Hardness Amplification within NP against Deterministic Algorithms

  • Authors:
  • Parikshit Gopalan;Venkatesan Guruswami

  • Affiliations:
  • -;-

  • Venue:
  • CCC '08 Proceedings of the 2008 IEEE 23rd Annual Conference on Computational Complexity
  • Year:
  • 2008

Quantified Score

Hi-index 0.00

Visualization

Abstract

We study the average-case hardness of the class NP against deterministic polynomial time algorithms. We prove that there exists some constant μ 0 such that if there is some language in NP for which no deterministic polynomial time algorithm can decide L correctly on a 1 − (log n)−μ 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 + (log n)−μ 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 1/4 by a deterministic local decoder.