Presentation 2002/8/27
Stochastic bifurcation analysis of a chaotic map in the presence of noise
Tomokazu HAYASHI, Shinji DOI, Sadatoshi KUMAGAI,
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Abstract(in English) We analyze the stochastic bifurcation phenomena in the presence of noise by using one-dimensional discrete-time dynamical systems. The evolution of probability density functions by the noisy Frobenius-Perron(FP) operator can describe the change of state in the system. A classical definition of a stochastic bifurcation of systems is based on the qualitative change of topological shapes of invariant densities. The invariant density or the eigenfunction of an eigenvalue 1 of the operator possesses only "static" information of the system while the other eigenvalues and eigenfunctions have "dynamic" information. We analyze the bifurcation and chaotic phenomena of the stochastic systems in terms of the eigenvalues in detail.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) bifurcation / Frobenius-Perron operator / chaos / noise
Paper # NLP2002-39
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Committee NLP
Conference Date 2002/8/27(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) Stochastic bifurcation analysis of a chaotic map in the presence of noise
Sub Title (in English)
Keyword(1) bifurcation
Keyword(2) Frobenius-Perron operator
Keyword(3) chaos
Keyword(4) noise
1st Author's Name Tomokazu HAYASHI
1st Author's Affiliation Department of Electrical Eng., Osaka University()
2nd Author's Name Shinji DOI
2nd Author's Affiliation Department of Electrical Eng., Osaka University
3rd Author's Name Sadatoshi KUMAGAI
3rd Author's Affiliation Department of Electrical Eng., Osaka University
Date 2002/8/27
Paper # NLP2002-39
Volume (vol) vol.102
Number (no) 297
Page pp.pp.-
#Pages 6
Date of Issue