Relations between least-squares and least-rank solutions of the matrix equation AXB=C

作者:

Highlights:

摘要

A matrix X is called a least-squares solution of the matrix equation AXB=C if it minimizes the F-norm of C-AXB, a least-rank solution of AXB=C if it minimizes the rank of C-AXB. These two types of solution are not necessarily the same. In this paper, we establish necessary and sufficient conditions for the two types of solutions to coincide by using some matrix rank formulas and nested decompositions of matrices.

论文关键词:Matrix equation,Least-squares solution,Least-rank solution,Moore–Penrose inverse,Matrix decomposition,Rank formula

论文评审过程:Available online 3 May 2013.

论文官网地址:https://doi.org/10.1016/j.amc.2013.03.137