Alphabeta Math
TheoremStatement: AI-adaptedProof: AI-adaptedPipeline-generatedjudge pass (gpt-5.6-terra)audited 2026-09-13
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The first chip identifies the source of the statement or construction; the second identifies the source of its local proof or verification.

  • Literature-sourced: the exact statement appears in a cited source; only wording and notation differ.
  • AI-adapted: a semantically identical restatement of literature-sourced material, modulo indexing, notation, and boundary cases adopted by the library.
  • AI-generated: a genuinely novel statement formulated by AI, with no source for the claim itself.

These labels describe origin, not correctness: citations and verification chips remain separate evidence.

Convolution with a test function is smooth

Statement

Let uD(Ω) and φD(Rn). On the open safe domain V={x:xsuppφΩ}, the convolution uφ is smooth and α(uφ)=(αu)φ=u(αφ). The last expression is restricted to V if its own safe domain is larger. For Ω=Rn the domain is all of Rn. This holds in ZF.

Facts & Assumptions

[F1]

The convolution is uφ(x)=u(φ(x)) on its open safe domain (Convolution of a distribution with a test function).

[F2]

A smooth parameter family with locally common compact test support pairs smoothly with a distribution, and parameter derivatives pass through the pairing (Distribution pairing with smooth parameter families).

[F3]

Distribution derivatives act by signed test differentiation (Distributional derivative).

Proof

Given: u,φ,V as in the statement.

1.1

Put S=suppφ. For compact HV, all y-supports of F(x,y)=φ(xy), xH, lie in HS. This is compact as the continuous image of the compact product H×S, and it lies in Ω by the definition of V. The function F is jointly smooth, so F2 gives smoothness of uφ and xα(uφ)(x)=u((αφ)(x)).

givenF1F2
2.1

Differentiating the reflected test in y gives yαφ(xy)=(1)α(αφ)(xy). F3 therefore gives (αu)φ(x)=(1)αu(yαφ(x))=u((αφ)(x)), since the two signs multiply to one. Together with step 1.1 this proves both equalities.

step 1.1F1F3algebra
3.1

The support of αφ is contained in S, so its safe domain contains V, justifying the stated restriction. If φ=0, the safe domain is all of Rn and each expression is zero. If V is empty the smoothness and equalities are vacuous on that open set; α=0 gives the defining convolution identity. No choice is used.

step 2.1F1

Depends on

Used by

Dependency tree · two levels

13 results within two dependency steps of this one, each drawn at its shortest distance from it. An arrow runs from a result to what uses it, so the chart reads left to right and ends at this result, which carries a heavier outline. Every node is a link to that result. Click elsewhere on the chart to enlarge it.

Sources