s Freie Wahrscheinlichkeit Lehre

Dr. Roland Friedrich
Dr. Tobias Mai

Complex Analysis II
(Funktionentheorie II)
Introduction to Geometric Function Theory
and Schramm-Loewner Evolution

(Winter Semester 2017/2018)


News



Lecture

Tuesday, 12 -- 14, Seminar Room 10, Building E2 4


In geometric function theory, holomorphic functions are regarded as mappings between subsets of the complex plane and one aims at understanding the rich interplay between their geometric and analytic properties. Of interest are especially conformal maps, namely holomorphic functions that are additionally injective.

Among the numerous powerful tools that were developed for this purpose is the so-called Loewner evolution. It can be seen as a dynamical process on the set of conformal maps, which describes the evolution of some curve in a fixed simply connected domain. On the complex upper half plane , it is determined by the chordal Loewner equation
                                        
with respect to some driving function .

In 2000, Oded Schramm added a stochastic component to that theory by considering driving functions of the form for and with being the one-dimensional Brownian motion. This results in a kind of Brownian motion on the space of conformal maps, called the stochastic Loewner evolution , i.e., a family of random conformal maps associated to some random curve in .

The character of strongly depends on . Their relevance lies in the fact that they are (conjectured to be) the scaling limit of various discrete random processes appearing in mathematics and physics, such as the loop-erased random walk and percolation.

With Wendelin Werner (2006) and Stanislav Smirnov (2010), two mathematicians have been awarded the Fields medal for their contributions to this fascinating field.

In this lecture, which is formally a continuation of the lecture Funktionentheorie, we give an introduction to the basics of both geometric function theory and stochastic Loewner evolution. We will also provide the needed facts from probability theory and stochastic calculus.
Participants are supposed to have some prior knowledge on basic measure theory and complex analysis (such as Analysis III and Funktionentheorie), but no prerequisites on probability theory are assumed.

Lecture announcement

KVV Winter term 2017/2018

For further information, please contact Tobias Mai.

Lecture notes

Lecture notes, October 17
Lecture notes, October 24
Lecture notes, November 7
Lecture notes, November 14
Lecture notes, November 21
Lecture notes, November 28
Lecture notes, December 5
Lecture notes, December 12

Tutorials

The tutorials (problem sessions) take place every second week on

Tuesday, 16 -- 18, in Seminar Room 10, Building E2 4.

The next meeting is on tba.

Assignment 1A   (for the tutorial on November 7)    Solution Assignment 1A
Assignment 1B   (for the tutorial on November 7)    Solution Assignment 1B
Assignment 2A   (for the tutorial on November 21)    Solution Assignment 2A
Assignment 2B   (for the tutorial on November 21)    Solution Assignment 2B
Assignment 3A   (for the tutorial on December 5)    Solution Assignment 3A
Assignment 3B   (for the tutorial on December 5)    Solution Assignment 3B
Assignment 4A   (for the tutorial on December 12)   Solution Assignment 4A

You do not have to hand in written solutions. We will discuss the problems in
the tutorials, but you should be prepared then to present your solution.

References

These books can be found in the Course Reference Shelve that is kindly
provided by the Campusbibliothek für Informatik und Mathematik.



updated: 13 December 2017   Tobias Mai