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.
Row-wise independent centered triangular array
Definition
For each integer , let be a finite integer and let be integrable real random variables on a probability space . The family is a centered triangular array when for every admissible pair . It is row-wise independent when, for each fixed n and all Borel sets , Taking unused equal to the real line gives the same factorization for each subfamily; by Independent random elements are characterized by finite rectangle probabilities, this is exactly independence in Independent random elements. Random variables and integrability have the meanings in Random elements and real random variables and Expectation of a nonnegative or integrable random variable. There is no independence requirement between different rows. The spaces may differ with n; assertions about row sums compare their laws. A single-entry row is independent automatically, and deterministic zero entries are allowed. Empty rows are excluded by . This definition makes no existence or choice assumption.
Depends on
Used by
Dependency tree · two levels
13 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, Section 3.4.2 (standard reference, not scraped)
- Billingsley, Probability and Measure, Section 27 (standard reference, not scraped)