Garrett Mulcahy, University of Washington

Friday, April 5, 2024 - 2:30pm to 3:30pm

PDL C-401

Originally posed in the 18th century by Gaspard Monge, the problem central to optimal transport is to transport a unit mass in some shape (i.e. a probability measure) into another shape while doing the least amount of work. This 1-2-3 talk will walk through the computation of optimal transport maps in explicit settings and conclude with a brief discussion of the geometry of Wasserstein space (the space of probability measures). This expository talk should be accessible to all graduate students; all necessary probability and analysis notions will be introduced in the talk.

Zoom Link: https://washington.zoom.us/j/92849568892