Large deviation principle for slow-fast rough differential equations via controlled rough paths

Fuente: arXiv
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Hauptverfasser: Yang, Xiaoyu, Xu, Yong
Format: Preprint
Veröffentlicht: 2024
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_version_ 1866912218019266560
author Yang, Xiaoyu
Xu, Yong
author_facet Yang, Xiaoyu
Xu, Yong
contents We prove a large deviation principle for the slow-fast rough differential equations under the controlled rough path framework. The driver rough paths are lifted from the mixed fractional Brownian motion with Hurst parameter $H\in (1/3,1/2)$. Our approach is based on the continuity of the solution mapping and the variational framework for mixed fractional Brownian motion. By utilizing the variational representation, our problem is transformed into a qualitative property of the controlled system. In particular, the fast rough differential equation coincides with Itô SDE almost surely, which possesses a unique invariant probability measure with frozen slow component. We then demonstrate the weak convergence of the controlled slow component by averaging with respect to the invariant measure of the fast equation and exploiting the continuity of the solution mapping.
format Preprint
id arxiv_https___arxiv_org_abs_2401_00673
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Large deviation principle for slow-fast rough differential equations via controlled rough paths
Yang, Xiaoyu
Xu, Yong
Probability
60F10, 60G15, 60H10
We prove a large deviation principle for the slow-fast rough differential equations under the controlled rough path framework. The driver rough paths are lifted from the mixed fractional Brownian motion with Hurst parameter $H\in (1/3,1/2)$. Our approach is based on the continuity of the solution mapping and the variational framework for mixed fractional Brownian motion. By utilizing the variational representation, our problem is transformed into a qualitative property of the controlled system. In particular, the fast rough differential equation coincides with Itô SDE almost surely, which possesses a unique invariant probability measure with frozen slow component. We then demonstrate the weak convergence of the controlled slow component by averaging with respect to the invariant measure of the fast equation and exploiting the continuity of the solution mapping.
title Large deviation principle for slow-fast rough differential equations via controlled rough paths
topic Probability
60F10, 60G15, 60H10
url https://arxiv.org/abs/2401.00673