On one hand, using the Spectral decomposition of the Hamiltonian operator $H$, assumed to be an Hermitian operator, it is relatively simple to derive the equation $U(t) = \sum |v_j\rangle\langle v_j| e^{-i \lambda_j t / \hslash}$, where $\lambda_j$ is the eigenvalue and $|v_j\rangle$ is the corresponding eigenvector - assuming discrete decomposition and non-degenerate case.
On the other hand, using the matrix exponential and solving the linear partial differential equation, $U(t) = e^{-i H t / \hslash}$. Assuming that Hamiltonian is an Hermitian operator defined over a finite-dimensional Hilbert space $\mathcal{H}_n$, the operator is bounded and the matrix exponential converges.
I'm trying to reconcile both equations. Plugging the Spectral decomposition of $H$ in the second equation does not seem to give me the first one.