Weak order in averaging principle for stochastic differential equations with jumps

Abstract In this paper, we deal with the averaging principle for a two-time-scale system of jump-diffusion stochastic differential equations. Under suitable conditions, we expand the weak error in powers of timescale parameter. We prove that the rate of weak convergence to the averaged dynamics is o...

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Main Authors: Bengong Zhang, Hongbo Fu, Li Wan, Jicheng Liu
Format: Article
Language:English
Published: SpringerOpen 2018-05-01
Series:Advances in Difference Equations
Subjects:
Online Access:http://link.springer.com/article/10.1186/s13662-018-1638-3
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author Bengong Zhang
Hongbo Fu
Li Wan
Jicheng Liu
author_facet Bengong Zhang
Hongbo Fu
Li Wan
Jicheng Liu
author_sort Bengong Zhang
collection DOAJ
description Abstract In this paper, we deal with the averaging principle for a two-time-scale system of jump-diffusion stochastic differential equations. Under suitable conditions, we expand the weak error in powers of timescale parameter. We prove that the rate of weak convergence to the averaged dynamics is of order 1. This reveals that the rate of weak convergence is essentially twice that of strong convergence.
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spelling doaj.art-5b5b6758b35d4b4685825da18d4e37ce2022-12-22T00:34:11ZengSpringerOpenAdvances in Difference Equations1687-18472018-05-012018112010.1186/s13662-018-1638-3Weak order in averaging principle for stochastic differential equations with jumpsBengong Zhang0Hongbo Fu1Li Wan2Jicheng Liu3College of Mathematics and Computer Science, Wuhan Textile UniversityCollege of Mathematics and Computer Science, Wuhan Textile UniversityCollege of Mathematics and Computer Science, Wuhan Textile UniversitySchool of Mathematics and Statistics, Huazhong University of Science and TechnologyAbstract In this paper, we deal with the averaging principle for a two-time-scale system of jump-diffusion stochastic differential equations. Under suitable conditions, we expand the weak error in powers of timescale parameter. We prove that the rate of weak convergence to the averaged dynamics is of order 1. This reveals that the rate of weak convergence is essentially twice that of strong convergence.http://link.springer.com/article/10.1186/s13662-018-1638-3Jump-diffusionAveraging principleInvariant measureWeak convergenceAsymptotic expansion
spellingShingle Bengong Zhang
Hongbo Fu
Li Wan
Jicheng Liu
Weak order in averaging principle for stochastic differential equations with jumps
Advances in Difference Equations
Jump-diffusion
Averaging principle
Invariant measure
Weak convergence
Asymptotic expansion
title Weak order in averaging principle for stochastic differential equations with jumps
title_full Weak order in averaging principle for stochastic differential equations with jumps
title_fullStr Weak order in averaging principle for stochastic differential equations with jumps
title_full_unstemmed Weak order in averaging principle for stochastic differential equations with jumps
title_short Weak order in averaging principle for stochastic differential equations with jumps
title_sort weak order in averaging principle for stochastic differential equations with jumps
topic Jump-diffusion
Averaging principle
Invariant measure
Weak convergence
Asymptotic expansion
url http://link.springer.com/article/10.1186/s13662-018-1638-3
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AT hongbofu weakorderinaveragingprincipleforstochasticdifferentialequationswithjumps
AT liwan weakorderinaveragingprincipleforstochasticdifferentialequationswithjumps
AT jichengliu weakorderinaveragingprincipleforstochasticdifferentialequationswithjumps