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LARGE DEVIATION PRINCIPLE FOR SOLUTIONS TO SDE DRIVEN BY MARTINGALE MEASURE

  • Published : 2006.07.01

Abstract

We consider a type of large deviation Principle(LDP) using Freidlin-Wentzell exponential estimates for the solutions to perturbed stochastic differential equations(SDEs) driven by Martingale measure(Gaussian noise). We are using exponential tail estimates and exit probability of a diffusion process. Referring to Freidlin-Wentzell inequality, we want to show another approach to get LDP for the solutions to SDEs.

Keywords

References

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Cited by

  1. Large deviation principle for stochastic integrals and stochastic differential equations driven by infinite-dimensional semimartingales 2017, https://doi.org/10.1016/j.spa.2017.09.011