Parameterized Complexity of MaxSat Above Average
Abstract
In MaxSat, we are given a CNF formula with variables and clauses and asked to find a truth assignment satisfying the maximum number of clauses. Let be the number of literals in the clauses of . Then is the expected number of clauses satisfied by a random truth assignment (the truth values to the variables are distributed uniformly and independently). It is well-known that, in polynomial time, one can find a truth assignment satisfying at least clauses. In the parameterized problem MaxSat-AA, we are to decide whether there is a truth assignment satisfying at least clauses, where is the parameter. We prove that MaxSat-AA is para-NP-complete and, thus, MaxSat-AA is not fixed-parameter tractable unless PNP. This is in sharp contrast to MaxLin2-AA which was recently proved to be fixed-parameter tractable by Crowston et al. (arXiv:1104.1135v3). In fact, we consider a more refined version of {\sc MaxSat-AA}, {\sc Max--Sat-AA}, where for each . Alon {\em et al.} (SODA 2010) proved that if is a constant, then {\sc Max--Sat-AA} is fixed-parameter tractable. We prove that {\sc Max--Sat-AA} is para-NP-complete for We also prove that assuming the exponential time hypothesis, {\sc Max--Sat-AA} is not in XP already for any , where is any unbounded strictly increasing function. This lower bound on cannot be decreased much further as we prove that {\sc Max--Sat-AA} is (i) in XP for any and (ii) fixed-parameter tractable for any , where is any unbounded strictly increasing function. The proof uses some results on {\sc MaxLin2-AA}.
Keywords
Cite
@article{arxiv.1108.4501,
title = {Parameterized Complexity of MaxSat Above Average},
author = {Robert Crowston and Gregory Gutin and Mark Jones and Venkatesh Raman and Saket Saurabh},
journal= {arXiv preprint arXiv:1108.4501},
year = {2011}
}