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arXiv:0811.1041 [cond-mat.stat-mech]AbstractReferencesReviewsResources

Simulation of large deviation functions using population dynamics

J. Tailleur, V. Lecomte

Published 2008-11-06Version 1

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.

Comments: Proceedings of the 10th Granada Seminar on Computational and Statistical Physics
Journal: AIP Conf. Proc, Vol 1091, pp. 212-219 (2009) MODELING AND SIMULATION OF NEW MATERIALS: Proceedings of Modeling and Simulation of New Materials: Tenth Granada Lectures
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