Characterization of Gradient Condition for Asymmetric Partial Exclusion Processes and Their Scaling Limits
Patr\'icia Gon\c{c}alves, Kohei Hayashi, Makiko Sasada

TL;DR
This paper studies partial exclusion processes on a 1D lattice, establishing the equivalence of gradient conditions and product invariant measures, and shows convergence to the stochastic Burgers equation under asymmetric jump rates.
Contribution
It proves the mutual equivalence of gradient condition and product invariant measures for PEPs with simple jump rates, and demonstrates convergence to SBE in the diffusive limit.
Findings
Gradient condition and product invariant measures are mutually equivalent for asymmetric PEPs.
Fluctuation fields converge to the stationary energy solution of the stochastic Burgers equation.
Results extend universality of SBE to a broader class of partial exclusion processes.
Abstract
We consider partial exclusion processes~(PEPs) on the one-dimensional square lattice, that is, a system of interacting particles where each particle random walks according to a jump rate satisfying an exclusion rule that allows up to a certain number of particles can exist on each site. Particularly, we assume that the jump rate is given as a product of two functions depending on occupation variables on the original and target sites. Our interest is to study the limiting behavior, especially to derive some macroscopic PDEs by means of (fluctuating) hydrodynamics, of fluctuation fields associated with PEPs, starting from an invariant measure. The so-called gradient condition, meaning that the symmetric part of the instantaneous current is written in a gradient form, and that the invariant measures are given as a product measure is technically crucial. Our first main result is to clarify…
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