Boundary driven Kawasaki process with long range interaction: dynamical large deviations and steady states
Mustapha Mourragui (LMRS), Enza Orlandi

TL;DR
This paper studies a boundary-driven particle system with long-range interactions, deriving large deviation principles and analyzing steady states through integro-differential equations and hydrodynamic limits.
Contribution
It introduces a novel analysis of a Kawasaki process with long-range interactions, establishing dynamical large deviations and characterizing steady states.
Findings
Empirical density solves a quasi-linear integro-differential equation.
Large deviation principle for the empirical density is proved.
For small interaction strength, a law of large numbers for stationary measures is established.
Abstract
A particle system with a single locally-conserved field (density) in a bounded interval with different densities maintained at the two endpoints of the interval is under study here. The particles interact in the bulk through a long range potential parametrized by and evolve according to an exclusion rule. It is shown that the empirical particle density under the diffusive scaling solves a quasi-linear integro-differential evolution equation with Dirichlet boundary conditions. The associated dynamical large deviation principle is proved. Furthermore, for small enough, it is also demonstrated that the empirical particle density obeys a law of large numbers with respect to the stationary measures (hydrostatic). The macroscopic particle density solves a non local, stationary, transport equation.
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Taxonomy
TopicsStochastic processes and statistical mechanics · Theoretical and Computational Physics · Advanced Thermodynamics and Statistical Mechanics
