820 research outputs found

    On the Maximum Crossing Number

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    Research about crossings is typically about minimization. In this paper, we consider \emph{maximizing} the number of crossings over all possible ways to draw a given graph in the plane. Alpert et al. [Electron. J. Combin., 2009] conjectured that any graph has a \emph{convex} straight-line drawing, e.g., a drawing with vertices in convex position, that maximizes the number of edge crossings. We disprove this conjecture by constructing a planar graph on twelve vertices that allows a non-convex drawing with more crossings than any convex one. Bald et al. [Proc. COCOON, 2016] showed that it is NP-hard to compute the maximum number of crossings of a geometric graph and that the weighted geometric case is NP-hard to approximate. We strengthen these results by showing hardness of approximation even for the unweighted geometric case and prove that the unweighted topological case is NP-hard.Comment: 16 pages, 5 figure

    Density theorems for bipartite graphs and related Ramsey-type results

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    In this paper, we present several density-type theorems which show how to find a copy of a sparse bipartite graph in a graph of positive density. Our results imply several new bounds for classical problems in graph Ramsey theory and improve and generalize earlier results of various researchers. The proofs combine probabilistic arguments with some combinatorial ideas. In addition, these techniques can be used to study properties of graphs with a forbidden induced subgraph, edge intersection patterns in topological graphs, and to obtain several other Ramsey-type statements

    Simple realizability of complete abstract topological graphs simplified

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    An abstract topological graph (briefly an AT-graph) is a pair A=(G,X)A=(G,\mathcal{X}) where G=(V,E)G=(V,E) is a graph and X⊆(E2)\mathcal{X}\subseteq {E \choose 2} is a set of pairs of its edges. The AT-graph AA is simply realizable if GG can be drawn in the plane so that each pair of edges from X\mathcal{X} crosses exactly once and no other pair crosses. We show that simply realizable complete AT-graphs are characterized by a finite set of forbidden AT-subgraphs, each with at most six vertices. This implies a straightforward polynomial algorithm for testing simple realizability of complete AT-graphs, which simplifies a previous algorithm by the author. We also show an analogous result for independent Z2\mathbb{Z}_2-realizability, where only the parity of the number of crossings for each pair of independent edges is specified.Comment: 26 pages, 17 figures; major revision; original Section 5 removed and will be included in another pape

    Disjoint edges in topological graphs and the tangled-thrackle conjecture

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    It is shown that for a constant t∈Nt\in \mathbb{N}, every simple topological graph on nn vertices has O(n)O(n) edges if it has no two sets of tt edges such that every edge in one set is disjoint from all edges of the other set (i.e., the complement of the intersection graph of the edges is Kt,tK_{t,t}-free). As an application, we settle the \emph{tangled-thrackle} conjecture formulated by Pach, Radoi\v{c}i\'c, and T\'oth: Every nn-vertex graph drawn in the plane such that every pair of edges have precisely one point in common, where this point is either a common endpoint, a crossing, or a point of tangency, has at most O(n)O(n) edges

    A computational approach to Conway's thrackle conjecture

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    A drawing of a graph in the plane is called a thrackle if every pair of edges meets precisely once, either at a common vertex or at a proper crossing. Let t(n) denote the maximum number of edges that a thrackle of n vertices can have. According to a 40 years old conjecture of Conway, t(n)=n for every n>2. For any eps>0, we give an algorithm terminating in e^{O((1/eps^2)ln(1/eps))} steps to decide whether t(n)2. Using this approach, we improve the best known upper bound, t(n)<=3/2(n-1), due to Cairns and Nikolayevsky, to 167/117n<1.428n.Comment: 16 pages, 7 figure
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