If $A$ is a $2\times 2$ matrix with a repeated eigenvalue $r$, show that $\mathrm{e}^{At}=\mathrm{e}^{rt}\left[I+(A-rI)t\right]$.
I have already been able to show that if $A$ is an arbitrary $2\times 2$ matrix $$ \left( \begin{array}\\ a & b \\ c & d \end{array} \right), $$ the repeated eigenvalue $r$ must be equal to $\,r=\dfrac{a+d}{2}$.
From here, my first thought was to take the determinant of the matrix $$\mathrm{e}^{rt}\left[I+(A-rI)t\right],$$ and show that it is equal to $$\det(\mathrm{e}^{At}),$$ but then I started thinking this would be useless since two unequal matrices can have the same determinant.
I've tried directly substituting $r$ into the right-hand side of the equation as well, but with no luck.
Does anyone have any suggestions on how to proceed from here?
This is much simpler if you observe that what you're trying to prove is invariant under conjugation/similarity. That is, it suffices to show this for some matrix similar to $A$, not necessarily $A$ itself.
Note that if $A$ has a repeated eigenvalue of $r$, then it must be similar either to $\begin{pmatrix}r & 0 \\ 0 & r\end{pmatrix}$ or to $\begin{pmatrix}r & 1 \\ 0 & r\end{pmatrix}$.