LA Probability Forum
Linde Hall 310
Large Deviation Principle for the Directed Landscape
Sayan Das,
Department of Mathematics,
University of Chicago,
The directed landscape is a random directed metric on the plane that arises as the scaling limit of classical metric models in the KPZ universality class. In this talk, I will discuss a functional large deviation principle for the entire random metric and mention certain interesting features of the underlying rate function. If time permits, I will also discuss some applications of our results. Based on a joint work with Duncan Dauvergne and Balint Virag.
For more information, please contact Math Dept by phone at 626-395-4335 or by email at [email protected].
Event Series
Caltech/UCLA Joint Probability Seminar Series
Event Sponsors