R. Roussarie
UMR 5584, B.P. 47870, F-21078, Dijon Cedex, France
Institut de Mathematiques de Bourgogne, CNRS, Universite de Bourgogne
Publications:
De Maesschalck P., Dumortier F., Roussarie R.
Side-Comparison for Transition Maps in Multi-Layer Canard Problems
2023, vol. 28, nos. 4-5, pp. 763-780
Abstract
The paper deals with multi-layer canard cycles, extending the results of [1]. As a practical tool we introduce the connection diagram of a canard cycle and we show how to determine it in an easy way. This connection diagram presents in a clear way all available information that is necessary to formulate the main system of equations used in the study of the bifurcating limit cycles. In a forthcoming paper we will show that both the type of the layers and the nature of the connections between the layers play an essential role in determining the number and the bifurcations of the limit cycles that can be created from a canard cycle.
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Broer H. W., Naudot V., Roussarie R., Saleh K.
A predator-prey model with non-monotonic response function
2006, vol. 11, no. 2, pp. 155-165
Abstract
We study the dynamics of a family of planar vector fields that models certain populations of predators and their prey. This model is adapted from the standard Volterra–Lotka system by taking into account group defense, competition between prey and competition between predators. Also we initiate computer-assisted research on time-periodic perturbations, which model seasonal dependence.
We are interested in persistent features. For the planar autonomous model this amounts to structurally stable phase portraits. We focus on the attractors, where it turns out that multi-stability occurs. Further, we study the bifurcations between the various domains of structural stability. It is possible to fix the values of two of the parameters and study the bifurcations in terms of the remaining three. We find several codimension 3 bifurcations that form organizing centers for the global bifurcation set. Studying the time-periodic system, our main interest is the chaotic dynamics. We plot several numerical examples of strange attractors. |