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Algebraic Proofs over Noncommutative Formulas

机译:非交换方程的代数证明

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We study possible formulations of algebraic propositional proofs operating with noncommutative polynomials written as algebraic noncommutative formulas. First, we observe that a simple formulation of such proof systems gives rise to systems at least as strong as Frege— yielding also a semantic way to define a Cook-Reckhow (i.e., polyno-mially verifiable) algebraic variant of Frege proofs, different from that given before in [8,11]. We then turn to an apparently weaker system, namely, Polynomial Calculus (PC) where polynomials are written as ordered formulas (PC over ordered formulas, for short). This is an algebraic propositional proof system that operates with noncommutative polynomials in which the order of products in all monomials respects a fixed linear ordering on the variables, and where proof-lines are written as noncommutative formulas. We show that the latter proof system is strictly stronger than resolution, polynomial calculus and polynomial calculus with resolution (PCR) and admits polynomial-size refutations for the pigeonhole principle and the Tseitin's formulas. We conclude by proposing an approach for establishing lower bounds on PC over ordered formulas proofs, and related systems, based on properties of lower bounds on noncommutative formulas. The motivation behind this work is developing techniques incorporating rank arguments (similar to those used in algebraic circuit complexity) for establishing lower bounds on propositional proofs.
机译:我们研究用代数非交换公式写成的非交换多项式运算的代数命题证明的可能公式。首先,我们观察到这种证明系统的简单表述产生了至少与弗雷格一样强的系统,这也产生了一种语义方法来定义弗雷格证明的Cook-Reckhow(即,多项式可验证的)代数变体,不同于在[8,11]之前给出的。然后,我们转向一个看似较弱的系统,即多项式演算(PC),其中多项式被编写为有序公式(简称PC,而不是有序公式)。这是一个代数命题证明系统,它使用非可交换多项式运行,其中所有单项式的乘积顺序都遵循变量上的固定线性顺序,并且证明线被写为非可交换公式。我们表明,后者的证明系统严格地比分辨率,多项式演算和带分辨率的多项式演算(PCR)强,并且接受信鸽原理和Tseitin公式的多项式大小反驳。最后,我们基于非交换公式下界的性质,提出了一种在有序公式证明和相关系统上建立PC下界的方法。这项工作背后的动机是开发结合秩论(类似于代数电路复杂性中使用的论证)的技术,以在命题证明中确定下界。

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