A STOCHASTIC BURGERS EQUATION FROM A CLASS OF MICROSCOPIC INTERACTIONS

成果类型:
Article
署名作者:
Goncalves, Patricia; Jara, Milton; Sethuraman, Sunder
署名单位:
Universidade do Minho; Instituto Nacional de Matematica Pura e Aplicada (IMPA); University of Arizona
刊物名称:
ANNALS OF PROBABILITY
ISSN/ISSBN:
0091-1798
DOI:
10.1214/13-AOP878
发表日期:
2015
页码:
286-338
关键词:
asymmetric simple exclusion central-limit-theorem zero-range process symmetric simple exclusion particle-systems spectral gap equilibrium fluctuations tagged particle kpz equation growth-model
摘要:
We consider a class of nearest-neighbor weakly asymmetric mass conservative particle systems evolving on Z, which includes zero-range and types of exclusion processes, starting from a perturbation of a stationary state. When the weak asymmetry is of order O (n(-gamma)) for 1/2 < gamma <= 1, we show that the scaling limit of the fluctuation field, as seen across process characteristics, is a generalized Ornstein-Uhlenbeck process. However, at the critical weak asymmetry when gamma = 1/2, we show that all limit points satisfy a martingale formulation which may be interpreted in terms of a stochastic Burgers equation derived from taking the gradient of the KPZ equation. The proofs make use of a sharp Boltzmann-Gibbs estimate which improves on earlier bounds.