Analysis of a stochastic predator–prey population model with Allee effect and jumps

Abstract This paper is concerned with a stochastic predator–prey model with Allee effect and Lévy noise. First, by the comparison theorem of stochastic differential equations, we prove that the model has a unique global positive solution starting from the positive initial value. Then we investigate...

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Main Authors: Rong Liu, Guirong Liu
Format: Article
Language:English
Published: SpringerOpen 2019-03-01
Series:Journal of Inequalities and Applications
Subjects:
Online Access:http://link.springer.com/article/10.1186/s13660-019-2014-x
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spelling doaj-99d051f990794494bde1b2604127dde42020-11-25T00:06:35ZengSpringerOpenJournal of Inequalities and Applications1029-242X2019-03-012019111610.1186/s13660-019-2014-xAnalysis of a stochastic predator–prey population model with Allee effect and jumpsRong Liu0Guirong Liu1School of Mathematical Sciences, Shanxi UniversitySchool of Mathematical Sciences, Shanxi UniversityAbstract This paper is concerned with a stochastic predator–prey model with Allee effect and Lévy noise. First, by the comparison theorem of stochastic differential equations, we prove that the model has a unique global positive solution starting from the positive initial value. Then we investigate the asymptotic pathwise behavior of the model by the generalized exponential martingale inequality and the Borel–Cantelli lemma. Next, we establish the conditions under which predator and prey populations are extinct. Furthermore, we show that the global positive solution is stochastically ultimate bounded under some conditions by using the Bernoulli equation and Chebyshev’s inequality. At last, we introduce some numerical simulations to support the main results obtained. The results in this paper generalize and improve the previous related results.http://link.springer.com/article/10.1186/s13660-019-2014-xAllee effectLévy noiseExponential martingale inequalityChebyshev’s inequalityPredator–prey
collection DOAJ
language English
format Article
sources DOAJ
author Rong Liu
Guirong Liu
spellingShingle Rong Liu
Guirong Liu
Analysis of a stochastic predator–prey population model with Allee effect and jumps
Journal of Inequalities and Applications
Allee effect
Lévy noise
Exponential martingale inequality
Chebyshev’s inequality
Predator–prey
author_facet Rong Liu
Guirong Liu
author_sort Rong Liu
title Analysis of a stochastic predator–prey population model with Allee effect and jumps
title_short Analysis of a stochastic predator–prey population model with Allee effect and jumps
title_full Analysis of a stochastic predator–prey population model with Allee effect and jumps
title_fullStr Analysis of a stochastic predator–prey population model with Allee effect and jumps
title_full_unstemmed Analysis of a stochastic predator–prey population model with Allee effect and jumps
title_sort analysis of a stochastic predator–prey population model with allee effect and jumps
publisher SpringerOpen
series Journal of Inequalities and Applications
issn 1029-242X
publishDate 2019-03-01
description Abstract This paper is concerned with a stochastic predator–prey model with Allee effect and Lévy noise. First, by the comparison theorem of stochastic differential equations, we prove that the model has a unique global positive solution starting from the positive initial value. Then we investigate the asymptotic pathwise behavior of the model by the generalized exponential martingale inequality and the Borel–Cantelli lemma. Next, we establish the conditions under which predator and prey populations are extinct. Furthermore, we show that the global positive solution is stochastically ultimate bounded under some conditions by using the Bernoulli equation and Chebyshev’s inequality. At last, we introduce some numerical simulations to support the main results obtained. The results in this paper generalize and improve the previous related results.
topic Allee effect
Lévy noise
Exponential martingale inequality
Chebyshev’s inequality
Predator–prey
url http://link.springer.com/article/10.1186/s13660-019-2014-x
work_keys_str_mv AT rongliu analysisofastochasticpredatorpreypopulationmodelwithalleeeffectandjumps
AT guirongliu analysisofastochasticpredatorpreypopulationmodelwithalleeeffectandjumps
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