
TL;DR
This paper improves the lower bound on the obstacle number of graphs, showing that some graphs require at least Omega(n/( extlog extlog n)^2) obstacles, advancing understanding of this graph parameter.
Contribution
It enhances the lower bound for obstacle numbers in graphs from Omega(n/ extlog n) to Omega(n/( extlog extlog n)^2), using bounds on graph counts.
Findings
Lower bound on obstacle number increased to Omega(n/( extlog extlog n)^2)
Method relies on bounds of graphs with obstacle number at most h
Any improvements in upper bounds will further improve the lower bound
Abstract
The obstacle number is a new graph parameter introduced by Alpert, Koch, and Laison (2010). Mukkamala etal (2012) show that there exist graphs with n vertices having obstacle number in Omega(n/\log n). In this note, we up this lower bound to Omega(n/(\log\log n)^2. Our proof makes use of an upper bound of Mukkamala etal on the number of graphs having obstacle number at most h in such a way that any subsequent improvements to their upper bound will improve our lower bound.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
