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Stochastic Analysis and Large Scale Interacting Systems

Organizer(s):
Name:	Affiliation:	Country:
Danielle Hilhorst	CNRS and University Paris-Sud Paris-Saclay	France
Sunder Sethuraman	University of Arizona	USA
Bin Xie	Shinshu University	Japan

Abstract:

The interaction between the theory of stochastic analysis and large scale interacting systems is an important and fruitful research field, not only because of its intrinsic mathematical challenges, but also by the wide range of its applications in physics, biology, mathematical finance, engineering and so on. In this session, we aim to bring together experts in the research area of stochastic analysis on interacting particle systems arising in physics and biology, as well as in phase transitions, and related research topics including stochastic partial differential equations, rough paths, random surfaces, quantum field theory, and stochastic homogenization. It will involve methods for their stochastic analysis and will also deal with numerical algorithms for explicit computations.

List of approved abstract
Name	Affiliation	Title
Le Chen	Auburn University	Moment growth and intermittency for SPDEs in the sublinear-growth regime
Ioannis Gasteratos	Imperial College London	Large deviations of slow-fast systems driven by fractional Brownian motion
Benjamin Gess	MPI MIS Leipzig	Fluctuations in conservative systems and SPDEs
Manuel V Gnann	TU Delft	Stability of Waves for SPDEs
Ludovic Goudenege	CNRS	Schemes for SDE/SPDE with singular drifts
Christopher Henderson	University of Arizona	Directed polymers, a non-local reaction-diffusion equation, and Fisher-KPP
Masato Hoshino	Osaka University	A regularity structure for the quasilinear generalized KPZ equation
Yuzuru Inahama	Kyushu University	Support theorem for pinned diffusion processes
Kunwoo Kim	POSTECH	Long-time behavior of stochastic heat equations
Honghu Liu	Virginia Tech	Optimal parameterizing manifolds and reduced systems for stochastic transitions
Hongwei Long	Florida Atlantic University	Least Squares Estimators for Stochastic Logistic Model Driven by Small Levy Noises
Maximilian Nitzschner	New York University	Smoothness of the diffusion coefficients for particle systems in continuous space
Kerstin Schmitz	University of Duisburg-Essen	Convergence of a finite-volume scheme for a heat equation with multiplicative Lipschitz noise
Sunder Sethuraman	University of Arizona	Hydrodynamic limit in a `Sinai`-type random environment
Kenkichi Tsunoda	Faculty of Mathematics, Kyushu University	Scaling limits for Glauber--Kawasaki processes
Chuntian Wang	The University of Alabama	A martingale formulation for stochastic compartmental susceptible-infected-recovered (SIR) models to analyze finite size effects in COVID-19 case studies
Zhenfu WANG	Peking University	Modulated Free Energy and Mean Field Limit
Bin Xie	Shinshu University	Reflected stochastic partial differential equations driven by space-time white noise
Aleksandra Zimmermann	University of Duisburg-Essen and TU Clausthal	Well-posedness and Lewy-Stampaccia inequalities for nonlinear stochastic evolution equations