Hardness of Maximum Constraint Satisfaction

Autor: Chan, Siu On
Jazyk: angličtina
Rok vydání: 2013
Předmět:
Zdroj: Chan, Siu On. (2013). Hardness of Maximum Constraint Satisfaction. UC Berkeley: Computer Science. Retrieved from: http://www.escholarship.org/uc/item/5x33g1k7
Popis: We show optimal (up to a constant factor) NP-hardness for maximum constraint satisfaction problem with k variables per constraint (Max-k-CSP), whenever k is larger than the domain size. This follows from our main result concerning CSPs given by a predicate: a CSP is approximation resistant if its predicate contains a subgroup that is balanced pairwise independent. Our main result is analogous to Austrin and Mossel's, bypassing their Unique-Games Conjecture assumption whenever the predicate is an abelian subgroup.Our main ingredient is a new gap-amplification technique inspired by XOR-lemmas. Using this technique, we also improve the NP-hardness of approximating Independent-Set on bounded-degree graphs, Almost-Coloring, Two-Prover-One-Round-Game, and various other problems.
Databáze: OpenAIRE