Free Probability, Random Matrices, and Applications

RMMC Summer School, University of Wyoming, July 13--17, 2020


Mini-courses and lectures given by:
Hari Bercovici (Indiana University)
Benoit Collins (Kyoto University)
Ken Dykema (Texas A&M University)
Alexandru Nica (University of Waterloo)
Dimitri Shlyakhtenko (UCLA)
Dan Voiculescu (UC, Berkeley)

Free probability, introduced by Dan Voiculescu, is a highly noncommutative probability theory based on free independence which takes the place of classical independence. It is an extremely rich theory and has been very successful in its almost 40 years development with deep applications to other fields of mathematics and sciences. It has became an essential tool for researchers working on operator algebras, random matrix theory and related areas. The program of the summer school will consists of several introductory mini-courses together with research talks, and will bring topics in free probability and random matrix theory to a diverse audience.
Registration (For full consideration of a financial aid, please register before April 30, 2020. )

Another summer school you might be interested in: Groundwork for Operator Algebras Lecture Series, June 28--July 12, MSU.
Organizers:
Zhuang Niu and Ping Zhong

The conference is supported by NSF and RMMC.