Recruitment Talk: Stochastic partial differential equations in supercritical, subcritical, and critical dimensions

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December 2, 2022
10:15AM - 11:15AM
Location
Ch 218

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Add to Calendar 2022-12-02 10:15:00 2022-12-02 11:15:00 Recruitment Talk: Stochastic partial differential equations in supercritical, subcritical, and critical dimensions Title: Stochastic partial differential equations in supercritical, subcritical, and critical dimensions   Speaker:  Alexander Dunlap   Abstract: A pervading question in the study of stochastic PDE is how small-scale random forcing in an equation combines to create nontrivial statistical behavior on large spatial and temporal scales. I will discuss recent progress on this topic for several related stochastic PDEs - stochastic heat, KPZ, and Burgers equations - and some of their generalizations. These equations are (conjecturally) universal models of physical processes such as a polymer in a random environment, the growth of a random interface, branching Brownian motion, and the voter model. The large-scale behavior of solutions on large scales is complex, and in particular depends qualitatively on the dimension of the space. I will describe the phenomenology, and then describe several results and challenging problems on invariant measures, growth exponents, and limiting distributions. Ch 218 Department of Mathematics math@osu.edu America/New_York public
Description
Title: Stochastic partial differential equations in supercritical, subcritical, and critical dimensions
 
Speaker:  Alexander Dunlap
 
Abstract: A pervading question in the study of stochastic PDE is how small-scale random forcing in an equation combines to create nontrivial statistical behavior on large spatial and temporal scales. I will discuss recent progress on this topic for several related stochastic PDEs - stochastic heat, KPZ, and Burgers equations - and some of their generalizations. These equations are (conjecturally) universal models of physical processes such as a polymer in a random environment, the growth of a random interface, branching Brownian motion, and the voter model. The large-scale behavior of solutions on large scales is complex, and in particular depends qualitatively on the dimension of the space. I will describe the phenomenology, and then describe several results and challenging problems on invariant measures, growth exponents, and limiting distributions.

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