This article concerns the large deviations regime and the consequent solution of the Kramers problem for a two-time scale stochastic system driven by a common jump noise signal perturbed in small intensity $\varepsilon>0$ and with accelerated jumps by intensity $\frac{1}{\varepsilon}$. We establish Freidlin-Wentzell estimates for the slow process of the multiscale system in the small noise limit $\varepsilon \rightarrow 0$ using the weak convergence approach to large deviations theory. The core of our proof is the reduction of the large deviations principle to the establishment of a stochastic averaging principle for auxiliary controlled processes. As consequence we solve the first exit time/ exit locus problem from a bounded domain contain...
This paper proves three uniform large deviations results for a system of stochastic reaction--diffus...
We study a large deviation principle for a system of stochastic reaction-diffusion equations (SRDEs)...
AbstractWe prove a large deviation principle result for solutions of abstract stochastic evolution e...
We study two problems. First, we consider the large deviation behavior of empirical measures of cert...
We consider a collection of weakly interacting diffusion processes moving in a two-scale locally per...
This work studies a two-time-scale functional system given by two jump-diffusions under the scale se...
A large deviation principle is established for a two-scale stochastic system in which the slow compo...
Large deviations principles characterize the exponential decay rates of the probabilities of rare ev...
We study a large deviation principle for a system of stochastic reaction--diffusion equations (SRDEs...
We obtain sample-path large deviations for a class of one-dimensional stochastic differential equati...
AbstractWe study the large deviations principle for locally periodic SDEs with small noise and fast ...
The goal of this paper is to study the Moderate Deviation Principle (MDP) for a system of stochastic...
Die vorliegende Dissertation beschäftigt sich mit der Anwendung der Theorie der großen Abweichungen ...
We prove a large-deviation principle (LDP) for the sample paths of jump Markov processes in the smal...
We prove a large-deviation principle (LDP) for the sample paths of jump Markov processes in the smal...
This paper proves three uniform large deviations results for a system of stochastic reaction--diffus...
We study a large deviation principle for a system of stochastic reaction-diffusion equations (SRDEs)...
AbstractWe prove a large deviation principle result for solutions of abstract stochastic evolution e...
We study two problems. First, we consider the large deviation behavior of empirical measures of cert...
We consider a collection of weakly interacting diffusion processes moving in a two-scale locally per...
This work studies a two-time-scale functional system given by two jump-diffusions under the scale se...
A large deviation principle is established for a two-scale stochastic system in which the slow compo...
Large deviations principles characterize the exponential decay rates of the probabilities of rare ev...
We study a large deviation principle for a system of stochastic reaction--diffusion equations (SRDEs...
We obtain sample-path large deviations for a class of one-dimensional stochastic differential equati...
AbstractWe study the large deviations principle for locally periodic SDEs with small noise and fast ...
The goal of this paper is to study the Moderate Deviation Principle (MDP) for a system of stochastic...
Die vorliegende Dissertation beschäftigt sich mit der Anwendung der Theorie der großen Abweichungen ...
We prove a large-deviation principle (LDP) for the sample paths of jump Markov processes in the smal...
We prove a large-deviation principle (LDP) for the sample paths of jump Markov processes in the smal...
This paper proves three uniform large deviations results for a system of stochastic reaction--diffus...
We study a large deviation principle for a system of stochastic reaction-diffusion equations (SRDEs)...
AbstractWe prove a large deviation principle result for solutions of abstract stochastic evolution e...