Computational complexity of covering multigraphs with semi-edges: Small cases

IF 1.4 3区 计算机科学 Q1 BUSINESS, FINANCE
Journal of Computer and System Sciences Pub Date : 2026-03-01 Epub Date: 2025-10-17 DOI:10.1016/j.jcss.2025.103714
Jan Bok , Jiří Fiala , Petr Hliněný , Nikola Jedličková , Jan Kratochvíl
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引用次数: 0

Abstract

We initiate the study of computational complexity of graph coverings, aka locally bijective graph homomorphisms, for graphs with semi-edges. The notion of graph covering is a discretization of coverings between surfaces or topological spaces, a notion well known and deeply studied in classical topology. Graph covers have found applications in discrete mathematics for constructing highly symmetric graphs, and in computer science in the theory of local computations. In 1991, Abello, Fellows, and Stillwell asked for a classification of the computational complexity of deciding if an input graph covers a fixed target graph, in the ordinary setting (of graphs with only edges). Although many general results are known, the full classification is still open. In spite of that, we propose to study the more general case of covering graphs composed of normal edges (including multiedges and loops) and so-called semi-edges. Semi-edges are becoming increasingly popular in modern topological graph theory, as well as in mathematical physics. They also naturally occur in the local computation setting, since they are lifted to matchings in the covering graph. We show that the presence of semi-edges makes the covering problem considerably harder; e.g., it is no longer sufficient to specify the vertex mapping induced by the covering, but one necessarily has to deal with the edge mapping as well. We show some solvable cases and, in particular, completely characterize the complexity of the already very nontrivial problem of covering one- and two-vertex (multi)graphs with semi-edges. Our NP-hardness results are proven for simple input graphs, and in the case of regular two-vertex target graphs, even for bipartite ones. We remark that our new characterization results also strengthen previously known results for covering graphs without semi-edges, and they in turn apply to an infinite class of simple target graphs with at most two vertices of degree more than two. Some of the results are moreover proven in a more general setting (e.g., finding k-tuples of pairwise disjoint perfect matchings in regular graphs).
用半边覆盖多图的计算复杂度:小情况
我们开始了图覆盖的计算复杂度的研究,又称局部双射图同态,对于具有半边的图。图覆盖的概念是曲面或拓扑空间之间的覆盖的离散化,这是一个在经典拓扑学中众所周知并被深入研究的概念。图盖在离散数学中用于构造高度对称的图,在计算机科学的局部计算理论中也有应用。1991年,Abello, Fellows和Stillwell要求对在普通设置(只有边的图)中决定输入图是否覆盖固定目标图的计算复杂度进行分类。虽然许多一般的结果是已知的,但完整的分类仍然是开放的。尽管如此,我们建议研究由正规边(包括多边和环)和所谓的半边组成的覆盖图的更一般的情况。半边在现代拓扑图理论和数学物理中越来越流行。它们也自然地出现在局部计算设置中,因为它们被提升到覆盖图中的匹配。我们证明了半边的存在使覆盖问题变得相当困难;例如,指定由覆盖引起的顶点映射已经不够了,还必须处理边缘映射。我们展示了一些可解的情况,特别是,完全表征了用半边覆盖单顶点和双顶点(多)图这个已经非常重要的问题的复杂性。我们的np -硬度结果证明了简单的输入图,在规则的两顶点目标图的情况下,甚至对于二部图。我们注意到,我们的新表征结果也加强了先前已知的无半边覆盖图的结果,并且它们反过来适用于无限类的简单目标图,其中最多有两个顶点的次数大于2。一些结果还在更一般的情况下得到了证明(例如,在正则图中找到成对不相交完美匹配的k元组)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of Computer and System Sciences
Journal of Computer and System Sciences 工程技术-计算机:理论方法
CiteScore
3.70
自引率
0.00%
发文量
58
审稿时长
68 days
期刊介绍: The Journal of Computer and System Sciences publishes original research papers in computer science and related subjects in system science, with attention to the relevant mathematical theory. Applications-oriented papers may also be accepted and they are expected to contain deep analytic evaluation of the proposed solutions. Research areas include traditional subjects such as: • Theory of algorithms and computability • Formal languages • Automata theory Contemporary subjects such as: • Complexity theory • Algorithmic Complexity • Parallel & distributed computing • Computer networks • Neural networks • Computational learning theory • Database theory & practice • Computer modeling of complex systems • Security and Privacy.
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