Fourier Coefficients, Lyapunov Exponents, Invariant Measures and Chaos

碩士 === 國立交通大學 === 應用數學系所 === 94 === A complex and unpredictable frequency spectrum of a signal has long been seen in physics and engineering as an indication of a chaotic signal. The first step to understand such phenomenon mathematically was taken up by Chen, Hsu, Huang and Roque-Sol. In particul...

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Main Authors: Huan-Hsun Hsu, 許奐勛
Other Authors: Jonq Juang
Format: Others
Language:en_US
Published: 2006
Online Access:http://ndltd.ncl.edu.tw/handle/53092886363543993990
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spelling ndltd-TW-094NCTU55070152016-05-27T04:18:36Z http://ndltd.ncl.edu.tw/handle/53092886363543993990 Fourier Coefficients, Lyapunov Exponents, Invariant Measures and Chaos 傅利葉係數,黎阿普諾夫指數,不變測度及渾沌 Huan-Hsun Hsu 許奐勛 碩士 國立交通大學 應用數學系所 94 A complex and unpredictable frequency spectrum of a signal has long been seen in physics and engineering as an indication of a chaotic signal. The first step to understand such phenomenon mathematically was taken up by Chen, Hsu, Huang and Roque-Sol. In particular, they look for possible connections between chaotic dynamical systems and the behavior of its Fourier coefficients. Among other things, they found variety of sufficient conditions on the Fourier coefficients of the -th iterate of an interval map , for which the topological entropy of is positive. In this thesis, we explore the relationship between the Fourier coefficients of an interval map and its Lyapunov exponent and invariant measure. Specifically, the relationships between those three quantities of two family of interval maps, piecewise linear maps admitting a Markov partition and quadratic family, are considered. Jonq Juang 莊重 2006 學位論文 ; thesis 15 en_US
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language en_US
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description 碩士 === 國立交通大學 === 應用數學系所 === 94 === A complex and unpredictable frequency spectrum of a signal has long been seen in physics and engineering as an indication of a chaotic signal. The first step to understand such phenomenon mathematically was taken up by Chen, Hsu, Huang and Roque-Sol. In particular, they look for possible connections between chaotic dynamical systems and the behavior of its Fourier coefficients. Among other things, they found variety of sufficient conditions on the Fourier coefficients of the -th iterate of an interval map , for which the topological entropy of is positive. In this thesis, we explore the relationship between the Fourier coefficients of an interval map and its Lyapunov exponent and invariant measure. Specifically, the relationships between those three quantities of two family of interval maps, piecewise linear maps admitting a Markov partition and quadratic family, are considered.
author2 Jonq Juang
author_facet Jonq Juang
Huan-Hsun Hsu
許奐勛
author Huan-Hsun Hsu
許奐勛
spellingShingle Huan-Hsun Hsu
許奐勛
Fourier Coefficients, Lyapunov Exponents, Invariant Measures and Chaos
author_sort Huan-Hsun Hsu
title Fourier Coefficients, Lyapunov Exponents, Invariant Measures and Chaos
title_short Fourier Coefficients, Lyapunov Exponents, Invariant Measures and Chaos
title_full Fourier Coefficients, Lyapunov Exponents, Invariant Measures and Chaos
title_fullStr Fourier Coefficients, Lyapunov Exponents, Invariant Measures and Chaos
title_full_unstemmed Fourier Coefficients, Lyapunov Exponents, Invariant Measures and Chaos
title_sort fourier coefficients, lyapunov exponents, invariant measures and chaos
publishDate 2006
url http://ndltd.ncl.edu.tw/handle/53092886363543993990
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