Let \(A\in \mathbb {R}^{n\times m}\), \(B\in \mathbb {R}^{r\times m}\), and \(b\in \mathbb {R}^n\) be given. Assume \(R(B^*)=N(A)\). For fixed \(\mu \ge 0\), consider the problem \[ \min _{x\in \mathbb {R}^m} \|Ax-b\|_2^2+\mu \|Bx\|_2^2. \]
- Find the necessary conditions (analogous to the normal equations for the standard least-squares problem) and prove that the necessary conditions have a solution when \(\mu =0\).
- Prove that the necessary conditions have a unique solution if \(\mu >0\).