Example dynamical systems

# LyapunovExponents.Examples.ExampleBase.LEDemoType.

LEDemo(example::LEExample; <keyword arguments>)

Here is an example code for constructing an example dynamical system, calculate its LEs and plot them:

using LyapunovExponents
using Plots
demo = solve!(LyapunovExponents.lorenz_63())
plot(demo)

Create a LEDemo holding an example and an appropriate LEProblem created from the example.

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# LyapunovExponents.Examples.ExampleBase.LEExampleType.

A type to hold an example dynamical system and its known Lyapunov exponents.

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Discrete systems

# LyapunovExponents.Examples.HenonMap.henon_mapFunction.

Return a LEDemo for the Hénon map.

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# LyapunovExponents.Examples.LoziMap.lozi_mapFunction.

Return a LEDemo for the Lozi map.

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# LyapunovExponents.Examples.StandardMap.standard_mapFunction.

Return a LEDemo for the Chirikov standard map.

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# LyapunovExponents.Examples.BakersMap.bakers_mapFunction.

Baker's map

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# LyapunovExponents.Examples.ArnoldCatMap.arnold_cat_mapFunction.

Return a LEDemo for the Arnold's cat map

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Continuous systems

# LyapunovExponents.Examples.Lorenz63.lorenz_63Function.

Return a LEDemo for the Lorenz system.

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# LyapunovExponents.Examples.LinzSprott99.linz_sprott_99Function.

Return a LEDemo for the simplest piecewise linear dissipative chaotic flow.

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# LyapunovExponents.Examples.VanDerPol.van_der_polFunction.

Return a LEDemo for the van der Pol oscillator with periodic forcing.

.known_exponents are extracted from Figure 6 of Geist, Parlitz & Lauterborn (1990).

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# LyapunovExponents.Examples.RNN.beer_95Function.

Return a LEDemo for a low-dimensional chaotic continuous-time recurrent neural networks by Beer (1995).

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