Workshop IV: Stochastic Analysis Related to Hamilton-Jacobi PDEs

Part of the Long Program High Dimensional Hamilton-Jacobi PDEs
May 18 - 22, 2020

Overview

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COVID-19 Advisory: In abidance with Mayor Garcetti’s “Safer at Home” emergency order, IPAM will hold all workshops that are part of our current program (High Dimensional Hamilton-Jacobi PDEs), including Stochastic Analysis Related to Hamilton-Jacobi PDEs, via Zoom. We have re-opened registration to invite a wider participation. Registration will close on 13 May 2020. Workshop registrants will receive the Zoom link a few days prior to the workshop, along with instructions on how to participate. The video of the recorded sessions will be made available on IPAM website.

Workshop Overview: The modeling of complex multiscale phenomena often leads to problems set in random media, since periodicity is very often rather restrictive. The mathematical study then leads to stochastic homogenization and averaging. This setting however, lacks the mathematical structure and estimates available in periodic media and most, if not all, classical PDE methods fail. It becomes necessary to use sophisticated probabilistic methods to overcome difficulties.

 In spite of its flexibility, computing nonlinear problems in random media is very expensive. Hence, in practice, it is needed to consider environments which are small random perturbations of periodic ones, and then to obtain some asymptotic expansion for the ergodic constants. Concrete examples of such phenomena that relate to Hamilton-Jacobi equations are large deviations, front propagation and random walks in random media. The latter strengthens the connection with probability.

Another direction where Hamilton-Jacobi connect with stochastics is the study of stochastic PDEs driven by Brownian motions or rough paths. This is an area that has seen considerable growth during the last ten years. It relates to the work on KPZ-type models as well as stochastic viscosity solutions and conservation laws. One of the striking outgrowths of these theories are new and surprising stochastic regularization-type results. A third direction is about small scale limits of deterministic and stochastic discrete models which in the limit give rise to Hamilton-Jacobi type problems. Examples are the Abelian sandpile and peeling processes. Another topic is limits of Kinetic Fokker Planck equations and degenerate elliptic operators. These types of hypoelliptic operators are fundamental models of particle interactions, which have newfound applications in optimization. We will study topics such as effective diffusivity in the Kramers to Smoluchowski limit and rates of convergence to the invariant measure in the degenerate elliptic case.

HJWS4 Flyer

Organizing Committee

Jeff Calder (University of Minnesota, Twin Cities)
Will Feldman (IAS and Univ. of Utah, Mathematics)
Grigorios Pavliotis (Imperial College, Mathematical Sciences)
Fraydoun Rezakhanlou (University of California, Berkeley (UC Berkeley))
Takis Souganidis (University of Chicago, Mathematics)