Tight Lower Bounds for Certain Parameterized NP-Hard Problems

  • Authors:
  • Jianer Chen;Benny Chor;Mike Fellows;Xiuzhen Huang;David Juedes;Iyad Kanj;Ge Xia

  • Affiliations:
  • Texas A&M University;Tel-Aviv University;University of Newcastle;Texas A&M University;Ohio University;DePaul University;Texas A&M University

  • Venue:
  • CCC '04 Proceedings of the 19th IEEE Annual Conference on Computational Complexity
  • Year:
  • 2004

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Abstract

Based on the framework of parameterized complexitytheory,we derive tight lower bounds on the computationalcomplexity for a number of well-known NP-hard problems.We start by proving a general result, namely that theparameterized weighted satisfiability problem on depth-tcircuits cannot be solved in time n^o(k) poly(m), where nis the circuit input length, m is the circuit size, and kis the parameter, unless the (t - 1)-st level W[t - 1] ofthe W-hierarchy collapses to FPT. By refining this technique,we prove that a group of parameterized NP-hardproblems, including weighted sat, dominating set,hitting set, set cover, and feature set, cannot besolved in time n^o(k) poly(m), where n is the size of theuniversal set from which the k elements are to be selectedand m is the instance size, unless the first level W[1] ofthe W-hierarchy collapses to FPT. We also prove thatanother group of parameterized problems which includesweighted q-sat (for any fixed q 驴 2), clique, and independentset, cannot be solved in time n^o(k) unless allsearch problems in the syntactic class SNP, introduced byPapadimitriou and Yannakakis, are solvable in subexponentialtime. Note that all these parameterized problemshave trivial algorithms of running time either n^k poly(m)or O(n^k).