Is there any technique (trick) to find the eigenvalue with smallest real part of any general complex matrix $[a_{ij}]_{N \times N}$. Without finding all the eigenvalues explicitly and then identifying.
$\textbf{Context :}$ This problem is relevant for finding for example the statistics of number of specific $i \rightarrow j$ jumps taken by a markov process in the long time limit.