Minimizers of strictly convex functionals

Minimizers of strictly convex functionals

-
Connor Mooney, University of California, Irvine
Fine Hall 314

A classical problem in the calculus of variations is to determine the regularity of Lipschitz minimizers of \int F(Du), where F is convex. When F is smooth and uniformly convex, De Giorgi and Nash showed that minimizers are smooth. If the graph of F contains a line segment, minimizers are no better than Lipschitz. In the intermediate case that F is strictly convex but its second derivatives tend to zero or infinity on some set (which arises in many applications), it is reasonable to ask whether Lipschitz minimizers are C^1. We will discuss recent results that answer this question positively in some cases and negatively in general, and highlight a connection between this problem and classical differential geometry.