Alphabeta Math
ExampleConstruction: AI-generatedVerification: AI-generatedPipeline-generatedverified 2026-09-26 (gpt-6-sol)
How statement and proof provenance work

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.

Distributional harmonicity removes an apparent interior corner

Example

Let n≥1 and define v:Rn→R by v(x)=∣x1∣. This apparent corner is not distributionally harmonic on Rn; indeed Δv=2δ{x1=0}, where δ{x1=0}(ϕ)=∫Rn−1ϕ(0,x′) dx′ (the evaluation ϕ(0) when n=1). In particular, ∣x1∣ is not distributionally harmonic on any open set meeting the hyperplane {x1=0}.

Verification

Given: n≥1, the domain Rn, and the distributional derivative convention Distributional harmonicity and Poisson's equation on an open subset of Rn.

1.1givenalgebra

In one variable, split the compactly supported test integral at 0 and integrate by parts twice. The ordinary second derivative vanishes on both half-lines, and the jump of the first derivative from −1 to 1 contributes 2ϕ(0), so (∣t∣)′′=2δ0. Applying this calculation at each fixed x′ and integrating over the remaining variables gives Δv(ϕ)=2∫Rn−1ϕ(0,x′) dx′; derivatives in the other coordinates vanish.

2.1step 1.1∎

On any open set meeting the hyperplane, choose a nonnegative smooth test function supported near a meeting point and positive there. Its hyperplane integral is positive, so step 1.1 makes Δv nonzero on that open set. Thus the corner fails the distributional harmonicity test there.

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