English

The Gaussian Double-Bubble Conjecture

Functional Analysis 2021-10-11 v2 Differential Geometry Probability

Abstract

We establish the Gaussian Double-Bubble Conjecture: the least Gaussian-weighted perimeter way to decompose Rn\mathbb{R}^n into three cells of prescribed (positive) Gaussian measure is to use a tripod-cluster, whose interfaces consist of three half-hyperplanes meeting along an (n2)(n-2)-dimensional plane at 120120^{\circ} angles (forming a tripod or "Y" shape in the plane). Moreover, we prove that tripod-clusters are the unique isoperimetric minimizers (up to null-sets).

Keywords

Cite

@article{arxiv.1801.09296,
  title  = {The Gaussian Double-Bubble Conjecture},
  author = {Emanuel Milman and Joe Neeman},
  journal= {arXiv preprint arXiv:1801.09296},
  year   = {2021}
}

Comments

For publication purposes, this manuscript has been merged with our subsequent one "The Gaussian Multi-Bubble Conjecture" into a single paper entitled "The Gaussian Double-Bubble and Multi-Bubble Conjectures", which now supersedes both previous manuscripts -- see arXiv:1805.10961. To appear in Annals of Mathematics

R2 v1 2026-06-23T00:00:04.006Z