Abstract
This paper studies large deviations of a “fully coupled” finite state mean-field interacting particle system in a fast varying environment. The empirical measure of the particles evolves in the slow time scale and the random environment evolves in the fast time scale. Our main result is the path-space large deviation principle for the joint law of the empirical measure process of the particles and the occupation measure process of the fast environment. This extends previous results known for two time scale diffusions to two time scale mean-field models with jumps. Our proof is based on the method of stochastic exponentials. We characterise the rate function by studying a certain variational problem associated with an exponential martingale.
Funding Statement
The authors were supported by a grant from the Indo–French Centre for Applied Mathematics on a project titled “Metastability phenomena in algorithms and engineered systems”. The first author was supported by a fellowship grant from the Centre for Networked Intelligence (a Cisco CSR initiative), Indian Institute of Science, Bangalore.
Citation
Sarath Yasodharan. Rajesh Sundaresan. "Large deviations of mean-field interacting particle systems in a fast varying environment." Ann. Appl. Probab. 32 (3) 1666 - 1704, June 2022. https://doi.org/10.1214/21-AAP1718
Information