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

preprint2020arXivOpen access

Abstract

An edge-ordered graph is a graph with a total ordering of its edges. A path P=v1v2…vkP=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,…,k−2i = 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,…,k−2i = 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)\overlineα(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)\overlineα(G). Let τ‾(G)\overlineτ(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)\overlineτ(G). In this paper we show that α‾(Kn)=Ω(log⁡log⁡n)\overline α(K_n) = Ω(\log\log n), α‾(Kn)=O(log⁡n)\overline α(K_n) = O(\log n), τ‾(Kn)=Ω(log⁡log⁡log⁡n)\overline τ(K_n) = Ω(\log\log \log n) and τ‾(Kn)=O(nlog⁡n)\overline τ(K_n) = O(\sqrt{n \log n}).

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