Journal
LINEAR & MULTILINEAR ALGEBRA
Volume 70, Issue 13, Pages 2569-2581Publisher
TAYLOR & FRANCIS LTD
DOI: 10.1080/03081087.2020.1806197
Keywords
Quaternion matrix equation; least-squares solution; real representation matrix; j-self-conjugate matrix; anti-j-self-conjugate matrix
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Funding
- National Natural Science Foundation of China [11801249]
- Scientific Research Foundation of Liaocheng University [318011921]
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This paper investigates the minimal norm least squares solution, j-self-conjugate least-squares solution, and anti-j-self-conjugate least-squares solution of the quaternion matrix equation. By converting the quaternion matrix into a real matrix equation, the algorithms involved only real matrices and operations. These algorithms are more convenient and efficient compared to existing results.
In this paper, we consider the quaternion matrix equation X - A (X) over capB = C, and study its minimal norm least squares solution,j-self-conjugate least-squares solution and anti-j-self-conjugate least-squares solution. By the real representation matrices of quaternion matrices, their particular structure and the properties of Frobenius norm, we convert above least-squares problems into corresponding problems of real matrix equations. The final results of the expressions only involve real matrices, and thus, the corresponding algorithms only involve real operations. Compared with the existing results, they are more convenient and efficient, which are also illustrated by the last two numerical examples.
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