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arXiv 2202.04476cs.DMmath.CO

任意定向有向图中的核计数

Counting Kernels in Directed Graphs with Arbitrary Orientations

Bruno Jartoux

AI总结:

该研究针对有向图核计数与判定的NP难问题,提出了不依赖边定向的模糊圆形区间图核多项式计数与存在时构造算法,并证明补可约图核问题一般NP难但阈值图子类可线性时间求解。

摘要:

有向图的核是一个既独立又吸收的顶点子集(每个不在核中的顶点都有一个出邻接点在核中)。并非所有有向图都包含核,即使在低度平面有向图上,计算核或判定核不存在也是NP完全问题。现有的该问题多项式时间算法都对输入的无向结构和边定向都施加了限制:例如,限制为无双向边的弦图(Pass-Lanneau、Igarashi和Meunier,《Discrete Appl Math》2020年),或限制为每个团都有汇点的置换图(Abbas和Saoula,《4OR》2005年)。相比之下,我们在多项式时间内对模糊圆形区间图的核进行计数,无论其边定向如何,并且当核存在时返回一个核。(模糊圆形图由Chudnovsky和Seymour在其无爪图结构定理中提出。)我们还研究了补可约图上的核,证明了一般情况下的NP难度,但在阈值图子类上可实现线性运行时间。

英文摘要:

A kernel of a directed graph is a subset of vertices that is both independent and absorbing (every vertex not in the kernel has an out-neighbour in the kernel). Not all directed graphs contain kernels, and computing a kernel or deciding that none exist is NP-complete even on low-degree planar digraphs. The existing polynomial-time algorithms for this problem all restrict both the undirected structure and the edge orientations of the input: for example, to chordal graphs without bidirectional edges (Pass-Lanneau, Igarashi and Meunier, Discrete Appl Math 2020) or to permutation graphs where each clique has a sink (Abbas and Saoula, 4OR 2005). By contrast, we count the kernels of a fuzzy circular interval graph in polynomial time, regardless of its edge orientations, and return a kernel when one exists. (Fuzzy circular graphs were introduced by Chudnovsky and Seymour in their structure theorem for claw-free graphs.) We also consider kernels on cographs, where we establish NP-hardness in general but linear running times on the subclass of threshold graphs.

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