Normal form of Turing–Turing bifurcation for the diffusive Bazykin system with prey-taxis

In this paper, we introduce prey-taxis to the diffusive Bazykin system and study the codimension-two Turing–Turing bifurcation of this modified system. For the local system, i.e. without diffusion terms and the prey-taxis term, we investigate the stability of the unique positive equilibrium. Then, for the diffusive Bazykin system with prey-taxis, we examine the stability of the unique positive constant steady state, Turing instability, and Turing bifurcation. Moreover, by choosing the random diffusion coefficients as bifurcation parameters, we investigate the Turing–Turing bifurcation of the diffusive Bazykin system with prey-taxis. Furthermore, to demonstrate and classify the spatiotemporal dynamics near the Turing–Turing bifurcation point, we derive an algorithm for calculating the third-order truncated normal form of this bifurcation using the center manifold theorem and normal form theory. Finally, to verify the theoretical analysis results and demonstrate the effectiveness of the derived algorithm, we perform several numerical simulations using matlab software. We also investigate the influence of the prey-taxis coefficient on the Turing instability of the diffusive Bazykin system with prey-taxis.

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Publication Details

Journal
International Journal of Biomathematics
Published
2024-08-29
DOI
https://doi.org/10.1142/s1793524524501134
Citations
3
Primary Topic
Nonlinear Dynamics and Pattern Formation
Type
article
Field-Weighted Citation Impact
1.05
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article

Normal form of Turing–Turing bifurcation for the diffusive Bazykin system with prey-taxis

Yehu Lv
3 citations
International Journal of Biomathematics
Nonlinear Dynamics and Pattern Formation
1.05
article

Normal form of Turing–Turing bifurcation for the diffusive Bazykin system with prey-taxis

Yehu Lv
article en
3 citations

Abstract

In this paper, we introduce prey-taxis to the diffusive Bazykin system and study the codimension-two Turing–Turing bifurcation of this modified system. For the local system, i.e. without diffusion terms and the prey-taxis term, we investigate the stability of the unique positive equilibrium. Then, for the diffusive Bazykin system with prey-taxis, we examine the stability of the unique positive constant steady state, Turing instability, and Turing bifurcation. Moreover, by choosing the random diffusion coefficients as bifurcation parameters, we investigate the Turing–Turing bifurcation of the diffusive Bazykin system with prey-taxis. Furthermore, to demonstrate and classify the spatiotemporal dynamics near the Turing–Turing bifurcation point, we derive an algorithm for calculating the third-order truncated normal form of this bifurcation using the center manifold theorem and normal form theory. Finally, to verify the theoretical analysis results and demonstrate the effectiveness of the derived algorithm, we perform several numerical simulations using matlab software. We also investigate the influence of the prey-taxis coefficient on the Turing instability of the diffusive Bazykin system with prey-taxis.

International Journal of Biomathematics
University of Jinan (CN)
Openalex Percentile: Top 22%
Nonlinear Dynamics and Pattern Formation
1.05
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Normal form of Turing–Turing bifurcation for the diffusive Bazykin system with prey-taxis — Yehu Lv · International Journal of Biomathematics (2024) | TGRS Research Map | TGRS