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Ergodic Theory : with a view towards Number Theory / by Manfred Einsiedler, Thomas Ward
(Graduate Texts in Mathematics. ISSN:21975612 ; 259)

Edition 1st ed. 2011.
Publisher (London : Springer London : Imprint: Springer)
Year 2011
Language English
Size XVII, 481 p : online resource
Authors *Einsiedler, Manfred author
Ward, Thomas author
SpringerLink (Online service)
Subjects LCSH:Dynamical systems
LCSH:Number theory
LCSH:Measure theory
FREE:Dynamical Systems
FREE:Number Theory
FREE:Measure and Integration
Notes Motivation -- Ergodicity, Recurrence and Mixing -- Continued Fractions -- Invariant Measures for Continuous Maps -- Conditional Measures and Algebras -- Factors and Joinings -- Furstenberg’s Proof of Szemeredi’s Theorem -- Actions of Locally Compact Groups -- Geodesic Flow on Quotients of the Hyperbolic Plane -- Nilrotation -- More Dynamics on Quotients of the Hyperbolic Plane -- Appendix A: Measure Theory -- Appendix B: Functional Analysis -- Appendix C: Topological Groups
This text is a rigorous introduction to ergodic theory, developing the machinery of conditional measures and expectations, mixing, and recurrence. Beginning by developing the basics of ergodic theory and progressing to describe some recent applications to number theory, this book goes beyond the standard texts in this topic. Applications include Weyl's polynomial equidistribution theorem, the ergodic proof of Szemeredi's theorem, the connection between the continued fraction map and the modular surface, and a proof of the equidistribution of horocycle orbits. Ergodic Theory with a view towards Number Theory will appeal to mathematicians with some standard background in measure theory and functional analysis. No background in ergodic theory or Lie theory is assumed, and a number of exercises and hints to problems are included, making this the perfect companion for graduate students and researchers in ergodic theory, homogenous dynamics or number theory
HTTP:URL=https://doi.org/10.1007/978-0-85729-021-2
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Springer eBooks 9780857290212
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Material Type E-Book
Classification LCC:QA843-871
DC23:515.39
ID 4000118680
ISBN 9780857290212

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