I've seen on Wikipedia that for a complex matrix $X$, $\det(e^X)=e^{\operatorname{tr}(X)}$.
It is clearly true for a diagonal matrix. What about other matrices ?
The series-based definition of exp is useless here.
I've seen on Wikipedia that for a complex matrix $X$, $\det(e^X)=e^{\operatorname{tr}(X)}$.
It is clearly true for a diagonal matrix. What about other matrices ?
The series-based definition of exp is useless here.
A alternative to doing this by normal forms which perhaps assumes more but is much more natural to me is (as suggested in the comment on $\det(\exp X)=e^{\mathrm{Tr}\, X}$ for 2 dimensional matrices) to note that it clearly holds for diagonalizable matrices (see the duplicate How to prove $\det(e^A) = e^{\operatorname{tr}(A)}$? ...), and by
we have the result more generally for all matrices.
If $X$ is upper triangular, then this is clear.
If the claim holds for a matrix $Y$, then it holds for any $X$ similar to $Y$.
By Jordan decomposition, each $X$ is similar to an upper triangular matrix $Y$ (of a special form, but never mind).
Thus, the claim holds for all $X$.