Suppose that the $2 \times 2$ matrix $A$ has the characteristic polynomial $p(\lambda) = (\lambda + 1)(\lambda + 2).$ Show that $ A − A^2$ is invertible and determine the eigenvalues to the inverse.
So this is how I tried.
$p(\lambda)=0$ gives me that $\lambda_1 = -1$ and $\lambda_2 = -2$ This means that we have at least two linearly independent vectors which means that the matrix $A$ is diagonalizable. So we have: $A = PDP^{-1}$ $A - A^2 = PDP^{-1} - PDP^{-1} PDP^{-1} = PDP^{-1} - PD^2 P^{-1} = P(D - D^2) P^{-1} $
$D = ([-1, 0]^T , [0, -2]^T)$ $D - D^2 = ([-2, 0]^T [0, -6]^T)$
But this all feels unnecessary and I feel lost. Am I even thinking right?
The eigenvalues of $A$ are $-1$ and $-2$. Hence, the eigenvalues of $A^2$ are $1$ and $4$. Hence, the eigenvalues of $A - A^2$ are $-1 - 1 = -2$ and $-2 - 4 = -6$. Since the eigenvalues are non-zero, it is invertible.