Dynamics Analysis for Diffusive Resource‐Consumer Model With Nonlocal Discrete Memory

ABSTRACT In this paper, based on the importance of consumer memory on spatial resource distribution, we propose a novel consumer‐resource model that incorporates nonlocal discrete memory. By conducting thorough bifurcation and stability analysis, we determine the conditions for the occurrence of Hopf and Turing bifurcations and reveal a unique dynamic phenomenon termed Turing–Hopf bifurcation, which is uncommon in models without nonlocal discrete memory. We also show that as the memory delay increases, both the spatially nonhomogeneous periodic and steady‐state solutions may vanish, and the unstable positive homogeneous steady state may regain stability. Furthermore, leveraging the theory of normal forms, we derive a new effective algorithm to determine the direction and stability of Hopf bifurcation in a model where the diffusion component incorporates an integral term with delay. In addition, we perform numerical simulations to validate our theoretical findings, particularly to assess the direction and stability of the delay‐induced mode‐1 Hopf bifurcation. Our new method is used for this purpose, and the results have been confirmed by rigorous numerical analysis.

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Publication Details

Journal
Studies in Applied Mathematics
Published
2025-02-01
DOI
https://doi.org/10.1111/sapm.70030
Citations
4
Primary Topic
Mathematical Biology Tumor Growth
Type
article
Field-Weighted Citation Impact
5.47

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article

Dynamics Analysis for Diffusive Resource‐Consumer Model With Nonlocal Discrete Memory

Xiaoqin Shen, Haihui Wu, Qian Li, Aili Wang
4 citations
Studies in Applied Mathematics
Mathematical Biology Tumor Growth
5.47
article

Dynamics Analysis for Diffusive Resource‐Consumer Model With Nonlocal Discrete Memory

Xiaoqin Shen, Haihui Wu, Qian Li, Aili Wang
article en
4 citations

Abstract

ABSTRACT In this paper, based on the importance of consumer memory on spatial resource distribution, we propose a novel consumer‐resource model that incorporates nonlocal discrete memory. By conducting thorough bifurcation and stability analysis, we determine the conditions for the occurrence of Hopf and Turing bifurcations and reveal a unique dynamic phenomenon termed Turing–Hopf bifurcation, which is uncommon in models without nonlocal discrete memory. We also show that as the memory delay increases, both the spatially nonhomogeneous periodic and steady‐state solutions may vanish, and the unstable positive homogeneous steady state may regain stability. Furthermore, leveraging the theory of normal forms, we derive a new effective algorithm to determine the direction and stability of Hopf bifurcation in a model where the diffusion component incorporates an integral term with delay. In addition, we perform numerical simulations to validate our theoretical findings, particularly to assess the direction and stability of the delay‐induced mode‐1 Hopf bifurcation. Our new method is used for this purpose, and the results have been confirmed by rigorous numerical analysis.

Studies in Applied MathematicsVol. 154(2)
Ankang University (CN), Xi'an University of Technology (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 5%
Mathematical Biology Tumor Growth
5.47
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