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矩阵方程AXA~T+BYB~T+AZB~T=D的(局部)对称最小二乘解
引用本文:孙庆娟,郭文彬,江春林.矩阵方程AXA~T+BYB~T+AZB~T=D的(局部)对称最小二乘解[J].烟台大学学报(自然科学与工程版),2013,26(1):4-8.
作者姓名:孙庆娟  郭文彬  江春林
作者单位:1. 聊城大学数学科学学院,山东聊城252059;潍坊市寒亭区第一中学,山东潍坊261100
2. 潍坊市寒亭区第一中学,山东潍坊,261100
基金项目:国家自然科学基金资助项目
摘    要:矩阵方程问题在结构设计、系统识别、振动理论等领域有着广泛的应用.对于任意给定的矩阵A∈Rm×n,B∈Rm×n,D∈Rm×m,本文利用奇异值分解和Kronecker积给出了矩阵方程AXAT+BYBT+AZBT=D的局部对称最小二乘解,并在一定条件下得出了方程的对称最小二乘解.

关 键 词:奇异值分解  Kronecker积  对称矩阵  最小二乘解

The Least Squares (Locally) Symmetric Solutions of the Matrix Equation AXAT + BYBT + AZBT =D
SUN Qing-juan , GUO Wen-bin , JIANG Chun-lin.The Least Squares (Locally) Symmetric Solutions of the Matrix Equation AXAT + BYBT + AZBT =D[J].Journal of Yantai University(Natural Science and Engineering edirion),2013,26(1):4-8.
Authors:SUN Qing-juan  GUO Wen-bin  JIANG Chun-lin
Institution:1. School of Mathematics Science, Liaocheng University, Liaoeheng 252059, China;2. Hanting NO. 1 Middle School in Weifang, We- ifang 261100, China)
Abstract:The matrix equation problem has been widely used in many fields such as structure design, system iden- tification, vibration theory and so on. For given matrices ,A RTM ,B ∈ R ,D ∈R , the least squares locally symmetric solutions of the matrix equation AXAT + BYBT +AZBT =D are obtained by using the singular value de- composition and the Kroneeker product of matrices. Under certain conditions, we also give the least squares sym- metric solutions of the preceding matrix equation.
Keywords:singular value decomposition  kronecker product  symmetric matrix  least squares solution
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