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 , . For a finite mutually independent family of real random variables, . The empty sum has characteristic function one.
Facts & Assumptions
Given: The hypotheses and conventions in the statement.
The characteristic function is the expectation of the exponential. Characteristic function of a real random variable.
The exponential of a sum is a product. , and the complex exponential extends the real exponential.
Real integrable Borel coordinate functions factor over independent variables. Expectations factor over finite products of independent random variables.
Finite complex linear combinations commute with integration. The Lebesgue integral is linear on .
Proof
The addition law gives . Both random exponentials are bounded and integrable. Pulling out the constant gives the affine identity, including and .
For put and . Expand 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
For the sum is zero, its exponential is one, and the empty product is one. For the asserted identity is the defining expectation itself.