Cutting a tree with subgraph complementation is hard, except for some small trees

Pub Date : 2024-05-09 DOI:10.1002/jgt.23112
Dhanyamol Antony, Sagartanu Pal, R. B. Sandeep, R. Subashini
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引用次数: 0

Abstract

For a graph property Π ${\rm{\Pi }}$ , Subgraph Complementation to Π ${\rm{\Pi }}$ is the problem to find whether there is a subset S $S$ of vertices of the input graph G $G$ such that modifying G $G$ by complementing the subgraph induced by S $S$ results in a graph satisfying the property Π ${\rm{\Pi }}$ . We prove that the problem of Subgraph Complementation to T $T$ -free graphs is NP-Complete, for T $T$ being a tree, except for 41 trees of at most 13 vertices (a graph is T $T$ -free if it does not contain any induced copies of T $T$ ). This result, along with the four known polynomial-time solvable cases (when T $T$ is a path on at most four vertices), leaves behind 37 open cases. Further, we prove that these hard problems do not admit any subexponential-time algorithms, assuming the Exponential-Time Hypothesis. As an additional result, we obtain that Subgraph Complementation to paw-free graphs can be solved in polynomial-time.

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用子图互补法切割一棵树是很难的,除非是一些小树
对于一个图的属性而言,"补全子图"(Subgraph Complementation to)是一个问题,即找出输入图中是否存在这样一个顶点子集,即通过补全由其诱导的子图来进行修改,从而得到一个满足该属性的图。我们证明,对于树状图而言,子图补全到-free 图的问题是 NP-Complete(NP-Complete)的,但顶点数最多为 13 的 41 棵树(如果一个图不包含任何"-free "的诱导副本,则该图为-free)除外。这一结果,加上已知的四种多项式时间可解情况(当最多四个顶点上有一条路径时),留下了 37 种未解情况。此外,我们还证明,假设存在指数时间假说,这些难题不存在任何亚指数时间算法。作为附加结果,我们还得到了无爪图的子图补全可以在多项式时间内求解。
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