TSVP Talk: "Geometry, Optimal Transport and Statistical Physics" by Kohei Suzuki

Date

Location

L5D23 and zoom

Description

Title: Geometry, Optimal Transport and Statistical Physics

Abstract: Throughout history, many great minds have contributed to our understanding of the shape and curvature of objects. A novel reformulation of Ricci curvature was introduced about twenty years ago by John Lott, Cédric Villani, and Karl-Theodor Sturm, using concepts from optimal transport theory (Monge-Kantorovich-Rubinstein-Wasserstein transportation distance) and statistical physics (Boltzmann-Shannon/Rényi entropies). This breakthrough has allowed us to explore geometry in many irregular spaces, including those with singularities and infinite-dimensional spaces. In this talk, I will review these recent developments and discuss their applications to random matrices and interacting particle systems.

Profile: Kohei Suzuki has been an assistant professor at Durham University in the United Kingdom since 2022. He earned his PhD from Kyoto University and held postdoctoral positions at Bonn University, Tohoku University, Scuola Normale Superiore di Pisa, and Bielefeld University. His research interests lie in the interdisciplinary fields of differential geometry, optimal transport, probability, and statistical physics.

Language: English

Target audience: General audience/everyone at OIST and beyond.
Freely accessible to all OIST members and guests without registration.

This talk will also be broadcast online via Zoom:

Meeting ID: 959 1802 1226
Passcode: 602391

 

※ Please note that this event may be recorded and the videos uploaded. In addition, photos may be taken during the event. These are intended for publication online (the OIST website, social media, etc.)※

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