{"title":"On the eccentricity inertia indices of chain graphs","authors":"Jing Huang , Minjie Zhang","doi":"10.1016/j.amc.2024.129271","DOIUrl":null,"url":null,"abstract":"<div><div>For a given graph <em>G</em>, the eccentricity matrix of it, written as <span><math><mi>ε</mi><mo>(</mo><mi>G</mi><mo>)</mo></math></span>, is created by retaining the largest non-zero entries for each row and column of the distance matrix, while filling the rest with zeros, i.e.,<span><span><span><math><mi>ε</mi><msub><mrow><mo>(</mo><mi>G</mi><mo>)</mo></mrow><mrow><mi>u</mi><mi>v</mi></mrow></msub><mo>=</mo><mrow><mo>{</mo><mtable><mtr><mtd><mi>d</mi><mo>(</mo><mi>u</mi><mo>,</mo><mi>v</mi><mo>)</mo><mo>,</mo><mspace></mspace></mtd><mtd><mtext>if</mtext><mspace></mspace><mi>d</mi><mo>(</mo><mi>u</mi><mo>,</mo><mi>v</mi><mo>)</mo><mo>=</mo><mi>min</mi><mo></mo><mo>{</mo><mi>ε</mi><mo>(</mo><mi>u</mi><mo>)</mo><mo>,</mo><mi>ε</mi><mo>(</mo><mi>v</mi><mo>)</mo><mo>}</mo><mo>,</mo></mtd></mtr><mtr><mtd><mn>0</mn><mo>,</mo><mspace></mspace></mtd><mtd><mtext>otherwise</mtext><mo>,</mo></mtd></mtr></mtable></mrow></math></span></span></span> where <span><math><mi>ε</mi><mo>(</mo><mi>u</mi><mo>)</mo></math></span> denotes the eccentricity of a vertex <em>u</em>. The eccentricity inertia index of a graph <em>G</em> is represented by a triple <span><math><mo>(</mo><msub><mrow><mi>n</mi></mrow><mrow><mo>+</mo></mrow></msub><mo>(</mo><mi>ε</mi><mo>(</mo><mi>G</mi><mo>)</mo><mo>)</mo></math></span>, <span><math><msub><mrow><mi>n</mi></mrow><mrow><mn>0</mn></mrow></msub><mo>(</mo><mi>ε</mi><mo>(</mo><mi>G</mi><mo>)</mo><mo>)</mo></math></span>, <span><math><msub><mrow><mi>n</mi></mrow><mrow><mo>−</mo></mrow></msub><mo>(</mo><mi>ε</mi><mo>(</mo><mi>G</mi><mo>)</mo><mo>)</mo><mo>)</mo></math></span>, where <span><math><msub><mrow><mi>n</mi></mrow><mrow><mo>+</mo></mrow></msub><mo>(</mo><mi>ε</mi><mo>(</mo><mi>G</mi><mo>)</mo><mo>)</mo></math></span> (resp., <span><math><msub><mrow><mi>n</mi></mrow><mrow><mn>0</mn></mrow></msub><mo>(</mo><mi>ε</mi><mo>(</mo><mi>G</mi><mo>)</mo><mo>)</mo><mo>,</mo><msub><mrow><mi>n</mi></mrow><mrow><mo>−</mo></mrow></msub><mo>(</mo><mi>ε</mi><mo>(</mo><mi>G</mi><mo>)</mo><mo>)</mo></math></span>) is the count of positive (resp., zero, negative) eigenvalues of <span><math><mi>ε</mi><mo>(</mo><mi>G</mi><mo>)</mo></math></span>. In this paper, for each chain graph (a graph which does not contain <span><math><msub><mrow><mi>C</mi></mrow><mrow><mn>3</mn></mrow></msub><mo>,</mo><msub><mrow><mi>C</mi></mrow><mrow><mn>5</mn></mrow></msub></math></span>, or <span><math><mn>2</mn><msub><mrow><mi>K</mi></mrow><mrow><mn>2</mn></mrow></msub></math></span> as induced subgraphs), the eccentricity inertia index of it is completely determined.</div></div>","PeriodicalId":55496,"journal":{"name":"Applied Mathematics and Computation","volume":"493 ","pages":"Article 129271"},"PeriodicalIF":3.5000,"publicationDate":"2025-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Applied Mathematics and Computation","FirstCategoryId":"100","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S009630032400732X","RegionNum":2,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MATHEMATICS, APPLIED","Score":null,"Total":0}
引用次数: 0
Abstract
For a given graph G, the eccentricity matrix of it, written as , is created by retaining the largest non-zero entries for each row and column of the distance matrix, while filling the rest with zeros, i.e., where denotes the eccentricity of a vertex u. The eccentricity inertia index of a graph G is represented by a triple , , , where (resp., ) is the count of positive (resp., zero, negative) eigenvalues of . In this paper, for each chain graph (a graph which does not contain , or as induced subgraphs), the eccentricity inertia index of it is completely determined.
期刊介绍:
Applied Mathematics and Computation addresses work at the interface between applied mathematics, numerical computation, and applications of systems – oriented ideas to the physical, biological, social, and behavioral sciences, and emphasizes papers of a computational nature focusing on new algorithms, their analysis and numerical results.
In addition to presenting research papers, Applied Mathematics and Computation publishes review articles and single–topics issues.