The core inverse and constrained matrix approximation problem

In this paper,we study the constrained matrix approximation problem in the Frobenius norm by using the core inverse:\begin{align}\nonumber \left|{Mx - b} \right|_F=\min\ \ {\rm subject\ to} \ \ {x\in$\mathcal{R}$(M)} ,\end{align} where $M\in {\mathbb{C}}_n^{\mathtt{\text{CM}}}$. 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.