Hardness amplification within NP against deterministic algorithms

  • Authors:
  • Parikshit Gopalan;Venkatesan Guruswami

  • Affiliations:
  • Microsoft Research - Silicon Valley, Mountain View, CA 94043, United States;Computer Science Department, Carnegie Mellon University, United States

  • Venue:
  • Journal of Computer and System Sciences
  • Year:
  • 2011

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Abstract

We study the average-case hardness of the class NP against algorithms in P. We prove that there exists some constant @m0 such that if there is some language in NP for which no deterministic polynomial time algorithm can decide L correctly on a 1-(logn)^-^@m fraction of inputs of length n, then there is a language L^' in NP for which no deterministic polynomial time algorithm can decide L^' correctly on a 3/4+(logn)^-^@m fraction of inputs of length n. In coding theoretic terms, we give a construction of a monotone code that can be uniquely decoded up to error rate 14 by a deterministic local decoder.