Introduction to Ergodic Theory

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A01=Iakov Grigorevich Sinai
Abelian group
Algebraic extension
Allegory (category theory)
Author_Iakov Grigorevich Sinai
Automorphism
Basis (linear algebra)
Bijection
Category=PBG
Category=PBK
Central limit theorem
Classical mechanics
Continuous function (set theory)
Coordinate system
Differentiable manifold
Differential equation
Differential form
Dimension
Dimension (vector space)
Dot product
Dynamical system
Eigenfunction
Eigenvalues and eigenvectors
Endomorphism
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
Ergodic theory
Ergodicity
Existential quantification
Fourier series
Fuchsian group
Function (mathematics)
Galois extension
Gaussian measure
Gaussian process
Geodesic
Haar measure
Hamiltonian mechanics
Hamiltonian system
Ideal gas
Invariant measure
Jacobian matrix and determinant
Jacobian variety
Joint probability distribution
Lebesgue measure
Lecture
Markov chain
Measure (mathematics)
One-parameter group
P-adic number
Partial differential equation
Periodic function
Permutation
Phase space
Probability
Probability measure
Probability theory
Product measure
Riemann sum
Sign (mathematics)
Soren Kierkegaard
Stochastic calculus
Sturm-Liouville theory
Subsequence
Subset
Summation
Surface of revolution
Tangent space
Theorem
Theory
Total derivative
Two-dimensional space
Unit sphere
Variable (mathematics)
Variational principle
Vector field

Product details

  • ISBN 9780691081823
  • Weight: 227g
  • Dimensions: 152 x 229mm
  • Publication Date: 21 Mar 1977
  • Publisher: Princeton University Press
  • Publication City/Country: US
  • Product Form: Paperback
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Based on lectures in Erevan, this exposition of ergodic theory contains a rich collection of examples well chosen to introduce the reader to the main themes of the subject. Topics discussed include existence of invariant measures, geodesic flows on Riemannian manifolds, ergodic theory of an ideal gas, and entropy of dynamical systems.

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