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.
Np and conp are the first levels
Statement
and .
Facts & Assumptions
Given: the objects and hypotheses in the statement above.
First-level existential and universal polynomial-time predicates define the first hierarchy levels. (Polynomial hierarchy levels).
NP consists of languages admitting polynomial-time verifiers with polynomially bounded certificates. (The class NP via polynomial-time verifiers).
coNP consists of complements of NP languages in the same binary-string universe. (The class coNP).
Proof
A first-level existential predicate is a polynomial-time verifier with a polynomial-length certificate, so it defines an NP language. Conversely, encode a bounded-length verifier certificate by a length field and padding; a total decoding onto all allowed certificates preserves existence and gives the first-level predicate. This includes length zero and the empty input.
Negating that existential formula yields a universal formula for the complement. Conversely negating a universal formula yields an NP verifier. By the definition of coNP these are exactly the languages of .
Depends on
Used by
- Np and conp are the first levels Example
- Elementary high low identities Proposition
- Quantifier and oracle characterizations of ph Theorem
Dependency tree · two levels
5 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
- Arora–Barak, Computational Complexity, 2007 draft; §5.2 Remark5.5, p92. (standard reference, not scraped)