Stochastic prey-predator model with small random immigration

Alebraheem, Jawdat and Mohammed, Mogtaba and Tayel, Ismail M. and Aziz, Muhamad Hifzhudin Noor (2024) Stochastic prey-predator model with small random immigration. AIMS Mathematics, 9 (6). pp. 14982-14996. ISSN 2473-6988, DOI https://doi.org/10.3934/math.2024725.

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Official URL: https://doi.org/10.3934/math.2024725

Abstract

In this paper, we introduce a novel stochastic prey-predator model under random small immigration. Mainly, we prove boundedness for the solution of the model using probabilistic and analytic types of inequalities. Furthermore, possible conditions on the immigration for achieving stochastic square stability are obtained. The immigration of both prey and predator is assumed to be either constant and stochastically perturbed or proportional to the population and stochastically perturbed. In all cases, we arrived at the fact that stability can only be achieved if the immigration is small enough. We also show that as random immigration increases, the dynamic becomes destabilized and could lead to chaos. Lastly, we perform a computational analysis in order to verify the obtained theoretical results.

Item Type: Article
Funders: Deanship of Postgraduate Studies and Scientific Research at Majmaah University (ICR-2024-1036)
Uncontrolled Keywords: stochastic stability; prey-predator model; boundedness; small random immigration Mathematics Subject Classification; 92-11
Subjects: Q Science > QA Mathematics
Divisions: Faculty of Science > Institute of Mathematical Sciences
Depositing User: Ms. Juhaida Abd Rahim
Date Deposited: 13 Nov 2024 02:50
Last Modified: 13 Nov 2024 02:50
URI: http://eprints.um.edu.my/id/eprint/45836

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