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.
3SAT polynomial-time many-one reduces to CLIQUE
Statement
There is a polynomial-time many-one reduction from -SAT to CLIQUE. Explicitly, for every -CNF formula one can construct in polynomial time a graph such that
Facts & Assumptions
Given: A -CNF formula
A polynomial-time many-one reduction is a total polynomial-time function preserving membership in both directions, by Polynomial-time many-one reductions.
A gadget reduction is correct only after the construction cost and both directions of the witness translation are proved, by Reduction gadgets and interface invariants.
A CLIQUE instance asks for pairwise adjacent vertices in a finite simple graph, by Clique, independent set, and vertex cover decision problems.
Proof
Construct a graph with one vertex for each literal occurrence in clause . Join and by an edge exactly when and the literals and are not complementary. Output the CLIQUE instance .
Assume that is satisfiable, and choose a satisfying assignment. For each clause , pick one literal made true by that assignment and take the corresponding vertex of . This gives chosen vertices, one from each clause. Two chosen literals cannot be complementary because one assignment cannot make a variable and its negation both true, so step 1.1 makes every chosen pair adjacent. Therefore the chosen vertices form an -clique.
Assume conversely that has a clique of size . By step 1.1, no two vertices from the same clause are adjacent, so contains exactly one vertex from each clause. Again by step 1.1, the literals represented by those vertices are pairwise noncomplementary. Assign truth values so that every chosen literal is true, and extend arbitrarily to variables not yet assigned. Then each clause contains its chosen true literal, so is satisfiable.
The graph has vertices and at most candidate edges, so the map in step 1.1 is computable in polynomial time. Steps 2.1 and 2.2 prove By [L1] and [L2], this is a polynomial-time many-one reduction.
Depends on
Used by
Dependency tree · two levels
7 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)