On Solutions of Matrix Equation $AXA^T+BYB^T=C$

Authors

  • Yuan-Bei Deng & Xi-Yan Hu

Keywords:

Matrix equation, Matrix norm, QSVD, Constrained condition, Optimal problem.

Abstract

By making use of the quotient singular value decomposition (QSVD) of a matrix pair, this paper establishes the necessary and sufficient conditions for the existence of and the expressions for the general solutions of the linear matrix equation $AXA^T+BYB^T=C$ with the unknown $X$ and $Y$, which may be both symmetric, skew-symmetric, nonnegative definite , positive definite or some cross combinations respectively. Also, the solutions of some optimal problems are derived.

Published

2018-08-15

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How to Cite

On Solutions of Matrix Equation $AXA^T+BYB^T=C$. (2018). Journal of Computational Mathematics, 23(1), 17-26. https://www.global-sci.com/index.php/JCM/article/view/11685