On the computational complexity of small descriptions

Ricard Gavaldà, O. Watanabe
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引用次数: 27

Abstract

For a set L that is polynomial time reducible to some sparse set, the authors investigate the computational complexity of such sparse sets relative to L. They construct sets A and B such that both of them are polynomial time reducible to some sparse set, but A (resp., B) is polynomial time reducible to no sparse set in P/sup A/ (resp., NP/sup B/ intersection co-NP/sup B/); that is, the complexity of sparse sets to which A (resp., B) is reducible is more than P/sup A/ (resp., NP/sup B/ intersection co-NP/sup B/). From these results and/or application of their proof technique the authors obtain: (1) lower bounds for the relative complexity of finding polynomial size circuits for some sets in P/poly, and (2) separations of the equivalence classes of sparse sets under various reducibilities.<>
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小描述的计算复杂度
对于多项式时间可约为某一稀疏集的集合L,研究了其相对于L的计算复杂度。他们构造了集合a和B,使得它们都是多项式时间可约为某一稀疏集,但a (p. 1)是可约的。, B)是多项式时间可约到P/sup中的无稀疏集A/ (resp)。, NP/sup B/交集co-NP/sup B/);即,A (p)对应的稀疏集的复杂度。, B)可约性大于P/sup A/ (P/sup)。, NP/sup B/交集co-NP/sup B/)。从这些结果和/或他们的证明技术的应用中,作者得到:(1)P/poly中某些集寻找多项式大小电路的相对复杂度的下界,以及(2)各种可约性下稀疏集等价类的分离。
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Gap-definable counting classes Counting classes are at least as hard as the polynomial-time hierarchy DSPACE (n/sup k/)=VAR(k+1) On the random-self-reducibility of complete sets Geometric arguments yield better bounds for threshold circuits and distributed computing
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