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矩阵半张量积在求解四元数线性系统中的应用
引用本文:韦安丽,李 莹,赵建立,丁文旭.矩阵半张量积在求解四元数线性系统中的应用[J].华中师范大学学报(自然科学版),2022,56(6):935-941.
作者姓名:韦安丽  李 莹  赵建立  丁文旭
作者单位:(聊城大学矩阵半张量积理论与应用研究中心, 山东 聊城 252000)
摘    要:近年来,矩阵半张量积被广泛应用于布尔网络、混合值逻辑网络、电力系统非线性鲁棒稳定控制代数问题等的分析与控制.该文提出了它在四元数线性系统中的一种新的应用.利用矩阵半张量积、四元数矩阵的实向量表示和四元数三对角Hermitian(反Hermitian)矩阵的特殊结构,得到了四元数矩阵方程(AXB,CXD)=(E,F)的最小二乘三对角Hermitian(反Hermitian)解的表达式.给出了四元数矩阵方程相容的充要条件以及在相容条件下的通解表达式.还给出了数值算法,并通过实验验证了该方法的有效性.

关 键 词:矩阵半张量积  换位矩阵  四元数线性系统  三对角Hermitian(反Hermitian)矩阵  实向量表示  
收稿时间:2022-12-12

Application of semi-tensor product of matrices in solving quaternion linear system
WEI Anli,LI Ying,ZHAO Jianli,DING Wenxu.Application of semi-tensor product of matrices in solving quaternion linear system[J].Journal of Central China Normal University(Natural Sciences),2022,56(6):935-941.
Authors:WEI Anli  LI Ying  ZHAO Jianli  DING Wenxu
Institution:(School of Mathematical Sciences Research Center of Semi-tensor Product of Matrices: Theory and Applications,Liaocheng University, Liaocheng 252000, Shandong, China)
Abstract:In recent years, the semi-tensor product of matrices is widely applied to the analysis and control of Boolean network, mix-valued logical network, power system nonlinear robust stability control algebra problem and so on. In this paper, a new kind of applications in quaternion linear system is proposed. By using semi-tensor product, a real vector representation of quaternion, and the special structure of quaternion tridiagonal Hermitian (Anti-Hermitian) matrix, the expression of the least squares tridiagonal Hermitian (Anti-Hermitian) solution of (AXB,CXD)=(E,F) is obtained. As the special case, the equivalent condition for the compatibility of the quaternion matrix equation and the expression of general solutions under the compatibility conditions are given. In addition, the numerical algorithm and experiment are given to verify the effectiveness of this application.
Keywords:semi-tensor product of matrices  swap matrix  quaternion linear system  tridiagonal Hermitian (Anti-Hermitian) matrix  real vector representation  
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