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Main Authors: Ye, Mingkun, Zhang, Zuozheng
Format: Preprint
Published: 2024
Subjects:
Online Access:https://arxiv.org/abs/2409.12265
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author Ye, Mingkun
Zhang, Zuozheng
author_facet Ye, Mingkun
Zhang, Zuozheng
contents In this paper, we consider a kind of fully coupled slow fast motion, in which the slow variable satisfies the non Lipschitz condition. We prove that the stochastic flow of the slow variable exists and moreover, satisfies the large deviation principle. The argument is mainly based on Khasminskii's averaging principle, the variational representation of the exponential functional of the Brownian motion, and the weak convergence framework proposed by Budhiraja and Dupuis.
format Preprint
id arxiv_https___arxiv_org_abs_2409_12265
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle The Large Deviation Principle for Stochastic Flow of Stochastic Slow-Fast Motions
Ye, Mingkun
Zhang, Zuozheng
Probability
In this paper, we consider a kind of fully coupled slow fast motion, in which the slow variable satisfies the non Lipschitz condition. We prove that the stochastic flow of the slow variable exists and moreover, satisfies the large deviation principle. The argument is mainly based on Khasminskii's averaging principle, the variational representation of the exponential functional of the Brownian motion, and the weak convergence framework proposed by Budhiraja and Dupuis.
title The Large Deviation Principle for Stochastic Flow of Stochastic Slow-Fast Motions
topic Probability
url https://arxiv.org/abs/2409.12265