Softcover ISBN:  9780821844205 
Product Code:  STML/42 
List Price:  $59.00 
Individual Price:  $47.20 
eBook ISBN:  9781470421519 
Product Code:  STML/42.E 
List Price:  $49.00 
Individual Price:  $39.20 
Softcover ISBN:  9780821844205 
eBook: ISBN:  9781470421519 
Product Code:  STML/42.B 
List Price:  $108.00 $83.50 
Softcover ISBN:  9780821844205 
Product Code:  STML/42 
List Price:  $59.00 
Individual Price:  $47.20 
eBook ISBN:  9781470421519 
Product Code:  STML/42.E 
List Price:  $49.00 
Individual Price:  $39.20 
Softcover ISBN:  9780821844205 
eBook ISBN:  9781470421519 
Product Code:  STML/42.B 
List Price:  $108.00 $83.50 

Book DetailsStudent Mathematical LibraryVolume: 42; 2018; 262 ppMSC: Primary 37; 28; 54
This book is an introduction to basic concepts in ergodic theory such as recurrence, ergodicity, the ergodic theorem, mixing, and weak mixing. It does not assume knowledge of measure theory; all the results needed from measure theory are presented from scratch. In particular, the book includes a detailed construction of the Lebesgue measure on the real line and an introduction to measure spaces up to the Carathéodory extension theorem. It also develops the Lebesgue theory of integration, including the dominated convergence theorem and an introduction to the Lebesgue \(L^p\)spaces.
Several examples of a dynamical system are developed in detail to illustrate various dynamical concepts. These include in particular the baker's transformation, irrational rotations, the dyadic odometer, the Hajian–Kakutani transformation, the Gauss transformation, and the Chacón transformation. There is a detailed discussion of cutting and stacking transformations in ergodic theory. The book includes several exercises and some open questions to give the flavor of current research. The book also introduces some notions from topological dynamics, such as minimality, transitivity and symbolic spaces; and develops some metric topology, including the Baire category theorem.
ReadershipUndergraduate and graduate students interested in ergodic theory and measure theory.

Table of Contents

Chapters

Chapter 1. Introduction

Chapter 2. Lebesgue measure

Chapter 3. Recurrence and ergodicity

Chapter 4. The Lebesgue integral

Chapter 5. The ergodic theorem

Chapter 6. Mixing notions

Appendix A. Set notation and the completeness of $\mathbb {R}$

Appendix B. Topology of $\mathbb {R}$ and metric spaces


Additional Material

Reviews

...comprehensive in scope, uncovering key ideas ranging from Euclidean geometry to transformations to affine systems to nonEuclidean geometries. ...The authors neither cut corners nor 'wave' at neat ideas; rather, they try to connect everything via a quite rigorous development, complete with wellchosen exercises.
CHOICE Reviews 
The writing is crisp and clear. Proofs are written carefully with adequate levels of detail. Exercises are plentiful and wellintegrated with the text.
MAA Reviews 
I can only warmly recommend this book to students or as the basis for a course.
Monatshafte für Mathematik 
The author presents in a very pleasant and readable way an introduction to ergodic theory for measurepreserving transformations of probability spaces. In my opinion, the book provides guidelines, classical examples and useful ideas for an introductory course in ergodic theory to students that have not necessarily already been taught Lebesgue measure theory.
Elemente der Mathematik 
The book contains many (often easy or very easy) exercises, both in the text as well as at the end of each section.
Mathematical Reviews


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This book is an introduction to basic concepts in ergodic theory such as recurrence, ergodicity, the ergodic theorem, mixing, and weak mixing. It does not assume knowledge of measure theory; all the results needed from measure theory are presented from scratch. In particular, the book includes a detailed construction of the Lebesgue measure on the real line and an introduction to measure spaces up to the Carathéodory extension theorem. It also develops the Lebesgue theory of integration, including the dominated convergence theorem and an introduction to the Lebesgue \(L^p\)spaces.
Several examples of a dynamical system are developed in detail to illustrate various dynamical concepts. These include in particular the baker's transformation, irrational rotations, the dyadic odometer, the Hajian–Kakutani transformation, the Gauss transformation, and the Chacón transformation. There is a detailed discussion of cutting and stacking transformations in ergodic theory. The book includes several exercises and some open questions to give the flavor of current research. The book also introduces some notions from topological dynamics, such as minimality, transitivity and symbolic spaces; and develops some metric topology, including the Baire category theorem.
Undergraduate and graduate students interested in ergodic theory and measure theory.

Chapters

Chapter 1. Introduction

Chapter 2. Lebesgue measure

Chapter 3. Recurrence and ergodicity

Chapter 4. The Lebesgue integral

Chapter 5. The ergodic theorem

Chapter 6. Mixing notions

Appendix A. Set notation and the completeness of $\mathbb {R}$

Appendix B. Topology of $\mathbb {R}$ and metric spaces

...comprehensive in scope, uncovering key ideas ranging from Euclidean geometry to transformations to affine systems to nonEuclidean geometries. ...The authors neither cut corners nor 'wave' at neat ideas; rather, they try to connect everything via a quite rigorous development, complete with wellchosen exercises.
CHOICE Reviews 
The writing is crisp and clear. Proofs are written carefully with adequate levels of detail. Exercises are plentiful and wellintegrated with the text.
MAA Reviews 
I can only warmly recommend this book to students or as the basis for a course.
Monatshafte für Mathematik 
The author presents in a very pleasant and readable way an introduction to ergodic theory for measurepreserving transformations of probability spaces. In my opinion, the book provides guidelines, classical examples and useful ideas for an introductory course in ergodic theory to students that have not necessarily already been taught Lebesgue measure theory.
Elemente der Mathematik 
The book contains many (often easy or very easy) exercises, both in the text as well as at the end of each section.
Mathematical Reviews