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Polynomial-time many-one reductions transfer P-, NP-, and coNP-membership
Statement
Let and suppose that .
- If , then .
- If , then .
- If , then .
Facts & Assumptions
Given: Binary languages and a fixed total polynomial-time map witnessing .
A polynomial-time many-one reduction is a total polynomial-time membership-preserving map, by Polynomial-time many-one reductions.
Composites of polynomial-time many-one reductions are again polynomial-time many-one reductions, by Polynomial-time many-one reductions compose.
is the class of polynomial-time decidable languages, by The class P.
is the class of languages with polynomial-time verifiers and polynomially bounded certificates, by The class NP via polynomial-time verifiers and Polynomial-time verifiers with polynomially bounded certificates.
consists of complements of NP-languages, by The class coNP.
Proof
Assume , and let be a polynomial-time decider for from [L3]. On input , compute the fixed map and then run on that output. By [L1], the answer is correct because iff , and the whole procedure is polynomial-time because both stages are. Thus .
Assume . By [L4], choose a verifier relation and polynomial certificate bound for . Using the fixed reduction map , define a verifier for by declaring that is accepted exactly when . The output length is polynomial in , so the bound is still polynomial in . Correctness follows from . Therefore .
Assume . Then by [L5]. The fixed reduction map also witnesses , because . Applying step 1.2 to the reduction gives , and then [L5] yields . The composition principle [L2] guarantees that chaining such transfers remains inside the same reduction class.
Steps 1.1, 1.2, and 2.1 prove the three transfer clauses.
Depends on
Used by
- An NP-complete language in P forces P=NP Proposition
Dependency tree · two levels
8 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
- Michael Sipser, MIT 18.404J Theory of Computation, Lecture 14: P and NP, SAT, Poly-time Reducibility (standard reference, not scraped)
- Sanjeev Arora and Boaz Barak, Computational Complexity: A Modern Approach (standard reference, not scraped)