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.
Lyapunov condition for nonidentical summands
Example
Assume AC. Take independent symmetric signs , , and set . With , the Lyapunov condition holds for , and . In every row of length at least two the summand laws are distinct.
Facts & Assumptions
The normalized third-moment condition implies the CLT with delta=1. Lyapunov central limit theorem.
Under DC and countable choice independent copies of a two-point law exist. Countably many independent copies of a prescribed law exist.
AC supplies those choice principles. AC supplies countable selections and prescribed serial paths.
Verification
Given: Assume AC. Take independent symmetric signs , , and set . With , the Lyapunov condition holds for , and . In every row of length at least two the summand laws are distinct.
Use [F2]–[F3] on the law assigning mass 1/2 to each sign, and index its coordinates by for . These indices are distinct across the array and exhaust the positive integers. Thus the required signs exist and are independent. Direct two-point integration gives , and . Different k have disjoint supports , so their laws differ.
At least n/2 integers k in the row satisfy , so . Also . Hence . These bounds remain valid for n=1. The rows are centered, independent and have finite moments and positive s_n, so [F1] with delta=1 proves the assertion. AC is used by the copy construction and inherited in [F1].
Depends on
Used by
Nothing in the library uses this result yet.
Dependency tree · two levels
23 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, exercises after Theorem 3.4.10 (standard reference, not scraped)
- Aldous and Chewi, Probability Theory notes, Corollary 6.2 (standard reference, not scraped)