{"title":"On minimum t-claw deletion in split graphs","authors":"Sounaka Mishra","doi":"10.1007/s00236-025-00482-2","DOIUrl":null,"url":null,"abstract":"<div><p>For <span>\\(t\\ge 3\\)</span>, <span>\\(K_{1, t}\\)</span> is called <i>t</i>-claw. A graph <span>\\(G=(V, E)\\)</span> is <i>t</i>-claw free if it does not contain <i>t</i>-claw as a vertex-induced subgraph. In minimum <i>t</i>-claw deletion problem (<span>Min-</span><i>t</i>-<span>Claw-Del</span>), given a graph <span>\\(G=(V, E)\\)</span>, it is required to find a vertex set <i>S</i> of minimum size such that <span>\\(G[V\\setminus S]\\)</span> is <i>t</i>-claw free. In a split graph, the vertex set is partitioned into two sets such that one forms a clique and the other forms an independent set. Every <i>t</i>-claw in a split graph has a center vertex in the clique partition. This observation motivates us to consider the minimum one-sided bipartite <i>t</i>-claw deletion problem (<span>Min-</span><i>t</i><span>-OSBCD</span>). Given a bipartite graph <span>\\(G=(A \\cup B, E)\\)</span>, in <span>Min-</span><i>t</i><span>-OSBCD</span> it is asked to find a vertex set <i>S</i> of minimum size such that <span>\\(G[(A \\cup B) {\\setminus } S]\\)</span> has no <i>t</i>-claw with the center vertex in <i>A</i>. A primal-dual algorithm approximates <span>Min-</span><i>t</i><span>-OSBCD</span> within a factor of <i>t</i>. We prove that it is <span>\\({\\textsf{UGC}}\\)</span>-hard to approximate with a factor better than <i>t</i>. We also prove it is approximable within a factor of 2 for dense bipartite graphs. By using these results on <span>Min-</span><i>t</i><span>-OSBCD</span>, we prove that <span>Min-</span><i>t</i>-<span>Claw-Del</span> is <span>\\({\\textsf{UGC}}\\)</span>-hard to approximate within a factor better than <i>t</i>, for split graphs. We also consider their complementary maximization problems and prove that they are <span>\\({\\textsf{APX}}\\)</span>-complete.</p></div>","PeriodicalId":7189,"journal":{"name":"Acta Informatica","volume":"62 1","pages":""},"PeriodicalIF":0.4000,"publicationDate":"2025-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Acta Informatica","FirstCategoryId":"94","ListUrlMain":"https://link.springer.com/article/10.1007/s00236-025-00482-2","RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}
引用次数: 0
Abstract
For \(t\ge 3\), \(K_{1, t}\) is called t-claw. A graph \(G=(V, E)\) is t-claw free if it does not contain t-claw as a vertex-induced subgraph. In minimum t-claw deletion problem (Min-t-Claw-Del), given a graph \(G=(V, E)\), it is required to find a vertex set S of minimum size such that \(G[V\setminus S]\) is t-claw free. In a split graph, the vertex set is partitioned into two sets such that one forms a clique and the other forms an independent set. Every t-claw in a split graph has a center vertex in the clique partition. This observation motivates us to consider the minimum one-sided bipartite t-claw deletion problem (Min-t-OSBCD). Given a bipartite graph \(G=(A \cup B, E)\), in Min-t-OSBCD it is asked to find a vertex set S of minimum size such that \(G[(A \cup B) {\setminus } S]\) has no t-claw with the center vertex in A. A primal-dual algorithm approximates Min-t-OSBCD within a factor of t. We prove that it is \({\textsf{UGC}}\)-hard to approximate with a factor better than t. We also prove it is approximable within a factor of 2 for dense bipartite graphs. By using these results on Min-t-OSBCD, we prove that Min-t-Claw-Del is \({\textsf{UGC}}\)-hard to approximate within a factor better than t, for split graphs. We also consider their complementary maximization problems and prove that they are \({\textsf{APX}}\)-complete.
期刊介绍:
Acta Informatica provides international dissemination of articles on formal methods for the design and analysis of programs, computing systems and information structures, as well as related fields of Theoretical Computer Science such as Automata Theory, Logic in Computer Science, and Algorithmics.
Topics of interest include:
• semantics of programming languages
• models and modeling languages for concurrent, distributed, reactive and mobile systems
• models and modeling languages for timed, hybrid and probabilistic systems
• specification, program analysis and verification
• model checking and theorem proving
• modal, temporal, first- and higher-order logics, and their variants
• constraint logic, SAT/SMT-solving techniques
• theoretical aspects of databases, semi-structured data and finite model theory
• theoretical aspects of artificial intelligence, knowledge representation, description logic
• automata theory, formal languages, term and graph rewriting
• game-based models, synthesis
• type theory, typed calculi
• algebraic, coalgebraic and categorical methods
• formal aspects of performance, dependability and reliability analysis
• foundations of information and network security
• parallel, distributed and randomized algorithms
• design and analysis of algorithms
• foundations of network and communication protocols.