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Efficient characterisation of large deviations using population dynamics

Research output: Contribution to journalArticle

Original languageEnglish
Article number053204
Number of pages30
JournalJournal of Statistical Mechanics: Theory and Experiment
Volume2018
Issue number5
Early online date8 May 2018
DOIs
DateAccepted/In press - 23 Feb 2018
DateE-pub ahead of print - 8 May 2018
DatePublished (current) - May 2018

Abstract

We consider population dynamics as implemented by the cloning algorithm for analysis of large deviations of time-averaged quantities. Using the simple symmetric exclusion process as a prototypical example, we investigate the convergence of the results with respect to the algorithmic parameters, focussing on the dynamical phase transition between homogeneous and inhomogeneous states, where convergence is relatively difficult to achieve. We discuss how the performance of the algorithm can be optimised, and how it can be efficiently exploited on parallel computing platforms.

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23 pages, final version

    Research areas

  • cond-mat.stat-mech

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    Rights statement: This is the accepted author manuscript (AAM). The final published version (version of record) is available online via IOP Science at https://doi.org/10.1088/1742-5468/aab3ef . Please refer to any applicable terms of use of the publisher.

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