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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.

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