香蕉视频

Title: Moments of the Parabolic Anderson Model with Asymptotically Singular Noise

Abstract: The Parabolic Anderson Model (PAM) is a stochastic partial differential equation that describes the time-evolution of particle system with the following dynamics: Each particle in the system undergoes a diffusion in space, and as they are moving through space, the particles can either multiply or get killed at a rate that depends on a random environment.

One of the fundamental problems in the theory of the PAM is to understand its behavior at large times. More specifically, the solution of the PAM at large times tends to be intermittent, meaning that most of the particles concentrate in small regions where the environment is most favorable for particle multiplication.

In this talk, we discuss a new technique to study intermittency in the PAM with a singular random environment. In short, the technique consists of approximating the singular PAM with a regularized version that becomes increasingly singular as time goes to infinity. Using this technique, we improve on several known results and uncover new and unexpected behaviors of the singular PAM.

This talk is based on a joint work in progress with Promit Ghosal and Yuchen Liao.

Location:

(Hybrid)

Room: Andr茅 Aisenstadt 6214