The degree-distance and transmission-adjacency matrices

Carlos A. Alfaro, Octavio Zapata
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Abstract

Let G be a connected graph with adjacency matrix A(G) and distance matrix D(G). Let \({{\,\textrm{dist}\,}}(u,v)\) denote the distance between the pair of vertices \(u,v\in V(G)\), then the transmission \({{\,\textrm{trs}\,}}(u)\) of vertex u is defined as \(\sum _{v\in V(G)}{{\,\textrm{dist}\,}}(u,v)\). Let \({{\,\textrm{trs}\,}}(G)\) be the diagonal matrix whose diagonal elements are the transmissions of the vertices of G. And, let \(\deg (G)\) be the diagonal matrix whose diagonal elements are the degrees of the vertices of G. In this paper we investigate the Smith normal form (SNF) and the spectrum of the matrices \(D^{\deg }_+(G):=\deg (G)+D(G)\), \(D^{\deg }(G):=\deg (G)-D(G)\), \(A^{{{\,\textrm{trs}\,}}}_+(G):={{\,\textrm{trs}\,}}(G)+A(G)\) and \(A^{{{\,\textrm{trs}\,}}}(G):={{\,\textrm{trs}\,}}(G)-A(G)\). In particular, we explore how good the SNF and the spectrum of these matrices are for determining graphs up to isomorphism. We found that the SNF of \(A^{{{\,\textrm{trs}\,}}}\) has an interesting behaviour when compared with other classical matrices. We note that the SNF of \(A^{{{\,\textrm{trs}\,}}}\) can be used to compute the structure of the sandpile group of certain graphs. We compute the SNF of \(D^{\deg }_+\), \(D^{\deg }\), \(A^{{{\,\textrm{trs}\,}}}_+\) and \(A^{{{\,\textrm{trs}\,}}}\) for several graph families. We prove that the SNF of \(D^{\deg }_+\), \(D^{\deg }\), \(A^{{{\,\textrm{trs}\,}}}_+\) and \(A^{{{\,\textrm{trs}\,}}}\) determine complete graphs. Finally, we derive some results about the spectrum of \(D^{\deg }\) and \(A^{{{\,\textrm{trs}\,}}}\).

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度距矩阵和传输捷径矩阵
让 G 是一个连通图,具有邻接矩阵 A(G) 和距离矩阵 D(G)。让 \({{\,\textrm{dist}\,}}(u,v)\) 表示 V(G)\ 中一对顶点 \(u,v\) 之间的距离、那么顶点 u 的传输 \({{\textrm{trs}\,}}(u)\) 定义为 \(\sum _{v\in V(G)}{{\textrm{dist}\,}}(u,v)\).让 \({{\,textrm{trs}\,}}(G)\) 成为对角矩阵,其对角元素是 G 的顶点的传输量;让 \(\deg (G)\) 成为对角矩阵,其对角元素是 G 的顶点的度数。本文将研究矩阵 \(D^{\deg }_+(G):=\deg (G)+D(G)\), \(D^{\deg }(G):=\deg (G)-D(G)\), \(A^{{{\,\textrm{trs}\,}}}_+(G):={{\,\textrm{trs}\,}}(G)+A(G)\) and \(A^{{{\,\textrm{trs}\,}}}(G):={{\,\textrm{trs}\,}}(G)-A(G)\).我们特别探讨了这些矩阵的 SNF 和频谱在确定图的同构性方面有多好。我们发现,与其他经典矩阵相比,A^{{\,\textrm{trs}\,}}\的 SNF 具有有趣的行为。我们注意到 \(A^{{\,\textrm{trs}\,}}} 的 SNF 可以用来计算某些图的沙堆群结构。我们为几个图族计算了 \(D^{\deg }_+\), \(D^{\deg }\), \(A^{{\,\textrm{trs},}}_+\) 和 \(A^{{\,\textrm{trs},}}\) 的 SNF。我们证明了 \(D^{\deg }_+\), \(D^{\deg }\), \(A^{{\,\textrm{trs},}}_+\) 和\(A^{{\,\textrm{trs},}}\) 的 SNF 决定了完整图。最后,我们推导出一些关于 \(D^{\deg }\) 和 \(A^{{\textrm{trs}\,}}} 的谱的结果。
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11.50%
发文量
352
期刊介绍: Computational & Applied Mathematics began to be published in 1981. This journal was conceived as the main scientific publication of SBMAC (Brazilian Society of Computational and Applied Mathematics). The objective of the journal is the publication of original research in Applied and Computational Mathematics, with interfaces in Physics, Engineering, Chemistry, Biology, Operations Research, Statistics, Social Sciences and Economy. The journal has the usual quality standards of scientific international journals and we aim high level of contributions in terms of originality, depth and relevance.
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