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Viability Kernels and Capture Basins for Analyzing the Dynamic Behavior: Lorenz Attractors, Julia Sets, and Hutchinson’s Maps

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Part of the book series: Progress in Nonlinear Differential Equations and Their Applications ((PNLDE,volume 75))

Abstract

Some issues on chaotic solutions, to Lorenz systems, for instance, are related to the concepts of viability kernels of subsets under continuous time systems, or in the case of Julia or Cantor sets, for instance, under discrete time systems.

It happens that viability kernels of subsets, capture basins of targets and the combination of the twos provide tools for the analysis of the local behavior around equilibria (local stable and unstable manifolds), the asymptotic behavior and the fluctuation of evolutions between two areas of a domain, etc.

Since algorithms and softwares do exist for computing the viability kernels and the capture basins, as well as evolutions viable in the viability kernel until they converge to a target in finite time, we are able to localize the attractor, to compute local stable and unstable manifolds, heteroclinical points, etc.

To Arrigo and Jim, for a happy mathematical continuation

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© 2007 Birkhäuser Verlag Basel/Switzerland

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Aubin, JP., Saint-Pierre, P. (2007). Viability Kernels and Capture Basins for Analyzing the Dynamic Behavior: Lorenz Attractors, Julia Sets, and Hutchinson’s Maps. In: Staicu, V. (eds) Differential Equations, Chaos and Variational Problems. Progress in Nonlinear Differential Equations and Their Applications, vol 75. Birkhäuser Basel. https://doi.org/10.1007/978-3-7643-8482-1_3

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