1,368 research outputs found

    Shortest path embeddings of graphs on surfaces

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    The classical theorem of F\'{a}ry states that every planar graph can be represented by an embedding in which every edge is represented by a straight line segment. We consider generalizations of F\'{a}ry's theorem to surfaces equipped with Riemannian metrics. In this setting, we require that every edge is drawn as a shortest path between its two endpoints and we call an embedding with this property a shortest path embedding. The main question addressed in this paper is whether given a closed surface S, there exists a Riemannian metric for which every topologically embeddable graph admits a shortest path embedding. This question is also motivated by various problems regarding crossing numbers on surfaces. We observe that the round metrics on the sphere and the projective plane have this property. We provide flat metrics on the torus and the Klein bottle which also have this property. Then we show that for the unit square flat metric on the Klein bottle there exists a graph without shortest path embeddings. We show, moreover, that for large g, there exist graphs G embeddable into the orientable surface of genus g, such that with large probability a random hyperbolic metric does not admit a shortest path embedding of G, where the probability measure is proportional to the Weil-Petersson volume on moduli space. Finally, we construct a hyperbolic metric on every orientable surface S of genus g, such that every graph embeddable into S can be embedded so that every edge is a concatenation of at most O(g) shortest paths.Comment: 22 pages, 11 figures: Version 3 is updated after comments of reviewer

    Complex Networks on Hyperbolic Surfaces

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    We explore a novel method to generate and characterize complex networks by means of their embedding on hyperbolic surfaces. Evolution through local elementary moves allows the exploration of the ensemble of networks which share common embeddings and consequently share similar hierarchical properties. This method provides a new perspective to classify network-complexity both on local and global scale. We demonstrate by means of several examples that there is a strong relation between the network properties and the embedding surface.Comment: 8 Pages 3 Figure

    Embedding of metric graphs on hyperbolic surfaces

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    An embedding of a metric graph (G,d)(G, d) on a closed hyperbolic surface is \emph{essential}, if each complementary region has a negative Euler characteristic. We show, by construction, that given any metric graph, its metric can be rescaled so that it admits an essential and isometric embedding on a closed hyperbolic surface. The essential genus ge(G)g_e(G) of (G,d)(G, d) is the lowest genus of a surface on which such an embedding is possible. In the next result, we establish a formula to compute ge(G)g_e(G). Furthermore, we show that for every integer gge(G)g\geq g_e(G), (G,d)(G, d) admits such an embedding (possibly after a rescaling of dd) on a surface of genus gg. Next, we study minimal embeddings where each complementary region has Euler characteristic 1-1. The maximum essential genus gemax(G)g_e^{\max}(G) of (G,d)(G, d) is the largest genus of a surface on which the graph is minimally embedded. Finally, we describe a method explicitly for an essential embedding of (G,d)(G, d), where ge(G)g_e(G) and gemax(G)g_e^{\max}(G) are realized.Comment: Revised version, 11 pages, 3 figure
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