Khasminskii Approach for Conformable Stochastic Delay Differential Equations

ABSTRACT This article aims to establish an averaging principle for conformable delay stochastic differential equations involving non‐Lipschitz coefficients. First, we derive Duhamel's formula utilizing standard cosine family of linear operators. Subsequently, by virtue of Picard iteration technique and contradiction method, we demonstrate the existence and uniqueness of mild solution for the considered system, respectively. Then under suitable averaging conditions, we prove that the solutions to the original equations can be approximated by the solutions to the averaged equations both in the sense of mean square and probability. It means that Khasminskii classical approach can be extended to stochastic differential equations of conformable type. As verification, an example is provided to illustrate the theoretical results.

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Publication Details

Journal
Mathematical Methods in the Applied Sciences
Published
2026-04-22
DOI
https://doi.org/10.1002/mma.70750
Primary Topic
Stochastic processes and financial applications
Type
article
Field-Weighted Citation Impact
0.00

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article

Khasminskii Approach for Conformable Stochastic Delay Differential Equations

Jinjian Huo, Quanxin Zhu, Min Yang
Mathematical Methods in the Applied Sciences
Stochastic processes and financial applications
article

Khasminskii Approach for Conformable Stochastic Delay Differential Equations

Jinjian Huo, Quanxin Zhu, Min Yang
article en

Abstract

ABSTRACT This article aims to establish an averaging principle for conformable delay stochastic differential equations involving non‐Lipschitz coefficients. First, we derive Duhamel's formula utilizing standard cosine family of linear operators. Subsequently, by virtue of Picard iteration technique and contradiction method, we demonstrate the existence and uniqueness of mild solution for the considered system, respectively. Then under suitable averaging conditions, we prove that the solutions to the original equations can be approximated by the solutions to the averaged equations both in the sense of mean square and probability. It means that Khasminskii classical approach can be extended to stochastic differential equations of conformable type. As verification, an example is provided to illustrate the theoretical results.

Mathematical Methods in the Applied Sciences
Hunan Normal University (CN), Changsha Normal University (CN), Taiyuan University of Science and Technology (CN), Taiyuan University of Technology (CN)
National Natural Science Foundation of China, Natural Science Foundation of Hunan Province
Openalex Percentile: Top 12%
Stochastic processes and financial applications
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