Averaging principle for SDEs with singular drifts driven by $α$-stable processes

Fuente: arXiv
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Main Authors: Cheng, Mengyu, Hao, Zimo, Zhang, Xicheng
Format: Preprint
Published: 2024
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author Cheng, Mengyu
Hao, Zimo
Zhang, Xicheng
author_facet Cheng, Mengyu
Hao, Zimo
Zhang, Xicheng
contents In this paper, we investigate the convergence rate of the averaging principle for stochastic differential equations (SDEs) with $β$-Hölder drift driven by $α$-stable processes. More specifically, we first derive the Schauder estimate for nonlocal partial differential equations (PDEs) associated with the aforementioned SDEs, within the framework of Besov-Hölder spaces. Then we consider the case where $(α,β)\in(0,2)\times(1-\tfracα{2},1)$. Using the Schauder estimate, we establish the strong convergence rate for the averaging principle. In particular, under suitable conditions we obtain the optimal rate of strong convergence when $(α,β)\in(\tfrac{2}{3},1]\times(2-\tfrac{3α}{2},1)\cup(1,2)\times(\tfracα{2},1)$. Furthermore, when $(α,β)\in(0,1]\times(1-α,1-\tfracα{2}]\cup(1,2)\times(\tfrac{1-α}{2},1-\tfracα{2}]$, we show the convergence of the martingale solutions of original systems to that of the averaged equation. When $α\in(1,2)$, the drift can be a distribution.
format Preprint
id arxiv_https___arxiv_org_abs_2409_12706
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Averaging principle for SDEs with singular drifts driven by $α$-stable processes
Cheng, Mengyu
Hao, Zimo
Zhang, Xicheng
Dynamical Systems
Probability
60H10, 34C29
In this paper, we investigate the convergence rate of the averaging principle for stochastic differential equations (SDEs) with $β$-Hölder drift driven by $α$-stable processes. More specifically, we first derive the Schauder estimate for nonlocal partial differential equations (PDEs) associated with the aforementioned SDEs, within the framework of Besov-Hölder spaces. Then we consider the case where $(α,β)\in(0,2)\times(1-\tfracα{2},1)$. Using the Schauder estimate, we establish the strong convergence rate for the averaging principle. In particular, under suitable conditions we obtain the optimal rate of strong convergence when $(α,β)\in(\tfrac{2}{3},1]\times(2-\tfrac{3α}{2},1)\cup(1,2)\times(\tfracα{2},1)$. Furthermore, when $(α,β)\in(0,1]\times(1-α,1-\tfracα{2}]\cup(1,2)\times(\tfrac{1-α}{2},1-\tfracα{2}]$, we show the convergence of the martingale solutions of original systems to that of the averaged equation. When $α\in(1,2)$, the drift can be a distribution.
title Averaging principle for SDEs with singular drifts driven by $α$-stable processes
topic Dynamical Systems
Probability
60H10, 34C29
url https://arxiv.org/abs/2409.12706