Proof Complexity Meets Algebra

Albert Atserias, Joanna Ochremiak
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引用次数: 23

Abstract

We analyze how the standard reductions between constraint satisfaction problems affect their proof complexity. We show that, for the most studied propositional, algebraic, and semialgebraic proof systems, the classical constructions of pp-interpretability, homomorphic equivalence, and addition of constants to a core preserve the proof complexity of the CSP. As a result, for those proof systems, the classes of constraint languages for which small unsatisfiability certificates exist can be characterized algebraically. We illustrate our results by a gap theorem saying that a constraint language either has resolution refutations of constant width or does not have bounded-depth Frege refutations of subexponential size. The former holds exactly for the widely studied class of constraint languages of bounded width. This class is also known to coincide with the class of languages with refutations of sublinear degree in Sums of Squares and Polynomial Calculus over the real field, for which we provide alternative proofs. We then ask for the existence of a natural proof system with good behavior with respect to reductions and simultaneously small-size refutations beyond bounded width. We give an example of such a proof system by showing that bounded-degree Lovász-Schrijver satisfies both requirements. Finally, building on the known lower bounds, we demonstrate the applicability of the method of reducibilities and construct new explicit hard instances of the graph three-coloring problem for all studied proof systems.
证明复杂度满足代数
分析了约束满足问题之间的标准约简对其证明复杂度的影响。我们证明,对于大多数研究过的命题证明系统、代数证明系统和半代数证明系统,经典的pp-可解释性、同态等价和向核添加常数的构造保持了CSP的证明复杂性。因此,对于这些证明系统,存在小不满足性证书的约束语言类可以用代数方法来表征。我们用一个间隙定理来说明我们的结果,即约束语言要么具有定宽的分辨率反驳,要么不具有次指数大小的有界深度Frege反驳。前者完全适用于被广泛研究的有界宽度约束语言。这类语言也被认为与实域上平方和和多项式微积分中的次线性度的反驳相一致,对此我们提供了替代的证明。然后,我们要求存在一个自然证明系统,该系统在约简方面具有良好的行为,同时具有超越有界宽度的小尺寸反驳。我们给出了这样一个证明系统的一个例子,证明有界度Lovász-Schrijver满足这两个条件。最后,在已知下界的基础上,我们证明了可约性方法的适用性,并为所有研究的证明系统构造了图三着色问题的新的显式硬实例。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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