{"title":"Towards transitive-free digraphs","authors":"Ankit Abhinav , Satyabrata Jana , Abhishek Sahu","doi":"10.1016/j.tcs.2025.115270","DOIUrl":null,"url":null,"abstract":"<div><div>In a digraph <em>D</em>, an arc <span><math><mi>e</mi><mo>=</mo><mo>(</mo><mi>x</mi><mo>,</mo><mi>y</mi><mo>)</mo></math></span> in <em>D</em> is considered transitive if there is a path from <em>x</em> to <em>y</em> in <span><math><mi>D</mi><mo>−</mo><mi>e</mi></math></span>. A digraph is transitive-free if it does not contain any transitive arc. In the <span>Transitive-free Vertex Deletion</span> (TVD) problem, the goal is to find at most <em>k</em> vertices <em>S</em> such that <span><math><mi>D</mi><mo>−</mo><mi>S</mi></math></span> has no transitive arcs. In our work, we study a more general version of the TVD problem, denoted by <em>ℓ</em><span>-Relaxed Transitive-free Vertex Deletion</span> (<em>ℓ</em><span>-RTVD</span>), where we look for at most <em>k</em> vertices <em>S</em> such that <span><math><mi>D</mi><mo>−</mo><mi>S</mi></math></span> has no more than <em>ℓ</em> transitive arcs. We explore <em>ℓ</em><span>-RTVD</span> on various well-known graph classes of digraphs such as directed acyclic graphs (DAGs), planar DAGs, <em>α</em>-bounded digraphs, tournaments, and their multiple generalizations such as in-tournaments, out-tournaments, local tournaments, acyclic local tournaments, and obtain the following results. Although the problem admits polynomial-time algorithms in tournaments, <em>α</em>-bounded digraphs, and acyclic local tournaments for fixed values of <em>ℓ</em>, it remains <span><math><mtext>NP</mtext></math></span>-Hard even in planar DAGs with maximum degree 6. In the parameterized realm, for <em>ℓ</em><span>-RTVD</span> on in-tournaments and out-tournaments, we obtain polynomial kernels parameterized by <span><math><mi>k</mi><mo>+</mo><mi>ℓ</mi></math></span> for bounded independence number. But the problem remains fixed-parameter intractable on DAGs when parameterized by <em>k</em>.</div></div>","PeriodicalId":49438,"journal":{"name":"Theoretical Computer Science","volume":"1044 ","pages":"Article 115270"},"PeriodicalIF":0.9000,"publicationDate":"2025-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Theoretical Computer Science","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0304397525002087","RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"COMPUTER SCIENCE, THEORY & METHODS","Score":null,"Total":0}
引用次数: 0
Abstract
In a digraph D, an arc in D is considered transitive if there is a path from x to y in . A digraph is transitive-free if it does not contain any transitive arc. In the Transitive-free Vertex Deletion (TVD) problem, the goal is to find at most k vertices S such that has no transitive arcs. In our work, we study a more general version of the TVD problem, denoted by ℓ-Relaxed Transitive-free Vertex Deletion (ℓ-RTVD), where we look for at most k vertices S such that has no more than ℓ transitive arcs. We explore ℓ-RTVD on various well-known graph classes of digraphs such as directed acyclic graphs (DAGs), planar DAGs, α-bounded digraphs, tournaments, and their multiple generalizations such as in-tournaments, out-tournaments, local tournaments, acyclic local tournaments, and obtain the following results. Although the problem admits polynomial-time algorithms in tournaments, α-bounded digraphs, and acyclic local tournaments for fixed values of ℓ, it remains -Hard even in planar DAGs with maximum degree 6. In the parameterized realm, for ℓ-RTVD on in-tournaments and out-tournaments, we obtain polynomial kernels parameterized by for bounded independence number. But the problem remains fixed-parameter intractable on DAGs when parameterized by k.
期刊介绍:
Theoretical Computer Science is mathematical and abstract in spirit, but it derives its motivation from practical and everyday computation. Its aim is to understand the nature of computation and, as a consequence of this understanding, provide more efficient methodologies. All papers introducing or studying mathematical, logic and formal concepts and methods are welcome, provided that their motivation is clearly drawn from the field of computing.