Minimal Surfaces Defined by Extremal Eigenvalue Problems

Explore the mathematical theory of minimal surfaces through their characterization as extremal eigenvalue problems in this advanced lecture. Discover how minimal surfaces in spheres are defined by embedding functions that serve as eigenfunctions on the surface with its induced metric, where the metric represents an extremal for the eigenvalue among metrics with identical surface area. Learn about the recent decades of research utilizing this extremal property to construct new minimal surfaces through eigenvalue maximization techniques. Examine the analogous theoretical framework for minimal surfaces in euclidean balls with free boundary conditions, then delve into groundbreaking new work that extends these concepts to products of balls. Follow the application of this generalized theory to a specific case involving the Schwarz p-surface, a free boundary minimal surface within a three-dimensional cube featuring one boundary component on each face. Understand how this innovative method enables the construction of similar surfaces in rectangular prisms with arbitrary side lengths, demonstrating the practical applications of extremal eigenvalue approaches in geometric analysis and differential geometry.