$$X'=\begin{bmatrix} 1 & 0 & 1\\ 0 & 1 & 0\\ 0 & 0 & 1\\\end{bmatrix}X$$
This system is easy enough to solve without using the method of eigenvectors, but I thought it would be good practice for me. However, I ran into some difficulties.
This system has eigenvalue $\lambda=1$
It has two linearly independent eigenvectors: $v_1=(1,0,0)\\ v_2=(0,1,0)$
When I tried to find a generalized eigenvector for this system, I first tried the following: $$(A-I)w=v_2$$ where I denoted w to be my generalized eigenvector but this led me to the following matrix that I could not solve:$$\begin{bmatrix} 0 & 0 & 1\\0 & 0& 0\\ 0& 0& 0\\ \end{bmatrix}w= \begin{bmatrix}0\\1\\0 \end{bmatrix}$$ but I was unable to solve this equation. I then moved on to solve $$(A-I)w=v_1$$ $$\begin{bmatrix} 0 & 0 & 1\\0 & 0& 0\\ 0& 0& 0\\ \end{bmatrix}w= \begin{bmatrix}1\\0\\0 \end{bmatrix}$$
My initial thought was to have $$w=\begin{bmatrix}1\\1\\1 \end{bmatrix}$$
but this did not lead me to the correct solution using the approach outlined in Finding a solution basis.
Did I choose my $w$ wrong? And also, in the link I provided, does it matter which vector I choose to be $v_1$ and $v_2$?
Put another way, your matrix is already in the form $A = D + N,$ where $D=I$ and $N$ is just that single 1 in the corner. The important thing is that the pieces commute, $DN = ND.$ If $B,C$ commute, then $e^{C+B} = e^C e^B= e^B e^C$ and $e^{(C+B)t} = e^{Ct} e^{Bt}= e^{Bt} e^{Ct}$
Well, $e^{Dt}$ is fairly quick. Then, you find $e^{Nt}$ by writing out the Taylor series. The series is finite since $N$ is nilpotent. $$ e^{Nt} = I + Nt + N^2 \frac{t^2}{2} + N^3 \frac{t^3}{6} +. $$