A study of proof search algorithms for resolution and polynomial calculus

Maria Luisa Bonet, Nicola Galesi
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引用次数: 70

Abstract

The paper is concerned with the complexity of proofs and of searching for proofs in two propositional proof systems: Resolution and Polynomial Calculus (PC). For the former system we show that the recently proposed algorithm of E. Ben-Sasson and A. Wigderson (1999) for searching for proofs cannot give better than weakly exponential performance. This is a consequence of showing optimality of their general relationship, referred to as size-width trade-off. We moreover obtain the optimality of the size width trade-off for the widely used restrictions of resolution: regular, Davis-Putnam, negative, positive and linear. As for the second system, we show that the direct translation to polynomials of a CNF formula having short resolution proofs, cannot be refuted in PC with degree less than /spl Omega/ (log n). A consequence of this is that the simulation of resolution by PC of M. Clegg, J. Edmonds and R. Impagliazzo (1996) cannot be improved to better than quasipolynomial in the case where we start with small resolution proofs. We conjecture that the simulation of M. Clegg et al. is optimal.
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分辨率和多项式微积分的证明搜索算法研究
本文讨论了两个命题证明系统:分解和多项式演算(PC)中证明和寻找证明的复杂性。对于前一个系统,我们证明了E. Ben-Sasson和A. Wigderson(1999)最近提出的用于搜索证明的算法不能给出比弱指数更好的性能。这是显示它们一般关系的最优性的结果,称为尺寸-宽度权衡。此外,对于常用的分辨率限制:正则、Davis-Putnam、负、正、线性,我们得到了尺寸宽度权衡的最优性。对于第二个系统,我们表明,具有短分辨率证明的CNF公式的直接转化为多项式,在阶数小于/spl ω / (log n)的PC中不能被反驳。其结果是,在我们从小分辨率证明开始的情况下,M. Clegg, J. Edmonds和R. Impagliazzo(1996)的PC对分辨率的模拟不能改进到比拟多项式更好。我们推测M. Clegg等人的模拟是最优的。
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