Extreme current fluctuations of boundary-driven systems in the large-N limit

Yongjoo Baek, Yariv Kafri, Vivien Lecomte

Research output: Contribution to journalArticlepeer-review

Abstract

Current fluctuations in boundary-driven diffusive systems are, in many cases, studied using hydrodynamic theories. Their predictions are then expected to be valid for currents which scale inversely with the system size. To study this question in detail, we introduce a class of large -N models of one-dimensional boundary-driven diffusive systems, whose current large deviation functions are exactly derivable for any finite number of sites. Surprisingly, we find that for some systems the predictions of the hydrodynamic theory may hold well beyond their naive regime of validity. Specifically, we show that, while a symmetric partial exclusion process exhibits non-hydrodynamic behaviors sufficiently far beyond the naive hydrodynamic regime, a symmetric inclusion process is well described by the hydrodynamic theory for arbitrarily large currents. We conjecture, and verify for zero-range processes, that the hydrodynamic theory captures the statistics of arbitrarily large currents for all models where the mobility coefficient as a function of density is unbounded from above. In addition, for the large-N models, we prove the additivity principle under the assumption that the large deviation function has no discontinuous transitions.

Original languageEnglish
Article number053203
JournalJournal of Statistical Mechanics: Theory and Experiment
Volume2016
Issue number5
DOIs
StatePublished - 19 May 2016

Keywords

  • driven diffusive systems (theory)
  • large deviations in non-equilibrium systems
  • stationary states
  • stochastic particle dynamics (theory)

All Science Journal Classification (ASJC) codes

  • Statistical and Nonlinear Physics
  • Statistics and Probability
  • Statistics, Probability and Uncertainty

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