<i>h</i> -stability of fractional stochastic functional differential equations driven by Lévy process

Abstract In this paper, we investigate a class of Riemann–Liouville-type fractional stochastic functional differential equations driven by Lévy noise. By using Itô formula for the considered equation and using the Lyapunov technique, some sufficient conditions ensuring that the solutions of the considered equations are h -stable in p -th moment sense are obtained. Furthermore, by using a novel approach, some new and exhibit criteria for the h -stability for the considered equations are obtained. Finally, two examples are provided to illustrate the effectiveness of our main results.

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Publication Details

Journal
Random Operators and Stochastic Equations
Published
2026-05-29
DOI
https://doi.org/10.1515/rose-2026-3008
Primary Topic
Nonlinear Differential Equations Analysis
Type
article
Field-Weighted Citation Impact
0.00

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article

h -stability of fractional stochastic functional differential equations driven by Lévy process

Yulin Du, Liping Xu, Zhi Li
Random Operators and Stochastic Equations
Nonlinear Differential Equations Analysis
article

h -stability of fractional stochastic functional differential equations driven by Lévy process

Yulin Du, Liping Xu, Zhi Li
article en

Abstract

Abstract In this paper, we investigate a class of Riemann–Liouville-type fractional stochastic functional differential equations driven by Lévy noise. By using Itô formula for the considered equation and using the Lyapunov technique, some sufficient conditions ensuring that the solutions of the considered equations are h -stable in p -th moment sense are obtained. Furthermore, by using a novel approach, some new and exhibit criteria for the h -stability for the considered equations are obtained. Finally, two examples are provided to illustrate the effectiveness of our main results.

Random Operators and Stochastic Equations
Yangtze University (CN)
National Natural Science Foundation of China, Natural Science Foundation of Hubei Province
Openalex Percentile: Top 4%
Nonlinear Differential Equations Analysis
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