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Spatio-temporal numerical modeling of stochastic predator-prey model
In this article, the ratio-dependent prey-predator system perturbed with time noise is numerically investigated. It relates to the population densities of the prey and predator in an ecological system. The initial prey-predator models only depend on the time and a couple of the differential equation...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10439196/ https://www.ncbi.nlm.nih.gov/pubmed/36737648 http://dx.doi.org/10.1038/s41598-023-28324-6 |
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author | Yasin, Muhammad W. Ahmed, Nauman Iqbal, Muhammad S. Raza, Ali Rafiq, Muhammad eldin, Elsayed Mohamed Tag Khan, Ilyas |
author_facet | Yasin, Muhammad W. Ahmed, Nauman Iqbal, Muhammad S. Raza, Ali Rafiq, Muhammad eldin, Elsayed Mohamed Tag Khan, Ilyas |
author_sort | Yasin, Muhammad W. |
collection | PubMed |
description | In this article, the ratio-dependent prey-predator system perturbed with time noise is numerically investigated. It relates to the population densities of the prey and predator in an ecological system. The initial prey-predator models only depend on the time and a couple of the differential equations. We are considering a model where the prey-predator interaction is influenced by both space and time and the need for a coupled nonlinear partial differential equation with the effect of the random behavior of the environment. The existence of the solutions is guaranteed by using Schauder’s fixed point theorem. The computation of the underlying model is carried out by two schemes. The proposed stochastic forward Euler scheme is conditionally stable and consistent with the system of the equations. The proposed stochastic non-standard finite difference scheme is unconditionally stable and consistent with the system of the equations. The graphical behavior of a test problem for different values of the parameters is shown which depicts the efficacy of the schemes. Our numerical results will help the researchers to consider the effect of the noise on the prey-predator model. |
format | Online Article Text |
id | pubmed-10439196 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-104391962023-08-20 Spatio-temporal numerical modeling of stochastic predator-prey model Yasin, Muhammad W. Ahmed, Nauman Iqbal, Muhammad S. Raza, Ali Rafiq, Muhammad eldin, Elsayed Mohamed Tag Khan, Ilyas Sci Rep Article In this article, the ratio-dependent prey-predator system perturbed with time noise is numerically investigated. It relates to the population densities of the prey and predator in an ecological system. The initial prey-predator models only depend on the time and a couple of the differential equations. We are considering a model where the prey-predator interaction is influenced by both space and time and the need for a coupled nonlinear partial differential equation with the effect of the random behavior of the environment. The existence of the solutions is guaranteed by using Schauder’s fixed point theorem. The computation of the underlying model is carried out by two schemes. The proposed stochastic forward Euler scheme is conditionally stable and consistent with the system of the equations. The proposed stochastic non-standard finite difference scheme is unconditionally stable and consistent with the system of the equations. The graphical behavior of a test problem for different values of the parameters is shown which depicts the efficacy of the schemes. Our numerical results will help the researchers to consider the effect of the noise on the prey-predator model. Nature Publishing Group UK 2023-02-03 /pmc/articles/PMC10439196/ /pubmed/36737648 http://dx.doi.org/10.1038/s41598-023-28324-6 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Yasin, Muhammad W. Ahmed, Nauman Iqbal, Muhammad S. Raza, Ali Rafiq, Muhammad eldin, Elsayed Mohamed Tag Khan, Ilyas Spatio-temporal numerical modeling of stochastic predator-prey model |
title | Spatio-temporal numerical modeling of stochastic predator-prey model |
title_full | Spatio-temporal numerical modeling of stochastic predator-prey model |
title_fullStr | Spatio-temporal numerical modeling of stochastic predator-prey model |
title_full_unstemmed | Spatio-temporal numerical modeling of stochastic predator-prey model |
title_short | Spatio-temporal numerical modeling of stochastic predator-prey model |
title_sort | spatio-temporal numerical modeling of stochastic predator-prey model |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10439196/ https://www.ncbi.nlm.nih.gov/pubmed/36737648 http://dx.doi.org/10.1038/s41598-023-28324-6 |
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