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  • Ergodic Theory: A Probabilistic Approach to Dynamical Systems

    Ergodic Theory by Blumenthal, Alex; Young, Lai-Sang;

    A Probabilistic Approach to Dynamical Systems

    Series: Texts in Applied Mathematics;

      • GET 12% OFF

      • Publisher's listprice EUR 64.19
      • The price is estimated because at the time of ordering we do not know what conversion rates will apply to HUF / product currency when the book arrives. In case HUF is weaker, the price increases slightly, in case HUF is stronger, the price goes lower slightly.

        25 072 Ft (23 878 Ft + 5% VAT)
      • Discount 12% (cc. 3 009 Ft off)
      • Discounted price 22 063 Ft (21 013 Ft + 5% VAT)

    22 063 Ft

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    Product details:

    • Publisher Springer Nature Switzerland
    • Date of Publication 18 May 2026

    • ISBN 9783032088352
    • Binding Hardback
    • No. of pages209 pages
    • Size 235x155 mm
    • Language English
    • Illustrations XIX, 209 p. 7 illus.
    • 700

    Categories

    Long description:

    "

    Ergodic theory provides a powerful lens for understanding dynamical systems, recasting disordered and seemingly random behavior in the language of probability theory. This book offers a concise, rigorous introduction to the subject, suitable both as a graduate-level textbook and as a reference for both pure and applied mathematicians.

    • Part I (Chapters 1–7) lays the foundation, covering invariant measures, measure-theoretic isomorphisms, ergodicity, mixing, entropy, and culminating in the Shannon–McMillan–Breiman Theorem.
    • Part II (Chapters 8–13) shifts focus to continuous maps of metric spaces, exploring the collection of invariant measures corresponding to a given map.
    • Part III (Chapters 14–16) presents advanced topics rarely found in textbooks at this level, including SRB measures, their deep connection to entropy and Lyapunov exponents, and extensions to two important settings: random and infinite-dimensional dynamical systems.

    Throughout, the authors emphasize not only the mathematical elegance of ergodic theory but also its practical relevance and rich connections to other areas of mathematics, from information theory to stochastic processes.

    "

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    Table of Contents:

    Measure-preserving transformations.- Three basic concepts: recurrence, ergodicity and isomorphisms.- Ergodic theorems.- A hierarchy of mixing properties.- Operations on measure-preserving transformations.- Entropy.- The Shannon-McMillan-Breiman Theorem.- Invariant measures for continuous maps.- Topological dynamics.- Lyapunov exponents.- Ingredients in the proof of the Multiplicative Ergodic Theorem.- Differentiable maps and invariant densities.- Linear operators associated to dynamical systems.- Smooth ergodic theory.- Random dynamical systems.- Infinite-dimensional dynamical systems.

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