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On the averaging principle for stochastic differential equations involving Caputo fractional derivative

Guanli Xiao, Mičhal Fĕckan, JinRong Wang

2022Chaos An Interdisciplinary Journal of Nonlinear Science33 citationsDOI

Abstract

In this paper, we investigate the averaging principle for Caputo-type fractional stochastic differential equations driven by Brownian motion. Different from the approach of integration by parts or decomposing integral interval to deal with the estimation of integral involving singular kernel in the existing literature, we show the desired averaging principle in the sense of mean square by using Hölder inequality via growth conditions on the nonlinear stochastic term. Finally, a simulation example is given to verify the theoretical results.

Topics & Concepts

MathematicsStochastic differential equationApplied mathematicsNonlinear systemFractional Brownian motionInterval (graph theory)Type (biology)Brownian motionMathematical analysisKernel (algebra)Fractional calculusDerivative (finance)Stochastic calculusStochastic processStochastic partial differential equationDifferential equationPure mathematicsStatisticsEcologyBiologyFinancial economicsPhysicsEconomicsQuantum mechanicsCombinatoricsFractional Differential Equations SolutionsNonlinear Differential Equations AnalysisStochastic processes and financial applications