Probability theory I Prof. Dr. Alexander Drewitz Universit¨at zu K¨oln Preliminary version of July 16, 2019 If you spot any typos or mistakes, please drop an email to
[email protected]. 2 Contents 1 Set functions 5 1.1 Systems of sets ..................................... 5 1.1.1 Semirings, rings, and algebras ......................... 5 1.1.2 σ-algebras and Dynkin systems ........................ 11 1.2 Set functions ...................................... 17 1.2.1 Properties of set functions ........................... 17 1.3 Carath´eodory’s extension theorem (‘Maßerweiterungssatz’) ............ 25 1.3.1 Lebesgue measure ............................... 29 1.3.2 Lebesgue-Stieltjes measure .......................... 31 1.4 Measurable functions, random variables ....................... 32 1.5 Image measures, distributions ............................. 38 2 The Lebesgue integral 41 2.0.1 Integrals of simple functions .......................... 41 2.0.2 Lebesgue integral for measurable functions ................. 43 2.0.3 Lebesgue vs. Riemann integral ........................ 46 2.1 Convergence theorems ................................. 47 2.1.1 Dominated and monotone convergence .................... 47 2.2 Measures with densities, absolute continuity ..................... 50 2.2.1 Almost sure / almost everywhere properties ................. 50 2.2.2 Hahn-Jordan decomposition .......................... 53 2.2.3 Lebesgue’s decomposition theorem, Radon-Nikodym derivative ...... 55 2.2.4 Integration with respect to image measures ................