arXiv:0811.1041 [cond-mat.stat-mech]AbstractReferencesReviewsResources
Simulation of large deviation functions using population dynamics
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
DOI: 10.1063/1.3082284
Categories: cond-mat.stat-mech, cond-mat.other
Keywords: simulation, simulate large deviation functions, population dynamics methods, handle static observables, discrete time processes
Tags: journal article
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