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.
Almost-sure convergence of real random variables
Definition
Let and be real random variables on one probability space. Write almost surely when The convergence in the event is the real convergence of Limits and Cauchy sequences of reals. The set is measurable by The almost-sure convergence event is measurable ↗, so its probability is defined.
Depends on
Used by
- Almost-sure convergence does not imply convergence of expectations Counterexample
- Almost-sure convergence need not imply Lᵖ convergence Counterexample
- Convergence in probability need not be almost sure Counterexample
- Lᵖ convergence need not imply almost-sure convergence Counterexample
- The almost-sure convergence event is measurable Lemma
- Almost-sure convergence implies convergence in probability Theorem
- An almost-surely convergent subsequence from convergence in probability Theorem
- Dominated convergence in Lᵖ Theorem
- Limits in probability are unique almost surely Theorem
Dependency tree · two levels
9 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)