Cops-Robber Games and the Resolution of Tseitin Formulas

Nicola Galesi, N. Talebanfard, J. Torán
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引用次数: 12

Abstract

We characterize several complexity measures for the resolution of Tseitin formulas in terms of a two person cop-robber game. Our game is a slight variation of the one Seymour and Thomas used in order to characterize the tree-width parameter. For any undirected graph, by counting the number of cops needed in our game in order to catch a robber in it, we are able to exactly characterize the width, variable space, and depth measures for the resolution of the Tseitin formula corresponding to that graph. We also give an exact game characterization of resolution variable space for any formula. We show that our game can be played in a monotone way. This implies that the associated resolution measures on Tseitin formulas correspond exactly to those under the restriction of Davis-Putnam resolution, implying that this kind of resolution is optimal on Tseitin formulas for all the considered measures. Using our characterizations, we improve the existing complexity bounds for Tseitin formulas showing that resolution width, depth, and variable space coincide up to a logarithmic factor, and that variable space is bounded by the clause space times a logarithmic factor.
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警察-强盗博弈与tsetitin公式的求解
我们描述了用两个人的警察-强盗博弈来解决tseittin公式的几种复杂性措施。我们的游戏是Seymour和Thomas用来描述树宽度参数的游戏的一个细微变化。对于任何无向图,通过计算游戏中捕获抢劫犯所需的警察数量,我们能够准确地描述与该图对应的tseittin公式的宽度、可变空间和深度度量。我们还给出了任意公式的分辨率变量空间的精确博弈表征。我们展示了我们的游戏可以以单调的方式进行。这意味着tseittin公式上的相关分辨率措施与Davis-Putnam分辨率约束下的分辨率措施完全对应,这意味着对于所有考虑的措施,这种分辨率在tseittin公式上是最优的。使用我们的描述,我们改进了tseittin公式的现有复杂性界限,表明分辨率宽度、深度和变量空间一致到一个对数因子,并且变量空间由子句空间乘以一个对数因子限定。
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