European Congress of Mathematics 2001
DOI: 10.1007/978-3-0348-8268-2_11
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Spectrum and Statistical Properties of Chaotic Dynamics

Abstract: Abstract. We present new developments on the statistical properties of chaotic dynamical systems. We concentrate on the existence of an ergodic physical (SRB) invariant measure and its mixing properties, in particular decay of its correlation functions for smooth observables. In many cases, there is a connection (via the spectrum of a Ruelle-Perron-Frobenius transfer operator) with the analytic properties of a weighted dynamical zeta function, weighted dynamical Lefschetz function, or dynamical Ruelle-Fredholm… Show more

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Cited by 5 publications
(5 citation statements)
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References 84 publications
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“…It is a classical result from ergodic theory [14,15] that correlations between observables vanish for time lags going to infinity only if there is no eigenvalue of the transfer operator P µ in the complex unit circle other than the eigenvalue 1. A more difficult problem, which is still a matter of invest igation [16,17], is to characterise the rate at which correlations decay with time [18,19]. This rate depends on the position inside the unit disk of the complex plane of the eigenvalues of transfer operators acting on anisotropic Banach spaces adapted to the dynamics of contraction and expansion of chaotic systems [20][21][22][23][24][25].…”
Section: Introductionmentioning
confidence: 99%
“…It is a classical result from ergodic theory [14,15] that correlations between observables vanish for time lags going to infinity only if there is no eigenvalue of the transfer operator P µ in the complex unit circle other than the eigenvalue 1. A more difficult problem, which is still a matter of invest igation [16,17], is to characterise the rate at which correlations decay with time [18,19]. This rate depends on the position inside the unit disk of the complex plane of the eigenvalues of transfer operators acting on anisotropic Banach spaces adapted to the dynamics of contraction and expansion of chaotic systems [20][21][22][23][24][25].…”
Section: Introductionmentioning
confidence: 99%
“…Before that, other methods had been developed (in dimensions one and higher, and under various assumptions of expansion, hyperbolicity, and/or regularity) in the continuation of the Markov approach of Section 1. In this introductory section, we first give a very brief and incomplete presentation of some of the results obtained by these older methods between 1976 and now, referring to [Ba1,Ba3] for more general surveys; we then give a very brief presentation of the key result of Milnor and Thurston which inspired the new kneading approach.…”
Section: Kneading Theory In Dimension Onementioning
confidence: 99%
“…The spectral theory of the transfer operator is more technical (for example it is not obvious which Banach space to use!). The survey [Ba3] contains references to the results of Saussol, Buzzi, Tsujii, and others. A version of the Hofbauer tower can be constructed, and Buzzi and Keller [BK] recently used it to prove an analogue of Theorem 2 from Section 1 in the case when f is piecewise affine, piecewise expanding (in higher dimensions), and not necessarily Markov.…”
Section: Kneading Theory In Dimension Onementioning
confidence: 99%
“…This type of spectrum was first put in evidence in the case of uniformly hyperbolic maps by using Markov partitions to translate the dynamics on the phase space into a simple symbolic dynamics (namely a subshift of finite type) [40]. It was later extended to more general systems, including non-uniformly hyperbolic ones [4]. In the next sections, we will introduce the Anosov diffeomorphisms on the torus, which often serve as a 'model' for deterministic chaos.…”
Section: Exponential Mixingmentioning
confidence: 99%
“…The example of irrational translations shows that ergodicity does not imply the presence of a gap. Exponential mixing was recently proven for some non-uniformly or partially hyperbolic maps (see [4] for a review of recent results), which should (?) imply a gap in the spectrum of P .…”
Section: General Conclusionmentioning
confidence: 99%