in the context of svd and selfadjoints I am asked to solve this exercise. I am not going to share my thoughts because they go nowhere. I would like some clue about this exercise. I have never seen e raised to an operator before. Thanks in advance
$T:V \to V$ is a selfadjoint operator
There is another linear operator defined as $e^{T}: V \to V$ that has the following associated matrix in a basis named B.
$_{B}\left [ e^{T} \right ]_{B}=\begin{bmatrix} e^{\lambda _{1}} & . & . & 0\\ . & e^{\lambda _{2}} & . &. \\ . & . & . &. \\ 0& . & . & e^{\lambda _{n}} \end{bmatrix}$ being B the basis in which $_{B}\left [ T \right ]_{B}=\begin{bmatrix} \lambda _1 & . & . & 0\\ . & \lambda _2 & . &. \\ . & . & . &. \\ 0& . & . & \lambda _n \end{bmatrix}$
Prove with S and T selfadjoints operators such as TS=ST that $e^{T+S}=e^{T}\cdot e^{S}$
Given a linear operator $T$ the exponential operator is defined via the absolutely convergent series (you can see here): $$ e^T=\sum_{n=0}^\infty \frac{T^n}{n!} $$
and, if the operator is represented by a diagonal matrix (that is the matrix with the eigenvalues as diagonal elements in the basis of the corresponding eigenvectors), we can show that the exponential $e^T$ is represented, in the same basis, by a diagonal matrix with as diagonal elements the exponentials of the eigenvalues.
More: we can prove, using the usual proof for the exponents property $e^ae^b=e^{a+b}$, that if two linear operators $T,S$ commute, than $e^Te^S=e^Se^T=E^{T+S}$.
In your case the fact that the operators are self adjoint ensure that we have an orthonormal basis of eigenvectors in which the operators are represented by diagonal matrices.