Alphabeta Math
DefinitionDefinition: Literature-sourcedProof: Not applicablePipeline-generatedjudge pass (gpt-6-luna)
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.

A dominated differentiable-in-quadratic-mean submodel

Definition

Let M be a model of probability measures on a measurable space (X,A), let ϵ>0, and let t↦Pt∈M be a path for 0≤t<ϵ with P0=P. It is dominated by a common measure when one supplied sigma-finite positive measure μ satisfies Pt≪μ for every t (Dominated statistical experiments). Write pt=dPt/dμ and p=p0 for simultaneously supplied nonnegative density versions; the existence and normalization of each density are the Radon–Nikodym properties in Likelihood densities and A sigma-finite signed measure that is absolutely continuous with respect to a sigma-finite positive measure has a unique almost-everywhere density. The Axiom of Choice is the library convention for selecting such a family of versions along a path (The Axiom of Choice). The DQM property below is unchanged by replacing any pt by another version, since each L2(μ) norm is unchanged by a μ-null modification.

The path is differentiable in quadratic mean at 0, with score s∈L2(P), when

∥pt−p−t2sp∥L2(μ)=o(t)(t↓0).

Here o(t) means that the displayed norm divided by t tends to 0 as t↓0; L2(P) and L2(μ) are quotient spaces modulo almost-everywhere equality (The space Lp(μ) as the quotient by null functions). The definition is directional. A two-sided regular submodel qualifies by restricting it to t≥0. No mean-zero condition is assumed in this definition.

Depends on

Used by

Dependency tree · two levels

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Sources