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Communications on Pure and Applied Mathematics· 2026Q1

Nonlocal Approximation of Minimal Surfaces: Optimal Estimates From Stability

Hardy Chan, Serena Dipierro, Joaquim Serra, Enrico Valdinoci

Short summary

A new nonlocal approximation method for minimal surfaces in 3-manifolds yields optimal estimates for sheet separation and interactions, robust as the approximation parameter approaches zero.

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Key points

  • Introduces a new nonlocal approximation for minimal surfaces in closed 3-manifolds.
  • Proves an optimal sheet separation estimate: connected components are at least of order $\epsilon$ apart.
  • Describes multi-sheet interactions at order $\epsilon$ via the Dávila–del Pino–Wei system.
  • Demonstrates that hyperplanes are the only stable $\epsilon$-minimal hypersurfaces in $\mathbb{R}^3$ for $\epsilon$ close to 1.

AI-generated from the title and abstract; the full text is not read.

Abstract

ABSTRACT Minimal surfaces in closed 3‐manifolds are classically constructed via the Almgren‐Pitts approach. The Allen‐Cahn approximation has proved to be a powerful alternative, and Chodosh and Mantoulidis (in Ann. Math. 2020) used it to give a new proof of Yau's conjecture for generic metrics and establish the multiplicity one conjecture. The primary goal of this paper is to set the ground for a new approximation based on nonlocal minimal surfaces. More precisely, we prove that if is a stable ‐minimal surface in then: enjoys a estimate that is robust as (i.e., uniform in ); The distance between different connected components of must be at least of order (optimal sheet separation estimate); Interactions between multiple sheets at distances of order are described by the Dávila–del Pino–Wei system. A second important goal of the paper is to establish that hyperplanes are the only stable ‐minimal hypersurfaces in , for sufficiently close to 1. This is done by exploiting suitable modifications of the results described above. In this application, it is crucially used that our curvature and separations estimates hold without any assumption on area bounds (in contrast to the analogous estimates for Allen‐Cahn).

The authors' abstract, as published at the source. Communications on Pure and Applied Mathematics, 2026 · DOI ↗

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Field: Applied Mathematics

Applied MathematicsMathematics