Determination of a Special Case of Symmetric Matrices and Their Applications

Ognyan Ivanov Zhelezov
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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.
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对称矩阵的一种特殊情况的确定及其应用
本文给出了对称矩阵的一种特殊情况,即由给定n维向量XIRn, n=2m, mIN的元素构成的转置矩阵(Tr矩阵)。证明了Tr矩阵是对称的和过对称的。提出了以Tr矩阵与Hadamard矩阵的Hadamard积作为2、4、8维相互正交的转置矩阵(Trs矩阵)的算法,并研究了其在QR分解和n维旋转矩阵生成中的应用。对该算法的测试和分析表明,与获得相同大小的householder矩阵相比,获得大小为4和8的正交Trs矩阵所需的处理时间更少,该正交Trs矩阵将给定向量旋转到其中一个坐标轴的方向。这使得Tr和Trs矩阵在矩阵计算中很有用。
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