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Further stability criteria for singular Hopf bifurcation in planar predator-prey systems
Jicai Huang1, Shimin Li2, Xiaoling Wang3
1School of Mathematics and Statistics, and Hubei Key Laboratory of Mathematical Sciences, Central China Normal University, Wuhan, Hubei 430079, People's Republic of China.
This study analyzes singular Hopf bifurcation stability in predator-prey models, particularly when the Lyapunov coefficient is zero. New criteria are established for Leslie and Gause models, confirmed by numerical simulations.
Area of Science:
- Mathematical Biology
- Dynamical Systems Theory
- Ecology
Background:
- Singular Hopf bifurcation is crucial in analyzing predator-prey systems.
- Existing research provides Lyapunov coefficients for bifurcations (A≠0), but stability is unclear when A=0.
- Planar predator-prey systems are fundamental ecological models.
Purpose of the Study:
- To investigate the stability of singular Hopf bifurcation in planar predator-prey systems when the first Lyapunov coefficient is zero (A=0).
- To derive and present novel stability criteria for this specific bifurcation case.
- To extend understanding beyond existing results for supercritical (A<0) and subcritical (A>0) bifurcations.
Main Methods:
- Analysis of singular perturbation theory in the context of Hopf bifurcations.
- Derivation of stability criteria for planar predator-prey models.
- Application of methods to Leslie and Gause type predator-prey systems.
- Numerical simulations to validate analytical results.
Main Results:
- New stability criteria for singular Hopf bifurcation at A=0 in planar predator-prey systems are established.
- The analysis specifically addresses the gap in knowledge for the A=0 case.
- Numerical simulations confirm the derived analytical stability criteria.
Conclusions:
- This work provides a comprehensive understanding of singular Hopf bifurcation stability in predator-prey systems, especially for the previously unaddressed A=0 scenario.
- The findings contribute to the theoretical framework of ecological modeling and dynamical systems.
- The validated criteria enhance the predictive power of predator-prey models.
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