Order-2 Delaunay Triangulations Optimize Angles
Herbert Edelsbrunner, Alexey Garber, Morteza Saghafian
TL;DR
The paper extends the local angle property from order-1 to order-k Delaunay triangulations in the plane, proving LAP for all 1 ≤ k ≤ |A|−1 and establishing that Del_k(A) preserves this angle-structure. It proves that among complete level-2 hypertriangulations, the order-2 Delaunay triangulation lexicographically maximizes the sorted angle vector, and among maximal level-2 hypertriangulations it is the unique LAP-holder, using aging, constrained Delaunay triangulations, and flip-based arguments. A new short proof of Sibson's order-1 angle-vector optimality is provided via the aging approach. The results generalize key angle-optimality properties to higher-order constructions and suggest broader applicability of order-2 Delaunay triangulations in applications, while also delineating clear limits for higher orders via counterexamples.
Abstract
The local angle property of the (order-$1$) Delaunay triangulations of a generic set in $\mathbb{R}^2$ asserts that the sum of two angles opposite a common edge is less than $π$. This paper extends this property to higher order and uses it to generalize two classic properties from order-$1$ to order-$2$: (1) among the complete level-$2$ hypertriangulations of a generic point set in $\mathbb{R}^2$, the order-$2$ Delaunay triangulation lexicographically maximizes the sorted angle vector; (2) among the maximal level-$2$ hypertriangulations of a generic point set in $\mathbb{R}^2$, the order-$2$ Delaunay triangulation is the only one that has the local angle property. We also use our method of establishing (2) to give a new short proof of the angle vector optimality for the (order-1) Delaunay triangulation. For order-$1$, both properties have been instrumental in numerous applications of Delaunay triangulations, and we expect that their generalization will make order-$2$ Delaunay triangulations more attractive to applications as well.
