Measure theoretic probability
2003-2004

Contents

During the course the measure theoretic foundations of probability theory will be treated. Key words for the course are: random variables, distributions of random variables, different convergence concepts for random variables (convergence in probability, weak convergence, convergence in p-th mean) and relations between them, conditional expectation and conditional distribution. We also treat some martingale theory and Brownian motion.

Literature

D. Williams, Probability with martingales, Cambridge University Press (BUY IT!) and additional lecture notes.
Exercises available in ps and in pdf

Examination

Homework exercises (please, write in english) and oral exam

People

Lectures by Peter Spreij, homework assistance by Shota Gugushvili.

Schedule

Fall semester, Thursdays 13.15-16.00, room P.015B, the course will start on September 4. There will be no class on October 23.

Participants


Programme

Week 1
Class: Williams sections 1,2 - 1.6, 1.9, 1.10, A1.2 - A1.4
Homework: From "Week 1": 1,2,3,6 (see ps and pdf files above)
Week 2
Class: Williams sections 1.7, 1.8, chapters 2, 3 (with the execption of 3.13), A3.1, A3.2
Homework: 4 exercises from "Week 1:4" and "Week 2"
Week 3
Class: Williams chapter 5, sections 6.1, 6.2, 6.6, 6.7, 6.10, 6.13
Homework: 4 exercises from "Week 3"
Week 4
Class: Williams sections 4.1, 4.2, 8.1 - 8.5, 8.8
Homework: 4 exercises from "Week 4"
Week 5
Class: Radon-Nikodym lecture notes (in ps and in pdf) sections 2, 3 for positive measures and Williams sections 9.1, 9.2, 9.4, 9.6, 9.7 (a-g), 9.8 (a-e)
Student lecture: Vincent Leijdekker on "Completion of a measure space"
Homework: 4 exercises (in total) chosen out of "Week 5" and 5.2, 5.4, 5.5, 5.9 (lecture notes)
Week 6
Class: Williams sections 9.7 and 9.8 continued, 9.9, 9.10, chapter 13
Student lecture: Anneke Hartog on "Kolmogorov's 0-1 law"
Homework: 4 exercises from "Week 6"
Week 7
Class: Williams sections 10.1-10.4, 10.6-10.10, 11.1-11.5, 14.1
Student lecture: Jessica Duin on "A strong law of large numbers"
Homework: 4 exercises from "Week 7"
Week 8
Class: Williams sections 14.2-14.6, 14.10-14.11
Student lectures: Enno Veerman on "Pythagoras and martingales" and Annette Schuitemaker on "Kolmogorov's three series theorem"
Homework: 4 exercises from "Week 8"
Week 9
Class: Williams sections 12.1, 12.6, 12.7, 12.8, 12.13 (a), 14.12, 14.17 (partly)
Student lectures: Philip Yau on "Weierstrass's approximation theorem" and Walter Moreno on "Relations between different modes of convergence"
Homework: 4 exercises from "Week 9"
Week 10
Class: Williams sections 17.1 - 17.4
Student lectures: David Visser on "Orthogonal projections" and Silvia van Brummelen on "Doob's decomposition"
Homework: 4 exercises from "Week 10"
Week 11
Class: Pollard sections II.3-4 (copies will be provided)
Student lectures: Mark Koudstaal on "Riemann integrals and Lebesgue integrals" and Tze Shao on "Doob's optional sampling theorem for UI martingales"
Homework: 4 exercises from "Week 11"
Week 12
Class: Weak convergence and Brownian Motion (lecture notes in ps and in pdf)
Student lectures: Daniel Koerhuis, Roel Seller
Homework:



To the Korteweg-de Vries Instituut voor Wiskunde or to the homepage of the master's programma.

Email: spreij@science.uva.nl