Alphabeta Math
TheoremStatement: AI-adaptedProof: AI-adaptedPipeline-generatedjudge pass (gpt-5.6-terra)audited 2026-09-14
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Fourier differentiation and multiplication identities on tempered distributions

Statement

Assume Countable Choice. For u∈S′(Rn) and every multi-index α,

F(∂αu)=(2πiξ)αFu,F(xαu)=(−12πi)∣α∣∂ξαFu.

Every operation and equality is in S′(Rn).

Facts & Assumptions

Given: Countable Choice, u∈S′(Rn), and a multi-index α.

[F1]

Derivatives and polynomial products on S′ use the bilinear transpose conventions (Differentiation and polynomial multiplication preserve tempered distributions).

[F2]

The distributional Fourier transform is the bilinear transpose of the Schwartz transform (Fourier transform of a tempered distribution).

[F3]

On Schwartz tests, F(∂jφ)=2πiξjFφ and ∂jFφ=F(−2πixjφ) (Fourier transform acts continuously on Schwartz space), and all test operations involved are continuous (Basic operations are continuous on Schwartz space).

Proof

technique · first-order test calculation and iteration
1.1F1F2F3

Fix a coordinate j and a Schwartz test φ; transposition gives the following calculation.

⟨F(∂ju),φ⟩=−⟨u,∂j(Fφ)⟩=2πi⟨u,F(ξjφ)⟩=⟨2πiξjFu,φ⟩.

The first minus sign is the distributional derivative sign; the second identity is the second formula in [F3]. [F1, F2, F3]

1.2F1F2F3

The first formula in [F3] gives xjFφ=(2πi)−1F(∂jφ), so transposition yields the second calculation.

⟨F(xju),φ⟩=12πi⟨Fu,∂jφ⟩=−12πi⟨∂jFu,φ⟩.

[F1, F2, F3]

2.1step 1.1step 1.2∎

Coordinate derivatives and coordinate multipliers commute among themselves in the relevant families. Iterating steps 1.1 and 1.2 ∣α∣ times therefore gives the two multi-index identities. For α=0 both reduce to Fu=Fu. Countable Choice is used only through the published Schwartz Fourier identity.

Depends on

Dependency tree · 2 levels

Sources