Beyond the Gaussian universality class


Prof. Ivan Corwin, Columbia University
This colloquium will be held at 11 am, 9th November, in Parnell 07-222.
Morning tea will be provided from 10.15 am in the Alumni Court.

The Gaussian distribution describes fluctuations arising in many systems across mathematics, science, and society. However, complex random systems such as those related to interface growth, big data, stochastic optimization, traffic / queuing flow, and stochastic PDEs often do not follow fall into this universality class. This talk will explain how these and other important types of real-world systems fall into a different universality class — the so-called Kardar-Parisi-Zhang class. This talk will be aimed at a very general audience and will feature almost no equations and lots interesting phenomena, videos, and examples.