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Canards and curvature: the 'smallness of ε' in slow-fast dynamics

    Research output: Contribution to journalArticle (Academic Journal)peer-review

    33 Citations (Scopus)
    452 Downloads (Pure)

    Abstract

    A criterion for the existence of canards in singularly perturbed dynamical systems is presented. Canards are counterintuitive solutions that evolve along both attracting and repelling branches of invariant manifolds. In two dimensions, canards result in periodic oscillations whose amplitude and period grow in a highly nonlinear way: they are slowly varying with respect to a control parameter, except for an exponentially small range of values where they grow extremely rapidly. This sudden growth, called a canard explosion, has been encountered in many applications ranging from chemistry to neuronal dynamics, aerospace engineering and ecology. Here we give quantitative meaning to the frequently encountered statement that the singular perturbation parameter ε, which represents a ratio between fast and slow time scales, is “small enough” for canards to exist. If limit cycles exist, then the criterion expresses the condition that ε must be small enough for there to exist a set of zero-curvature in the neighbourhood of a repelling slow manifold, where orbits can develop inflection points, and thus form the non-convex cycles observed in a canard explosion. We apply the criterion to examples in two and three dimensions, namely to supercritical and subcritical forms of the van der Pol oscillator, and a prototypical three time scale system with slow passage through a canard explosion.
    Translated title of the contributionCanards and curvature: the "smallness of ε" in slow-fast dynamics
    Original languageEnglish
    Pages (from-to)2404 - 2421
    Number of pages18
    JournalProceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences
    Volume467
    Issue number2132
    Early online date27 Apr 2011
    DOIs
    Publication statusPublished - 8 Aug 2011

    Research Groups and Themes

    • Engineering Mathematics Research Group

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