Presentation 2000/7/12
CAS2000-45 / NLP2000-53 Chaos, Ergodicity and Fractals in Discrete-state Chaotic Maps
Naoki MASUDA, Kazuyuki AIHARA,
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Abstract(in English) The understanding of discrete-state dynamical systems is important for application of chaos and interpretation of computer simulation with truncation errors. In this report, the asymptotic behavior of the invariant measure of discretized maps is studied. It is shown that the invariant measure converges to that of the continuous counterpart by interpreting the invariant measure with practically coarse observation precision, although it is not convergent in the strict sense. Accordingly, it is shown that the discretized maps typically have long orbits which reflect the ergodicity and the chaotic properties of the original maps. Moreover, the fractal structure inherent in the invariant measure of discretized maps are investigated.
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Keyword(in English) chaotic dynamicsal system / discretization / invariant measure / fractal
Paper # CAS2000-45,NLP2000-53
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Committee NLP
Conference Date 2000/7/12(1days)
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Registration To Nonlinear Problems (NLP)
Language ENG
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) CAS2000-45 / NLP2000-53 Chaos, Ergodicity and Fractals in Discrete-state Chaotic Maps
Sub Title (in English)
Keyword(1) chaotic dynamicsal system
Keyword(2) discretization
Keyword(3) invariant measure
Keyword(4) fractal
1st Author's Name Naoki MASUDA
1st Author's Affiliation Department of Mathematical Engineering and Information Physics, Graduate School of Engineering, The University of Tokyo:Research Fellow of the Japan Society for the Promotion of Science()
2nd Author's Name Kazuyuki AIHARA
2nd Author's Affiliation Department of Mathematical Engineering and Information Physics, Graduate School of Engineering, The University of Tokyo:CREST, Japan Science and Technology Co.(JST)
Date 2000/7/12
Paper # CAS2000-45,NLP2000-53
Volume (vol) vol.100
Number (no) 204
Page pp.pp.-
#Pages 8
Date of Issue