Show that $\exp(C^{-1} AC) = C^{-1} \exp(A C)$ for any matrices $A \in L_{n}(\mathbb{R})$ and $C \in GL_{n}(\mathbb{R})$.
The hint of the question is given below:
Consider the linear operator $\alpha$ given in some basis (e) by the matrix $A$, and find the matrix of $e^{\alpha}$ in the basis (e)$C$ in two ways.
But I just want any type of proof either by calculation or by the hint given above, because I will use this result in solving another problem, just to be convinced with it while using it.
Could anyone help me in doing so please?
Thank you!
Look at the power series defining $e^B$ for any $B \in L_n(\Bbb R)$:
$e^B = \displaystyle \sum_0^\infty \dfrac{B^n}{n!}; \tag 1$
now observe that for any $n \ge 0$,
$C^{-1}A^n C = (C^{-1}AC)^n; \tag 2$
then
$C^{-1}e^A C = C^{-1}\left ( \displaystyle \sum_0^\infty \dfrac{A^n}{n!} \right )C$ $= \displaystyle \sum_0^\infty \dfrac{C^{-1}A^nC}{n!} = \displaystyle \sum_0^\infty \dfrac{(C^{-1}AC)^n}{n!} = e^{C^{-1}AC}. \tag 3$
That's about the shortest derivation of
$C^{-1}e^A C = e^{C^{-1}AC} \tag 4$
I know!
And incidentally, the method works for any matrix analytic function defined by a convergent power series . . .