Answer
See below
Work Step by Step
1. Find eigenvalues:
(A-$\lambda$I)$\vec{V}$=$\vec{0}$
$\begin{bmatrix}
-\lambda & -1 & -1 \\
-1 & -\lambda & -1 \\
-1 & -1 & -\lambda \\
\end{bmatrix}\begin{bmatrix}
v_1\\
v_2 \\
v_3
\end{bmatrix}=\begin{bmatrix}
0\\
0 \\
0
\end{bmatrix}$
$\begin{bmatrix}
-\lambda & -1 & -1 \\
-1 & -\lambda & -1 \\
-1 & -1 & -\lambda \\
\end{bmatrix}=0$
$\left (- \lambda \right ) (- \lambda)(-\lambda)=0$
$(\lambda-1)^2(\lambda+2)=0$
$\lambda_1= \lambda_2=1, \lambda_3=-2$
2. Find eigenvectors:
For $\lambda=1$
let $B=A-\lambda_1I$
$B=\begin{bmatrix}
-\lambda & -1 & -1 \\
-1 & -\lambda & -1 \\
-1 & -1 & -\lambda \\
\end{bmatrix}=\begin{bmatrix}
-1 & -1 & -1 \\
-1 & -1 & -1 \\
-1 & -1 & -1\\
\end{bmatrix}$
Then,
$B\vec{V}$=$\vec{0}$
We obtain reduced row echelon form of B:
$\begin{bmatrix}
-1 & -1 & -1 \\
-1 & -1 & -1 \\
-1 & -1 & -1 \\
\end{bmatrix} \approx \begin{bmatrix}
1 & 1 & 1 | 0 \\
0 & 0 & 0 | 0\\
0 & 0 & 0 | 0\\
\end{bmatrix}$
Let $r$ be a free variable.
$\rightarrow \vec{V}=r(1,1,1) \\
E_1=\{(1,1,1)\}
\rightarrow dim(E_1)=1 $
For $\lambda=-2$
let $B=A-\lambda_1I$
$B=\begin{bmatrix}
-\lambda & -1 & -1 \\
-1 & -\lambda & -1 \\
-1 & -1 & -\lambda \\
\end{bmatrix}=\begin{bmatrix}
2 & -1 & -1 \\
-1 & 2 & -1 \\
-1 & -1 & 2\\
\end{bmatrix}$
Then,
$B\vec{V}$=$\vec{0}$
We obtain reduced row echelon form of B:
$\begin{bmatrix}
2 & -1 & -1 | 0 \\
-1 & 2 & -1 | 0 \\
-1 & -1 & 2 | 0\\
\end{bmatrix} \approx \begin{bmatrix}
1 & 0 & -1 | 0 \\
0 & 1 & -1 | 0\\
0 & 0 & 0 | 0\\
\end{bmatrix}$
Let $r$ and $s$ be free variables.
$\rightarrow \vec{V}=r(-1,1,0)+s(-1,0,1) \\
E_1=\{(-1,1,0),(-1,0,1)\}
\rightarrow dim(E_2)=2 $
Hence, matrix $A$ is nondefective.