Adjacency Graphs of Polyhedral Surfaces
-
Published:2023-10-18
Issue:
Volume:
Page:
-
ISSN:0179-5376
-
Container-title:Discrete & Computational Geometry
-
language:en
-
Short-container-title:Discrete Comput Geom
Author:
Arseneva ElenaORCID, Kleist LindaORCID, Klemz BorisORCID, Löffler Maarten, Schulz AndréORCID, Vogtenhuber BirgitORCID, Wolff AlexanderORCID
Abstract
AbstractWe study whether a given graph can be realized as an adjacency graph of the polygonal cells of a polyhedral surface in $${\mathbb {R}}^3$$
R
3
. We show that every graph is realizable as a polyhedral surface with arbitrary polygonal cells, and that this is not true if we require the cells to be convex. In particular, if the given graph contains $$K_5$$
K
5
, $$K_{5,81}$$
K
5
,
81
, or any nonplanar 3-tree as a subgraph, no such realization exists. On the other hand, all planar graphs, $$K_{4,4}$$
K
4
,
4
, and $$K_{3,5}$$
K
3
,
5
can be realized with convex cells. The same holds for any subdivision of any graph where each edge is subdivided at least once, and, by a result from McMullen et al. (Isr. J. Math. 46(1–2), 127–144 (1983)), for any hypercube. Our results have implications on the maximum density of graphs describing polyhedral surfaces with convex cells: The realizability of hypercubes shows that the maximum number of edges over all realizable n-vertex graphs is in $$\Omega (n\log n)$$
Ω
(
n
log
n
)
. From the non-realizability of $$K_{5,81}$$
K
5
,
81
, we obtain that any realizable n-vertex graph has $${\mathcal {O}}(n^{9/5})$$
O
(
n
9
/
5
)
edges. As such, these graphs can be considerably denser than planar graphs, but not arbitrarily dense.
Funder
Julius-Maximilians-Universität Würzburg
Publisher
Springer Science and Business Media LLC
Subject
Computational Theory and Mathematics,Discrete Mathematics and Combinatorics,Geometry and Topology,Theoretical Computer Science
Reference53 articles.
1. Abrahamsen, M., Kleist, L., Miltzow, T.: Geometric embeddability of complexes is $$\exists {\mathbb{R}}$$-complete. In: 39th International Symposium on Computational Geometry (Dallas 2023). Leibniz International Proceedings in Informatics, vol. 258, # 1. Leibniz-Zent. Inform., Wadern (2023) 2. Alam, Md.J., Biedl, Th., Felsner, S., Kaufmann, M., Kobourov, S.G., Ueckerdt, T.: Computing cartograms with optimal complexity. Discrete Comput. Geom. 50(3), 784–810 (2013) 3. Andreev, E.M.: Convex polyhedra in Lobachevskii spaces. Mat. Sb. 81(123)(3), 445–478 (1970). (in Russian) 4. Aronov, B., van Kreveld, M., van Oostrum, R., Varadarajan, K.: Facility location on a polyhedral surface. Discrete Comput. Geom. 30(3), 357–372 (2003) 5. Arseneva, E., Kleist, L., Klemz, B., Löffler, M., Schulz, A., Vogtenhuber, B., Wolff, A.: Adjacency graphs of polyhedral surfaces. In: 37th International Symposium on Computational Geometry (2021). Leibniz International Proceedings in Informatics, vol. 189, # 11. Leibniz-Zent. Inform., Wadern (2021)
|
|