  The large deviation principle on phase space is proved for a class of Markov
processes known as random population dynamics with catastrophes. In the paper
we study the process which corresponds to the random population dynamics with
linear growth and uniform catastrophes, where an eliminating portion of the
population is chosen uniformly. The large deviation result provides an optimal
trajectory of large fluctuation: it shows how the large fluctuations occur for
this class of processes.
