Concept:
If a matrix equation is of the form
\[
M
\begin{bmatrix}xy\end{bmatrix}
=
\begin{bmatrix}00\end{bmatrix}
\]
then a non-trivial solution exists when the matrix \(M\) becomes the zero matrix or produces a dependent system of equations.
Here,
\[
M = (A^{-1})^2 + B
\]
Hence we first compute \(A^{-1}\), then square it, and finally add matrix \(B\).
Step 1: Find \(A^{-1}\).
For matrix
\[
A=
\begin{bmatrix}
3 & -4
1 & -1
\end{bmatrix}
\]
Determinant:
\[
|A| = 3(-1) - (-4)(1)
\]
\[
|A| = -3 + 4 = 1
\]
Thus,
\[
A^{-1}=
\begin{bmatrix}
-1 & 4
-1 & 3
\end{bmatrix}
\]
Step 2: Compute \((A^{-1})^2\).
\[
(A^{-1})^2 =
\begin{bmatrix}
-1 & 4
-1 & 3
\end{bmatrix}
\begin{bmatrix}
-1 & 4
-1 & 3
\end{bmatrix}
\]
Multiplying matrices:
\[
(A^{-1})^2=
\begin{bmatrix}
-3 & 8
-2 & 5
\end{bmatrix}
\]
Step 3: Add matrix \(B\).
\[
B=
\begin{bmatrix}
6 & -13
5 & -10
\end{bmatrix}
\]
\[
(A^{-1})^2 + B =
\begin{bmatrix}
-3 & 8
-2 & 5
\end{bmatrix}
+
\begin{bmatrix}
6 & -13
5 & -10
\end{bmatrix}
\]
\[
=
\begin{bmatrix}
3 & -5
3 & -5
\end{bmatrix}
\]
Step 4: Form the linear equations.
\[
\begin{bmatrix}
3 & -5
3 & -5
\end{bmatrix}
\begin{bmatrix}
xy
\end{bmatrix}
=
\begin{bmatrix}
00
\end{bmatrix}
\]
This gives
\[
3x - 5y = 0
\]
Step 5: Solve the relation.
\[
3x = 5y
\]
\[
\frac{x}{y} = \frac{5}{3}
\]
Thus,
\[
x=5,\qquad y=3
\]
\[
\boxed{(x,y)=(5,3)}
\]