Row reducing to find complex eigenvectors I am trying to find eigenvectors of the matrix 
$$
A=
\begin{bmatrix}
5 & 10 \\
-1 & -1 \\
\end{bmatrix}
$$
I have solved the characteristic polynomial and obtained eigenvalues of $$\lambda = 2 \pm i$$
In the real-valued eigenvalue case, this is straightforward, since I can easily compute the nullspace of $A-\lambda I$. I suspect that a similar technique is required for complex eigenvalues, however I cannot seem to find a simple way to row-reduce and find the nullspace of
$$A-\lambda I =
\begin{bmatrix}
3-i & 10 \\
-1 & -3-i \\
\end{bmatrix}
$$
I know that eigenvectors will be complex conjugates of one another, so I am only computing the eigenvector corresponding to $2+i$. 
Can anyone explain how to proceed?
Much thanks in advance.

In order to row-reduce this, we want to get the second row to have the same first component as the first row. The first row has a first component of $3-i$ while the second row has a component of $-1$, so we multiply the second row by $\frac{3-i}{-1}=i-3$.
$$\begin{bmatrix}3-i & 10 \\ 3-i & 10\end{bmatrix}$$
Then, we subtract the second row by the first row to eliminate that row:
$$\begin{bmatrix}3-i & 10 \\ 0 & 0\end{bmatrix}$$
Finally, we divide the first row by $3-i$ to get the matrix into RREF:
$$\begin{bmatrix}1 & 3+i \\ 0 & 0\end{bmatrix}$$
Finally, from the RREF, we get the vector for the null space:
$$\begin{bmatrix}-(3+i) \\ 1\end{bmatrix}=\begin{bmatrix}3+i \\ -1\end{bmatrix}$$
The other eigenvector for the other eigenvalue can be found by conjugation.
