{"title":"The spectral radius of Steiner distance hypermatrices of graphs","authors":"Zhibin Du","doi":"10.1016/j.laa.2025.05.014","DOIUrl":null,"url":null,"abstract":"<div><div>Let <em>G</em> be an <em>n</em>-vertex connected graph with vertex set <span><math><mi>V</mi><mo>(</mo><mi>G</mi><mo>)</mo></math></span>. Given a collection of <em>k</em> vertices (not necessarily distinct, which can be regarded as a tuple), say <span><math><mi>S</mi><mo>∈</mo><mi>V</mi><msup><mrow><mo>(</mo><mi>G</mi><mo>)</mo></mrow><mrow><mi>k</mi></mrow></msup></math></span>, the Steiner distance <span><math><msub><mrow><mi>d</mi></mrow><mrow><mi>G</mi></mrow></msub><mo>(</mo><mi>S</mi><mo>)</mo></math></span> is defined as the fewest number of edges in any connected subgraph of <em>G</em> containing all the vertices in <em>S</em>. The Steiner distance would be reduced to the classical distance of two vertices in the case of <span><math><mi>k</mi><mo>=</mo><mn>2</mn></math></span>. Accordingly, one can generalize the distance matrix (with <span><math><mi>k</mi><mo>=</mo><mn>2</mn></math></span>) to the order-<em>k</em> hypermatrix, called Steiner distance hypermatrix, in which each entry is the Steiner distance of an <em>n</em>-dimensional array indexed by <em>k</em> vertices (not necessarily distinct). Very recently, Cooper and Tauscheck extended the classical Graham-Pollak theorem from the determinant of distance matrices of trees to the hyperdeterminant of Steiner distance hypermatrices of trees. In this paper, we consider the spectral radius of Steiner distance hypermatrices of general graphs, some extremal results are obtained.</div></div>","PeriodicalId":18043,"journal":{"name":"Linear Algebra and its Applications","volume":"722 ","pages":"Pages 276-295"},"PeriodicalIF":1.1000,"publicationDate":"2025-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Linear Algebra and its Applications","FirstCategoryId":"100","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0024379525002265","RegionNum":3,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MATHEMATICS","Score":null,"Total":0}
引用次数: 0
Abstract
Let G be an n-vertex connected graph with vertex set . Given a collection of k vertices (not necessarily distinct, which can be regarded as a tuple), say , the Steiner distance is defined as the fewest number of edges in any connected subgraph of G containing all the vertices in S. The Steiner distance would be reduced to the classical distance of two vertices in the case of . Accordingly, one can generalize the distance matrix (with ) to the order-k hypermatrix, called Steiner distance hypermatrix, in which each entry is the Steiner distance of an n-dimensional array indexed by k vertices (not necessarily distinct). Very recently, Cooper and Tauscheck extended the classical Graham-Pollak theorem from the determinant of distance matrices of trees to the hyperdeterminant of Steiner distance hypermatrices of trees. In this paper, we consider the spectral radius of Steiner distance hypermatrices of general graphs, some extremal results are obtained.
期刊介绍:
Linear Algebra and its Applications publishes articles that contribute new information or new insights to matrix theory and finite dimensional linear algebra in their algebraic, arithmetic, combinatorial, geometric, or numerical aspects. It also publishes articles that give significant applications of matrix theory or linear algebra to other branches of mathematics and to other sciences. Articles that provide new information or perspectives on the historical development of matrix theory and linear algebra are also welcome. Expository articles which can serve as an introduction to a subject for workers in related areas and which bring one to the frontiers of research are encouraged. Reviews of books are published occasionally as are conference reports that provide an historical record of major meetings on matrix theory and linear algebra.