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AN ITERATIVE ALGORITHM FOR SOLVING A CLASS OF GENERALIZED COUPLED SYLVESTER-TRANSPOSE MATRIX EQUATIONS OVER BISYMMETRIC OR SKEW-ANTI-SYMMETRIC MATRICES
Author(s) -
Changfeng Ma,
Tongxin Yan
Publication year - 2020
Publication title -
journal of applied analysis and computation
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.55
H-Index - 21
eISSN - 2158-5644
pISSN - 2156-907X
DOI - 10.11948/20190184
Subject(s) - transpose , mathematics , sylvester's law of inertia , sylvester matrix , skew symmetric matrix , gaussian elimination , class (philosophy) , algebra over a field , matrix (chemical analysis) , pure mathematics , algorithm , symmetric matrix , mathematical analysis , computer science , square matrix , matrix polynomial , gaussian , polynomial matrix , artificial intelligence , eigenvalues and eigenvectors , physics , materials science , quantum mechanics , polynomial , composite material
This paper presents an iterative algorithm to solve a class of generalized coupled Sylvester-transpose matrix equations over bisymmetric or skew-anti-symmetric matrices. When the matrix equations are consistent, the bisymmetric or skew-anti-symmetric solutions can be obtained within finite iteration steps in the absence of round-off errors for any initial bisymmetric or skew-anti-symmetric matrices by the proposed iterative algorithm. In addition, we can obtain the least norm solution by choosing the special initial matrices. Finally, numerical examples are given to demonstrate the iterative algorithm is quite efficient. The merit of our method is that it is easy to implement.

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