LMS Research School: Methods of Random Matrix Theory & Applications

Location
Reading
Start date
-
Meeting Date
Speakers
Estelle Basor (American Institute of Mathematics) Tamara Grava (University of Bristol and SISSA) Alexander Its (Indiana University–Purdue University Indianapolis)

Random matrix theory (RMT) is a crossroad of modern mathematics. It brings together and provides a platform for fusing the ideas of such diverse areas as the theory of special functions, orthogonal polynomials, complex analysis, operator theory, representation of affine algebras and quantum group, enumerative topology, combinatorics, number theory, exactly solvable quantum models, quantum chaos and string theory. Simultaneously, RMT plays an increasingly important role in many applied sciences and technologies. Indeed, the distributions of random matrix theory govern statistical properties of the large systems which do not obey the usual laws of classical probability.


Lecture courses: 
Clay Lecturer: Jon Keating (University of Oxford)
Guest lecturer:

Haakan Hedenmalm (Leverhulme Visiting Professor at Reading)

These lecture courses will be supplemented by tutorial sessions.

Registration Fees

  • Research students£150 (no charge for subsistence costs).
  • Early career researchers*£250 (no charge for subsistence costs).
  • Other participants£250 (plus subsistence costs).

* defined as within five years of completing their PhD (excluding career breaks).

Registration and further details are available here.


The London Mathematical Society Research Schools provide training for research students in all contemporary areas of mathematics. Students and post-docs from both the UK and abroad can meet a number of leading international experts in the topic as well as other early career researchers working in related areas. The LMS Research Schools take place in the UK and support participation of research students from both the UK and abroad. The lecturers are expected to be international leaders in their field.  The LMS Research Schools are often partially funded by the Heilbronn Institute for Mathematical Research.