On derandomization and average-case complexity of monotone functions

  • Authors:
  • George Karakostas;Jeff Kinne;Dieter van Melkebeek

  • Affiliations:
  • McMaster University, Canada;Indiana State University, United States;University of Wisconsin-Madison, United States

  • Venue:
  • Theoretical Computer Science
  • Year:
  • 2012

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Abstract

We investigate whether circuit lower bounds for monotone circuits can be used to derandomize randomized monotone circuits. We show that, in fact, any derandomization of randomized monotone computations would derandomize all randomized computations, whether monotone or not. We prove similar results in the settings of pseudorandom generators and average-case hard functions - that a pseudorandom generator secure against monotone circuits is also secure with somewhat weaker parameters against general circuits, and that an average-case hard function for monotone circuits is also hard with somewhat weaker parameters for general circuits.