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.
Nested uniform scrambling of a finite point set
Definition
Fix a base and points . Write each coordinate in its terminating base- expansion when it has two expansions, and otherwise in its unique expansion: Enumerate the countable pairs by increasing word length, then coordinate, then lexicographic word order. For every such pair use a uniform random permutation of , mutually independent over all pairs; A single uniform variable supplies countably many independent base- digits supplies this array. Define The same permutations are used for all points in a coordinate; different coordinates use independent permutation families. The resulting random point array is the nested uniform scramble of the input array. Null events on which an output expansion is eventually all do not alter its law; choose the usual half-open representative there.
Depends on
Used by
- Digital shift randomization in base b Definition
- A digital shift and a nested scramble give different error laws Example
- A skewed finite-replicate law defeats a nominal Student interval Example
- One scrambled rule versus independent full-set replicates Example
- ANOVA variance identity for nestedly scrambled point sets Lemma
- Nested uniform scrambles preserve net counts and uniform marginals Lemma
- Pair-count formula for scrambled-net gain coefficients Lemma
Dependency tree · two levels
10 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
- Art B. Owen, Monte Carlo Book: The Quasi-Monte Carlo Parts, Chapter 17 §17.5 (standard reference, not scraped)
- Pierre L’Ecuyer and Christiane Lemieux, Recent Advances in Randomized Quasi-Monte Carlo Methods, §5.3 (standard reference, not scraped)