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Canards, Folded Nodes, and Mixed-Mode Oscillations in Piecewise-Linear Slow-Fast Systems

机译:分段线性慢速系统中的Canards,折叠节点和混合模式振荡

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摘要

Canard-induced phenomena have been extensively studied in the last three decades, from both the mathematical and the application viewpoints. Canards in slow-fast systems with (at least) two slow variables, especially near folded-node singularities, give an essential generating mechanism for mixed-mode oscillations (MMOs) in the framework of smooth multiple timescale systems. There is a wealth of literature on such slow-fast dynamical systems and many models displaying canard-induced MMOs, particularly in neuroscience. In parallel, since the late 1990s several papers have shown that the canard phenomenon can be faithfully reproduced with piecewise-linear (PWL) systems in two dimensions, although very few results are available in the three-dimensional case. The present paper aims to bridge this gap by analyzing canonical PWL systems that display folded singularities, primary and secondary canards, with a similar control of the maximal winding number as in the smooth case. We also show that the singular phase portraits are compatible in both frameworks. Finally, we show using an example how to construct a (linear) global return and obtain robust PWL MMOs.
机译:在过去的三十年中,从数学和应用的角度对Canard引起的现象进行了广泛的研究。具有(至少)两个慢变量(特别是接近折叠节点奇点的变量)的慢快系统中的Canard在平稳的多个时标系统的框架内为混合模式振荡(MMO)提供了基本的生成机制。关于这样的慢速动力学系统有很多文献,许多模型显示了鸭诱导的MMO,特别是在神经科学中。同时,自1990年代后期以来,几篇论文表明,用二维分段线性(PWL)系统可以忠实地再现canard现象,尽管在三维情况下几乎没有结果。本文旨在通过分析显示折叠的奇异性,初级和次级鸭舌的规范PWL系统来弥合这一差距,并采用与平滑情况类似的最大绕组数控制。我们还表明,在两个框架中,奇异相画像都是兼容的。最后,我们通过一个示例演示如何构造(线性)全局收益并获得健壮的PWL MMO。

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