Dynamical fluctuation theory in a nutshell

Statistical Physics and Complexity Group meeting

Dynamical fluctuation theory in a nutshell

  • Event time: 11:30am until 12:30pm
  • Event date: 16th October 2019
  • Speaker: (School of Physics & Astronomy, University of Edinburgh)
  • Location: Room 2511,

Event details

A dynamical fluctuation is an atypical value of a time-integrated observable such as entropy production, particle current, or number of state transitions in a stochastic system. A comprehensive theory exists for how to characterize the likelihood of a dynamical fluctuation, and to determine the ensemble of system trajectories which realize it, given that the observation times involved are large. In this talk I will explain the basic elements of this theory in the context of Markov jump processes. While somewhat technical, most of the developments can be made physically intuitive by exploiting the clear analogy to ensemble theory in equilibrium physics, with distributions over microstates generalized to distribution of dynamical trajectories, and the large N-limit replaced by the large t-limit. In the following session we apply these tools to an analytically solvable model.