2015
DOI: 10.1007/s00033-015-0552-8
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Extending the zero-derivative principle for slow–fast dynamical systems

Abstract: Document Version Peer reviewed version Link back to DTU Orbit Citation (APA):Benoît, E., Brøns, M., Desroches, M., & Krupa, M. (2015). Extending the zero-derivative principle for slow-fast dynamical systems. Zeitschrift fuer Angewandte Mathematik und Physik, 66(5), 2255-2270. DOI: 10.1007/s00033-015-0552-8 EXTENDING THE ZERO-DERIVATIVE PRINCIPLE FOR SLOW-FAST DYNAMICAL SYSTEMS ERIC BENOÎT, MORTEN BRØNS, MATHIEU DESROCHES, AND MARTIN KRUPAAbstract. Slow-fast systems often possess slow manifolds, that is invaria… Show more

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Cited by 11 publications
(12 citation statements)
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“…We hope to take advantage of this fact in future work. It is natural to wonder whether the LOR flow is topologically conjugate to the flow induced by (1). It can be computationally difficult to find a codomain on which Ψ is a homeomorphism.…”
Section: Benjamin Letson and Jonathan E Rubinmentioning
confidence: 99%
See 3 more Smart Citations
“…We hope to take advantage of this fact in future work. It is natural to wonder whether the LOR flow is topologically conjugate to the flow induced by (1). It can be computationally difficult to find a codomain on which Ψ is a homeomorphism.…”
Section: Benjamin Letson and Jonathan E Rubinmentioning
confidence: 99%
“…This example illustrates that when σ is a Frenet curve, K σ reduces to the matrix of curvatures. If we take σ(η) to be a trajectory of (1), then N f (η, ξ) = 0 andη| ξ=0 = 1.…”
Section: Hypersurfaces and Frenet Curvesmentioning
confidence: 99%
See 2 more Smart Citations
“…In the 2D case, this leads to the possibility of unfolding canards associated to the excitability threshold. More generally, curvature-based methods [23] and similar approaches such as the zero-derivative method [9] can approximate Fenichel slow manifolds to any order in ε in general N -dimensional systems (even without explicit timescale separation). However, they require a substantial computational effort and they also produce many spurious solutions known as ghosts; see [9] for details.…”
Section: Introductionmentioning
confidence: 99%