多项式微积分的下界与可拓规则

Yaroslav Alekseev
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引用次数: 9

摘要

一个主要的证明复杂性问题是证明任意深度的Frege证明长度的一个超多项式下界。一个更一般的问题是证明一个扩展的Frege下界。令人惊讶的是,在代数环境中证明这样的边界要容易得多。在本文中,我们研究了一个可以模拟扩展Frege的证明系统:一个多项式微积分证明系统的扩展,我们可以取平方根并引入新的变量,这些变量等价于任意深度的代数电路。我们证明了子集和原理的一个实例,即二进制值原理1 + x1 + 2x2 +…+ 2n−1xn = 0 (BVPn),需要在该系统中反驳超过Q的指数位大小。Part和Tzameret[18]证明了BVPn的Res-Lin (Resolution over linear equations[22])反驳大小的指数下界。我们证明了我们的系统p-模拟Res-Lin,因此我们得到了BVPn的Res-Lin反驳大小的可选指数下界。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A lower bound for polynomial calculus with extension rule
A major proof complexity problem is to prove a superpolynomial lower bound on the length of Frege proofs of arbitrary depth. A more general question is to prove an Extended Frege lower bound. Surprisingly, proving such bounds turns out to be much easier in the algebraic setting. In this paper, we study a proof system that can simulate Extended Frege: an extension of the Polynomial Calculus proof system where we can take a square root and introduce new variables that are equivalent to arbitrary depth algebraic circuits. We prove that an instance of the subset-sum principle, the binary value principle 1 + x1 + 2x2 + ... + 2n−1xn = 0 (BVPn), requires refutations of exponential bit size over Q in this system. Part and Tzameret [18] proved an exponential lower bound on the size of Res-Lin (Resolution over linear equations [22]) refutations of BVPn. We show that our system p-simulates Res-Lin and thus we get an alternative exponential lower bound for the size of Res-Lin refutations of BVPn.
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