Descriptive complexity of linear equation systems and applications to propositional proof complexity

Martin Grohe, Wied Pakusa
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引用次数: 11

Abstract

We prove that the solvability of systems of linear equations and related linear algebraic properties are definable in a fragment of fixed-point logic with counting that only allows polylogarithmically many iterations of the fixed-point operators. This enables us to separate the descriptive complexity of solving linear equations from full fixed-point logic with counting by logical means. As an application of these results, we separate an extension of first-order logic with a rank operator from fixed-point logic with counting, solving an open problem due to Holm [21]. We then draw a connection from this work in descriptive complexity theory to graph isomorphism testing and propositional proof complexity. Answering an open question from [7], we separate the strength of certain algebraic graph-isomorphism tests. This result can also be phrased as a separation of the algebraic propositional proof systems “Nullstellensatz” and “monomial PC”.
线性方程组的描述复杂性及其在命题证明复杂性中的应用
我们证明了线性方程组的可解性和相关的线性代数性质在一个只允许多点算子的多对数多次迭代的计数不动点逻辑片段中是可定义的。这使我们能够将求解线性方程的描述性复杂性与用逻辑方法计数的完全不动点逻辑分离开来。作为这些结果的应用,我们将带秩算子的一阶逻辑的扩展从带计数的不动点逻辑中分离出来,解决了Holm[21]提出的一个开放问题。然后,我们从描述复杂性理论的工作中得出图同构检验和命题证明复杂性的联系。回答[7]中的一个开放问题,我们分离了某些代数图同构检验的强度。这个结果也可以表述为代数命题证明系统“零”和“单项式PC”的分离。
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