(a) Let A ? R<sup>n×n</sup>. Prove that, if A has n distinct eigenvalues, then their eigenvectors are linearly
independent (Hint: show it by contradiction).
(b) For a square matrix A ? R<sup>n×n</sup> that has n distinct eigenvalues, ?<sub>1</sub>, ?<sub>2</sub>,..., ?<sub>n</sub>, show that
(sI - A)<sup>-1</sup> = ?<sup>n</sup><sub>i=1</sub> 1/(s - ?<sub>i</sub>) v<sub>i</sub>w<sub>i</sub><sup>T</sup>,
where v<sub>i</sub> and w<sub>i</sub><sup>T</sup> are the right and the left eigenvectors of ?<sub>i</sub>, respectively.