Speaker

Kaizhi Wang

Time

2025.12.25 16:00-17:30

Abstract

We will provide a brief introduction to the weak KAM theory in Hamiltonian dynamical systems, and from the perspective of weak KAM theory, we will talk about mean-field game systems, introducing cutting-edge advancements in this field.

Bio

Kaizhi Wang, a professor at the School of Mathematical Sciences, Shanghai Jiao Tong University, is a recipient of the National Natural Science Foundation of China-Young Scientists Fund (Category A) [formerly the National Science Fund for Distinguished Young Scholars] and a Distinguished Professor (Eastern Scholar) of Shanghai. His primary research focuses on Hamiltonian dynamical systems, where he has made a series of contributions to weak KAM theory and its applications in Hamilton-Jacobi equations and mean-field game systems. His works have been published in prestigious academic journals such as Communications in Mathematical Physics, Journal de Mathématiques Pures et Appliquées, Journal of Functional Analysis, SIAM Journal on Mathematical Analysis, SIAM Journal on Applied Dynamical Systems, Journal of Differential Equations, and Communications in Partial Differential Equations.