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文章基本信息

  • 标题:Pseudorandom Generators, Measure Theory, and Natural Proofs
  • 本地全文:下载
  • 作者:Kenneth W. Regan ; D. Sivakumar ; Jin-Yi Cai
  • 期刊名称:Electronic Colloquium on Computational Complexity
  • 印刷版ISSN:1433-8092
  • 出版年度:1995
  • 卷号:1995
  • 出版社:Universität Trier, Lehrstuhl für Theoretische Computer-Forschung
  • 摘要:This paper proves that if strong pseudorandom number generators or one-way functions exist, then the class of languages that have polynomial-sized circuits is not small within exponential time, in terms of the resource-bounded measure theory of Lutz. More precisely, if for some \epsilon > 0 there exist nonuniformly 2^{n^{\epsilon}}-hard PSRGs, as is widely believed, then P/poly does not have measure zero in EXP. Our results establish connections between the measure theory and the ``natural proofs'' of Razborov and Rudich. Our work is also motivated by Lutz's hypothesis that NP does not have measure zero in EXP; obtaining our results with NP in place of P/poly would show much more far-reaching consequences from the existence of PSRGs than are currently known.
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