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Date: 23-9-2021
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Date: 14-11-2021
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Date: 22-8-2021
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Also known as metric entropy. Divide phase space into -dimensional hypercubes of content
. Let
be the probability that a trajectory is in hypercube
at
,
at
,
at
, etc. Then define
![]() |
(1) |
where is the information needed to predict which hypercube the trajectory will be in at
given trajectories up to
. The Kolmogorov entropy is then defined by
![]() |
(2) |
The Kolmogorov entropy is related to Lyapunov characteristic exponents by
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(3) |
REFERENCES:
Ott, E. Chaos in Dynamical Systems. New York: Cambridge University Press, p. 138, 1993.
Schuster, H. G. Deterministic Chaos: An Introduction, 3rd ed. New York: Wiley, p. 112, 1995.
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