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.
Certified bracketed bisection for a continuous CDF
Definition
Input a continuous nondecreasing CDF on a finite interval with , a target , tolerance , a nonnegative integer , and a verified modulus certificate An exact real-comparison oracle for and a budget of at least evaluations are also inputs. First evaluate and store and , counting both against the budget; an evaluation failure returns inconclusive. If , return status tail-unresolved. Otherwise set and . Repeat times: set ; if , replace by , and otherwise replace by . If an evaluation or the budget fails, return inconclusive. Return and the certificate and .
A caller that cannot supply a certified , the required budget, or exact comparison returns inconclusive. The procedure resolves the central bracket only; any tails outside require a separately specified branch or sampler.
Remarks
This is a real-arithmetic reference procedure. Endpoint queries and each midpoint query are counted against the input evaluation budget, with tail and precision failures explicit. It does not identify CDF residual with spatial error unless an additional positive lower density bound is supplied.
Used by
Dependency tree · 0 levels
Nothing. This result depends on no other item in the library.
Sources
- Luc Devroye, Non-Uniform Random Variate Generation, Chapter II §2.2, Inversion by numerical solution (standard reference, not scraped)
- D. Pollard, A User's Guide to Measure Theoretic Probability, generalized inverse discussion (standard reference, not scraped)