On the eccentricity inertia indices of chain graphs

IF 3.5 2区 数学 Q1 MATHEMATICS, APPLIED Applied Mathematics and Computation Pub Date : 2025-01-06 DOI:10.1016/j.amc.2024.129271
Jing Huang , Minjie Zhang
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Abstract

For a given graph G, the eccentricity matrix of it, written as ε(G), 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.,ε(G)uv={d(u,v),ifd(u,v)=min{ε(u),ε(v)},0,otherwise, where ε(u) denotes the eccentricity of a vertex u. The eccentricity inertia index of a graph G is represented by a triple (n+(ε(G)), n0(ε(G)), n(ε(G))), where n+(ε(G)) (resp., n0(ε(G)),n(ε(G))) is the count of positive (resp., zero, negative) eigenvalues of ε(G). In this paper, for each chain graph (a graph which does not contain C3,C5, or 2K2 as induced subgraphs), the eccentricity inertia index of it is completely determined.
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链图的偏心惯量指标
对于给定的图G,它的偏心矩阵,写为ε(G),通过保留距离矩阵的每一行和每一列的最大的非零条目而创建,而其余的则用零填充,即ε(G)uv={d(u,v),ifd(u,v)=min (ε(u),ε(v)},0,否则,其中ε(u)表示顶点u的偏心。图G的偏心惯量指数由三组(n+(ε(G)), n0(ε(G)), n−(ε(G))表示,其中n+(ε(G)) (resp。n0(ε(G)), n−(ε(G)))是积极的数(分别地。(0,负)ε(G)的特征值。对于每个链图(不包含C3、C5、2K2作为诱导子图的图),本文完全确定了它的偏心惯量指数。
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来源期刊
CiteScore
7.90
自引率
10.00%
发文量
755
审稿时长
36 days
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.
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