The isoperimetric problem in the plane with the sum of two Gaussian densities. (English) Zbl 1391.49078

A positive continuous function \(e^\psi\) on \(\mathbb R^n\) used to weight volume and hypersurface area is called a density. The weighted volume of a region \(R\) is given by \(\int_Re^\psi dV_0\) and the weighted hypersurface area of its boundary \(\partial R\) is given by \(\int_{\partial R}e^\psi dA_0\). The region \(R\) is called isoperimetric if no other region of the same weighted volume has a boundary with smaller hypersurface area. In [Riemannian geometry. A beginner’s guide. 2nd ed., revised paperback printing. Natick, MA: A K Peters (2009; Zbl 1234.53001)], F. Morgan considered the existence and regularity of isoperimetric regions for densities of finite total volume and showed that if \(e^\psi\) is a density in the line or plane such that the line or plane has finite measure \(A_0\), then for any \(0<A<A_0\), an isoperimetric region \(R\) of weighted volume \(A\) exists and is a finite union of intervals bounded by finitely many points in the line or a finite union of regions with smooth boundaries in the plane.
In this paper, the authors consider the isoperimetric problem for the sum of two Gaussian densities in the line and the plane. They prove that the double Gaussian isoperimetric regions in the line are rays and that if the double Gaussian isoperimetric regions in the plane are half-spaces, then they must be bounded by vertical lines.


49Q10 Optimization of shapes other than minimal surfaces
53A10 Minimal surfaces in differential geometry, surfaces with prescribed mean curvature


Zbl 1234.53001
Full Text: DOI arXiv


[1] 10.1007/s12220-009-9109-4 · Zbl 1193.49050
[2] 10.1007/s00526-007-0104-y · Zbl 1126.49038
This reference list is based on information provided by the publisher or from digital mathematics libraries. Its items are heuristically matched to zbMATH identifiers and may contain data conversion errors. It attempts to reflect the references listed in the original paper as accurately as possible without claiming the completeness or perfect precision of the matching.