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.
The Brownian zero set
Definition
Assume the Axiom of Choice and let be a standard Brownian motion. Replace , as permitted by Brownian motion has a jointly measurable continuous version, by the indistinguishable version whose every path is continuous and whose evaluation is jointly measurable. The Brownian zero set is and for a horizon one writes .
The following are part of the definition and are used later in this form.
- Pathwise closedness. For every outcome the set is closed in and nonempty: it is the preimage of the closed set under the continuous path, and for every outcome. Hence is compact for every .
- Version independence. Replacing by the original changes only on a -null set: and are indistinguishable. Every almost-sure assertion about proved below is therefore an almost-sure assertion about the zero set of , and no statement below quantifies over versions.
- Measurability of the section integrals. Joint measurability makes measurable for , so for each the section integral is a measurable function of , and the Tonelli identity for the product measure applies to it.
- Endpoint conventions. The point belongs to for every outcome, the singleton has Lebesgue measure zero, and a horizon may be replaced by any larger horizon since for .
No further structure is assigned: in particular is not asserted to be perfect, uncountable or of measure zero by this definition; those are statements proved separately on this page.
Depends on
Used by
Dependency tree · two levels
7 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
- Perla Sousi, Advanced Probability, Theorem 6.39 (standard reference, not scraped)
- Rick Durrett, Probability: Theory and Examples, fifth edition, Section 7.4.1 (standard reference, not scraped)