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.
Correctness of phase-sample rational reconstruction
Statement
Let integers , , , and satisfy , and let with and . Let be any nearest grid label to phase in circular distance, meaning . Then Rational reconstruction from a phase sample returns . For every phase label , there is at most one passing candidate with denominator at most .
Facts & Assumptions
Given: Reduced with , for an integer , and a nearest circular grid label .
Circular distance is ; for , a nearest label has distance at most (Circular phase distance modulo one).
The reconstruction routine tests the exact condition on normalized finite-CF convergents with (Rational reconstruction from a phase sample, Denominator-bounded rational phase reconstruction).
For reduced with , a reduced satisfying is a convergent of the normalized finite expansion (Finite-rational Legendre criterion before the terminal convergent).
At most one reduced fraction of denominator at most passes the exact reconstruction window when (Uniqueness of denominator-bounded phase candidates).
Proof
If , reducedness forces . The only nearest circular grid label is , so and its normalized finite expansion is with terminal convergent . This convergent has denominator and passes the exact test, so [F2] and [F4] return .
Suppose . The distance from to either endpoint is at least , by . Therefore a nearest circular label cannot cross an endpoint: if were on the other side of or , the circular distance would be at least the distance of from that endpoint, contradicting [F1]. Thus .
Reduce to with . If , its normalized finite expansion terminates at that fraction; its terminal convergent is , whose denominator is at most , and step 1.2 gives . Thus it passes [F2], and uniqueness [F4] makes the algorithm return it.
If , then is a positive integer, so . Combining with step 1.2 gives , because . Also gives . Applying [F3] with shows it is a convergent of .
The same linear error bound in step 1.2 gives . Therefore this convergent passes the exact test and denominator bound in [F2]. By [F4] it is the unique accepted candidate, so the algorithm returns . The two cases establish correctness and candidate uniqueness.
Depends on
Used by
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
- Peter W. Shor, Polynomial-Time Algorithms for Prime Factorization and Discrete Logarithms on a Quantum Computer (standard reference, not scraped)
- Ronald de Wolf, Quantum Computing: Lecture Notes, arXiv:1907.09415v6 (standard reference, not scraped)