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 3-COLORABILITY
Statement
There is a polynomial-time many-one reduction from -SAT to -COLORABILITY.
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 must prove the construction cost and both directions of correctness, by Reduction gadgets and interface invariants.
A graph is a yes-instance of -COLORABILITY exactly when it admits a proper colouring with colours , by The three-colourability decision problem.
Proof
First reduce to a not-all-equal -CNF formula. Introduce one global fresh variable and, for each clause , one fresh variable . Replace by the two NAE clauses and . Call the conjunction of all these clauses . This is polynomial-time and doubles the number of clauses.
The formula is satisfiable if and only if is NAE-satisfiable. If is satisfiable, set and keep the satisfying values of the original variables. Then every original clause has at least one true literal, so the four-tuple is not all equal; choose so that the pair of NAE clauses in step 1.1 holds, which is possible exactly because . Conversely, if is NAE-satisfiable and , then each original clause has at least one true literal and is satisfiable. If instead , complement every Boolean value. NAE truth is invariant under global complementation, so the complemented assignment still satisfies and now has . Thus is satisfiable in all cases.
From , build a graph as follows. Add one distinguished vertex . For each variable appearing in , add the triangle on the three vertices . For each NAE clause with ordered literal occurrences , add a clause triangle with three position-distinguished vertices , and join them respectively to the variable-triangle vertices labeled . The position labels remain distinct even when a literal is repeated. This is polynomial-time and creates vertices and edges.
Suppose that is NAE-satisfiable. Colour by . In each variable triangle, colour the literal vertices and by their Boolean values and , which are opposite because they are complements. Now fix one clause triangle. Because the clause is NAE-satisfied, two of its literals have different Boolean values; colour the corresponding two clause vertices by the opposite Boolean values, so each differs from the colour of the adjacent variable vertex. Colour the third clause vertex by . The three clause-vertex colours are then , so the clause triangle is proper. Doing this for every clause yields a proper three-colouring of .
Suppose conversely that has a proper three-colouring. Every triangle uses all three colours, so after permuting colour names assume has colour . In each variable triangle, the vertices and therefore receive colours and in some order; assign the truth value of the literal to be the complementary Boolean value, so and receive opposite truth values. In each clause triangle, exactly one vertex has colour and the other two have colours and . Because each clause vertex is adjacent to the matching literal vertex, a clause vertex with colour or forces the corresponding literal to have the complementary truth value. Thus the three literals of the clause are not all equal, so the clause is NAE-satisfied. Therefore is NAE-satisfiable.
Steps 2.1, 3.1, and 4.1 show . Since the constructions in steps 1.1 and 2.2 are polynomial-time, [L1] and [L2] yield a polynomial-time many-one reduction from -SAT to -COLORABILITY.
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
- John E. Savage, Models of Computation, Chapter 8 (standard reference, not scraped)