Beyond Gaussian universality class: traffic, growth, matrices and their universal fluctuations


Ivan Corwin
Columbia University
Friday, October 11, 2017
4:30 - 5:30 PM
Location: Y2E2 300


This is a joint OR/ICME seminar.


Abstract:

The Gaussian distribution is ubiquitous across science and society. Yet, there are many complex random systems which fail to be well describe by Gaussian processes. In this talk, we will consider certain models of traffic flow, interface growth and random matrices. In their large scale limits, they surprisingly all display the same limit behaviors describe by the so called Kardar-Parisi-Zhang universality class. This represents a rich universality class beyond that of the Gaussian which is widely applicable to many other types of spatial systems.

---

Operations Research Colloquia: http://or.stanford.edu/oras_seminars.html