Advanced Topics in Probability Theory, SS 2014
Time and Room  Tuesday and Thursday, 1012, LWK 0.007 
Start  8. April 2014 
Exam
 24. and 25. July 2014. Schedule. Room: my office, LWK 3.047.

Content
In the first part of the lecture, we will consider the Gaussian Unitary Ensemble of random matrices, whose eigenvalues serves as an example of determinantal point processes. We will then discuss this class of point process in a more general framework and develop some mathematical structure related to it.
In the second part of the lecture, we will consider the exclusion process, discuss its construction and properties like stationary measures. Then we will focus on a particular choice of the parameters, in which particles jumps only to one direction. In that case, much more can be computed explicitly as they fits in the framework that we build up in the context of the GUE matrices.
For large time, we will derive the analogue of the central limit theorem (as well as the limit process). The main two differences are that the fluctuations of particle positions growth only like time^{1/3} and the limit law is not Gaussian. They are given, depending on classes of initial conditions, by some distribution laws that appeared before in the domain of random matrix theory.
Lecture notes
Lecture schedule
 You can find the updated lecture schedule here.