{"title":"Star covers and star partitions of double-split graphs","authors":"Joyashree Mondal, S. Vijayakumar","doi":"10.1007/s10878-024-01112-2","DOIUrl":null,"url":null,"abstract":"<p>A graph that is isomorphic to the complete bipartite graph <span>\\(K_{1,r}\\)</span> for some <span>\\(r\\ge 0\\)</span> is called a <i>star</i>. A collection <span>\\(\\mathcal {C} = \\{V_1, \\ldots , V_k\\}\\)</span> of subsets of the vertex set of a graph <span>\\(G = (V, E)\\)</span> is called a <i>star cover</i> of <i>G</i> if each set in the collection induces a star and has <span>\\(V_1\\cup \\ldots \\cup V_k = V\\)</span>. A star cover <span>\\(\\mathcal {C}\\)</span> of a graph <span>\\(G = (V, E)\\)</span> is called a <i>star partition</i> of <i>G</i> if <span>\\(\\mathcal {C}\\)</span> is also a partition of <i>V</i>. The problem <span>Star Cover</span> takes a graph <i>G</i> as input and asks for a star cover of <i>G</i> of minimum size. The problem <span>Star Partition</span> takes a graph <i>G</i> as input and asks for a star partition of <i>G</i> of minimum size. From Shalu et al. (Discrete Appl Math 319:81–91, 2022), it follows that both these problems are NP-hard even for bipartite graphs. In this paper, we show that both <span>Star Cover</span> and <span>Star Partition</span> have <span>\\(O(n^7)\\)</span> time exact algorithms for double-split graphs. Proving that our algorithms indeed have running time <span>\\(\\varOmega (n^7)\\)</span> necessitates the construction of an intricate infinite family of double-split graphs meeting several requirements. Other contributions of the paper are a simple linear time recognition algorithm for double-split graphs and a useful succinct matrix representation for double-split graphs.\n</p>","PeriodicalId":50231,"journal":{"name":"Journal of Combinatorial Optimization","volume":"14 1","pages":""},"PeriodicalIF":0.9000,"publicationDate":"2024-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Combinatorial Optimization","FirstCategoryId":"100","ListUrlMain":"https://doi.org/10.1007/s10878-024-01112-2","RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
引用次数: 0
Abstract
A graph that is isomorphic to the complete bipartite graph \(K_{1,r}\) for some \(r\ge 0\) is called a star. A collection \(\mathcal {C} = \{V_1, \ldots , V_k\}\) of subsets of the vertex set of a graph \(G = (V, E)\) is called a star cover of G if each set in the collection induces a star and has \(V_1\cup \ldots \cup V_k = V\). A star cover \(\mathcal {C}\) of a graph \(G = (V, E)\) is called a star partition of G if \(\mathcal {C}\) is also a partition of V. The problem Star Cover takes a graph G as input and asks for a star cover of G of minimum size. The problem Star Partition takes a graph G as input and asks for a star partition of G of minimum size. From Shalu et al. (Discrete Appl Math 319:81–91, 2022), it follows that both these problems are NP-hard even for bipartite graphs. In this paper, we show that both Star Cover and Star Partition have \(O(n^7)\) time exact algorithms for double-split graphs. Proving that our algorithms indeed have running time \(\varOmega (n^7)\) necessitates the construction of an intricate infinite family of double-split graphs meeting several requirements. Other contributions of the paper are a simple linear time recognition algorithm for double-split graphs and a useful succinct matrix representation for double-split graphs.
期刊介绍:
The objective of Journal of Combinatorial Optimization is to advance and promote the theory and applications of combinatorial optimization, which is an area of research at the intersection of applied mathematics, computer science, and operations research and which overlaps with many other areas such as computation complexity, computational biology, VLSI design, communication networks, and management science. It includes complexity analysis and algorithm design for combinatorial optimization problems, numerical experiments and problem discovery with applications in science and engineering.
The Journal of Combinatorial Optimization publishes refereed papers dealing with all theoretical, computational and applied aspects of combinatorial optimization. It also publishes reviews of appropriate books and special issues of journals.