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一类矩阵方程的埃尔米特自反最小二乘解
引用本文:王江涛,张忠志,谢冬秀,雷秀仁.一类矩阵方程的埃尔米特自反最小二乘解[J].系统科学与数学,2010,30(8):1136-1147.
作者姓名:王江涛  张忠志  谢冬秀  雷秀仁
作者单位:1. 华南理工大学理学院数学系,广州510640;华南理工大学工商管理学院,广州510640
2. 东莞理工学院数学系,东莞,523808
3. 北京信息科技大学理学院,北京,100085
4. 华南理工大学理学院,广州,510640
基金项目:国家自然科学基金,北京市教学名师建设 
摘    要:利用埃尔米特自反矩阵的表示定理和矩阵的拉直方法,研究了矩阵方程$AX+BY=C$的埃尔米特自反最小二乘问题,进一步,给出了方程在埃尔米特自反矩阵集合中可解的充分必要条件,得到解的一般表达式,最后,对任意给定的一对复矩阵,得到了其相关最佳逼近问题解的表达式.

关 键 词:埃尔米特自反矩阵  矩阵拉直    矩阵方程    最小二乘解    最佳逼近.
收稿时间:2009-7-8
修稿时间:2010-7-8

THE LEAST-SQUARES SOLUTIONS WITH THE HERMITIAN-REFLEXIVE MATRIX FOR A CLASS OF MATRIX EQUATIONS
WANG Jiangtao,ZHANG Zhongzhi,XIE Dongxiu,LEI Xiuren.THE LEAST-SQUARES SOLUTIONS WITH THE HERMITIAN-REFLEXIVE MATRIX FOR A CLASS OF MATRIX EQUATIONS[J].Journal of Systems Science and Mathematical Sciences,2010,30(8):1136-1147.
Authors:WANG Jiangtao  ZHANG Zhongzhi  XIE Dongxiu  LEI Xiuren
Institution:(1) Department of Mathematics, South China University of Technology, 510640;School of Business Administration,South China University of Technology,510640;(2)Department of Mathematics,Dongguan University of Technology,523808;(3)School of Sciences,Beijing Information Science and Technology University,100085;(4)Department of Mathematics, South China University of Technology, 510640
Abstract:By means of the properties of the Hermitian-reflexive matrix and the straightened matrix, this paper considers the least-squares solutions with Hermitian-reflexive for the matrix equation $AX+BY=C.$ The necessary and sufficient condition of the solutions for the matrix equation in the sets of Hermitian-reflexive matrices and the general expression of the solution are presented. Furthermore, for any two given complex matrices, the expression of the solution for relevant optimal approximate problem is derived.
Keywords:Hermitian-reflexive matrix  straightened matrix  matrix equation  least-squares solution  optimal approximation  
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