Averaging principle for slow-fast fractional stochastic differential equations

Fuente: arXiv
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Hauptverfasser: Bréhier, Charles-Edouard, Faye, Ibrahima
Format: Preprint
Veröffentlicht: 2025
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author Bréhier, Charles-Edouard
Faye, Ibrahima
author_facet Bréhier, Charles-Edouard
Faye, Ibrahima
contents We prove the averaging principle for a class of stochastic systems. The slow component is solution to a fractional differential equation, which is coupled with a fast component considered as solution to an ergodic stochastic differential equation driven by a standard Brownian motion. We establish the convergence of the slow component when the time-scale separation vanishes to the solution of the so-called averaged equation, which is an autonomous fractional differential equation, in the mean-square sense. Moreover, when the fast component does not depend on the slow component, we provide a rate of convergence depending on the order of the fractional derivative.
format Preprint
id arxiv_https___arxiv_org_abs_2510_04129
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Averaging principle for slow-fast fractional stochastic differential equations
Bréhier, Charles-Edouard
Faye, Ibrahima
Probability
We prove the averaging principle for a class of stochastic systems. The slow component is solution to a fractional differential equation, which is coupled with a fast component considered as solution to an ergodic stochastic differential equation driven by a standard Brownian motion. We establish the convergence of the slow component when the time-scale separation vanishes to the solution of the so-called averaged equation, which is an autonomous fractional differential equation, in the mean-square sense. Moreover, when the fast component does not depend on the slow component, we provide a rate of convergence depending on the order of the fractional derivative.
title Averaging principle for slow-fast fractional stochastic differential equations
topic Probability
url https://arxiv.org/abs/2510.04129