Vineet Bhatt, Manpreet Kaur, I. Ahmed M. AL-Hammadi, Sunil Kumar
{"title":"中心原理子矩阵约束下的 IEVP 解矩阵","authors":"Vineet Bhatt, Manpreet Kaur, I. Ahmed M. AL-Hammadi, Sunil Kumar","doi":"10.1155/2024/7908231","DOIUrl":null,"url":null,"abstract":"The <span><svg height=\"7.35473pt\" style=\"vertical-align:-0.3499303pt\" version=\"1.1\" viewbox=\"-0.0498162 -7.0048 17.063 7.35473\" width=\"17.063pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\"><g transform=\"matrix(.013,0,0,-0.013,0,0)\"></path></g><g transform=\"matrix(.013,0,0,-0.013,9.432,0)\"></path></g></svg><span></span><svg height=\"7.35473pt\" style=\"vertical-align:-0.3499303pt\" version=\"1.1\" viewbox=\"19.9181838 -7.0048 6.703 7.35473\" width=\"6.703pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\"><g transform=\"matrix(.013,0,0,-0.013,19.968,0)\"><use xlink:href=\"#g113-111\"></use></g></svg></span> real matrix <svg height=\"8.68572pt\" style=\"vertical-align:-0.0498209pt\" version=\"1.1\" viewbox=\"-0.0498162 -8.6359 8.15071 8.68572\" width=\"8.15071pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\"><g transform=\"matrix(.013,0,0,-0.013,0,0)\"></path></g></svg> is called centrosymmetric matrix if <span><svg height=\"10.2124pt\" style=\"vertical-align:-1.576501pt\" version=\"1.1\" viewbox=\"-0.0498162 -8.6359 19.289 10.2124\" width=\"19.289pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\"><g transform=\"matrix(.013,0,0,-0.013,0,0)\"><use xlink:href=\"#g113-81\"></use></g><g transform=\"matrix(.013,0,0,-0.013,11.658,0)\"></path></g></svg><span></span><svg height=\"10.2124pt\" style=\"vertical-align:-1.576501pt\" version=\"1.1\" viewbox=\"22.8711838 -8.6359 26.759 10.2124\" width=\"26.759pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\"><g transform=\"matrix(.013,0,0,-0.013,22.921,0)\"></path></g><g transform=\"matrix(.013,0,0,-0.013,31.072,0)\"><use xlink:href=\"#g113-81\"></use></g><g transform=\"matrix(.013,0,0,-0.013,38.315,0)\"><use xlink:href=\"#g113-83\"></use></g><g transform=\"matrix(.013,0,0,-0.013,46.466,0)\"></path></g></svg><span></span></span> where <svg height=\"8.8423pt\" style=\"vertical-align:-0.2064009pt\" version=\"1.1\" viewbox=\"-0.0498162 -8.6359 8.28119 8.8423\" width=\"8.28119pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\"><g transform=\"matrix(.013,0,0,-0.013,0,0)\"><use xlink:href=\"#g113-83\"></use></g></svg> is permutation matrix with ones on cross diagonal (bottom left to top right) and zeroes elsewhere. In this article, the solvability conditions for left and right inverse eigenvalue problem (which is special case of inverse eigenvalue problem) under the submatrix constraint for generalized centrosymmetric matrices are derived, and the general solution is also given. In addition, we provide a feasible algorithm for computing the general solution, which is proved by a numerical example.","PeriodicalId":54214,"journal":{"name":"Journal of Mathematics","volume":"24 1","pages":""},"PeriodicalIF":1.3000,"publicationDate":"2024-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A Solution Matrix by IEVP under the Central Principle Submatrix Constraints\",\"authors\":\"Vineet Bhatt, Manpreet Kaur, I. Ahmed M. AL-Hammadi, Sunil Kumar\",\"doi\":\"10.1155/2024/7908231\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The <span><svg height=\\\"7.35473pt\\\" style=\\\"vertical-align:-0.3499303pt\\\" version=\\\"1.1\\\" viewbox=\\\"-0.0498162 -7.0048 17.063 7.35473\\\" width=\\\"17.063pt\\\" xmlns=\\\"http://www.w3.org/2000/svg\\\" xmlns:xlink=\\\"http://www.w3.org/1999/xlink\\\"><g transform=\\\"matrix(.013,0,0,-0.013,0,0)\\\"></path></g><g transform=\\\"matrix(.013,0,0,-0.013,9.432,0)\\\"></path></g></svg><span></span><svg height=\\\"7.35473pt\\\" style=\\\"vertical-align:-0.3499303pt\\\" version=\\\"1.1\\\" viewbox=\\\"19.9181838 -7.0048 6.703 7.35473\\\" width=\\\"6.703pt\\\" xmlns=\\\"http://www.w3.org/2000/svg\\\" xmlns:xlink=\\\"http://www.w3.org/1999/xlink\\\"><g transform=\\\"matrix(.013,0,0,-0.013,19.968,0)\\\"><use xlink:href=\\\"#g113-111\\\"></use></g></svg></span> real matrix <svg height=\\\"8.68572pt\\\" style=\\\"vertical-align:-0.0498209pt\\\" version=\\\"1.1\\\" viewbox=\\\"-0.0498162 -8.6359 8.15071 8.68572\\\" width=\\\"8.15071pt\\\" xmlns=\\\"http://www.w3.org/2000/svg\\\" xmlns:xlink=\\\"http://www.w3.org/1999/xlink\\\"><g transform=\\\"matrix(.013,0,0,-0.013,0,0)\\\"></path></g></svg> is called centrosymmetric matrix if <span><svg height=\\\"10.2124pt\\\" style=\\\"vertical-align:-1.576501pt\\\" version=\\\"1.1\\\" viewbox=\\\"-0.0498162 -8.6359 19.289 10.2124\\\" width=\\\"19.289pt\\\" xmlns=\\\"http://www.w3.org/2000/svg\\\" xmlns:xlink=\\\"http://www.w3.org/1999/xlink\\\"><g transform=\\\"matrix(.013,0,0,-0.013,0,0)\\\"><use xlink:href=\\\"#g113-81\\\"></use></g><g transform=\\\"matrix(.013,0,0,-0.013,11.658,0)\\\"></path></g></svg><span></span><svg height=\\\"10.2124pt\\\" style=\\\"vertical-align:-1.576501pt\\\" version=\\\"1.1\\\" viewbox=\\\"22.8711838 -8.6359 26.759 10.2124\\\" width=\\\"26.759pt\\\" xmlns=\\\"http://www.w3.org/2000/svg\\\" xmlns:xlink=\\\"http://www.w3.org/1999/xlink\\\"><g transform=\\\"matrix(.013,0,0,-0.013,22.921,0)\\\"></path></g><g transform=\\\"matrix(.013,0,0,-0.013,31.072,0)\\\"><use xlink:href=\\\"#g113-81\\\"></use></g><g transform=\\\"matrix(.013,0,0,-0.013,38.315,0)\\\"><use xlink:href=\\\"#g113-83\\\"></use></g><g transform=\\\"matrix(.013,0,0,-0.013,46.466,0)\\\"></path></g></svg><span></span></span> where <svg height=\\\"8.8423pt\\\" style=\\\"vertical-align:-0.2064009pt\\\" version=\\\"1.1\\\" viewbox=\\\"-0.0498162 -8.6359 8.28119 8.8423\\\" width=\\\"8.28119pt\\\" xmlns=\\\"http://www.w3.org/2000/svg\\\" xmlns:xlink=\\\"http://www.w3.org/1999/xlink\\\"><g transform=\\\"matrix(.013,0,0,-0.013,0,0)\\\"><use xlink:href=\\\"#g113-83\\\"></use></g></svg> is permutation matrix with ones on cross diagonal (bottom left to top right) and zeroes elsewhere. In this article, the solvability conditions for left and right inverse eigenvalue problem (which is special case of inverse eigenvalue problem) under the submatrix constraint for generalized centrosymmetric matrices are derived, and the general solution is also given. In addition, we provide a feasible algorithm for computing the general solution, which is proved by a numerical example.\",\"PeriodicalId\":54214,\"journal\":{\"name\":\"Journal of Mathematics\",\"volume\":\"24 1\",\"pages\":\"\"},\"PeriodicalIF\":1.3000,\"publicationDate\":\"2024-05-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Mathematics\",\"FirstCategoryId\":\"100\",\"ListUrlMain\":\"https://doi.org/10.1155/2024/7908231\",\"RegionNum\":4,\"RegionCategory\":\"数学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"MATHEMATICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Mathematics","FirstCategoryId":"100","ListUrlMain":"https://doi.org/10.1155/2024/7908231","RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MATHEMATICS","Score":null,"Total":0}
A Solution Matrix by IEVP under the Central Principle Submatrix Constraints
The real matrix is called centrosymmetric matrix if where is permutation matrix with ones on cross diagonal (bottom left to top right) and zeroes elsewhere. In this article, the solvability conditions for left and right inverse eigenvalue problem (which is special case of inverse eigenvalue problem) under the submatrix constraint for generalized centrosymmetric matrices are derived, and the general solution is also given. In addition, we provide a feasible algorithm for computing the general solution, which is proved by a numerical example.
期刊介绍:
Journal of Mathematics is a broad scope journal that publishes original research articles as well as review articles on all aspects of both pure and applied mathematics. As well as original research, Journal of Mathematics also publishes focused review articles that assess the state of the art, and identify upcoming challenges and promising solutions for the community.