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 uniform probability space on a nonempty finite set
Definition
Let be a nonempty finite set. Its uniform probability space assigns every the weight . Thus every event has Nonemptiness is required so that the denominator is positive.
Depends on
Used by
- Identity-corrected random-permutation Monte Carlo p-value Algorithm
- Events with the same probability need not be independent Counterexample
- Expectation equal to 1 does not force a nonnegative integer-valued variable to vanish somewhere Counterexample
- For dependent variables, E[XY] need not equal E[X]E[Y] Counterexample
- Markov's conclusion can fail without nonnegativity Counterexample
- The uncorrected Monte Carlo permutation fraction can be zero and invalid Counterexample
- Uncorrelated finite random variables need not be independent Counterexample
- Unions of overlapping independent events need not remain independent Counterexample
- PCP verifier resources and deterministic proof strings Definition
- Randomized complete-block design Definition
- Randomized Latin-square design Definition
- Two-group logrank and weighted logrank scores Definition
- A full-period LCG can alternate its low bit Example
- A symmetric two-point distribution attains equality in Chebyshev's inequality Example
- Independent events need not be disjoint Example
- The union bound can be strict for overlapping events Example
- Three pairwise-independent events that are not mutually independent Example
- False: linearity of expectation requires independence False statement
- A successive-revelation variance bound for a uniform permutation Lemma
- Mixture coupling for permuted two-sample U-statistics Lemma
- Small total induced-copy expectation forces many homogeneous k-sets Lemma
- The RSK union bound localizes Plancherel profiles Lemma
- Tied upper ranks on a finite multiset Lemma
- Conditional hypergeometric moments for a logrank risk set Theorem
- Every nonempty finite set of n nonzero integers has a sum-free subset of size greater than n/3 Theorem
- Exact finite-group permutation p-values and tests Theorem
- The power-of-two mixed LCG has full period but dependent adjacent states Theorem
- The RSK shape of a uniform random permutation has the Plancherel law Theorem
- Validity of identity-corrected random-permutation Monte Carlo p-values Theorem
Dependency tree · two levels
18 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
- J. Matousek and J. Vondrak, The Probabilistic Method, Section 1.1 (standard reference, not scraped)
- M. Bucic, Probabilistic Method, Example A.2 (standard reference, not scraped)