Static large deviations for a reaction-diffusion model
Jonathan Farfan, Claudio Landim, Kenkichi Tsunoda

TL;DR
This paper establishes a large deviations principle for a reaction-diffusion model combining exclusion and spin-flip dynamics, showing the stationary state concentrates on stable hydrodynamic solutions.
Contribution
It proves the large deviations principle for the empirical measure of a reaction-diffusion system with combined dynamics, linking microscopic behavior to macroscopic stability.
Findings
Large deviations principle for the empirical measure in the model
Stationary state concentrates on stable hydrodynamic solutions
Identification of stable solutions of the hydrodynamic equation
Abstract
We consider the superposition of a symmetric simple exclusion dynamics, speeded-up in time, with a spin-flip dynamics in a one-dimensional interval with periodic boundary conditions. We prove the large deviations principle for the empirical measure under the stationary state. We deduce from this result that the stationary state is concentrated on the stationary solutions of the hydrodynamic equation which are stable.
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