arXiv Analytics

Sign in

arXiv:2008.06855 [math.PR]AbstractReferencesReviewsResources

Large deviations of mean-field interacting particle systems in a fast varying environment

Sarath Yasodharan, Rajesh Sundaresan

Published 2020-08-16Version 1

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.

Related articles: Most relevant | Search more
arXiv:1909.03805 [math.PR] (Published 2019-09-09)
Large Time Behaviour and the Second Eigenvalue Problem for Finite State Mean-Field Interacting Particle Systems
arXiv:1805.05034 [math.PR] (Published 2018-05-14)
A stochastic SIR model on a graph with epidemiological and population dynamics occurring over the same time scale
arXiv:2405.10631 [math.PR] (Published 2024-05-17)
A \emph{$Γ$}-convergence of level-two large deviation for metastable systems: The case of zero-range processes