Alphabeta Math
LemmaStatement: AI-adaptedProof: AI-adaptedPipeline-generatedjudge pass (gpt-5.6-terra)audited 2026-09-12
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.

Characteristic functions under affine maps and independent sums

Statement

For real a,b,t, φaX+b(t)=eitbφX(at). For a finite mutually independent family (Xj)j=1n of real random variables, φ∑jXj(t)=∏jφXj(t). The empty sum has characteristic function one.

Facts & Assumptions

Given: The hypotheses and conventions in the statement.

[F1]

The characteristic function is the expectation of the exponential. Characteristic function of a real random variable.

[F3]

Real integrable Borel coordinate functions factor over independent variables. Expectations factor over finite products of independent random variables.

[F4]

Finite complex linear combinations commute with integration. The Lebesgue integral is linear on L1(μ).

Proof

technique · direct
1.1F1F2F4

The addition law gives eit(aX+b)=eitbei(at)X. Both random exponentials are bounded and integrable. Pulling out the constant eitb gives the affine identity, including a=0 and b=0.

1.2F1F2F3F4

For n≥1 put cj=cos⁡(tXj) and sj=sin⁡(tXj). Expand eit∑jXj=∏j(cj+isj)=∑A⊆{1,…,n}i∣A∣∏j∈Asj∏j∉Acj. Each real factor is a bounded Borel function of its own coordinate, so the real factorization theorem applies to each of these finitely many products. Complex linearity then gives Eeit∑jXj=∑Ai∣A∣∏j∈AEsj∏j∉AEcj=∏j(Ecj+iEsj)=∏jφXj(t).

2.1F1∎

For n=0 the sum is zero, its exponential is one, and the empty product is one. For n=1 the asserted identity is the defining expectation itself.

Depends on

Dependency tree · 2 levels

Sources