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Research Article | Open Access

Dynamical analysis of multiplicative environmental noise in a stochastic discrete-time fractional-order delayed predator-prey model

Mathematics Department, College of Science, King Saud University, P.O. Box 22452, Riyadh 11495, Saudi Arabia; Email: ftchier@ksu.edu.sa
Department of Mathematics, Abbottabad University of Science and Technology, Pakistan; Email: shahidmaths761@gmail.com
Department of Intelligent Energy and Industry, Chung-Ang University, Seoul 06910, Republic of Korea; Email: jsro@cau.ac.kr
Department of Mathematical Sciences, Faculty of Science and Technology, Universiti Kebangsaan Malaysia, 43600 Bangi, Selangor, Malaysia; Email: maslina@ukm.edu.my
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Abstract

The focus of this study was to investigate a discrete-time stochastic predator-prey model. This model included environmental noise, temporal delay, and a nonlinear Ivlev-type functional response. First of all, we proved boundedness, positivity, first, and second moment boundedness, characteristic equation, and Jury conditions. Further, using the characteristic equation and Jury conditions, we determined equilibrium, exponential mean-square stability, and local stability which prevented the system from becoming unstable as a result of random shocks. Additionally, we studied fractional memory effects on the system and demonstrated how the delay parameter exhibited Neimark–Sacker (discrete Hopf) bifurcation. The graphical analysis and the numerical simulations validated the theoretical results.

CLC number: 34D20, 34D23

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AIMS Mathematics
Pages 20577-20605

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Cite this article:
Tchier F, Khan S, Ro J, et al. Dynamical analysis of multiplicative environmental noise in a stochastic discrete-time fractional-order delayed predator-prey model. AIMS Mathematics, 2026, 11(7): 20577-20605. https://doi.org/10.3934/math.2026837

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Received: 23 April 2026
Revised: 14 June 2026
Accepted: 23 June 2026
Published: 15 July 2026
©2026 the Author(s), licensee AIMS Press.

This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0)