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Research Article | Open Access

Persistence, extinction and practical exponential stability of impulsive stochastic competition models with varying delays

Yuxiao Zhao1,2Hong Lin3( )Xiaoyan Qiao1,2( )
School of Mathematics and Information Science, Shandong Technology and Business University, Yantai, 264005, China
School of Mathematical and Computational Science, Hunan University of Science and Technology, Xiangtan, 411201, China
Institute of Intelligence Science and Engineering, Shenzhen Polytechnic, Shenzhen, 518055, China
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Abstract

This paper studies the persistence, extinction and practical exponential stability of impulsive stochastic competition models with time-varying delays. The existence of the global positive solutions is investigated by the relationship between the solutions of the original system and the equivalent system, and the sufficient conditions of system persistence and extinction are given. Moreover, our study shows the following facts: (1) The impulsive perturbation does not affect the practical exponential stability under the condition of bounded pulse intensity. (2) In solving the stability of non-Markovian processes, it can be transformed into solving the stability of Markovian processes by applying Razumikhin inequality. (3) In some cases, a non-Markovian process can produce Markovian effects. Finally, numerical simulations obtained the importance and validity of the theoretical results for the existence of practical exponential stability through the relationship between parameters, pulse intensity and noise intensity.

CLC number: 34A37

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AIMS Mathematics
Pages 22643-22661

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Cite this article:
Zhao Y, Lin H, Qiao X. Persistence, extinction and practical exponential stability of impulsive stochastic competition models with varying delays. AIMS Mathematics, 2023, 8(10): 22643-22661. https://doi.org/10.3934/math.20231152

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Received: 30 April 2023
Revised: 28 June 2023
Accepted: 04 July 2023
Published: 15 October 2023
©2023 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)