Summer Graduate School
Parent Program: | |
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Location: | MSRI: Simons Auditorium, Atrium |
Show List of Lecturers
- Mario Bonk (University of California, Los Angeles)
- Clément Hongler (École Polytechnique Fédérale de Lausanne (EPFL))
- Wei Qian (Université Paris-Saclay)
- Steffen Rohde (University of Washington)
- Fredrik Viklund (Royal Institute of Technology)
- Yilin Wang (Massachusetts Institute of Technology)

This Summer Graduate School will cover basic tools that are instrumental in Random Conformal Geometry (the investigation of analytic and geometric objects that arise from natural probabilistic constructions, often motivated by models in mathematical physics) and are at the foundation of the subsequent semester-long program "The Analysis and Geometry of Random Spaces". Specific topics are Conformal Field Theory, Brownian Loops and related processes, Quasiconformal Maps, as well as Loewner Energy and Teichmüller Theory.
School Structure
There will be two lectures per day, each followed by participants presentations and/or problem sessions. The school will be in the form of a learning seminar with active involvement of the participants. In particular, the talks by the main lecturers will be supplemented by some of the participants on additional material related to the main lectures. This will also include discussion problems and their solutions related to the topics. The organizers will coordinate these activities with lecturers and the participants, and will assign specific topics to some of the participants in advance for presentation at the sumer school. Participants who will not give longer talks will contribute to the Problem Sessions with the presentation of solutions to select problems.
Suggested Prerequisites
We expect that the students have some solid knowledge of real and complex analysis corresponding to basic first-year graduate courses (as presented in the first 16 Chapters of Rudin’s “Real and Complex Analysis”, for example). The students should also have some background in basic probability up to the central limit theorem (corresponding to Chapters 1-3 in Durrett’s “Probability”), but we do not expect knowledge of more advanced topics such as Brownian motion.
For eligibility and how to apply, see the Summer Graduate Schools homepage
Conformal invariance
quasiconformal map
Brownian motion
conformal field theory
quantum field theory
stochastic processes
Teichmüller theory
Loewner equation