Lyapunov Spectrum for Invertible Maps

Python code to calculate the Lyapunov Spectrum for maps using the method proposed by Wolf et al. involving Gram-Schmidt reorthonormalization.

This code was tested on several invertible maps: Henon Map, Delayed Logistic Map, Burger Map, and Tinkerbell Map. The code is adaptable for other maps, though more complex maps have not been tested. One problem that I had with producing and testing the code was linearizing the maps, this can be done by following the fairly straight-forward procedure in Wolf et al. on Page 291 and 292 for the Henon map. If you use this code, please let me know, I would be interested in learning about how you used it.

Adapted strongly from: http://sprott.physics.wisc.edu/chaos/wolfmap.bas and based on research by Wolf et al. http://www.lavi.coppe.ufrj.br/~savi/Ensino/Caos/Wolf_etal_1985.pdf

See the Code:
le-spectrum-map.py

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