Linear Stability of the Brunn-Minkowski Inequality
Institute for Advanced Study via YouTube
Google AI Professional Certificate - Learn AI Skills That Get You Hired
Most AI Pilots Fail to Scale. MIT Sloan Teaches You Why — and How to Fix It
Overview
Google, IBM & Meta Certificates — All 10,000+ Courses at 40% Off
One annual plan covers every course and certificate on Coursera. 40% off for a limited time.
Get Full Access
Explore a nearly 2-hour mathematics seminar presentation delving into the linear stability of the Brunn-Minkowski inequality in convex geometry. Learn about fundamental concepts controlling volume subsets in ℝn, examining how for sets A,B⊂ℝn of equal volume and parameter t∈(0,1), |tA+(1−t)B|≥|A| holds true with equality when A=B is convex. Discover early work by Ruzsa and special cases suggesting linear stability results, where |tA+(1−t)B|≤(1+δ)|A| implies |co(A)∖A|=On,t(δ)|A|. Investigate the connection between these conjectures and discrete additive combinatorics, particularly focusing on geometric instances of the Polynomial Freiman-Ruzsa conjecture. Follow the detailed proof of the linear conjecture presented through collaborative research with Alessio Figalli and Marius Tiba.
Syllabus
Linear Stability of the Brunn-Minkowski Inequality - Peter van Hintum
Taught by
Institute for Advanced Study