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  • 标题:Strong Hardness Preserving Reduction from a P-Samplable Distribution to the Uniform Distribution for NP-Search Problems
  • 本地全文:下载
  • 作者:Akinori Kawachi ; Osamu Watanabe
  • 期刊名称:Electronic Colloquium on Computational Complexity
  • 印刷版ISSN:1433-8092
  • 出版年度:2009
  • 卷号:2009
  • 出版社:Universität Trier, Lehrstuhl für Theoretische Computer-Forschung
  • 摘要:Impagliazzo and Levin demonstrated [IL90] that the average-case hardness of any NP-search problem under any P-samplable distribution implies that of another NP-search problem under the uniform distribution. For this they developed a way to define a reduction from an NP-search problem F with ``mild hardness'' under any P-samplable distribution H; more specifically, F is a problem with positive hard instances with probability 1/poly(n) under H. In this paper we show a similar reduction for an NP-search problem F with ``strong hardness'', that is, F with positive hard instances with probability 1-1/poly(n) under H in its positive domain (i.e., the set of positive instances). Our reduction defines from this pair of F and H, some NP-search problem G with a similar hardness under the uniform distribution U; more precisely, (i) G has positive hard instances with probability 1-1/poly(n) under U in its positive domain, and (ii) the positive domain itself occupies 1/poly(n) of {0,1}^n.
  • 关键词:average-case complexity , distributional NP search problems , polynomial-time samplable distributions , reduction
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