Finding basis given a matrix representation? Let $ A: \mathbb{C}^2 \to \mathbb{C}^2$ be given by 
$ A =\begin{bmatrix}
    1       & 1 \\
    -1       & -1 \\ 
\end{bmatrix} $
(with respect to the standard basis). Find a basis of $\mathbb{C}^2$ with respect to which the matrix reprsentation of $A$ is 
$D = \begin{bmatrix}
    0       & 1 \\
    0       & 0 \\ 
\end{bmatrix}$
So far, I have set up the problem as such: 
$ D = C^{-1}AC$ and substituted it as 
$\begin{bmatrix}
    0       & 1 \\
    0       & 0 \\ 
\end{bmatrix} = C^{-1}\begin{bmatrix}
    1       & 1 \\
    -1       & -1 \\ 
\end{bmatrix}C$, in which $C$ is the basis. Thus far, I have only seen examples in which I was given the basis and asked to solve for the matrix representation. I am not sure what the problem means by "with respect to the standard basis" either. How do I go about solving this problem?
 A: $A =\begin{bmatrix}
    1       & 1 \\
    -1       & -1 \\ 
\end{bmatrix}$ with respect to standard basis means that the columns of the matrix are precisely $Ae_1$ and $Ae_2$, written in the standard basis:
$$Ae_1 = e_1 - e_2 = (1,-1)$$
$$Ae_2 = e_1 - e_2 = (1,-1)$$
We get that $$A(x,y) = A(xe_1 + ye_2) = xAe_1 + yAe_2 = (x+y,-x-y), \quad\forall (x,y)\in\mathbb{C}^2$$
Now, let's try to find a vector $(x,y) \in \mathbb{C}^2$ such that $A(x,y) = 0$, as this will be our first basis vector for the matrix $\begin{bmatrix}
    0       & 1 \\
    0       & 0 \\ 
\end{bmatrix}$.
We have:
$$0 = A(x+y) = (x+y,-x-y)\implies x+y = 0$$
so we can for example take $(1,-1)$.
Now let's try to find $(u,v)\in\mathbb{C}^2$ such that $A(u,v) = (u+v,-u-v)= (1,-1)$. We see that $(u,v) = \left(\frac12,\frac12\right)$.
Furthermore, $(1,-1)$ and $\left(\frac12,\frac12\right)$ are linearly dependent since they are not proportional, so $\left\{(1,-1), \left(\frac12,\frac12\right)\right\}$ is a basis for $\mathbb{C}^2$.
Now you can once again verify that $A(1,-1) = 0$ and $A\left(\frac12,\frac12\right) = (1,-1)$ so the matrix representation of $A$ in this basis is indeed $\begin{bmatrix}
    0       & 1 \\
    0       & 0 \\ 
\end{bmatrix}$.
