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Date: 11-2-2016
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Date: 14-11-2021
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Date: 16-12-2021
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Define the "information function" to be
(1) |
where is the natural measure, or probability that element is populated, normalized such that
(2) |
The information dimension is then defined by
(3) |
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(4) |
If every element is equally likely to be visited, then is independent of , and
(5) |
so
(6) |
and
(7) |
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(8) |
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(9) |
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(10) |
where is the capacity dimension.
It satisfies
(11) |
where is the capacity dimension and is the correlation dimension (correcting the typo in Baker and Gollub 1996).
REFERENCES:
Baker, G. L. and Gollub, J. B. Chaotic Dynamics: An Introduction, 2nd ed. Cambridge, England: Cambridge University Press, 1996.
Balatoni, J. and Renyi, A. Pub. Math. Inst. Hungarian Acad. Sci. 1, 9, 1956.
Farmer, J. D. "Chaotic Attractors of an Infinite-dimensional Dynamical System." Physica D 4, 366-393, 1982.
Ott, E. Chaos in Dynamical Systems. New York: Cambridge University Press, p. 79, 1993.
Nayfeh, A. H. and Balachandran, B. Applied Nonlinear Dynamics: Analytical, Computational, and Experimental Methods. New York: Wiley, pp. 545-547, 1995.
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