Linhang Huang, University of Washington
Friday, January 12, 2024 - 2:30pm to 3:30pm
PDL C-401
The central limit theorem is used frequently in our daily lives, but its statement may still seem surprising. Why can we approximate so many distributions using the bell curve, even for non-continuous or asymmetric ones like students' grades?
In (mathematical) statistical physics, we often come across similar phenomena - when random objects converge, the limits (which in some sense are universal) observe new patterns or symmetries. This talk will highlight some examples of such phenomena, along with a brief introduction to the measure-theoretic philosophy of probability and the necessary topological infrastructure.
Zoom Link: https://washington.zoom.us/j/92849568892