Alphabeta Math
ExampleConstruction: Literature-sourcedVerification: AI-adaptedPipeline-generatedjudge pass (gpt-5.6-terra)
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.

Gaussian Poisson summation and theta inversion

Statement

Assume countable choice. For real t>0, define θ(t)=kZeπtk2. Then θ(t)=t1/2θ(1/t).

Facts & Assumptions

[F1]

Polynomial Gaussians with positive parameter are Schwartz (Polynomial Gaussians are Schwartz).

[F2]

The normalized Gaussian transform is F(eπtx2)(ξ)=t1/2eπξ2/t (Euclidean Gaussian transform with the 2π normalization).

[F3]

Poisson summation applies to Schwartz functions, with both lattice sums absolutely convergent (Poisson summation for Schwartz functions).

Verification

1.1

The series defining θ(t) converges: for k1, eπtk2eπtk and 0<eπt<1, so its positive and negative tails are bounded by geometric series; the zero term is one. The same proof applies to 1/t>0. By [F1], gt(x)=eπtx2 is Schwartz, and [F2] gives its transform with factor t1/2.

F1F2givenalgebra
2.1

Apply [F3] at x=0 to gt: kgt(k)=kg^t(k)=t1/2keπk2/t. By step 1.1 these are the two absolutely convergent theta series, proving the identity. At t=1 both sides agree termwise. The parameter is only real and positive; this example makes no complex modular-form assertion.

step 1.1F3

Depends on

Used by

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Dependency tree · two levels

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Sources