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.
Digital shift randomization in base
Definition
Fix an integer , a dimension , and points . Write each coordinate in its terminating base- expansion when it has two expansions, and otherwise in its unique expansion, . Fix a bijection . From the independent uniform permutations supplied by A single uniform variable supplies countably many independent base- digits, set . These are mutually independent uniform digits in . A digital shift applies the same digit shifts to every point: The value is the half-open representative when the digit series equals , so the output always lies in . For each fixed input point and coordinate this exceptional event is null, since it requires every shifted digit to be . The shift is global per coordinate and digit: when , the first shifted digits of any two points in one coordinate differ by their fixed input-digit difference modulo , so the point variables are dependent. This operation differs from the prefix-dependent permutations in Nested uniform scrambling of a finite point set.
Depends on
Used by
Dependency tree · two levels
11 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 §17.6 (standard reference, not scraped)
- Pierre L’Ecuyer and Christiane Lemieux, Recent Advances in Randomized Quasi-Monte Carlo Methods, §5.2 (standard reference, not scraped)