Let P be a set of n points in R2, and let DT(P)
denote its Euclidean Delaunay triangulation. We introduce the notion of an edge
of DT(P) being {\it stable}. Defined in terms of a parameter
α>0, a Delaunay edge pq is called α-stable, if the (equal)
angles at which p and q see the corresponding Voronoi edge epq are at
least α. A subgraph G of DT(P) is called {\it (cα,α)-stable Delaunay graph} (SDG in short), for some constant c≥1, if every edge in G is α-stable and every cα-stable of
DT(P) is in G.
We show that if an edge is stable in the Euclidean Delaunay triangulation of
P, then it is also a stable edge, though for a different value of α,
in the Delaunay triangulation of P under any convex distance function that is
sufficiently close to the Euclidean norm, and vice-versa. In particular, a
6α-stable edge in DT(P) is α-stable in the Delaunay
triangulation under the distance function induced by a regular k-gon for k≥2π/α, and vice-versa. Exploiting this relationship and the analysis
in~\cite{polydel}, we present a linear-size kinetic data structure (KDS) for
maintaining an (8α,α)-SDG as the points of P move. If
the points move along algebraic trajectories of bounded degree, the KDS
processes nearly quadratic events during the motion, each of which can
processed in O(logn) time. Finally, we show that a number of useful
properties of DT(P) are retained by SDG of P.Comment: This is a revision of the paper arXiv:1104.0622 presented in SoCG
2010. The revised analysis relies on results reported in the companion paper
arXiv:1404.485