Book contents
- Frontmatter
- Dedication
- Contents
- Contents of Volume II
- Preface
- Acknowledgments
- Introduction
- Part I Ergodic Theory and Geometric Measures
- 1 Geometric Measure Theory
- 2 Invariant Measures: Finite and Infinite
- 3 Probability (Finite) Invariant Measures: Basic Properties and Existence
- 4 Probability (Finite) Invariant Measures: Finer Properties
- 5 Infinite Invariant Measures: Finer Properties
- 6 Measure-Theoretic Entropy
- 7 Thermodynamic Formalism
- Part II Complex Analysis, Conformal Measures, and Graph Directed Markov Systems
- References
- Index of Symbols
- Subject Index
5 - Infinite Invariant Measures: Finer Properties
from Part I - Ergodic Theory and Geometric Measures
Published online by Cambridge University Press: 20 April 2023
- Frontmatter
- Dedication
- Contents
- Contents of Volume II
- Preface
- Acknowledgments
- Introduction
- Part I Ergodic Theory and Geometric Measures
- 1 Geometric Measure Theory
- 2 Invariant Measures: Finite and Infinite
- 3 Probability (Finite) Invariant Measures: Basic Properties and Existence
- 4 Probability (Finite) Invariant Measures: Finer Properties
- 5 Infinite Invariant Measures: Finer Properties
- 6 Measure-Theoretic Entropy
- 7 Thermodynamic Formalism
- Part II Complex Analysis, Conformal Measures, and Graph Directed Markov Systems
- References
- Index of Symbols
- Subject Index
Summary
In this chapter, we provide a classical account of Kolmogorov–Sinai metric entropy for measure-preserving dynamical systems. We prove the Shannon–McMillan–Breimann Theorem and, based on Abramov's Formula, define the concept of Krengel's Entropy of a conservative system preserving a (possibly infinite) invariant measure.
- Type
- Chapter
- Information
- Meromorphic DynamicsAbstract Ergodic Theory, Geometry, Graph Directed Markov Systems, and Conformal Measures, pp. 134 - 159Publisher: Cambridge University PressPrint publication year: 2023