Euler–Maruyama schemes for Caputo stochastic fractional delay differential equations

Abstract The main aim of this paper is to develop Euler–Maruyama type schemes for Caputo stochastic fractional delay differential equations (Caputo SFDDEs) of order <m:math xmlns:m="http://www.w3.org/1998/Math/MathML"> <m:mrow> <m:mi>α</m:mi> <m:mo>∈</m:mo> <m:mrow> <m:mo stretchy="false">(</m:mo> <m:mfrac> <m:mn>1</m:mn> <m:mn>2</m:mn> </m:mfrac> <m:mo>,</m:mo> <m:mn>1</m:mn> <m:mo stretchy="false">)</m:mo> </m:mrow> </m:mrow> </m:math> \alpha\in(\frac{1}{2},1) . Under the standard Lipschitz and Hölder continuity conditions on the coefficients, the strong convergence and convergence rate of these schemes are established. Specifically, in the case that the coefficients of the Caputo SFDDEs are time-invariant, the convergence rate is <m:math xmlns:m="http://www.w3.org/1998/Math/MathML"> <m:mrow> <m:mi>α</m:mi> <m:mo>−</m:mo> <m:mfrac> <m:mn>1</m:mn> <m:mn>2</m:mn> </m:mfrac> </m:mrow> </m:math> \alpha-\frac{1}{2} . A numerical example is provided to illustrate the theoretical results.

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Publication Details

Journal
Random Operators and Stochastic Equations
Published
2025-04-09
DOI
https://doi.org/10.1515/rose-2025-2013
Citations
1
Primary Topic
Stochastic processes and financial applications
Type
article
Field-Weighted Citation Impact
2.21
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article

Euler–Maruyama schemes for Caputo stochastic fractional delay differential equations

Phan Thi Huong
1 citations
Random Operators and Stochastic Equations
Stochastic processes and financial applications
2.21
article

Euler–Maruyama schemes for Caputo stochastic fractional delay differential equations

Phan Thi Huong
article en
1 citations

Abstract

Abstract The main aim of this paper is to develop Euler–Maruyama type schemes for Caputo stochastic fractional delay differential equations (Caputo SFDDEs) of order <m:math xmlns:m="http://www.w3.org/1998/Math/MathML"> <m:mrow> <m:mi>α</m:mi> <m:mo>∈</m:mo> <m:mrow> <m:mo stretchy="false">(</m:mo> <m:mfrac> <m:mn>1</m:mn> <m:mn>2</m:mn> </m:mfrac> <m:mo>,</m:mo> <m:mn>1</m:mn> <m:mo stretchy="false">)</m:mo> </m:mrow> </m:mrow> </m:math> \alpha\in(\frac{1}{2},1) . Under the standard Lipschitz and Hölder continuity conditions on the coefficients, the strong convergence and convergence rate of these schemes are established. Specifically, in the case that the coefficients of the Caputo SFDDEs are time-invariant, the convergence rate is <m:math xmlns:m="http://www.w3.org/1998/Math/MathML"> <m:mrow> <m:mi>α</m:mi> <m:mo>−</m:mo> <m:mfrac> <m:mn>1</m:mn> <m:mn>2</m:mn> </m:mfrac> </m:mrow> </m:math> \alpha-\frac{1}{2} . A numerical example is provided to illustrate the theoretical results.

Random Operators and Stochastic EquationsVol. 33(2)
Le Quy Don Technical University (VN)
Openalex Percentile: Top 16%
Stochastic processes and financial applications
2.21
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