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.
Standard normal and normal laws
Definition
Assume AC. Define for Borel E in . By The standard normal density has total mass one and The indefinite integral of a nonnegative measurable function is a measure, gamma is a probability measure; denote it . For and , define as the law of on . This affine map is continuous: for >0 choose =/, and for =0 it is constant. Its inverse images of opens are open, so it is Borel measurable. The law of a random element is a probability measure makes its pushforward a probability. When =0, the preimage of E is all of R if m belongs to E and empty otherwise, so in The Dirac set function at a point.
Depends on
The standard normal density has total mass one
The indefinite integral of a nonnegative measurable function is a measure
Probability measures and probability spaces
Law or distribution of a random element
The law of a random element is a probability measure
Continuous functions on Euclidean spaces are Borel measurable
The Dirac set function at a point
The Axiom of Choice