On the edge densities of normal, convex mosaics
Máté Kadlicskó, Zsolt Lángi, Shanxiang Lyu
TL;DR
The paper addresses the minimal edge density in normal, convex mosaics by first solving the decomposable 2D-structure case, deriving exact lower bounds with explicit equality configurations across dimensions. It then focuses on 3D translative mosaics, showing that cubes minimize edge density among unit-volume translative mosaics and connecting these results to a broader optimization over 3D parallelohedra via belt structures. A central engine is a two-tier approach: (i) reduce to surface-isotropic position and (ii) bound a belt-weighted objective $w_m(P)$ using Cauchy–Schwarz, yielding a complete classification of minimizers among the five parallelohedron types. The findings advance understanding of Kelvin-Bezdek-type edge-density problems in higher dimensions and provide a framework for translating edge-length optimization into fixed-volume mosaic geometry.
Abstract
In this paper we investigate the problem of finding the minimum edge density in families of convex, normal mosaics with unit volume cells in $n$-dimensional Euclidean space. In the first part of the paper we solve this problem for mosaics whose cells are Minkowski sums of cells of $1$ or $2$-dimensional mosaics. We show that while for $n=2$ this minimum is attained by a mosaic with regular hexagon cells, this is not true in any dimension $n > 2$, where the minimum is attained by a mosaic whose cells are Minkowski sums of pairwise orthogonal regular triangles, and possibly a segment. In the second part we investigate $3$-dimensional convex mosaics whose cells are translates of a given convex polyhedron, and show that within this family, mosaics with cubes as cells have minimum edge density. In addition, using our method, in the family of $3$-dimensional convex polyhedra whose translates tile the space, we find the unit volume polyhedra with minimal total edge length.
