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| The lectures are devoted to basic properties of measureble dynamical systems, properties
like recurrence, ergodicity and mixing being discussed in detail. 
 Last update: T_KPMS (16.05.2013)
                                
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| Students will learn basic results about measurable dynamical systems. 
 Last update: T_KPMS (16.05.2013)
                                
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| Oral exam. Last update: Zichová Jitka, RNDr., Dr. (13.05.2023)
                                
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| P. Walters: An Introduction to Ergodic Theory, Springer, 1982. 
 K. Petersen: Ergodic Theory, Cambridge Univ. Press, 1983 Last update: T_KPMS (16.05.2013)
                                
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| Lecture. Last update: T_KPMS (16.05.2013)
                                
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| Oral exam according to sylabus. Last update: Zichová Jitka, RNDr., Dr. (13.05.2023)
                                
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| 1. Endomorphisms and automorphisms of probability spaces. 
 2. The Poincaré recurrence theorem. 
 3. The Birkhoff ergodic theorem and its consequences. 
 4. Examples. 
 5. Entropy and isomorphism of dynamical systems. Last update: T_KPMS (16.05.2013)
                                
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| Students should be acquianted with reasonably advanced mathematical analysis, in particular with measure theory and very basic notions of functional analysis. Last update: Seidler Jan, RNDr., CSc. (28.05.2019)
                                
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