The core inverse and constrained matrix approximation problem

Abstract

In this article, we study the constrained matrix approximation problem in the Frobenius norm by using the core inverse:||Mx−b||F=minsubjecttox∈ℛ(M),||Mx-b|{|}_{F}=\hspace{.25em}\min \hspace{1em}\text{subject}\hspace{.25em}\text{to}\hspace{1em}x\in {\mathcal R} (M),where M∈ℂnCMM\in {{\mathbb{C}}}_{n}^{\text{CM}}. We get the unique solution to the problem, provide two Cramer’s rules for the unique solution and establish two new expressions for the core inverse.

Keywords

• core inverse
• cramer’s rule
• constrained matrix approximation problem
• 15a24
• 15a29
• 15a57