AbstractWe study the large deviations principle for locally periodic SDEs with small noise and fast oscillating coefficients. There are three regimes depending on how fast the intensity of the noise goes to zero relative to homogenization parameter. We use weak convergence methods which provide convenient representations for the action functional for all regimes. Along the way, we study weak limits of controlled SDEs with fast oscillating coefficients. We derive, in some cases, a control that nearly achieves the large deviations lower bound at prelimit level. This control is useful for designing efficient importance sampling schemes for multiscale small noise diffusion
We study large deviation properties of systems of weakly interacting particles modeled by Ito\u302 s...
We study a large deviation principle for a system of stochastic reaction--diffusion equations (SRDEs...
Large deviations for stochastic approximations is a well-studied field that yields convergence prope...
A large deviation principle is established for a two-scale stochastic system in which the slow compo...
We consider a collection of weakly interacting diffusion processes moving in a two-scale locally pe...
We study large deviation properties of systems of weakly interacting particles modeled by Itô stocha...
We study large deviation properties of systems of weakly interacting particles modeled by Itô stocha...
This article concerns the large deviations regime and the consequent solution of the Kramers problem...
We consider a collection of weakly interacting diffusion processes moving in a two-scale locally per...
We prove the moderate deviations principle (MDP) for a general system of slow-fast dynamics. We prov...
We study a large deviation principle for a system of stochastic reaction-diffusion equations (SRDEs)...
We study a large deviation principle for a system of stochastic reaction-diffusion equations (SRDEs)...
We study two problems. First, we consider the large deviation behavior of empirical measures of cert...
The goal of this paper is to study the Moderate Deviation Principle (MDP) for a system of stochastic...
This paper proves the large deviation principle for a class of non-degenerate small noise diffusions...
We study large deviation properties of systems of weakly interacting particles modeled by Ito\u302 s...
We study a large deviation principle for a system of stochastic reaction--diffusion equations (SRDEs...
Large deviations for stochastic approximations is a well-studied field that yields convergence prope...
A large deviation principle is established for a two-scale stochastic system in which the slow compo...
We consider a collection of weakly interacting diffusion processes moving in a two-scale locally pe...
We study large deviation properties of systems of weakly interacting particles modeled by Itô stocha...
We study large deviation properties of systems of weakly interacting particles modeled by Itô stocha...
This article concerns the large deviations regime and the consequent solution of the Kramers problem...
We consider a collection of weakly interacting diffusion processes moving in a two-scale locally per...
We prove the moderate deviations principle (MDP) for a general system of slow-fast dynamics. We prov...
We study a large deviation principle for a system of stochastic reaction-diffusion equations (SRDEs)...
We study a large deviation principle for a system of stochastic reaction-diffusion equations (SRDEs)...
We study two problems. First, we consider the large deviation behavior of empirical measures of cert...
The goal of this paper is to study the Moderate Deviation Principle (MDP) for a system of stochastic...
This paper proves the large deviation principle for a class of non-degenerate small noise diffusions...
We study large deviation properties of systems of weakly interacting particles modeled by Ito\u302 s...
We study a large deviation principle for a system of stochastic reaction--diffusion equations (SRDEs...
Large deviations for stochastic approximations is a well-studied field that yields convergence prope...