Here is a bit of an elaboration on top of @G Cab's answer.
Consider the linear transformation $T_1$, which maps components of the identity matrix to vectors specified below.
$$T_1 \begin{pmatrix} 1 \\ 0 \end{pmatrix} = \begin{pmatrix} 2 \\ 11 \end{pmatrix}, \, T_1 \begin{pmatrix} 0 \\ 1 \end{pmatrix} = \begin{pmatrix} 1 \\ 5 \end{pmatrix}$$
Next, we define a separate linear transformation that maps components of the identity matrix to another set of vectors.
$$T_2 \begin{pmatrix} 1 \\ 0 \end{pmatrix} = \begin{pmatrix} 8 \\ 5 \end{pmatrix}, \, T_2 \begin{pmatrix} 0 \\ 1 \end{pmatrix} = \begin{pmatrix} 5 \\ 3 \end{pmatrix}$$
Then, there should be some linear transformation $T$ that represents the relationship between these two linear transformations. In other words,
$$T\left(T_1 \begin{pmatrix} 1 \\ 0 \end{pmatrix} \right) = \begin{pmatrix} 8 \\ 5 \end{pmatrix}$$
and
$$T\left(T_1 \begin{pmatrix} 0 \\ 1 \end{pmatrix} \right) = \begin{pmatrix} 5 \\ 3 \end{pmatrix}$$
We can package the basis vectors into a matrix to formulate a more compact expression:
$$T\left(T_1 \begin{pmatrix} 1 & 0 \\ 0 & 1 \end{pmatrix} \right) = \begin{pmatrix} 8 & 5 \\ 5 & 3 \end{pmatrix}$$
Because we intentionally chose very easy basis vectors, namely the components of the identity matrix, we know what $T_1$ and $T_2$ are:
$$T_1 = \begin{pmatrix} 2 & 1 \\ 11 & 5 \end{pmatrix}, \, T_2 = \begin{pmatrix} 8 & 5 \\ 5 & 3 \end{pmatrix}$$
Therefore, the equation above simplifies to the following:
$$T \begin{pmatrix} 2 & 1 \\ 11 & 5 \end{pmatrix} = \begin{pmatrix} 8 & 5 \\ 5 & 3 \end{pmatrix}$$
Can you find the inverse of $T_1$ and go from there?