Scaling limits of additive functionals of interacting particle systems
Patricia Gon\c{c}alves, Milton Jara

TL;DR
This paper establishes a local Boltzmann-Gibbs principle for one-dimensional conservative interacting particle systems using renormalization, leading to new scaling limits and a novel process related to the stochastic Burgers equation.
Contribution
It introduces a local Boltzmann-Gibbs principle for 1D systems and derives new scaling limits and a related process for the stochastic Burgers equation.
Findings
Derived scaling limits for additive functionals
Constructed a new process linked to the stochastic Burgers equation
Applied renormalization method to particle systems
Abstract
Using the renormalization method introduced in \cite{GJ}, we prove what we call the {\em local} Boltzmann-Gibbs principle for conservative, stationary interacting particle systems in dimension . As applications of this result, we obtain various scaling limits of additive functionals of particle systems, like the occupation time of a given site or extensive additive fields of the dynamics. As a by-product of these results, we also construct a novel process, related to the stationary solution of the stochastic Burgers equation.
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Taxonomy
TopicsStochastic processes and statistical mechanics · Markov Chains and Monte Carlo Methods · Random Matrices and Applications
