Dynamics of a delayed discrete-time predator prey model proposed from a nonstandard finite difference scheme

IF 2.1 2区 数学 Q1 MATHEMATICS, APPLIED Journal of Computational and Applied Mathematics Pub Date : 2024-11-02 DOI:10.1016/j.cam.2024.116346
Mo Faheem, Bapan Ghosh
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Abstract

Existing literature established stability in a delayed logistic Lotka–Volterra predator–prey model in terms of equilibrium analysis. However, several researchers did not construct the time-series analysis in such models. It has also been observed that both the RK4 methods and the inbuilt ‘dde23’ MATLAB solver were unable to generate stable solutions. This motivated us to develop a nonstandard scheme to capture the numerical solutions which are well consistent with the analytical equilibrium analysis of continuous delayed predator–prey model. In this paper, we will propose a nonstandard finite difference (NSFD) scheme for a delayed predator–prey model. We shall prove that the developed scheme preserves the qualitative behavior of the system, including the local stability of the equilibrium, and stability switching for any step size h=1m,mZ+. It is observed that the discretized system shows the occurrence of a Neimark-Sacker bifurcation. Moreover, the convergence analysis of the numerical scheme establishes first-order convergence. The bifurcation diagram and comparison of delay τsequence generated by NSFD with the ones obtained by analytical means have been discussed graphically.
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根据非标准有限差分方案提出的延迟离散时捕食者与猎物模型的动力学特性
现有文献通过平衡分析确定了延迟逻辑洛特卡-伏特拉捕食者-猎物模型的稳定性。然而,一些研究人员并没有对这类模型进行时间序列分析。我们还发现,RK4 方法和 MATLAB 内置的 "dde23 "求解器都无法生成稳定的解。这促使我们开发一种非标准方案,以获取与连续延迟捕食者-猎物模型的分析平衡分析完全一致的数值解。在本文中,我们将针对延迟捕食者-猎物模型提出一种非标准有限差分(NSFD)方案。我们将证明所开发的方案保留了系统的定性行为,包括平衡的局部稳定性和任意步长 h=1m,m∈Z+ 的稳定性切换。据观察,离散化系统出现了 Neimark-Sacker 分岔。此外,数值方案的收敛分析确定了一阶收敛。分岔图以及由 NSFD 生成的延迟 τ 序列与通过分析方法获得的延迟 τ 序列的比较已通过图形进行了讨论。
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来源期刊
CiteScore
5.40
自引率
4.20%
发文量
437
审稿时长
3.0 months
期刊介绍: The Journal of Computational and Applied Mathematics publishes original papers of high scientific value in all areas of computational and applied mathematics. The main interest of the Journal is in papers that describe and analyze new computational techniques for solving scientific or engineering problems. Also the improved analysis, including the effectiveness and applicability, of existing methods and algorithms is of importance. The computational efficiency (e.g. the convergence, stability, accuracy, ...) should be proved and illustrated by nontrivial numerical examples. Papers describing only variants of existing methods, without adding significant new computational properties are not of interest. The audience consists of: applied mathematicians, numerical analysts, computational scientists and engineers.
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