Let \(A\) be an \(m\times n\) matrix and let the \(n\times m\) matrix \(A'\) denote the Least Square Pseudo-Inverse of \(A\).
- State the conditions that define \(A'\).
- Show that \(A'\) always exists.
- Construct \(A'\) explicitly for the \(2\times 2\) matrix \[ A=\begin {pmatrix} 1 & 1\\ 0.5 & 0.5 \end {pmatrix}. \]