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LemmaStatement: Literature-sourcedProof: AI-adaptedPipeline-generatedjudge pass (gpt-6-luna)verified 2026-10-22 (gpt-6.1-sol)
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Compactly supported BV cutoffs for finite-variation L² functions

Statement

Assume Countable Choice. If u∈L2(R2;R) and TV2(u;R2)<∞, there exist smooth cutoffs χk with 0≤χk≤1, χk=1 on B(0,k), support in B(0,2k), and sup⁡k≥1k∥∇χk∥∞<∞. For every family satisfying these four conditions, vk:=χku belongs to BV(R2)∩L1(R2), has support in B(0,2k), converges to u in L2(R2), and lim sup⁡k→∞TV(vk;R2)≤TV2(u;R2).

Facts & Assumptions

Given: Countable Choice and u∈L2(R2;R) with finite TV2(u;R2).

[A1]

Countable Choice is the axiom used to obtain the finite Radon derivative from the test-field bound. (The Axiom of Countable Choice (ACω))

[F1]

Distributional TV as an extended functional on L² and Finite L² distributional variation has a finite Radon derivative: Du is a finite vector Radon measure and ∣Du∣(R2)=TV2(u;R2).

[F2]

A smooth bump between concentric Euclidean balls: a smooth cutoff exists that equals one on the unit ball and is supported in the ball of radius two; rescaling by R bounds its gradient by a fixed constant times R−1.

Proof

1.1A1F2givenchooseconstruct

By [F2], choose χ∈Cc∞(R2) with 0≤χ≤1, χ=1 on B(0,1), supp⁡χ⊂B(0,2), and let χR(x)=χ(x/R) for integers R≥1. This proves existence of a family with sup⁡RR∥∇χR∥∞<∞. Now fix any family satisfying all four conditions in the statement, write C=sup⁡RR∥∇χR∥∞, and put vR=χRu. Then vR∈L2 has compact support, hence is in L1, and vR→u in L2 because χR=1 on B(0,R) and u∈L2.

2.1A1F1step 1.1algebra∎

For every scalar ψ∈Cc∞(R2), local integrability of u and the definition of distributional derivative give −∫χRu ∂iψ=−∫u ∂i(χRψ)+∫uψ ∂iχR=∫χRψ dDiu+∫uψ ∂iχR. Thus DvR=χRDu+u∇χR dx. The variation of the first term is at most ∣Du∣(R2), and the second has variation at most CR∫B(0,2R)∖B(0,R)∣u∣ dx≤C′∥u∥L2(R2∖B(0,R)), by Cauchy–Schwarz and the annulus area bound ∣B(0,2R)∖B(0,R)∣1/2≤C′′R. This error tends to zero. Since vR∈L1 and its derivative is a finite vector Radon measure, vR∈BV(R2), and [F1] yields lim sup⁡RTV(vR;R2)≤∣Du∣(R2)=TV2(u;R2). The estimate applies to the arbitrary controlled family fixed in step 1.1 and proves the statement.

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