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 almost-sure convergence event is measurable
Statement
For real random variables and on one probability space, the set is an event.
Facts & Assumptions
Given: Real random variables and on a probability space.
Real convergence may be tested with positive rational tolerances.
Proof
By [L1], the convergence set has the following countable description. [L1]
Each set in the display is measurable because is a real random. [step 1.1] variable; countable unions and intersections preserve measurability. Thus the displayed set, and hence the convergence event, is measurable.
Depends on
Used by
- Almost-sure convergence implies convergence in probability Theorem
- An almost-surely convergent subsequence from convergence in probability Theorem
Cited to discharge well-definedness by Almost-sure convergence of real random variables.
Dependency tree · two levels
4 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
- S. Roch, Lecture 3: Modes of convergence, Definition 3.1 (standard reference, not scraped)