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.
CLIQUE is NP-complete
Statement
CLIQUE is NP-complete.
Facts & Assumptions
Given: An arbitrary CLIQUE instance .
The previous theorem gives a polynomial-time many-one reduction from -SAT to CLIQUE, by 3SAT polynomial-time many-one reduces to CLIQUE.
The language -SAT is NP-complete, by 3-SAT is NP-complete.
A language is NP-complete exactly when it is NP-hard and belongs to , by NP-hard and NP-complete languages.
A yes-instance of CLIQUE consists of a graph with pairwise adjacent chosen vertices, by Clique, independent set, and vertex cover decision problems.
Proof
First reject malformed instances and any ; such an instance cannot contain a -clique. Otherwise , so a certificate is a list of at most vertices. Check that exactly listed vertices are distinct and every pair is adjacent. The certificate length and verification time are polynomial in the graph encoding length, even when is written in binary. Thus CLIQUE lies in .
Because [L2] says that -SAT is NP-complete, every language in reduces to -SAT. Composing any such reduction with the fixed reduction [L1] shows that every language in reduces to CLIQUE. Hence CLIQUE is NP-hard.
Step 1.1 gives CLIQUE , and step 1.2 gives NP-hardness. Therefore CLIQUE is NP-complete by [L3].
Depends on
Used by
Dependency tree · two levels
12 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
- Sanjeev Arora and Boaz Barak, Computational Complexity: A Modern Approach (standard reference, not scraped)
- Fabrizio Iozzi and Luca Trevisan, Handout NP3 (standard reference, not scraped)