Measure Theory for Probabilists

Prof. Dr. Peter Pfaffelhuber

Samuel Adeosun

This is an online course which is given at the University of Freiburg.

Requirements: If you want to have a Studienleistung, you must hand in parts of the exercises. Please contact Peter Pfaffelhuber if you want to do so.

Content: The course covers the material which is usually needed in order to dive into measure theoretic aspects of probability theory. Usually, in basic lectures on probability (e.g. taught in Freiburg as Stochastik 1 in the 3rd semester), no measure theory is needed. Rather, the lecture in Analysis 3 covers measure theory. However, in case you want to specialize in probability theory and did not attend Analysis 3, this course is for you.

Prerequisites: You need to know fundamentals of mathematics, such as sets, functions etc. The course requires some knowledge in topology, but tries to recall all explanations in this field.

Manuscript: The current version is here.

Videos: Below you find links to all Videos, or you look at the playlist. A collection of all slides is here.

Exercises: You can find the exercises as part of the manuscript.

1. Introduction

Some introductory remarks

Slides

2. Semi-rings and σ-fields

Covers Section 1.1

Slides

3. Generators and extensions

Covers Section 1.2, and includes some repetition in topology (Appendix A)

Slides

4. Dynkin systems and compact systems

Covers Sections 1.3 and 1.4

Slides

5. Set functions and outer measures

Covers Section 2.1

Slides

6. σ-additivity

Covers Section 1.2, and includes some repetition in topology (Appendix A)

Slides

7. Uniqueness and extension of set functions

Covers Section 2.3

Slides

8. Measures on ℝ and image measures

Covers Sections 2.4 and 2.5

Slides

9. Approximation of measurable functions

Slides

Covers Section 3.1

10. Defining the integral, and some properties

Slides

Covers Sections 3.2, 3.3

11. Convergence results

Covers Section 3.4

Slides

12. Basics of L^p -spaces

Covers Sections 4.1, 4.2

Slides

13. The space L^2

Covers Section 4.3

Slides

14. Theorem of Radon-Nikodým

Covers Section 4.4

Slides

15. Set systems on product spaces

Covers Sections 5.1, 5.2

Slides

16. Measures on product spaces

Covers Section 5.3, 5.4

Slides

17. Projective limits

Slides

Covers Section 5.5