TY - GEN
T1 - Bounding and Computing Obstacle Numbers of Graphs
AU - Balko, Martin
AU - Chaplick, Steven
AU - Ganian, Robert
AU - Gupta, Siddharth
AU - Hoffmann, Michael
AU - Valtr, Pavel
AU - Wolff, Alexander
N1 - Funding Information:
Funding Martin Balko: Grant no. 21-32817S of the Czech Science Foundation (GAČR) and support by the Center for Foundations of Modern Computer Science (Charles University project UNCE/SCI/004) and by the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (grant agreement no. 810115). Robert Ganian: Project no. Y1329 of the Austrian Science Fund (FWF). Siddharth Gupta: Engineering and Physical Sciences Research Council (EPSRC) grant EP/V007793/1. Michael Hoffmann: Swiss National Science Foundation within the collaborative DACH project Arrangements and Drawings as SNSF Project 200021E-171681. Pavel Valtr: Grant no. 21-32817S of the Czech Science Foundation (GAČR). Alexander Wolff : DFG–GAČR project Wo 754/11-1.
Publisher Copyright:
© 2022 Schloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing. All rights reserved.
PY - 2022/9/1
Y1 - 2022/9/1
N2 - An obstacle representation of a graph G consists of a set of pairwise disjoint simply-connected closed regions and a one-to-one mapping of the vertices of G to points such that two vertices are adjacent in G if and only if the line segment connecting the two corresponding points does not intersect any obstacle. The obstacle number of a graph is the smallest number of obstacles in an obstacle representation of the graph in the plane such that all obstacles are simple polygons. It is known that the obstacle number of each n-vertex graph is O(n log n) [Balko, Cibulka, and Valtr, 2018] and that there are n-vertex graphs whose obstacle number is Ω(n/(log log n)2) [Dujmovic and Morin, 2015]. We improve this lower bound to Ω(n/ log log n) for simple polygons and to Ω(n) for convex polygons. To obtain these stronger bounds, we improve known estimates on the number of n-vertex graphs with bounded obstacle number, solving a conjecture by Dujmovic and Morin. We also show that if the drawing of some n-vertex graph is given as part of the input, then for some drawings Ω(n2) obstacles are required to turn them into an obstacle representation of the graph. Our bounds are asymptotically tight in several instances. We complement these combinatorial bounds by two complexity results. First, we show that computing the obstacle number of a graph G is fixed-parameter tractable in the vertex cover number of G. Second, we show that, given a graph G and a simple polygon P, it is NP-hard to decide whether G admits an obstacle representation using P as the only obstacle.
AB - An obstacle representation of a graph G consists of a set of pairwise disjoint simply-connected closed regions and a one-to-one mapping of the vertices of G to points such that two vertices are adjacent in G if and only if the line segment connecting the two corresponding points does not intersect any obstacle. The obstacle number of a graph is the smallest number of obstacles in an obstacle representation of the graph in the plane such that all obstacles are simple polygons. It is known that the obstacle number of each n-vertex graph is O(n log n) [Balko, Cibulka, and Valtr, 2018] and that there are n-vertex graphs whose obstacle number is Ω(n/(log log n)2) [Dujmovic and Morin, 2015]. We improve this lower bound to Ω(n/ log log n) for simple polygons and to Ω(n) for convex polygons. To obtain these stronger bounds, we improve known estimates on the number of n-vertex graphs with bounded obstacle number, solving a conjecture by Dujmovic and Morin. We also show that if the drawing of some n-vertex graph is given as part of the input, then for some drawings Ω(n2) obstacles are required to turn them into an obstacle representation of the graph. Our bounds are asymptotically tight in several instances. We complement these combinatorial bounds by two complexity results. First, we show that computing the obstacle number of a graph G is fixed-parameter tractable in the vertex cover number of G. Second, we show that, given a graph G and a simple polygon P, it is NP-hard to decide whether G admits an obstacle representation using P as the only obstacle.
KW - FPT
KW - NP-hardness
KW - Obstacle number
KW - Obstacle representation
KW - Visibility
UR - http://www.scopus.com/inward/record.url?scp=85137601884&partnerID=8YFLogxK
U2 - 10.4230/LIPIcs.ESA.2022.11
DO - 10.4230/LIPIcs.ESA.2022.11
M3 - Conference contribution
AN - SCOPUS:85137601884
T3 - Leibniz International Proceedings in Informatics, LIPIcs
BT - 30th Annual European Symposium on Algorithms, ESA 2022
A2 - Chechik, Shiri
A2 - Navarro, Gonzalo
A2 - Rotenberg, Eva
A2 - Herman, Grzegorz
PB - Schloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing
T2 - 30th Annual European Symposium on Algorithms, ESA 2022
Y2 - 5 September 2022 through 9 September 2022
ER -