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Canard phenomenon in a slow-fast modified Leslie-Gower model
B Ambrosio1, M A Aziz-Alaoui1, R Yafia2
1Normandie Univ, UNIHAVRE, LMAH, FR-CNRS-3335, ISCN, 76600 Le Havre, France.
Mathematical Biosciences
|November 7, 2017
Summary
This study applies geometrical singular perturbation theory to a predator-prey model with vastly different reproduction rates. Researchers quantified an attractive limit-cycle and observed the canard phenomenon near a folded singularity.
Area of Science:
- Mathematical Biology
- Dynamical Systems Theory
- Ecology
Background:
- Geometrical Singular Perturbation Theory (GSPT) effectively analyzes biological systems with disparate timescales.
- The Leslie-Gower model is a foundational predator-prey model in mathematical ecology.
- Previous analyses have not fully explored folded singularities in modified Leslie-Gower models.
Purpose of the Study:
- To apply GSPT to a modified Leslie-Gower predator-prey model featuring a significant prey reproduction advantage.
- To investigate the dynamics of a slow-fast system arising from a small parameter (ϵ) representing timescale differences.
- To analyze a novel folded singularity and its impact on system behavior.
Main Methods:
- Utilized geometrical singular perturbation theory (GSPT) to analyze the slow-fast system.
- Employed the blow-up technique to visualize and understand dynamics near the folded singularity.
- Applied classical regular and singular perturbation theory to analyze regions outside the fold.
Main Results:
- Quantified the attractive limit-cycle with a geometric approach, achieving an error of O(ϵ).
- Identified and analyzed a unique folded singularity not previously studied in this context.
- Demonstrated the presence of the canard phenomenon as the system trajectory crosses the folded singularity.
Conclusions:
- GSPT provides a robust framework for analyzing predator-prey models with significant timescale differences.
- The folded singularity and associated canard phenomenon significantly influence the model's dynamics.
- This analysis offers a precise quantification of ecological model behavior under perturbation.
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