Asymptotic behavior of a delayed stochastic logistic model with impulsive perturbations

In this paper, we investigate the dynamics of a delayed logistic model with both impulsive and stochastic perturbations. The impulse is introduced at fixed moments and the stochastic perturbation is of white noise type which is assumed to be proportional to the population density. We start with the...

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Main Authors: Sanling Yuan, Xuehui Ji, Huaiping Zhu
Format: Article
Language:English
Published: AIMS Press 2017-09-01
Series:Mathematical Biosciences and Engineering
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Online Access:https://www.aimspress.com/article/doi/10.3934/mbe.2017077
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author Sanling Yuan
Xuehui Ji
Huaiping Zhu
author_facet Sanling Yuan
Xuehui Ji
Huaiping Zhu
author_sort Sanling Yuan
collection DOAJ
description In this paper, we investigate the dynamics of a delayed logistic model with both impulsive and stochastic perturbations. The impulse is introduced at fixed moments and the stochastic perturbation is of white noise type which is assumed to be proportional to the population density. We start with the existence and uniqueness of the positive solution of the model, then establish sufficient conditions ensuring its global attractivity. By using the theory of integral Markov semigroups, we further derive sufficient conditions for the existence of the stationary distribution of the system. Finally, we perform the extinction analysis of the model. Numerical simulations illustrate the obtained theoretical results.
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institution Kabale University
issn 1551-0018
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series Mathematical Biosciences and Engineering
spelling doaj-art-4d2365733b28466b808d63468aabdfa72025-01-24T02:40:31ZengAIMS PressMathematical Biosciences and Engineering1551-00182017-09-01145&61477149810.3934/mbe.2017077Asymptotic behavior of a delayed stochastic logistic model with impulsive perturbationsSanling Yuan0Xuehui Ji1Huaiping Zhu2College of Science, University of Shanghai for Science and Technology, Shanghai 200093, ChinaCollege of Science, University of Shanghai for Science and Technology, Shanghai 200093, ChinaLamps and Department of Mathematics and Statistics, York University, 4700 Keele Street, Toronto, ON M3J 1P3, CanadaIn this paper, we investigate the dynamics of a delayed logistic model with both impulsive and stochastic perturbations. The impulse is introduced at fixed moments and the stochastic perturbation is of white noise type which is assumed to be proportional to the population density. We start with the existence and uniqueness of the positive solution of the model, then establish sufficient conditions ensuring its global attractivity. By using the theory of integral Markov semigroups, we further derive sufficient conditions for the existence of the stationary distribution of the system. Finally, we perform the extinction analysis of the model. Numerical simulations illustrate the obtained theoretical results.https://www.aimspress.com/article/doi/10.3934/mbe.2017077delayed stochastic logistic modelimpulsive perturbationitô's formulastationary distributionextinction
spellingShingle Sanling Yuan
Xuehui Ji
Huaiping Zhu
Asymptotic behavior of a delayed stochastic logistic model with impulsive perturbations
Mathematical Biosciences and Engineering
delayed stochastic logistic model
impulsive perturbation
itô's formula
stationary distribution
extinction
title Asymptotic behavior of a delayed stochastic logistic model with impulsive perturbations
title_full Asymptotic behavior of a delayed stochastic logistic model with impulsive perturbations
title_fullStr Asymptotic behavior of a delayed stochastic logistic model with impulsive perturbations
title_full_unstemmed Asymptotic behavior of a delayed stochastic logistic model with impulsive perturbations
title_short Asymptotic behavior of a delayed stochastic logistic model with impulsive perturbations
title_sort asymptotic behavior of a delayed stochastic logistic model with impulsive perturbations
topic delayed stochastic logistic model
impulsive perturbation
itô's formula
stationary distribution
extinction
url https://www.aimspress.com/article/doi/10.3934/mbe.2017077
work_keys_str_mv AT sanlingyuan asymptoticbehaviorofadelayedstochasticlogisticmodelwithimpulsiveperturbations
AT xuehuiji asymptoticbehaviorofadelayedstochasticlogisticmodelwithimpulsiveperturbations
AT huaipingzhu asymptoticbehaviorofadelayedstochasticlogisticmodelwithimpulsiveperturbations