Symbolic Thermodynamic Formalism and Statistics
Using the full power of countable alphabet thermodynamic formalism and modern functional analysis, the book presents a systematic treatment of the perturbative approach to open dynamical systems, covering those generated by a large class of naturally occurring holes through which the dynamical medium escapes. It highlights escape rates, conditionally invariant measures, surviving equilibrium states, and Hausdorff dimension of surviving sets.

1146002790
Symbolic Thermodynamic Formalism and Statistics
Using the full power of countable alphabet thermodynamic formalism and modern functional analysis, the book presents a systematic treatment of the perturbative approach to open dynamical systems, covering those generated by a large class of naturally occurring holes through which the dynamical medium escapes. It highlights escape rates, conditionally invariant measures, surviving equilibrium states, and Hausdorff dimension of surviving sets.

200.99 Pre Order
Symbolic Thermodynamic Formalism and Statistics

Symbolic Thermodynamic Formalism and Statistics

by De Gruyter
Symbolic Thermodynamic Formalism and Statistics

Symbolic Thermodynamic Formalism and Statistics

by De Gruyter

Hardcover

$200.99 
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    Available for Pre-Order. This item will be released on September 22, 2025

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Overview

Using the full power of countable alphabet thermodynamic formalism and modern functional analysis, the book presents a systematic treatment of the perturbative approach to open dynamical systems, covering those generated by a large class of naturally occurring holes through which the dynamical medium escapes. It highlights escape rates, conditionally invariant measures, surviving equilibrium states, and Hausdorff dimension of surviving sets.


Product Details

ISBN-13: 9783111034157
Publisher: De Gruyter
Publication date: 09/22/2025
Series: De Gruyter Expositions in Mathematics , #76
Pages: 665
Product dimensions: 6.69(w) x 9.45(h) x (d)
Age Range: 18 Years

About the Author

M. Urbański, U of North Texas; T. Das, U of Wisconsin, USA; G. Tiozzo, U of Toronto, Canada; A. Zdunik, U of Warsaw, Poland.

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