Slow passage through a Hopf-like bifurcation in piecewise linear systems: Application to elliptic bursting

Author:

Penalva J.1ORCID,Desroches M.2ORCID,Teruel A. E.1ORCID,Vich C.1ORCID

Affiliation:

1. Departament de Matemàtiques i Informàtica & IAC3, Universitat de les Illes Balears, Palma 07122, Spain

2. MathNeuro Project-Team, Inria at Université Côte d’Azur, Sophia Antipolis 06902, France

Abstract

The phenomenon of slow passage through a Hopf bifurcation is ubiquitous in multiple-timescale dynamical systems, where a slowly varying quantity replacing a static parameter induces the solutions of the resulting slow–fast system to feel the effect of the Hopf bifurcation with a delay. This phenomenon is well understood in the context of smooth slow–fast dynamical systems; in the present work, we study it for the first time in piecewise linear (PWL) slow–fast systems. This special class of systems is indeed known to reproduce all features of their smooth counterpart while being more amenable to quantitative analysis and offering some level of simplification, in particular, through the existence of canonical (linear) slow manifolds. We provide conditions for a PWL slow–fast system to exhibit a slow passage through a Hopf-like bifurcation, in link with possible connections between canonical attracting and repelling slow manifolds. In doing so, we fully describe the so-called way-in/way-out function. Finally, we investigate this slow passage effect in the Doi–Kumagai model, a neuronal PWL model exhibiting elliptic bursting oscillations.

Funder

Ministerio de Ciencia e Innovación

Ministerio de Economía y Competitividad

Publisher

AIP Publishing

Subject

Applied Mathematics,General Physics and Astronomy,Mathematical Physics,Statistical and Nonlinear Physics

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Rate and memory effects in bifurcation-induced tipping;Physical Review E;2023-08-03

2. Beyond the Bristol book: Advances and perspectives in non-smooth dynamics and applications;Chaos: An Interdisciplinary Journal of Nonlinear Science;2023-01-01

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