  For a continuous-time Markov process, we characterize the law of the first
jump location when started from an arbitrary initial distribution, in terms of
the invariant distribution of an auxiliary Markov process. This could be of
interest in the burgeoning fields of piecewise-deterministic Markov chain Monte
Carlo methods and quasi-stationary Monte Carlo methods.
