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.
NumberSAT belongs to Sharp-P
Statement
belongs to .
Facts & Assumptions
Given: an encoded formula with its ordered declared-variable list.
#P counts accepting paths of a binary nondeterministic polynomial-time machine. by Sharp-P and Gap-P functions.
Proof
First check the formula syntax and declared-variable list deterministically; on malformed input reject without making a nondeterministic choice. On a valid input with declared variables, make exactly binary choices, interpret them in the declared order as an assignment, evaluate the formula, and accept exactly when it is true.
The computation paths are in bijection with the declared assignments, and a path accepts exactly when its assignment satisfies the formula. At there is one path, corresponding to the empty assignment; malformed input has no accepting path. Thus the accepting-path count is exactly .
The machine runs in polynomial time, so its counting function belongs to by [L1].
Depends on
Used by
Dependency tree · one level
2 results 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)