On k-planar Graphs without Short Cycles
We study the impact of forbidding short cycles to the edge density of k-planar graphs; a k-planar graph is one that can be drawn in the plane with at most k crossings per edge. Specifically, we consider three settings, according to which the forbidden substructures are 3-cycles, 4-cycles or both of them (i.e., girth ≥ 5). For all three settings and all k ∈ {1,2,3}, we present lower and upper bounds on the maximum number of edges in any k-planar graph on n vertices. Our bounds are of the form c\sqrt{k}n, for some explicit constant c that depends on k and on the setting. For general k ≥ 4 our bounds are of the form c\sqrt{k}n, for some explicit constant c. These results are obtained by leveraging different techniques, such as the discharging method, the recently introduced density formula for non-planar graphs, and new upper bounds for the crossing number of 2-- and 3-planar graphs in combination with corresponding lower bounds based on the Crossing Lemma.
Authors
- Vida Dujmović (ORCID: https://orcid.org/0000-0001-7250-0600)
- Michael A. Bekos (ORCID: https://orcid.org/0000-0002-3414-7444)
- Prosenjit Bose (ORCID: https://orcid.org/0000-0002-8906-0573)
- Pat Morin (ORCID: https://orcid.org/0000-0003-0471-4118)
- Alexandra Weinberger (ORCID: https://orcid.org/0000-0001-8553-6661)
- Saeed Odak
- Aaron Büngener
- Michael Kaufmann (ORCID: https://orcid.org/0000-0001-9186-3538)
- Michael M. Hoffmann (ORCID: https://orcid.org/0000-0001-5307-7106)
Institutions
- FernUniversität in Hagen (DE)
- University of Ottawa (CA)
- University of Ioannina (GR)
- Institute of Ethnology (HU)
- Carleton University (CA)
- University of Tübingen (DE)
Publication Details
- Journal
- Journal of Graph Algorithms and Applications
- Published
- 2025-10-13
- DOI
- https://doi.org/10.7155/jgaa.v29i3.3003
- Primary Topic
- Computational Geometry and Mesh Generation
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Deutsche Forschungsgemeinschaft
- Austrian Science Fund
- Hellenic Foundation for Research and Innovation