Author | Capiลski, Marek. author |
---|---|
Title | Measure, Integral and Probability [electronic resource] / by Marek Capiลski, Peter Ekkehard Kopp |
Imprint | London : Springer London, 2004 |
Edition | Second Edition |
Connect to | http://dx.doi.org/10.1007/978-1-4471-0645-6 |
Descript | XV, 311 p. 3 illus. online resource |
Content -- 1. Motivation and preliminaries -- 1.1 Notation and basic set theory -- 1.2 The Riemann integral: scope and limitations -- 1.3 Choosing numbers at random -- 2. Measure -- 2.1 Null sets -- 2.2 Outer measure -- 2.3 Lebesgue-measurable sets and Lebesgue measure -- 2.4 Basic properties of Lebesgue measure -- 2.5 Borel sets -- 2.6 Probability -- 2.7 Proofs of propositions -- 3. Measurable functions -- 3.1 The extended real line -- 3.2 Lebesgue-measurable functions -- 3.3 Examples -- 3.4 Properties -- 3.5 Probability -- 3.6 Proofs of propositions -- 4. Integral -- 4.1 Definition of the integral -- 4.2 Monotone convergence theorems -- 4.3 Integrable functions -- 4.4 The dominated convergence theorem -- 4.5 Relation to the Riemann integral -- 4.6 Approximation of measurable functions -- 4.7 Probability -- 4.8 Proofs of propositions -- 5. Spaces of integrable functions -- 5.1 The space L1 -- 5.2 The Hilbert space L2 -- 5.3 The LP spaces: completeness -- 5.4 Probability -- 5.5 Proofs of propositions -- 6. Product measures -- 6.1 Multi-dimensional Lebesgue measure -- 6.2 Product ?-fields -- 6.3 Construction of the product measure -- 6.4 Fubiniโs theorem -- 6.5 Probability -- 6.6 Proofs of propositions -- 7. The RadonโNikodym theorem -- 7.1 Densities and conditioning -- 7.2 The RadonโNikodym theorem -- 7.3 LebesgueโStieltjes measures -- 7.4 Probability -- 7.5 Proofs of propositions -- 8. LimitL theorems -- 8.1 Modes of convergence -- 8.2 Probability -- 8.3 Proofs of propositions -- Solutions -- References