Presented By: Probability and Analysis Seminar - Department of Mathematics
Probability and Analysis Seminar: Large Deviation Principle for the Directed Landscape
Sayan Das (University of Chicago)
Abstract: 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.