{"title":"Determination of a Special Case of Symmetric Matrices and Their Applications","authors":"Ognyan Ivanov Zhelezov","doi":"10.9734/BPI/CTMCS/V6/3302F","DOIUrl":null,"url":null,"abstract":"This article presents a special case of symmetric matrices, matrices of transpositions (Tr matrices) that are created from the elements of given n-dimensional vector XIRn, n=2m, mIN. Has been proved that Tr matrices are symmetric and persymmetric. Has been proposed algorithm for obtaining matrices of transpositions with mutually orthogonal rows (Trs matrices) of dimensions 2, 4, and 8 as Hadamard product of Tr matrix and matrix of Hadamard and has been investigated their application for QR decomposition and n-dimensional rotation matrix generation. Tests and analysis of the algorithm show that obtaining an orthogonal Trs matrix of sizes 4 and 8 that rotates a given vector to the direction of one of the coordinate axes requires less processing time than obtaining a Housholder matrix of the same size. This makes the Tr and Trs matrices useful in matrix calculations.","PeriodicalId":364643,"journal":{"name":"Current Topics on Mathematics and Computer Science Vol. 6","volume":"1071 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Current Topics on Mathematics and Computer Science Vol. 6","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.9734/BPI/CTMCS/V6/3302F","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
This article presents a special case of symmetric matrices, matrices of transpositions (Tr matrices) that are created from the elements of given n-dimensional vector XIRn, n=2m, mIN. Has been proved that Tr matrices are symmetric and persymmetric. Has been proposed algorithm for obtaining matrices of transpositions with mutually orthogonal rows (Trs matrices) of dimensions 2, 4, and 8 as Hadamard product of Tr matrix and matrix of Hadamard and has been investigated their application for QR decomposition and n-dimensional rotation matrix generation. Tests and analysis of the algorithm show that obtaining an orthogonal Trs matrix of sizes 4 and 8 that rotates a given vector to the direction of one of the coordinate axes requires less processing time than obtaining a Housholder matrix of the same size. This makes the Tr and Trs matrices useful in matrix calculations.