Let $A$ be an $n\times n$ matrix. For each $w∈\Bbb R$, we define a linear transformation $T_w:\Bbb R^n\to\Bbb R^n$ such that $T_w(u) = Au - wu$ for $u∈\Bbb R^n$.
a) Write down the standard matrix for $T_w$.
b) For any $w$, $l∈\Bbb R$, show that $(A-wI)(A-lI) = (A-lI)(A-wI)$.
c) Suppose $A$ is diagonalizable and the eigenvalues of $A$ are $w_1$, $w_2$, ... , $w_k$. If $v$ is an eigenvector of A, say $Av=w_iv$ for some $i$, show that $(A-w_1I)(A-w_2I)...(A-w_kI)v=0$.
What I have done so far: By letting $A$ = $$ \left[ \begin{array}{cccc} a_{11}&a_{12}&\cdots&a_{1n}\\ a_{21}&a_{22}&\cdots&a_{2n}\\ \vdots&\vdots&\ddots&\vdots\\ a_{n1}&a_{n2}&\cdots&a_{nn} \end{array} \right] $$, standard matrix = $(A-wI)$. However, I am not quite sure how to proceed from here to parts b and c. Do I prove part b by applying matrix multiplication manually, or is there another way to do it?
Your answer to part a is correct. For part b note that $Aw=wA$ and $Al=lA$; expanding both sides of the given equation then quickly shows that they are indeed equal.