Large deviation of long time average for a stochastic process : an alternative method
arXiv:1910.07202 · doi:10.1088/1751-8121/ab6fcb
Abstract
We present here a simple method for computing the large deviation of long time average for stochastic jump processes. We show that the computation of the rate function can be reduced to that of a partial differential equation governing the evolution of the probability generating function. The long time limit of this equation, which in many cases can be easily obtained, leads naturally to the rate function.
References in corpus (6)
- The large deviation approach to statistical mechanics
- Introduction to dynamical large deviations of Markov processes
- Finite size effects in a mean-field kinetically constrained model: dynamical glassiness and quantum criticality
- Large deviations of a long-time average in the Ehrenfest Urn Model
- Neutron fluctuations: the importance of being delayed
- A giant disparity and a dynamical phase transition in large deviations of the time-averaged size of stochastic populations