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On the Resolution Complexity of Graph Non-isomorphism

机译:图非同构的解析复杂度

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For a pair of given graphs we encode the isomorphism principle in the natural way as a CNF formula of polynomial size in the number of vertices, which is satisfiable if and only if the graphs are isomorphic. Using the CFI graphs from, we can transform any undirected graph G into a pair of non-isomorphic graphs. We prove that the resolution width of any refutation of the formula stating that these graphs are isomorphic has a lower bound related to the expansion properties of G. Using this fact, we provide an explicit family of non-isomorphic graph pairs for which any resolution refutation requires an exponential number of clauses in the size of the initial formula. These graphs pairs are colored with color multiplicity bounded by 4. In contrast we show that when the color classes are restricted to have size 3 or less, the non-isomorphism formulas have tree-like resolution refutations of polynomial size.
机译:对于一对给定的图,我们以自然方式将同构原理编码为在顶点数上多项式大小的CNF公式,当且仅当图是同构时,才可以满足要求。使用中的CFI图,我们可以将任何无向图G转换为一对非同构图。我们证明表明这些图是同构的公式的任何反驳的分辨率宽度都有一个与G的扩张性质相关的下界。使用此事实,我们提供了一个明确的非同构图对族,对此任何分辨率反驳在初始公式的大小中需要指数数量的子句。这些图对以颜色多样性为4的颜色进行着色。相反,我们显示出,当颜色类别的大小限制为3或更小时,非同构公式具有多项式大小的树状分辨率反驳。

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