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Research Article | Open Access

A stochastic enterprise cluster model with mean-reverting Ornstein-Uhlenbeck process

Shuxiang Shao1Bo Du2( )Xiaoliang Li3( )
School of Mathematics and Sciences, Suqian University, Suqian Jiangsu, 223800, China
School of Mathematics and Statistics, Huaiyin Normal University, Huaian Jiangsu, 223300, China
Jiyang College, Zhejiang Agriculture and Forestry University, Zhuji 311800, China
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Abstract

In this paper, we construct and analyze a stochastic enterprise cluster model with a mean-reverting Ornstein-Uhlenbeck process. We first investigate the existence of a global unique positive solution for the system. After that, the stochastically ultimate boundedness of the system is considered. Based on a series of Lyapunov functions, sufficient criteria for the system's dynamic behaviors, including exponential extinction and persistence in the mean of the system, are established. Two numerical examples validate the theoretical results of this paper. This article provides a theoretical basis for promoting the development of enterprise clusters.

CLC number: 34B13, 60H10

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AIMS Mathematics
Pages 13110-13125

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Cite this article:
Shao S, Du B, Li X. A stochastic enterprise cluster model with mean-reverting Ornstein-Uhlenbeck process. AIMS Mathematics, 2026, 11(5): 13110-13125. https://doi.org/10.3934/math.2026540

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Received: 11 January 2026
Revised: 23 April 2026
Accepted: 27 April 2026
Published: 15 May 2026
©2026 the Author(s), licensee AIMS Press.

This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0)