Distance Expanding Random Mappings, Thermodynamical Formalism, Gibbs Measures and Fractal Geometry

The theory of random dynamical systems originated from stochastic differential equations. It is intended to provide a framework and techniques to describe and analyze the evolution of dynamical systems when the input and output data are known only approximately, according to some probability distrib...

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主要な著者: Mayer, Volker, 1964-...., mathématicien, Skorulski, Bartlomiej, 19..- (著者), Urbanski, Mariusz, 1958-...., mathématicien (著者)
フォーマット: Livre numérique
言語:Anglais
出版事項: Berlin, Heidelberg : Springer Berlin Heidelberg [20..].
Cham : Springer Nature
版:1st ed. 2011.
シリーズ:Lecture Notes in Mathematics 2036
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注記: L'impression du document génère 266 p.
Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
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Edition sous un autre format:• Distance expanding random mappings, thermodynamical formalism, Gibbs measures and fractal geometry, Volker Mayer, Bartlomiej Skorulski, Mariusz Urbanski, Heidelberg, Springer, 2011, 1 vol. (X-112 p.), Lecture notes in mathematics, 978-3-642-23649-5
• Distance expanding random mappings, thermodynamical formalism, Gibbs measures and fractal geometry, Volker Mayer, Bartlomiej Skorulski, Mariusz Urbanski, Heidelberg, Springer, 2011, 1 vol. (X-112 p.), Lecture notes in mathematics, 978-3-642-23649-5
• Distance Expanding Random Mappings, Thermodynamical Formalism, Gibbs Measures and Fractal Geometry, Texte imprimé, 9783642236518
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245 1 0 |a Distance Expanding Random Mappings, Thermodynamical Formalism, Gibbs Measures and Fractal Geometry   |c Volker Mayer, Mariusz Urbanski, Bartlomiej Skorulski. 
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260 |a Berlin, Heidelberg :  |b Springer Berlin Heidelberg. 
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505 1 |a 1 Introduction 2 Expanding Random Maps 3 The RPF-theorem 4 Measurability, Pressure and Gibbs Condition 5 Fractal Structure of Conformal Expanding Random Repellers 6 Multifractal Analysis 7 Expanding in the Mean 8 Classical Expanding Random Systems 9 Real Analyticity of Pressure. 
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520 |a The theory of random dynamical systems originated from stochastic differential equations. It is intended to provide a framework and techniques to describe and analyze the evolution of dynamical systems when the input and output data are known only approximately, according to some probability distribution. The development of this field, in both the theory and applications, has gone in many directions. In this manuscript we introduce measurable expanding random dynamical systems, develop the thermodynamical formalism and establish, in particular, the exponential decay of correlations and analyticity of the expected pressure although the spectral gap property does not hold. This theory is then used to investigate fractal properties of conformal random systems. We prove a Bowen's formula and develop the multifractal formalism of the Gibbs states. Depending on the behavior of the Birkhoff sums of the pressure function we arrive at a natural classification of the systems into two classes: quasi-deterministic systems, which share many properties of deterministic ones; and essentially random systems, which are rather generic and never bi-Lipschitz equivalent to deterministic systems. We show that in the essentially random case the Hausdorff measure vanishes, which refutes a conjecture by Bogenschutz and Ochs. Lastly, we present applications of our results to various specific conformal random systems and positively answer a question posed by Bruck and Buger concerning the Hausdorff dimension of quadratic random Julia sets. 
650 |a Systèmes dynamiques aléatoires 
650 |a Mesures de Gibbs 
650 |a Opérateurs de Ruelle 
650 |a Fractales 
650 |a Théorie ergodique 
650 |a Mathématiques 
700 1 |a Skorulski, Bartlomiej,  |d 19..-  |4 aut 
700 1 |a Urbanski, Mariusz,  |d 1958-....,  |c mathématicien.  |4 aut 
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776 0 |0 156729024  |t Distance expanding random mappings, thermodynamical formalism, Gibbs measures and fractal geometry  |f Volker Mayer, Bartlomiej Skorulski, Mariusz Urbanski  |c Heidelberg  |n Springer  |d 2011  |p 1 vol. (X-112 p.)  |s Lecture notes in mathematics  |z 978-3-642-23649-5 
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