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Detecting induced subgraphs

机译:检测诱导子图

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An s-graph is a graph with two kinds of edges: subdivisible edges and real edges. A realisationof an s-graph B is any graph obtained by subdividing subdivisible edges of B into pathsof arbitrary length (at least one). Given an s-graph B, we study the decision problem 175whose instance is a graph G and question is "Does G contain a realisation of B as an inducedsubgraph?". For several B's, the complexity of 17B is known and here we give the complexityfor several more. Our NP-completeness proofs for Π_B'srely on the NP-completeness proof of thefollowing problem. Let &be a set of graphs anddbe an integer. Let Γ_&~dbe the problemwhose instance is (G, x, y) where G is a graph whose maximum degree is at most d, withno induced subgraph in &andx, y∈V (G)are two non-adjacent vertices of degree 2.The question is "Does G contain an induced cycle passing through x, y?". Among severalresults, we prove that Γ_N~3is NP-complete. We give a simple criterion on connected graph H to decide whether Γ_(H)~(+∞)is polynomial or NP-complete. The cases rely on thealgorithm three-in-a-tree, due to Chudnovsky and Seymour.
机译:s图是具有两种边的图:可细分边和实边。 s-图B的实现是通过将B的可细分边缘细分为任意长度(至少一个)的路径而获得的任何图。给定一个s图B,我们研究决策问题175,其中实例是图G,而问题是“ G是否将B的实现包含为诱导子图?”。对于几个B,已知17B的复杂度,在此我们再给出几个复杂度。我们针对Π_B的NP完全性证明仅取决于以下问题的NP完全性证明。令&为一组图,d为整数。令Γ_〜d为实例(G,x,y)的问题,其中G是最大度为d的图,在&andx中没有诱导子图,y∈V(G)是度2的两个不相邻顶点。问题是“ G是否包含经过x,y的感应周期?”。在一些结果中,我们证明Γ_N〜3是NP-完全的。我们给出一个关于连通图H的简单判据,确定Γ_(H)〜(+∞)是多项式还是NP-complete。由于Chudnovsky和Seymour,这些案例依赖于三棵树算法。

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