This is a perfect companion to any course on measure theory, integration, real and functional analysis, providing more than 300 examples and counterexamples to the otherwise often rather theoretical courses. By knowing 'what may go wrong' students will gain a better understanding of the standard course material.
This is a perfect companion to any course on measure theory, integration, real and functional analysis, providing more than 300 examples and counterexamples to the otherwise often rather theoretical courses. By knowing 'what may go wrong' students will gain a better understanding of the standard course material.
René L. Schilling is Professor of Probability Theory at Technische Universität Dresden. His research focuses on stochastic analysis and the theory of stochastic processes.
Inhaltsangabe
Preface User's guide List of topics and phenomena 1. A panorama of Lebesgue integration 2. A refresher of topology and ordinal numbers 3. Riemann is not enough 4. Families of sets 5. Set functions and measures 6. Range and support of a measure 7. Measurable and non-measurable sets 8. Measurable maps and functions 9. Inner and outer measure 10. Integrable functions 11. Modes of convergence 12. Convergence theorems 13. Continuity and a.e. continuity 14. Integration and differentiation 15. Measurability on product spaces 16. Product measures 17. Radon-Nikodým and related results 18. Function spaces 19. Convergence of measures References Index.
Preface User's guide List of topics and phenomena 1. A panorama of Lebesgue integration 2. A refresher of topology and ordinal numbers 3. Riemann is not enough 4. Families of sets 5. Set functions and measures 6. Range and support of a measure 7. Measurable and non-measurable sets 8. Measurable maps and functions 9. Inner and outer measure 10. Integrable functions 11. Modes of convergence 12. Convergence theorems 13. Continuity and a.e. continuity 14. Integration and differentiation 15. Measurability on product spaces 16. Product measures 17. Radon-Nikodým and related results 18. Function spaces 19. Convergence of measures References Index.
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