How does one find the solution y(n) from y(n+1)? (System of Difference Equations)

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I have the following system of differnce equations:

$ \begin{bmatrix} Y_1(t+1)\\ Y_2(t+1) \end{bmatrix} = A \begin{bmatrix} Y_1(t)\\ Y_2(t) \end{bmatrix} + \begin{bmatrix} 0\\ G_0 \end{bmatrix} $

Where $ A=\begin{bmatrix} 0 & 1\\ bk+b & -kb \end{bmatrix},\quad 0<b<1,k>0 $,
is a real valued constant matrix.

I know the system is autonomous, and that the solution is given by: $ Y(n)=A^{n-n_0}y_0+\sum_{r=n_0}^{n-1}A^{n-r-1}g(r) $

Here $y(n_0)=y_0$, and i know that $g(r)=\begin{bmatrix} 0\\ G_0 \end{bmatrix}$ so the solution to the given system would be given accordingly:

$ Y(n)= \begin{bmatrix} 0 & 1\\ bk+b & -kb \end{bmatrix} ^{n-n_0}y_0+\sum_{r=n_0}^{n-1} \begin{bmatrix} 0 & 1\\ bk+b & -kb \end{bmatrix} ^{n-r-1}.\begin{bmatrix} 0\\ G_0 \end{bmatrix} $

Is this a satisfying solution?

Say that $n_0=0$ which then gives:

$ Y(n)= \begin{bmatrix} 0 & 1\\ bk+b & -kb \end{bmatrix} ^{n}y_0+\sum_{r=n_0}^{n-1} \begin{bmatrix} 0 & 1\\ bk+b & -kb \end{bmatrix} ^{n-r-1}.\begin{bmatrix} 0\\ G_0 \end{bmatrix} $

Is it then possible to find $A^n$ by Putzers Algorithm, I have tried myself, but whenever i put in real values for $b,k$ my $A^n$ returns complex numbers in the anti-diagonal.

Or would it be easier to approach the solution by The Jordan Form, or does that only work with homogenous difference equations?