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矩阵方程A~TXA=D的反对称次对称最小二乘解
The least-square solution of the matrix equation A~TXA=D in anti-symmetric and persymmetric matrix
【摘要】 该文研究的问题为:给定A∈Rn×m,D∈Rm×m求X∈ASRn×n,使得‖ATXA-D‖F=min。这里ASRn×n表示全体n×n阶反对称次对称矩阵的集合,‖·‖表示Frobinius范数;利用矩阵对的标准相关分解(CCD),得到了该问题的通解表达式及矩阵方程ATXA=D有反对称次对称解的充分必要条件。
【Abstract】 <Abstrcat>This paper considers the following problem:Problem Ⅰ,given A∈R<sup>n×m,D∈(R)m×msuch that (Φ=‖ATXA-D‖F=min) where ASRn×n is the set of real n-by-n anti-symmetric and persymmetric matrices, ‖·‖ is Frobenius norm.By applying the canonical decomposition (CCD) of matrix pairs,obtained herein are the general form of the solutions of Problem Ⅰ and necessary and sufficient conditions for the existence of the solutions of anti-symmetric and persymmetric matrices about the matrix equation ATXA=D.
【关键词】 矩阵方程;
反对称次对称矩阵;
最小二乘解;
标准相关分解;
【Key words】 matrix equation; anti-symmetric and persymmetric matrix; least-square solution; canonical correlation decomposition;
【Key words】 matrix equation; anti-symmetric and persymmetric matrix; least-square solution; canonical correlation decomposition;
- 【文献出处】 合肥工业大学学报(自然科学版) ,Journal of Hefei University of Technology(Natural Science) , 编辑部邮箱 ,2005年06期
- 【分类号】O241.6
- 【被引频次】1
- 【下载频次】61