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Joint Chinese-Russian Mathematical Online Colloquium

11:00 (GMT+3)
Stanislav Shaposhnikov Stanislav Shaposhnikov
Lomonosov Moscow State University

Bio: Stanislav Shaposhnikov is a Professor at the Department of Mathematical Analysis of Lomonosov Moscow State University. He graduated from MSU in 2006, obtained PhD degree in 2009 and Doctor of Sciences degree in 2011. His research focuses on the Fokker-Planck-Kolmogorov equations. Prof. Shaposhnikov was awarded the Shuvalov Prize of MSU and the Kolmogorov Prize of the Russian Academy of Sciences.

On the superposition principle for probability solutions to Fokker-Planck-Kolmogorov equations.

The superposition principle expresses a deep connection between the solutions of the martingale problem and the probability solutions of the Fokker-Planck-Kolmogorov equation. It has been extensively studied in recent years and the best-known results were obtained by L. Ambrosio, A. Figalli, and D. Trevisan. We will present a generalization of the superposition principle in the case of unbounded coefficients and arbitrary domain, demonstrate several counterexamples and formulate open problems.



12:00 (GMT+3)
Su Yang Su Yang

Bio: Su Yang is an Associate Professor at the Academy of Mathematics and System Sciences, the Chinese Academy of Sciences. He graduated from Peking University in 1999 and received PhD at Heidelberg University in 2007. His research interest is the topology of manifolds in dimension 5 and higher.

Mapping class group of 3-dimensional complete intersections.

In the first part of the talk, I will briefly recall some knowledge of mapping class group of high dimensional manifolds. Then I will present our computation of the mapping class group of certain complex 3-dimensional algebraic varieties --- complete intersections. Similar to the classical mapping class group of surfaces, the results will be helpful in understanding the moduli space of structures on these manifolds. This is a joint work with Matthias Kreck from the University of Bonn.

 The meeting will be held in the form of a webinar on the Zoom platform.

Pre-registration for the event is not required.

Link to the conference:

Meeting ID : 854 5079 0558