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.
PP is strict sign testing for Gap-P
Statement
A language lies in if and only if there is a such that
Facts & Assumptions
Given: the and conventions.
A GapP value is the difference between accepting and rejecting path counts, by Sharp-P and Gap-P functions.
PP uses a strict acceptance-probability threshold of , by The classes RP, coRP, ZPP, BPP, and PP.
Proof
Let a PP machine use exactly random bits, padding unused bits if necessary, and let and be its accepting and rejecting choice- string counts. Then is in GapP by [L1], and exactly when , the strict PP condition in [L2].
Conversely write with . Normalize their machines to guess the same -bit string, rejecting invalid encodings, so each has exactly total paths. Construct a machine with one leading choice: on branch run the machine for with its labels unchanged; on branch run the machine for with accept and reject exchanged. It has accepting paths out of , a strict majority exactly when .
Steps 1.1 and 1.2 prove the two implications, including the strict zero boundary.
Depends on
Used by
- MajoritySAT is PP-complete Corollary
- PP is closed under complement Theorem
Dependency tree · one level
1 result within one dependency step 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
- Arora and Barak, Computational Complexity: A Modern Approach (standard reference, not scraped)
- Lance Fortnow, Counting Complexity (standard reference, not scraped)