Applications of Sharp Large Deviation Estimates in Asymptotic Convex Geometry

Explore a 56-minute lecture on the applications of sharp large deviation estimates in asymptotic convex geometry, presented by Kavita Ramanan at the Hausdorff Center for Mathematics. Delve into recent developments showcasing the effectiveness of large deviations techniques in addressing specific questions within asymptotic convex geometry. Examine sharp large deviation estimates in the context of Bahadur-Ranga Rao's work and discover how these estimates can be applied to obtain refined calculations for random projections, norms, and volumes of Orlicz balls. Learn about the collaborative research conducted with Yin-Ting Liao, which forms the foundation of this insightful presentation.