Alphabeta Math
TheoremStatement: Literature-sourcedProof: AI-generatedprecheck passjudge pass (gpt-5.6-terra)audited 2026-08-31
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 signed or complex measure that is both absolutely continuous and singular with respect to the same positive measure is zero

Statement

Let μ be a positive measure and let ν be a signed measure or a complex measure on the same measurable space. If ν≪μ and ν⊥μ, then ν=0.

Facts & Assumptions

Given: A positive measure μ and a signed or complex measure ν with ν≪μ and ν⊥μ.

[L1]

Mutual singularity provides measurable sets P,N with P⊔N=X, every measurable subset of N having μ-value 0, and every measurable subset of P having ν-value 0. (Mutual singularity for signed or complex measures)

[L2]

Absolute continuity means that every measurable μ-null set has ν-value 0. (Absolute continuity of a signed or complex measure with respect to a positive measure)

Proof

technique · direct
1.1L1choose

Choose measurable sets P,N as in [L1]. Then every measurable subset of P has ν-value 0.

1.2L1L2given

Let A∈A. Because A∩N⊆N, [L1] gives μ(A∩N)=0, so [L2] yields ν(A∩N)=0; because A∩P⊆P, [L1] also gives ν(A∩P)=0.

2.1step 1.1step 1.2algebra∎

The partition A=(A∩P)⊔(A∩N) therefore gives ν(A)=0. Since A was arbitrary, ν=0.

Depends on

Used by

Dependency tree · two levels

6 results within two dependency steps of this one, each drawn at its shortest distance from it. An arrow runs from a result to what uses it, so the chart reads left to right and ends at this result, which carries a heavier outline. Every node is a link to that result. Click elsewhere on the chart to enlarge it.

Sources