Exact and least-squares solutions of a generalized Sylvester-transpose matrix equation over generalized quaternions

被引:0
|
作者
Jaiprasert, Janthip [1 ]
Chansangiam, Pattrawut [1 ]
机构
[1] King Mongkuts Inst Technol Ladkrabang, Sch Sci, Dept Math, Bangkok 10520, Thailand
来源
ELECTRONIC RESEARCH ARCHIVE | 2024年 / 32卷 / 04期
关键词
generalized Sylvester-transpose matrix equation; generalized quaternion matrix; minimal norm solution; least-squares solution; vector operator; Kronecker product; ITERATIVE ALGORITHM;
D O I
10.3934/era.2024126
中图分类号
O1 [数学];
学科分类号
0701 ; 070101 ;
摘要
We have considered a generalized Sylvester -transpose matrix equation AXB + CXTD = E, where A, B, C, D, and E are given rectangular matrices over a generalized quaternion skew -field, and X is an unknown matrix. We have applied certain vectorizations and real representations to transform the matrix equation into a matrix equation over the real numbers. Thus, we have investigated a solvability condition, general exact/least-squares solutions, minimal -norm solutions, and the exact/least-squares solution closest to a given matrix. The main equation included the equation AXB = E and the Sylvester -transpose equation. Our results also covered such matrix equations over the quaternions, and quaternionic linear systems.
引用
收藏
页码:2789 / 2804
页数:16
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