Alphabeta Math
DefinitionDefinition: AI-adaptedProof: Not applicablePipeline-generatedjudge pass (gpt-5.6-terra)audited 2026-09-10
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 γ(E)=∫Ee−x2/2/2π dx for Borel E in R. 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 N(0,1). For m∈R and σ≥0, define N(m,σ2) as the law of x↦m+σx on (R,B,γ). This affine map is continuous: for σ>0 choose δ=ε/σ, and for σ=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 σ=0, the preimage of E is all of R if m belongs to E and empty otherwise, so N(m,0)=δm in The Dirac set function at a point.

Depends on

Dependency tree · 2 levels

Sources