Large Deviations for Stochastic Differential Equations Driven by Semimartingales

Fuente: arXiv
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Main Authors: Huang, Qiao, Wei, Wei, Duan, Jinqiao
Format: Preprint
Published: 2019
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author Huang, Qiao
Wei, Wei
Duan, Jinqiao
author_facet Huang, Qiao
Wei, Wei
Duan, Jinqiao
contents We prove a large deviation principle for stochastic differential equations driven by semimartingales, with additive controls. Conditions are given in terms of characteristics of driven semimartingales, so that if the noise-control pairs satisfy a large deviation principle with some good rate function, so do the solution processes. There is no joint exponential tightness assumption for noise-control-solution triplets and no uniform exponential tightness assumption for noise.
format Preprint
id arxiv_https___arxiv_org_abs_1910_05720
institution arXiv
publishDate 2019
record_format arxiv
spellingShingle Large Deviations for Stochastic Differential Equations Driven by Semimartingales
Huang, Qiao
Wei, Wei
Duan, Jinqiao
Probability
Dynamical Systems
60F10, 60H10, 60G44, 60G51, 60G57
We prove a large deviation principle for stochastic differential equations driven by semimartingales, with additive controls. Conditions are given in terms of characteristics of driven semimartingales, so that if the noise-control pairs satisfy a large deviation principle with some good rate function, so do the solution processes. There is no joint exponential tightness assumption for noise-control-solution triplets and no uniform exponential tightness assumption for noise.
title Large Deviations for Stochastic Differential Equations Driven by Semimartingales
topic Probability
Dynamical Systems
60F10, 60H10, 60G44, 60G51, 60G57
url https://arxiv.org/abs/1910.05720