- Series
- Algebra Seminar
- Time
- Monday, November 16, 2026 - 1:00pm for 1 hour (actually 50 minutes)
- Location
- Skiles 005
- Speaker
- Swee Hong Chan – Rutgers University
- Organizer
- Jayden Wang
The Ahlswede–Daykin inequality (also known as the Four Function Theorem) is a classical cornerstone of probability theory and statistical mechanics. Its power lies in its ability to reduce proving correlation and log-concave inequalities to a set of local, usually straightforward, conditions. In this talk, we extend this classical result to the setting of symmetric functions, introducing a new framework tailored for proving Schur positivity. As an application, we give a simple proof of the Schur log-concave inequality for Schur polynomials, a landmark result originally established by Lam–Postnikov–Pylyavskyy (2007). We also establish Schur log-concave inequality for Grothendieck polynomials, thereby resolving a conjecture of Mihalcea.
This talk is a joint work with Hong Chen, Igor Pak, and Daniel Soskin.