English

Non-crossing Monotone Paths and Binary Trees in Edge-ordered Complete Geometric Graphs

Combinatorics 2020-01-22 v3

Abstract

An edge-ordered graph is a graph with a total ordering of its edges. A path P=v1v2vkP=v_1v_2\ldots v_k in an edge-ordered graph is called increasing if (vivi+1)>(vi+1vi+2)(v_iv_{i+1}) > (v_{i+1}v_{i+2}) for all i=1,,k2i = 1,\ldots,k-2; it is called decreasing if (vivi+1)<(vi+1vi+2)(v_iv_{i+1}) < (v_{i+1}v_{i+2}) for all i=1,,k2i = 1,\ldots,k-2. We say that PP is monotone if it is increasing or decreasing. A rooted tree TT in an edge-ordered graph is called monotone if either every path from the root of to a leaf is increasing or every path from the root to a leaf is decreasing. Let GG be a graph. In a straight-line drawing DD of GG, its vertices are drawn as different points in the plane and its edges are straight line segments. Let α(G)\overline{\alpha}(G) be the maximum integer such that every edge-ordered straight-line drawing of GG %under any edge labeling contains a monotone non-crossing path of length α(G)\overline{\alpha}(G). Let τ(G)\overline{\tau}(G) be the maximum integer such that every edge-ordered straight-line drawing of GG %under any edge labeling contains a monotone non-crossing complete binary tree of size τ(G)\overline{\tau}(G). In this paper we show that α(Kn)=Ω(loglogn)\overline \alpha(K_n) = \Omega(\log\log n), α(Kn)=O(logn)\overline \alpha(K_n) = O(\log n), τ(Kn)=Ω(logloglogn)\overline \tau(K_n) = \Omega(\log\log \log n) and τ(Kn)=O(nlogn)\overline \tau(K_n) = O(\sqrt{n \log n}).

Keywords

Cite

@article{arxiv.1703.05378,
  title  = {Non-crossing Monotone Paths and Binary Trees in Edge-ordered Complete Geometric Graphs},
  author = {Frank Duque and Ruy Fabila-Monroy and Carlos Hidalgo-Toscano and Pablo Pérez-Lantero},
  journal= {arXiv preprint arXiv:1703.05378},
  year   = {2020}
}
R2 v1 2026-06-22T18:47:00.910Z