assertions hold with R=0. No exchange of a universal test-function quantifier with an a.e. section quantifier is used.

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Sources