{"title":"On convexity in split graphs: complexity of Steiner tree and domination","authors":"A. Mohanapriya, P. Renjith, N. Sadagopan","doi":"10.1007/s10878-024-01105-1","DOIUrl":null,"url":null,"abstract":"<p>Given a graph <i>G</i> with a terminal set <span>\\(R \\subseteq V(G)\\)</span>, the Steiner tree problem (STREE) asks for a set <span>\\(S\\subseteq V(G) {\\setminus } R\\)</span> such that the graph induced on <span>\\(S\\cup R\\)</span> is connected. A split graph is a graph which can be partitioned into a clique and an independent set. It is known that STREE is NP-complete on split graphs White et al. (Networks 15(1):109–124, 1985). To strengthen this result, we introduce convex ordering on one of the partitions (clique or independent set), and prove that STREE is polynomial-time solvable for tree-convex split graphs with convexity on clique (<i>K</i>), whereas STREE is NP-complete on tree-convex split graphs with convexity on independent set (<i>I</i>). We further strengthen our NP-complete result by establishing a dichotomy which says that for unary-tree-convex split graphs (path-convex split graphs), STREE is polynomial-time solvable, and NP-complete for binary-tree-convex split graphs (comb-convex split graphs). We also show that STREE is polynomial-time solvable for triad-convex split graphs with convexity on <i>I</i>, and circular-convex split graphs. Further, we show that STREE can be used as a framework for the dominating set problem (DS) on split graphs, and hence the classical complexity (P vs NPC) of STREE and DS is the same for all these subclasses of split graphs. Finally, from the parameterized perspective with solution size being the parameter, we show that the Steiner tree problem on split graphs is <i>W</i>[2]-hard, whereas when the parameter is treewidth, we show that the problem is fixed-parameter tractable, and if the parameter is the solution size and the maximum degree of <i>I</i> (<i>d</i>), then we show that the Steiner tree problem on split graphs has a kernel of size at most <span>\\((2d-1)k^{d-1}+k,~k=|S|\\)</span>.</p>","PeriodicalId":50231,"journal":{"name":"Journal of Combinatorial Optimization","volume":"43 1","pages":""},"PeriodicalIF":0.9000,"publicationDate":"2024-02-12","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/s10878-024-01105-1","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
Given a graph G with a terminal set \(R \subseteq V(G)\), the Steiner tree problem (STREE) asks for a set \(S\subseteq V(G) {\setminus } R\) such that the graph induced on \(S\cup R\) is connected. A split graph is a graph which can be partitioned into a clique and an independent set. It is known that STREE is NP-complete on split graphs White et al. (Networks 15(1):109–124, 1985). To strengthen this result, we introduce convex ordering on one of the partitions (clique or independent set), and prove that STREE is polynomial-time solvable for tree-convex split graphs with convexity on clique (K), whereas STREE is NP-complete on tree-convex split graphs with convexity on independent set (I). We further strengthen our NP-complete result by establishing a dichotomy which says that for unary-tree-convex split graphs (path-convex split graphs), STREE is polynomial-time solvable, and NP-complete for binary-tree-convex split graphs (comb-convex split graphs). We also show that STREE is polynomial-time solvable for triad-convex split graphs with convexity on I, and circular-convex split graphs. Further, we show that STREE can be used as a framework for the dominating set problem (DS) on split graphs, and hence the classical complexity (P vs NPC) of STREE and DS is the same for all these subclasses of split graphs. Finally, from the parameterized perspective with solution size being the parameter, we show that the Steiner tree problem on split graphs is W[2]-hard, whereas when the parameter is treewidth, we show that the problem is fixed-parameter tractable, and if the parameter is the solution size and the maximum degree of I (d), then we show that the Steiner tree problem on split graphs has a kernel of size at most \((2d-1)k^{d-1}+k,~k=|S|\).
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.