Simulation of large deviation functions using population dynamics

Details Simulation of large deviation functions using population dynamics Simulation of large deviation functions using population dynamics

2008-11-06

arxiv.org/abs/0811.1041v1

AIP Conf. Proc, Vol 1091, pp. 212-219 (2009) MODELING AND SIMULATION OF NEW MATERIALS: Proceedings of Modeling and Simulation

Physics

Condensed Matter

Statistical Mechanics

Proceedings of the 10th Granada Seminar on Computational and Statistical Physics

Scientific paper

10.1063/1.3082284

In these notes we present a pedagogical account of the population dynamics methods recently introduced to simulate large deviation functions of dynamical observables in and out of equilibrium. After a brief introduction on large deviation functions and their simulations, we review the method of Giardin\`a \emph{et al.} for discrete time processes and that of Lecomte \emph{et al.} for the continuous time counterpart. Last we explain how these methods can be modified to handle static observables and extract information about intermediate times.

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