Alphabeta Math
False statementConstruction: AI-adaptedVerification: AI-generatedSession-authored (Fable 5 assisted)precheck passjudge pass (deepseek-v4-pro + gpt-5.6-terra)audited 2026-08-21
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.

FALSE: every subset of a measure-null set is measurable

Statement

False claim. In every measure space, every subset of a measurable null set is measurable. Equivalently, every measure space is complete in the sense of Complete measure spaces.

Facts & Assumptions

Given: The two-point set X={0,1} and the family A={,X}.

[L1]

A measure has value 0 at the empty set and is countably additive on pairwise disjoint measurable sequences (Measures on sigma-algebras).

[L2]

Completeness requires every subset of every measurable null set to belong to the sigma-algebra (Complete measure spaces).

Refutation

technique · direct
1.1

The family A is a sigma-algebra on X, and the set function μ()=μ(X)=0 is a measure: both sides of countable additivity are 0 for every disjoint measurable sequence.

givenL1
1.2

The set X is measurable and μ(X)=0, but {0}X and {0}A.

given
2.1

By step 1.2 the measure space of step 1.1 is not complete, so the claimed universal measurability of subsets of null sets is false.

step 1.1step 1.2L2

Depends on

Used by

Nothing in the library uses this result yet.

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