2013
DOI: 10.1137/110825224
|View full text |Cite
|
Sign up to set email alerts
|

Integer Representations of Convex Polygon Intersection Graphs

Abstract: Abstract. We determine tight bounds on the smallest-size integer grid needed to represent the n-node intersection graphs of a convex polygon P with P given in rational coordinates. The intersection graphs use only polygons that are geometrically similar to P (translates or homothets) and must be represented such that each corner of each polygon lies on a point of the grid. We show the following generic results: if P is a parallelogram and only translates of P are used, then an Ω(n 2 ) × Ω(n 2 ) grid is suffici… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2018
2018
2019
2019

Publication Types

Select...
2

Relationship

0
2

Authors

Journals

citations
Cited by 2 publications
(1 citation statement)
references
References 19 publications
0
1
0
Order By: Relevance
“…This answers a conjecture of Lehmann that planar graphs are max-tolerance graphs (as max-tolerance graphs have shown to be exactly the intersection graphs of homothetic triangles [14]). Müller et al [17] proved that for some planar graphs, if the triangle corners have integer coordinates, then their intersection representation with homothetic triangles needs coordinates of order 2 Ω(n) , where n is the number of vertices. The following section is devoted to the proof of Theorem 2.…”
Section: Introductionmentioning
confidence: 99%
“…This answers a conjecture of Lehmann that planar graphs are max-tolerance graphs (as max-tolerance graphs have shown to be exactly the intersection graphs of homothetic triangles [14]). Müller et al [17] proved that for some planar graphs, if the triangle corners have integer coordinates, then their intersection representation with homothetic triangles needs coordinates of order 2 Ω(n) , where n is the number of vertices. The following section is devoted to the proof of Theorem 2.…”
Section: Introductionmentioning
confidence: 99%