Discrete minimal surfaces: Old and New
Wai Yeung Lam, Masashi Yasumoto
TL;DR
This survey presents a structure-preserving discretization of minimal surfaces in $\,\mathbb{R}^3$ based on parallel-face offsets, introducing a discrete mean curvature via Steiner's formula and a discrete Weierstrass representation built from circle patterns. It proves that simply connected discrete minimal surfaces arise from circle-pattern data, linking the geometric theory to the deformation space of circle patterns and to Teichmüller theory through complex cross ratios. The work then surveys numerous variants, including alternative mean-curvature notions, different discrete conformal data (circle packings, discrete conformal equivalence), and integrable-systems perspectives, highlighting both the breadth and limits of current discretizations. It concludes with open questions on local embeddedness, topology and periodicity, generalized cell decompositions, and Bernstein-type results for discrete minimal surfaces, pointing to rich avenues for future research.
Abstract
We survey structure-preserving discretizations of minimal surfaces in Euclidean space. Our focus is on a discretization defined via parallel face offsets of polyhedral surfaces, which naturally leads to a notion of vanishing mean curvature and a corresponding variational characterization. All simply connected discrete minimal surfaces of this type can be constructed from circle patterns via a discrete Weierstrass representation formula. This representation links the space of discrete minimal surfaces to the deformation space of circle patterns, and thereby to classical Teichmüller theory. We also discuss variants of discrete minimal surfaces obtained by modifying the definition of mean curvature, restricting the variational criterion, or replacing circle pattern data with discrete conformal equivalence, Koebe-type circle packings, or quadrilateral meshes with factorized cross ratios. We conclude with open questions on discrete minimal surfaces.
