5 research outputs found
Combinatorial Properties of Triangle-Free Rectangle Arrangements and the Squarability Problem
We consider arrangements of axis-aligned rectangles in the plane. A geometric
arrangement specifies the coordinates of all rectangles, while a combinatorial
arrangement specifies only the respective intersection type in which each pair
of rectangles intersects. First, we investigate combinatorial contact
arrangements, i.e., arrangements of interior-disjoint rectangles, with a
triangle-free intersection graph. We show that such rectangle arrangements are
in bijection with the 4-orientations of an underlying planar multigraph and
prove that there is a corresponding geometric rectangle contact arrangement.
Moreover, we prove that every triangle-free planar graph is the contact graph
of such an arrangement. Secondly, we introduce the question whether a given
rectangle arrangement has a combinatorially equivalent square arrangement. In
addition to some necessary conditions and counterexamples, we show that
rectangle arrangements pierced by a horizontal line are squarable under certain
sufficient conditions.Comment: 15 pages, 13 figures, extended version of a paper to appear at the
International Symposium on Graph Drawing and Network Visualization (GD) 201
On Arrangements of Orthogonal Circles
In this paper, we study arrangements of orthogonal circles, that is,
arrangements of circles where every pair of circles must either be disjoint or
intersect at a right angle. Using geometric arguments, we show that such
arrangements have only a linear number of faces. This implies that orthogonal
circle intersection graphs have only a linear number of edges. When we restrict
ourselves to orthogonal unit circles, the resulting class of intersection
graphs is a subclass of penny graphs (that is, contact graphs of unit circles).
We show that, similarly to penny graphs, it is NP-hard to recognize orthogonal
unit circle intersection graphs.Comment: Appears in the Proceedings of the 27th International Symposium on
Graph Drawing and Network Visualization (GD 2019