• Media type: Electronic Conference Proceeding; Text; E-Article
  • Title: Errorless Versus Error-Prone Average-Case Complexity
  • Contributor: Hirahara, Shuichi [Author]; Santhanam, Rahul [Author]
  • imprint: Schloss Dagstuhl – Leibniz-Zentrum für Informatik, 2022
  • Language: English
  • DOI: https://doi.org/10.4230/LIPIcs.ITCS.2022.84
  • Keywords: instance checker ; pseudorandomness ; average-case complexity
  • Origination:
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  • Description: We consider the question of whether errorless and error-prone notions of average-case hardness are equivalent, and make several contributions. First, we study this question in the context of hardness for NP, and connect it to the long-standing open question of whether there are instance checkers for NP. We show that there is an efficient non-uniform non-adaptive reduction from errorless to error-prone heuristics for NP if and only if there is an efficient non-uniform average-case non-adaptive instance-checker for NP. We also suggest an approach to proving equivalence of the two notions of average-case hardness for PH. Second, we show unconditionally that error-prone average-case hardness is equivalent to errorless average-case hardness for P against NC¹ and for UP ∩ coUP against P. Third, we apply our results about errorless and error-prone average-case hardness to get new equivalences between hitting set generators and pseudo-random generators.
  • Access State: Open Access