期刊
COMPUTATIONAL & APPLIED MATHEMATICS
卷 31, 期 2, 页码 353-371出版社
SPRINGER HEIDELBERG
DOI: 10.1590/S1807-03022012000200008
关键词
iterative algorithm; matrix equation; reflexive matrix; anti-reflexive matrix
An n x n real matrix P is said to be a generalized reflection matrix if P-T = P and P-2 = I (where P-T is the transpose of P). A matrix A is an element of R-nxn is said to be a reflexive (anti-reflexive) matrix with respect to the generalized reflection matrix P if A = PAP (A = -PAP). The reflexive and anti-reflexive matrices have wide applications in many fields. In this article, two iterative algorithms are proposed to solve the coupled matrix equations {A(1)XB(1) + (C1XD1)-D-T = M-1, A(2)XB(2) + (C2XD2)-D-T = M-2, over reflexive and anti-reflexive matrices, respectively. We prove that the first (second) algorithm converges to the reflexive (anti-reflexive) solution of the coupled matrix equations for any initial reflexive (anti-reflexive) matrix. Finally two numerical examples are used to illustrate the efficiency of the proposed algorithms.
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