We consider different models of stochastic dissipative equations and theoretically compute the probability distribution functions (actually the associated large deviation functions) of the time averaged injected power required to sustain a nontrivial stationary state. We discuss the results and in particular draw from our results some general features shared by these distributions in realistic dissipative systems.
Counting statistics and microreversibility in stochastic models of transistors
Similarity and Probability Distribution Functions in Many-body Stochastic Processes with Multiplicative Interactions
Stochastic Models of Evolution in Genetics, Ecology and Linguistics
