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AuthorKifer, Yuri. author
TitleErgodic Theory of Random Transformations [electronic resource] / by Yuri Kifer
ImprintBoston, MA : Birkhรคuser Boston, 1986
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Descript X, 210 p. online resource


Ergodic theory of dynamical systems i.e., the qualitative analysis of iterations of a single transformation is nowadays a well developed theory. In 1945 S. Ulam and J. von Neumann in their short note [44] suggested to study ergodic theorems for the more general situation when one applies in turn different transformaยญ tions chosen at random. Their program was fulfilled by S. Kakutani [23] in 1951. 'Both papers considered the case of transformations with a common invariant measure. Recently Ohno [38] noticed that this condition was excessive. Ergodic theorems are just the beginning of ergodic theory. Among further major developments are the notions of entropy and characteristic exponents. The purpose of this book is the study of the variety of ergodic theoretical properties of evolution processes generated by independent applications of transformations chosen at random from a certain class according to some probability distribution. The book exhibits the first systematic treatment of ergodic theory of random transformations i.e., an analysis of composed actions of independent random maps. This set up allows a unified approach to many problems of dynamical systems, products of random matrices and stochastic flows generated by stochastic differential equations


I. General analysis of random maps -- 1.1. Markov chains as compositions of random maps -- 1.2. Invariant measures and ergodicity -- 1.3. Characteristic exponents in metric spaces -- II. Entropy characteristics of random transformations -- 2.1. Measure theoretic entropies -- 2.2. Topological entropy -- 2.3. Topological pressure -- III. Random bundle maps -- 3.1. Oseledecโ{128}{153}s theorem and the โ{128}{156}non-randomโ{128}{157} multiplicative ergodic theorem -- 3.2. Biggest characteristic exponent -- 3.3. Filtration of invariant subbundles -- IV. Further study of invariant subbundles and characteristic exponents -- 4.1. Continuity of invariant subbundles -- 4.2 Stability of the biggest exponent -- 4.3. Exponential growth rates -- V. Smooth random transformations -- 5.1. Random diffeomorphisms -- 5.2. Stochastic flows -- A. 1. Ergodic decompositions -- A.2. Subadditive ergodic theorem -- References

Mathematics Matrix theory Algebra Dynamics Ergodic theory Partial differential equations Probabilities Mathematics Dynamical Systems and Ergodic Theory Probability Theory and Stochastic Processes Partial Differential Equations Linear and Multilinear Algebras Matrix Theory


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