Minimality of planes in normed spaces
Dmitri Burago, Sergei Ivanov

TL;DR
This paper proves that planes in normed spaces minimize 2D Hausdorff measure among surfaces with the same boundary and introduces a convex extension for area density, based on a new inequality for convex polygons.
Contribution
It establishes minimality of planes in normed spaces for 2D Hausdorff measure and introduces a convex extension of area density, along with a new polygon inequality.
Findings
Planes minimize 2D Hausdorff measure in normed spaces.
A convex extension of 2D Hausdorff area density is constructed.
A new inequality for convex centrally-symmetric polygons is developed.
Abstract
We prove that a region in a two-dimensional affine subspace of a normed space has the least 2-dimensional Hausdorff measure among all compact surfaces with the same boundary. Furthermore, the 2-dimensional Hausdorff area density admits a convex extension to . The proof is based on a (probably) new inequality for the Euclidean area of a convex centrally-symmetric polygon.
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