{"title":"度距矩阵和传输捷径矩阵","authors":"Carlos A. Alfaro, Octavio Zapata","doi":"10.1007/s40314-024-02870-9","DOIUrl":null,"url":null,"abstract":"<p>Let <i>G</i> be a connected graph with adjacency matrix <i>A</i>(<i>G</i>) and distance matrix <i>D</i>(<i>G</i>). Let <span>\\({{\\,\\textrm{dist}\\,}}(u,v)\\)</span> denote the distance between the pair of vertices <span>\\(u,v\\in V(G)\\)</span>, then the transmission <span>\\({{\\,\\textrm{trs}\\,}}(u)\\)</span> of vertex <i>u</i> is defined as <span>\\(\\sum _{v\\in V(G)}{{\\,\\textrm{dist}\\,}}(u,v)\\)</span>. Let <span>\\({{\\,\\textrm{trs}\\,}}(G)\\)</span> be the diagonal matrix whose diagonal elements are the transmissions of the vertices of <i>G</i>. And, let <span>\\(\\deg (G)\\)</span> be the diagonal matrix whose diagonal elements are the degrees of the vertices of <i>G</i>. In this paper we investigate the Smith normal form (SNF) and the spectrum of the matrices <span>\\(D^{\\deg }_+(G):=\\deg (G)+D(G)\\)</span>, <span>\\(D^{\\deg }(G):=\\deg (G)-D(G)\\)</span>, <span>\\(A^{{{\\,\\textrm{trs}\\,}}}_+(G):={{\\,\\textrm{trs}\\,}}(G)+A(G)\\)</span> and <span>\\(A^{{{\\,\\textrm{trs}\\,}}}(G):={{\\,\\textrm{trs}\\,}}(G)-A(G)\\)</span>. 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 <span>\\(A^{{{\\,\\textrm{trs}\\,}}}\\)</span> has an interesting behaviour when compared with other classical matrices. We note that the SNF of <span>\\(A^{{{\\,\\textrm{trs}\\,}}}\\)</span> can be used to compute the structure of the sandpile group of certain graphs. We compute the SNF of <span>\\(D^{\\deg }_+\\)</span>, <span>\\(D^{\\deg }\\)</span>, <span>\\(A^{{{\\,\\textrm{trs}\\,}}}_+\\)</span> and <span>\\(A^{{{\\,\\textrm{trs}\\,}}}\\)</span> for several graph families. We prove that the SNF of <span>\\(D^{\\deg }_+\\)</span>, <span>\\(D^{\\deg }\\)</span>, <span>\\(A^{{{\\,\\textrm{trs}\\,}}}_+\\)</span> and <span>\\(A^{{{\\,\\textrm{trs}\\,}}}\\)</span> determine complete graphs. Finally, we derive some results about the spectrum of <span>\\(D^{\\deg }\\)</span> and <span>\\(A^{{{\\,\\textrm{trs}\\,}}}\\)</span>.</p>","PeriodicalId":51278,"journal":{"name":"Computational and Applied Mathematics","volume":"19 1","pages":""},"PeriodicalIF":2.6000,"publicationDate":"2024-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The degree-distance and transmission-adjacency matrices\",\"authors\":\"Carlos A. Alfaro, Octavio Zapata\",\"doi\":\"10.1007/s40314-024-02870-9\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>Let <i>G</i> be a connected graph with adjacency matrix <i>A</i>(<i>G</i>) and distance matrix <i>D</i>(<i>G</i>). Let <span>\\\\({{\\\\,\\\\textrm{dist}\\\\,}}(u,v)\\\\)</span> denote the distance between the pair of vertices <span>\\\\(u,v\\\\in V(G)\\\\)</span>, then the transmission <span>\\\\({{\\\\,\\\\textrm{trs}\\\\,}}(u)\\\\)</span> of vertex <i>u</i> is defined as <span>\\\\(\\\\sum _{v\\\\in V(G)}{{\\\\,\\\\textrm{dist}\\\\,}}(u,v)\\\\)</span>. Let <span>\\\\({{\\\\,\\\\textrm{trs}\\\\,}}(G)\\\\)</span> be the diagonal matrix whose diagonal elements are the transmissions of the vertices of <i>G</i>. And, let <span>\\\\(\\\\deg (G)\\\\)</span> be the diagonal matrix whose diagonal elements are the degrees of the vertices of <i>G</i>. In this paper we investigate the Smith normal form (SNF) and the spectrum of the matrices <span>\\\\(D^{\\\\deg }_+(G):=\\\\deg (G)+D(G)\\\\)</span>, <span>\\\\(D^{\\\\deg }(G):=\\\\deg (G)-D(G)\\\\)</span>, <span>\\\\(A^{{{\\\\,\\\\textrm{trs}\\\\,}}}_+(G):={{\\\\,\\\\textrm{trs}\\\\,}}(G)+A(G)\\\\)</span> and <span>\\\\(A^{{{\\\\,\\\\textrm{trs}\\\\,}}}(G):={{\\\\,\\\\textrm{trs}\\\\,}}(G)-A(G)\\\\)</span>. 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 <span>\\\\(A^{{{\\\\,\\\\textrm{trs}\\\\,}}}\\\\)</span> has an interesting behaviour when compared with other classical matrices. We note that the SNF of <span>\\\\(A^{{{\\\\,\\\\textrm{trs}\\\\,}}}\\\\)</span> can be used to compute the structure of the sandpile group of certain graphs. We compute the SNF of <span>\\\\(D^{\\\\deg }_+\\\\)</span>, <span>\\\\(D^{\\\\deg }\\\\)</span>, <span>\\\\(A^{{{\\\\,\\\\textrm{trs}\\\\,}}}_+\\\\)</span> and <span>\\\\(A^{{{\\\\,\\\\textrm{trs}\\\\,}}}\\\\)</span> for several graph families. We prove that the SNF of <span>\\\\(D^{\\\\deg }_+\\\\)</span>, <span>\\\\(D^{\\\\deg }\\\\)</span>, <span>\\\\(A^{{{\\\\,\\\\textrm{trs}\\\\,}}}_+\\\\)</span> and <span>\\\\(A^{{{\\\\,\\\\textrm{trs}\\\\,}}}\\\\)</span> determine complete graphs. Finally, we derive some results about the spectrum of <span>\\\\(D^{\\\\deg }\\\\)</span> and <span>\\\\(A^{{{\\\\,\\\\textrm{trs}\\\\,}}}\\\\)</span>.</p>\",\"PeriodicalId\":51278,\"journal\":{\"name\":\"Computational and Applied Mathematics\",\"volume\":\"19 1\",\"pages\":\"\"},\"PeriodicalIF\":2.6000,\"publicationDate\":\"2024-08-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Computational and Applied Mathematics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1007/s40314-024-02870-9\",\"RegionNum\":3,\"RegionCategory\":\"数学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computational and Applied Mathematics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1007/s40314-024-02870-9","RegionNum":3,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The degree-distance and transmission-adjacency matrices
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 \(A^{{{\,\textrm{trs}\,}}}\).
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.