Preface | p. ix |
Introduction and preliminaries | p. 1 |
The basic questions of ergodic theory | p. 1 |
The basic examples | p. 5 |
Hamiltonian dynamics | |
Stationary stochastic processes | |
Bernoulli shifts | |
Markov shifts | |
Rotations of the circle | |
Rotations of compact abelian groups | |
Automorphisms of compact groups | |
Gaussian systems | |
Geodesic flows | |
Horocycle flows | |
Flows and automorphisms on homogeneous spaces | |
The basic constructions | p. 10 |
Factors | |
Products | |
Skew products | |
Flow under a function | |
Induced transformations | |
Inverse limits | |
Natural extensions | |
Some useful facts from measure theory and functional analysis | p. 13 |
Change of variables | |
Proofs by approximation | |
Measure algebras and Lebesgue spaces | |
Conditional expectation | |
The Spectral Theorem | |
Topological groups, Haar measure, and character groups | |
The fundamentals of ergodic theory | p. 23 |
The Mean Ergodic Theorem | p. 23 |
The Pointwise Ergodic Theorem | p. 27 |
Recurrence | p. 33 |
Ergodicity | p. 41 |
Strong mixing | p. 57 |
Weak mixing | p. 64 |
More about almost everywhere convergence | p. 74 |
More about the Maximal Ergodic Theorem | p. 74 |
Positive contractions | |
The maximal equality | |
Sign changes of the partial sums | |
The Dominated Ergodic Theorem and its converse | |
More about the Pointwise Ergodic Theorem | p. 90 |
Maximal inequalities and convergence theorems | |
The speed of convergence in the Ergodic Theorem | |
Differentiation of integrals and the Local Ergodic Theorem | p. 100 |
The Martingale convergence theorems | p. 103 |
The maximal inequality for the Hilbert transform | p. 107 |
The ergodic Hilbert transform | p. 113 |
The filling scheme | p. 119 |
The Chacon-Ornstein Theorem | p. 126 |
More about recurrence | p. 133 |
Construction of eigenfunctions | p. 133 |
Existence of rigid factors | |
Almost periodicity | |
Construction of the eigenfunction | |
Some topological dynamics | p. 150 |
Recurrence | |
Topological ergodicity and mixing | |
Equicontinuous and distal cascades | |
Uniform distribution mod 1 | |
Structure of distal cascades | |
The Szemeredi Theorem | p. 162 |
Furstenberg's approach to the Szemeredi and van der Waerden Theorems | |
Topological multiple recurrence, van der Waerden's Theorem, and Hindman's Theorem | |
Weak mixing implies weak mixing of all orders along multiples | |
Outline of the proof of the Furstenberg-Katznelson Theorem | |
The topological representation of ergodic transformations | p. 186 |
Preliminaries | |
Recurrence along IP-sets | |
Perturbation to uniformity | |
Uniform polynomials | |
Conclusion of the argument | |
Two examples | p. 209 |
Metric weak mixing without topological strong mixing | |
A prime transformation | |
Entropy | p. 227 |
Entropy in physics, information theory, and ergodic theory | p. 227 |
Physics | |
Information theory | |
Ergodic theory | |
Information and conditioning | p. 234 |
Generators and the Kolmogorov-Sinai Theorem | p. 243 |
More about entropy | p. 249 |
More examples of the computation of entropy | p. 249 |
Entropy of an automorphism of the torus | |
Entropy of a skew product | |
Entropy of an induced transformation | |
The Shannon-McMillan-Breiman Theorem | p. 259 |
Topological entropy | p. 264 |
Introduction to Ornstein Theory | p. 273 |
Finitary coding between Bernoulli shifts | p. 281 |
Sketch of the proof | |
Reduction to the case of a common weight | |
Framing the code | |
What to put in the blanks | |
Sociology | |
Construction of the isomorphism | |
References | p. 302 |
Index | p. 322 |
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