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Chaos, Predictability and Astronomy

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Predictability of Chaotic Dynamics

Part of the book series: Springer Series in Synergetics ((SSSYN))

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Abstract

We have seen in the previous chapters the impact of the presence of chaos in a given dynamical system. Furthermore, we have seen the importance of assessing the predictability of a given model through the use of the finite-time Lyapunov exponent distributions.

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Notes

  1. 1.

    Indeed, only in 1942 the German mathematician Carl Siegel could show the convergence for one series of these characteristics.

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Authors and Affiliations

  1. Departamento de Fisica, Universidad Rey Juan Carlos, Móstoles, Madrid, Spain

    Juan C. Vallejo & Miguel A. F. Sanjuan

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  1. Juan C. Vallejo
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  2. Miguel A. F. Sanjuan
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Vallejo, J.C., Sanjuan, M.A.F. (2019). Chaos, Predictability and Astronomy. In: Predictability of Chaotic Dynamics . Springer Series in Synergetics. Springer, Cham. https://doi.org/10.1007/978-3-030-28630-9_5

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