The Matrix $\begin{bmatrix} -2 & -1 & -1 \\ 0 & 0 & 2 \\ -1 & 0 & -2 \end{bmatrix} \in M(3,3,\mathbb{R})$ is given with eigenvalue $\lambda_1 = -2$
I am required to
i) "determine the eigenspace" for said value
ii) "determine the dimension of the eigenspace, i.e the space of all eigenvectors for $\lambda_1 = -2$
EDIT: One of the assumptions I made in the solution below is that $0 \cdot x_1 = 0$ means that I can ignore it in the eigenspace.
Progress so far:
substituting the value of $\lambda_1 = -2$ yields $\begin{bmatrix} 0 & -1 & -1 \\ 0 & 2 & 2 \\ -1 & 0 & 0 \end{bmatrix} \overset{\mbox{RREF}}{\longrightarrow} $\begin{bmatrix} 1 & 0 & 0 \\ 0 & 1 & 1 \\ 0 & 0 & 0 \end{bmatrix}
Solving $(A - \lambda I)\vec{x} = \vec{0}$ and rearranging yields: $x_1 = 0$ and $x_2 = -x_3$.
Am I correct in assuming that the eigenspace is just $\{ \begin{bmatrix} 0 \\ -x \\ x\end{bmatrix} : x \in \mathbb{R}\}$?
If so, is it correct to conclude that for part II, I can simply count the vectors produced in part I (i.e 1) and the question has been fully completed?
Thanks in advance.
Note that $$ \begin{bmatrix} 0 \\ -x \\ x\end{bmatrix} = x \begin{bmatrix} 0 \\ -1 \\ 1\end{bmatrix} $$
Thus your eigenspace associated to $\lambda_1=-2$ is a one dimensional subspace generated by $ \begin{bmatrix} 0 \\ -1 \\ 1\end{bmatrix} $