Presentation 2009-08-04
Self-similarity in Neighborhood of Unstable Periodic Points of 2-Dimensional Discrete System
Kei NAGAO, Tetsushi UETA,
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Abstract(in English) We propose the method of detecting the unstable periodic points included in 2-dimensional discrete system chaos by using the directional coloring. The invariable pattern was found near the periodic points that had been visualized in a certain noninvertible map. The pattern forms the self-similar structure centering around the periodic points. The characteristic point of the pattern is an unstable periodic point. Therefore, if you can calculate one unstable periodic point from the pattern, the other unstable periodic points are specified for the periodic point by repeating the affine-transformation. When the distance of those unstable periodic points is calculated from the centered periodic points, the proportional at period n has been understood.
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Keyword(in English) Directional coloring / Unstable periodic point / Invariable pattern
Paper # NLP2009-59
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Committee NLP
Conference Date 2009/7/27(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) Self-similarity in Neighborhood of Unstable Periodic Points of 2-Dimensional Discrete System
Sub Title (in English)
Keyword(1) Directional coloring
Keyword(2) Unstable periodic point
Keyword(3) Invariable pattern
1st Author's Name Kei NAGAO
1st Author's Affiliation Department of Information Science and Intelligent Systems()
2nd Author's Name Tetsushi UETA
2nd Author's Affiliation Center for Advanced Information Technology
Date 2009-08-04
Paper # NLP2009-59
Volume (vol) vol.109
Number (no) 167
Page pp.pp.-
#Pages 5
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