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TheoremStatement: AI-adaptedProof: AI-adaptedPipeline-generatedjudge pass (gpt-5.6-terra)audited 2026-09-14
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Fourier transform of a compactly supported distribution is a smooth polynomially bounded multiplier

Statement

Assume Countable Choice. Let v∈D′(Rn) have compact support, let v~∈S′ be its canonical extension, and let χ∈D equal one on a neighborhood of supp⁡v. Then Fv~ is the regular tempered distribution represented by

V(ξ)=⟨vx,χ(x)e−2πix⋅ξ⟩.

The function V is independent of χ, is smooth, and for every multi-index α there are Cα,mα with ∣∂αV(ξ)∣≤Cα(1+∣ξ∣)mα. Consequently multiplication by V is continuous on S and, by transpose, on S′ in both dual topologies.

Facts & Assumptions

Given: Countable Choice, a compactly supported distribution v, and a cutoff χ as in the statement.

[F1]

The extension v~ is tempered and its pairing with a smooth function is computed using any cutoff equal to one near the support (Compactly supported distributions are tempered, Compactly supported distributions extend to smooth functions).

[F2]

Compactly supported distribution pairings with smooth parameter families differentiate in the parameter (Distribution pairing with smooth parameter families).

[F3]

The Fourier transform is defined by bilinear transposition (Fourier transform of a tempered distribution), and the local Schwartz integral lemma permits a seminorm-dominated integral to cross a tempered pairing (Schwartz parameter pairing and integral interchange).

[F4]

A smooth function whose derivatives grow polynomially is a continuous Schwartz multiplier, as is its transpose (Smooth polynomially bounded multipliers on schwartz space).

Proof

technique · compact finite-order estimate and pairing interchange
1.1F1

If χ1 and χ2 are both one near supp⁡v, then (χ1−χ2)e−2πix⋅ξ vanishes near that support, so [F1] makes its pairing with v zero. Thus V is cutoff-independent.

1.2F2

Apply smooth parameter differentiation from [F2].

∂ξαV(ξ)=⟨vx,χ(x)(−2πix)αe−2πix⋅ξ⟩.

On one fixed compact containing supp⁡χ, the finite-order estimate for v differentiates the displayed test in x only finitely many times. Each resulting term is bounded by a constant times (1+∣ξ∣)m. Hence V is smooth and every derivative has the claimed polynomial bound. [F1, F2, algebra]

1.3F3

Let φ∈S and set H(ξ,x)=χ(x)e−2πix⋅ξφ(ξ). As an x-Schwartz family, H(ξ,⋅) is continuous in ξ, and every x-Schwartz seminorm has an integrable majorant C(1+∣ξ∣)q∣φ(ξ)∣. Thus [F3] applies.

⟨Fv~,φ⟩=⟨v~,Fφ⟩=∫⟨vx,χ(x)e−2πix⋅ξ⟩φ(ξ) dξ=∫V(ξ)φ(ξ) dξ.

[F1, F3]

2.1F4step 1.2step 1.3∎

Equality in step 1.3 identifies Fv~ with the regular distribution uV. The derivative bounds from step 1.2 satisfy [F4], which proves both multiplier assertions. For v=0, V=0; empty support causes no exception. Countable Choice enters only through the published Fourier and Lebesgue-interchange clauses.

Depends on

Dependency tree · 2 levels

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