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 version can fail a pointwise identity on a null set
Statement refuted
The assertion “every version of equals zero at every sample point” is false, under the usual AC conditional-class convention.
Facts & Assumptions
Given: The universal pointwise claim in Statement refuted; a witness will be constructed on two atoms.
A real measurable integrable function with the required event integrals is a version of the class. (Conditional expectation as an ae class)
Counterexample
Let , and . This is a probability measure: P(Omega)=1, P(empty)=0, and in a disjoint sequence at most one event contains b, so countable additivity holds. Take . It is F-measurable and .
For every A subset Omega, . Thus [F1] makes T a version of the conditional expectation of zero. But T(a)=1, so the claimed pointwise identity fails at a. The discrepancy set {a} has probability zero, consistent with almost-sure uniqueness.
Source notes
Durrett §4.1 uniqueness/version discussion, printed p.206; van der Vaart warning after Lemma 1.10, printed p.4. The two-atom witness is locally constructed.
Depends on
Used by
Nothing in the library uses this result yet.
Dependency tree · two levels
8 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
- Durrett, Probability: Theory and Examples, 5th ed. (standard reference, not scraped)