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.
FALSE: NP-complete means proven not to lie in P
Statement
If a language is NP-complete, then it has already been proved not to belong to .
Facts & Assumptions
Given: An NP-complete language .
NP-complete means that lies in and every NP-language reduces to it, by NP-hard and NP-complete languages.
If an NP-complete language lies in , then , by An NP-complete language in P forces .
The question whether remains unsolved; the Clay Mathematics Institute lists P versus NP as an unsolved Millennium Prize Problem.
Refutation
The definition quoted in [L1] contains no clause asserting . It says only that is in and is hard for under the chosen reductions.
If had already been proved, then [L1] would give a language in and hence prove . But [F1] records that this question remains unsolved. Conversely, [L2] says that finding would prove . Thus NP-completeness does not mean that exclusion from has already been proved; it identifies the consequence either kind of resolution would have.
Depends on
Used by
Nothing in the library uses this result yet.
Dependency tree · two levels
6 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
- Stephen A. Cook, The Complexity of Theorem-Proving Procedures (standard reference, not scraped)
- Sanjeev Arora and Boaz Barak, Computational Complexity: A Modern Approach (standard reference, not scraped)
- Clay Mathematics Institute, P vs NP (standard reference, not scraped)