Can't find the bases of the eigenspaces

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I have this matrix:

$$ \begin{pmatrix} 2 & 1 & 0 \\ 0 & 0 & 2 \\ 0 & 3 & -1 \\ \end{pmatrix} $$

I found the eigenvalues which are $2$ and $-3$.

So I substituted $2$ in the matrix:

$$ \begin{matrix} 0 & 1 & 0 \\ 0 & -2 & 2 \\ 0 & 3 & -3 \\ \end{matrix} $$

The sytem is:

$$ \left\{ \begin{array}{c} v_2=0 \\ -2v_2 +2v_3=0 \\ 3v_2-3v_3=0 \end{array} \right. $$

Which becomes...

$$ \left\{ \begin{array}{c} v_2=0 \\ v_2=v_3 \\ v_2=v_3 \end{array} \right. $$

So I suppose that the bases of the eigenspace of the eigenvalue $2$ is $(0,0,0)$, is that possible?

Eigenspace for the eigenvalue $-3$:

$$ \begin{pmatrix} 5 & 1 & 0 \\ 0 & 3 & 2 \\ 0 & 3 & 2 \\ \end{pmatrix} $$

$$ \left\{ \begin{array}{c} 5v_1+v_2=0 \\ 3v_2+2v_3=0 \\ 3v_2+2v_3=0 \end{array} \right. $$

$$ \left\{ \begin{array}{c} v_1=-(v_2)/5 \\ v_2=-(2/3) v_3 \\ v_3=-(3/2)v_2 \end{array} \right. $$

So the base I found is $(-1/5, -2/3, -3/2)$

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No, it is not possible; remember that by the definition of eigenvectors we are looking for no trivial solution of $(A-2I)x=0$.

Indeed note that from the system you obtain $v_1\neq0,\;$ thus an eigenvector is $\;(1,0,0),\;$ as you can directly verify from the $(A-2I)$ matrix.