Stochastic Dynamics of a Time-Delayed Ecosystem Driven by Poisson White Noise Excitation

We investigate the stochastic dynamics of a prey-predator type ecosystem with time delay and the discrete random environmental fluctuations. In this model, the delay effect is represented by a time delay parameter and the effect of the environmental randomness is modeled as Poisson white noise. The...

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Main Authors: Wantao Jia, Yong Xu, Dongxi Li
Format: Article
Language:English
Published: MDPI AG 2018-02-01
Series:Entropy
Subjects:
Online Access:http://www.mdpi.com/1099-4300/20/2/143
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spelling doaj-32a98c963a0e4ff383c9c9691956636a2020-11-24T21:33:59ZengMDPI AGEntropy1099-43002018-02-0120214310.3390/e20020143e20020143Stochastic Dynamics of a Time-Delayed Ecosystem Driven by Poisson White Noise ExcitationWantao Jia0Yong Xu1Dongxi Li2Department of Applied Mathematics, Northwestern Polytechnical University, Xi’an 710072, ChinaDepartment of Applied Mathematics, Northwestern Polytechnical University, Xi’an 710072, ChinaCollege of Big Data Science, Taiyuan University of Technology, Taiyuan 030024, ChinaWe investigate the stochastic dynamics of a prey-predator type ecosystem with time delay and the discrete random environmental fluctuations. In this model, the delay effect is represented by a time delay parameter and the effect of the environmental randomness is modeled as Poisson white noise. The stochastic averaging method and the perturbation method are applied to calculate the approximate stationary probability density functions for both predator and prey populations. The influences of system parameters and the Poisson white noises are investigated in detail based on the approximate stationary probability density functions. It is found that, increasing time delay parameter as well as the mean arrival rate and the variance of the amplitude of the Poisson white noise will enhance the fluctuations of the prey and predator population. While the larger value of self-competition parameter will reduce the fluctuation of the system. Furthermore, the results from Monte Carlo simulation are also obtained to show the effectiveness of the results from averaging method.http://www.mdpi.com/1099-4300/20/2/143predator-prey ecosystemtime delaystochastic averagingPoisson white noise
collection DOAJ
language English
format Article
sources DOAJ
author Wantao Jia
Yong Xu
Dongxi Li
spellingShingle Wantao Jia
Yong Xu
Dongxi Li
Stochastic Dynamics of a Time-Delayed Ecosystem Driven by Poisson White Noise Excitation
Entropy
predator-prey ecosystem
time delay
stochastic averaging
Poisson white noise
author_facet Wantao Jia
Yong Xu
Dongxi Li
author_sort Wantao Jia
title Stochastic Dynamics of a Time-Delayed Ecosystem Driven by Poisson White Noise Excitation
title_short Stochastic Dynamics of a Time-Delayed Ecosystem Driven by Poisson White Noise Excitation
title_full Stochastic Dynamics of a Time-Delayed Ecosystem Driven by Poisson White Noise Excitation
title_fullStr Stochastic Dynamics of a Time-Delayed Ecosystem Driven by Poisson White Noise Excitation
title_full_unstemmed Stochastic Dynamics of a Time-Delayed Ecosystem Driven by Poisson White Noise Excitation
title_sort stochastic dynamics of a time-delayed ecosystem driven by poisson white noise excitation
publisher MDPI AG
series Entropy
issn 1099-4300
publishDate 2018-02-01
description We investigate the stochastic dynamics of a prey-predator type ecosystem with time delay and the discrete random environmental fluctuations. In this model, the delay effect is represented by a time delay parameter and the effect of the environmental randomness is modeled as Poisson white noise. The stochastic averaging method and the perturbation method are applied to calculate the approximate stationary probability density functions for both predator and prey populations. The influences of system parameters and the Poisson white noises are investigated in detail based on the approximate stationary probability density functions. It is found that, increasing time delay parameter as well as the mean arrival rate and the variance of the amplitude of the Poisson white noise will enhance the fluctuations of the prey and predator population. While the larger value of self-competition parameter will reduce the fluctuation of the system. Furthermore, the results from Monte Carlo simulation are also obtained to show the effectiveness of the results from averaging method.
topic predator-prey ecosystem
time delay
stochastic averaging
Poisson white noise
url http://www.mdpi.com/1099-4300/20/2/143
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AT yongxu stochasticdynamicsofatimedelayedecosystemdrivenbypoissonwhitenoiseexcitation
AT dongxili stochasticdynamicsofatimedelayedecosystemdrivenbypoissonwhitenoiseexcitation
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