A systematic study of two-dimensional 2-layer canard cycles

Abstract The paper deals with two-dimensional 2-layer canard cycles, extending the results of Dumortier and Roussarie (2007 Discrete Contin. Dyn. Syst. 17 787–806) and continuing the approach started in De Maesschalck et al (2023 Regul. Chaotic Dyn. 28 763–80). We provide precise results on the number and the bifurcations of the limit cycles that can be created from the canard cycles, confirming that both the type of the layers and the nature of the connections between the layers make a difference. We also prove an upper bound on the cyclicity of a large class of two-dimensional 2-layer canard cycles.

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Publication Details

Journal
Nonlinearity
Published
2025-04-22
DOI
https://doi.org/10.1088/1361-6544/adc96a
Primary Topic
Advanced Differential Equations and Dynamical Systems
Type
article
Field-Weighted Citation Impact
0.00

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article

A systematic study of two-dimensional 2-layer canard cycles

Peter De Maesschalck, Robert Roussarie, Freddy Dumortier
Nonlinearity
Advanced Differential Equations and Dynamical Systems
article

A systematic study of two-dimensional 2-layer canard cycles

Peter De Maesschalck, Robert Roussarie, Freddy Dumortier
article en

Abstract

Abstract The paper deals with two-dimensional 2-layer canard cycles, extending the results of Dumortier and Roussarie (2007 Discrete Contin. Dyn. Syst. 17 787–806) and continuing the approach started in De Maesschalck et al (2023 Regul. Chaotic Dyn. 28 763–80). We provide precise results on the number and the bifurcations of the limit cycles that can be created from the canard cycles, confirming that both the type of the layers and the nature of the connections between the layers make a difference. We also prove an upper bound on the cyclicity of a large class of two-dimensional 2-layer canard cycles.

NonlinearityVol. 38(5)
Centre National de la Recherche Scientifique (FR), Institut de Mathématiques de Bourgogne (FR), Hasselt University (BE)
Fonds Wetenschappelijk Onderzoek
Openalex Percentile: Top 87%
Advanced Differential Equations and Dynamical Systems
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