MIT Probability Seminar
Mon Apr 8, 2024 4:15–5:15 PM
Location
Building 2, 147
Description
Speaker: Shalin Parekh (University of Maryland)Title: Extreme value theory for random walks in random mediaAbstract: The KPZ equation is a singular stochastic PDE arising as a scaling limit of various physically and probabilistically interesting models. Often this equation describes the “crossover” between Gaussian and non-Gaussian fluctuation behavior in models of interacting particles, directed polymers, or interface growth models. In this talk, I will discuss recent progress we have made in understanding the KPZ crossover for models of random walks in dynamical random media. This talk includes joint work with Sayan Das and Hindy Drillick.
- MIT Probability SeminarSpeaker: Shalin Parekh (University of Maryland)Title: Extreme value theory for random walks in random mediaAbstract: The KPZ equation is a singular stochastic PDE arising as a scaling limit of various physically and probabilistically interesting models. Often this equation describes the “crossover” between Gaussian and non-Gaussian fluctuation behavior in models of interacting particles, directed polymers, or interface growth models. In this talk, I will discuss recent progress we have made in understanding the KPZ crossover for models of random walks in dynamical random media. This talk includes joint work with Sayan Das and Hindy Drillick.