Electronic Journal of Probability

Large deviations for small noise diffusions in a fast markovian environment

Amarjit Budhiraja, Paul Dupuis, and Arnab Ganguly

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Abstract

A large deviation principle is established for a two-scale stochastic system in which the slow component is a continuous process given by a small noise finite dimensional Itô stochastic differential equation, and the fast component is a finite state pure jump process. Previous works have considered settings where the coupling between the components is weak in a certain sense. In the current work we study a fully coupled system in which the drift and diffusion coefficient of the slow component and the jump intensity function and jump distribution of the fast process depend on the states of both components. In addition, the diffusion can be degenerate. Our proofs use certain stochastic control representations for expectations of exponential functionals of finite dimensional Brownian motions and Poisson random measures together with weak convergence arguments. A key challenge is in the proof of the large deviation lower bound where, due to the interplay between the degeneracy of the diffusion and the full dependence of the coefficients on the two components, the associated local rate function has poor regularity properties.

Article information

Source
Electron. J. Probab., Volume 23 (2018), paper no. 112, 33 pp.

Dates
Received: 25 January 2018
Accepted: 1 October 2018
First available in Project Euclid: 31 October 2018

Permanent link to this document
https://projecteuclid.org/euclid.ejp/1540951492

Digital Object Identifier
doi:10.1214/18-EJP228

Zentralblatt MATH identifier
06970417

Subjects
Primary: 60F10: Large deviations 60J75: Jump processes 60G35: Signal detection and filtering [See also 62M20, 93E10, 93E11, 94Axx] 60K37: Processes in random environments

Keywords
large deviations variational representations stochastic averaging averaging principle small noise asymptotics multi-scale analysis switching diffusions Markov modulated diffusions Poisson random measures

Rights
Creative Commons Attribution 4.0 International License.

Citation

Budhiraja, Amarjit; Dupuis, Paul; Ganguly, Arnab. Large deviations for small noise diffusions in a fast markovian environment. Electron. J. Probab. 23 (2018), paper no. 112, 33 pp. doi:10.1214/18-EJP228. https://projecteuclid.org/euclid.ejp/1540951492


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