Presentation 1997/10/6
A new analysis method of stochastic bifurcations in a one-dimensional mapping with noise
Junko Inoue, Shinji Doi, Sadatoshi Kumagai,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) A One-dimensional (1D) map with chaotic dynamics or noisy 1D map can be studied in terms of the invariant density of the Frobenius-Perron (FP) operator of the map. The invariant density or the eigenfunction of the eigenvalue 1 possesses an 'static' information of the noisy one-dimensional dynamics while the other eigenvalues and eigenfunctions have a 'dynamic' information. By demonstrating the spectral analysis of the FP operator of a noisy sine-circle map, we propose a new method to detect the bifurcation point of 1D mapping even in the presence of noise in terms of the spectra of the FP operator.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Stochastic Bifurcation / sine-circle Map / Spectral Analysis / Markov Operator / Frobenius-Perron Operator
Paper # NLP97-85-98
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Committee NLP
Conference Date 1997/10/6(1days)
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Registration To Nonlinear Problems (NLP)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) A new analysis method of stochastic bifurcations in a one-dimensional mapping with noise
Sub Title (in English)
Keyword(1) Stochastic Bifurcation
Keyword(2) sine-circle Map
Keyword(3) Spectral Analysis
Keyword(4) Markov Operator
Keyword(5) Frobenius-Perron Operator
1st Author's Name Junko Inoue
1st Author's Affiliation Department of Computer and Business, Koka Women's College()
2nd Author's Name Shinji Doi
2nd Author's Affiliation Department of Electrical Engineering, Faculty of Engineering, Osaka University
3rd Author's Name Sadatoshi Kumagai
3rd Author's Affiliation Department of Electrical Engineering, Faculty of Engineering, Osaka University
Date 1997/10/6
Paper # NLP97-85-98
Volume (vol) vol.97
Number (no) 300
Page pp.pp.-
#Pages 8
Date of Issue