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.
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- 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.
INDEPENDENT SET and VERTEX COVER are NP-complete
Statement
INDEPENDENT SET and VERTEX COVER are NP-complete.
Facts & Assumptions
Given: Arbitrary instances of INDEPENDENT SET and VERTEX COVER.
CLIQUE is NP-complete, by CLIQUE is NP-complete.
CLIQUE, INDEPENDENT SET, and VERTEX COVER polynomial-time many-one reduce to one another, by CLIQUE, INDEPENDENT SET, and VERTEX COVER are polynomially interreducible.
A language is NP-complete exactly when it is NP-hard and belongs to , by NP-hard and NP-complete languages.
INDEPENDENT SET asks for pairwise nonadjacent chosen vertices, and VERTEX COVER asks for at most vertices meeting every edge, by Clique, independent set, and vertex cover decision problems.
Proof
A certificate for INDEPENDENT SET is a list of vertices, and one checks in polynomial time that no pair among them is adjacent. A certificate for VERTEX COVER is a list of at most vertices, and one checks in polynomial time that every edge has an endpoint in that list. Hence both problems lie in .
Since [L1] makes CLIQUE NP-complete, every language in reduces to CLIQUE. Applying the reductions from [L2] from CLIQUE to INDEPENDENT SET and from CLIQUE to VERTEX COVER shows that every language in reduces to each of those target problems. Therefore both targets are NP-hard.
Combine step 1.1 with step 1.2 and [L3]. Both INDEPENDENT SET and VERTEX COVER are NP-complete.
Depends on
Used by
Nothing in the library uses this result yet.
Dependency tree · two levels
11 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
- Fabrizio Iozzi and Luca Trevisan, Handout NP3 (standard reference, not scraped)
- Sanjeev Arora and Boaz Barak, Computational Complexity: A Modern Approach (standard reference, not scraped)