4 research outputs found

    Counting Carambolas

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    We give upper and lower bounds on the maximum and minimum number of geometric configurations of various kinds present (as subgraphs) in a triangulation of nn points in the plane. Configurations of interest include \emph{convex polygons}, \emph{star-shaped polygons} and \emph{monotone paths}. We also consider related problems for \emph{directed} planar straight-line graphs.Comment: update reflects journal version, to appear in Graphs and Combinatorics; 18 pages, 13 figure

    Two Counting Problems in Geometric Triangulations and Pseudoline Arrangements

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    The purpose of this dissertation is to study two problems in combinatorial geometry in regard to obtaining better bounds on the number of geometric objects of interest: (i) monotone paths in geometric triangulations and (ii) pseudoline arrangements. \medskip(i) A directed path in a graph is monotone in direction of u\mathbf{u} if every edge in the path has a positive inner product with u\mathbf{u}. A path is monotone if it is monotone in some direction. Monotone paths are studied in optimization problems, specially in classical simplex algorithm in linear programming. We prove that the (maximum) number of monotone paths in a geometric triangulation of nn points in the plane is O(1.7864n)O(1.7864^n). This improves an earlier upper bound of O(1.8393n)O(1.8393^n); the current best lower bound is Ω(1.7003n)\Omega(1.7003^n) (Dumitrescu~\etal, 2016). \medskip (ii) Arrangements of lines and pseudolines are fundamental objects in discrete and computational geometry. They also appear in other areas of computer science, for instance in the study of sorting networks. Let BnB_n be the number of nonisomorphic arrangements of nn pseudolines and let bn=log2Bnb_n=\log_2{B_n}. The problem of estimating BnB_n was posed by Knuth in 1992. Knuth conjectured that bn(n2)+o(n2)b_n \leq {n \choose 2} + o(n^2) and also derived the first upper and lower bounds: bn0.7924(n2+n)b_n \leq 0.7924 (n^2 +n) and bnn2/6O(n)b_n \geq n^2/6 - O(n). The upper bound underwent several improvements, bn0.6974n2b_n \leq 0.6974\, n^2 (Felsner, 1997), and bn0.6571n2b_n \leq 0.6571\, n^2 (Felsner and Valtr, 2011), for large nn. Here we show that bncn2O(nlogn)b_n \geq cn^2 - O(n \log{n}) for some constant c3˘e0.2083c \u3e 0.2083. In particular, bn0.2083n2b_n \geq 0.2083\, n^2 for large nn. This improves the previous best lower bound, bn0.1887n2b_n \geq 0.1887\, n^2, due to Felsner and Valtr (2011). Our arguments are elementary and geometric in nature. Further, our constructions are likely to spur new developments and improved lower bounds for related problems, such as in topological graph drawings. \medskip Developing efficient algorithms and computer search were key to verifying the validity of both results

    Convex Polygons in Geometric Triangulations

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