Large deviations for the current and tagged particle in 1D nearest-neighbor symmetric simple exclusion
arXiv:1101.1479 · doi:10.1214/11-AOP703
Abstract
Laws of large numbers, starting from certain nonequilibrium measures, have been shown for the integrated current across a bond, and a tagged particle in one-dimensional symmetric nearest-neighbor simple exclusion [Ann. Inst. Henri Poincare Probab. Stat. 42 (2006) 567-577]. In this article, we prove corresponding large deviation principles and evaluate the rate functions, showing different growth behaviors near and far from their zeroes which connect with results in [J. Stat. Phys. 136 (2009) 1-15].
Published in at http://dx.doi.org/10.1214/11-AOP703 the Annals of Probability (http://www.imstat.org/aop/) by the Institute of Mathematical Statistics (http://www.imstat.org)
References in corpus (4)
- Current Fluctuations in One Dimensional Diffusive Systems with a Step Initial Density Profile
- Current Fluctuations of the One Dimensional Symmetric Simple Exclusion Process with Step Initial Condition
- Large Fluctuations of the Macroscopic Current in Diffusive Systems: A Confirmation of the Additivity Principle
- On fractional Brownian motion limits in one dimensional nearest-neighbor symmetric simple exclusion
Cited by in corpus (12)
- Large Deviations in Single File Diffusion
- Exact solution of the macroscopic fluctuation theory for the symmetric exclusion process
- Large deviations of a tracer in the symmetric exclusion process
- Extreme Current Fluctuations in Lattice Gases: Beyond Nonequilibrium Steady States
- Dynamical properties of single-file diffusion
- Generalized Exclusion Processes: Transport Coefficients
- Extreme Current Fluctuations in a Nonstationary Stochastic Heat Flow
- Dynamical fluctuations in the Riesz gas
- Extreme Fluctuations of Current in the Symmetric Simple Exclusion Process: a Non-Stationary Setting
- Current fluctuations in the Dyson Gas
- Gumbel laws in the symmetric exclusion process
- Lecture notes on large deviations in non-equilibrium diffusive systems