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Shortest Path Embeddings of Graphs on Surfaces

机译:在曲面上的最短路径嵌入图形

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AbstractThe classical theorem of Fáry 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 Fáry’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 ashortest path embedding. The main question addressed in this paper is whether given a closed surfaceS, 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 largeg, there exist graphsGembeddable into the orientable surface of genusg, such that with large probability a random hyperbolic metric does not admit a shortest path embedding ofG, where the probability measure is proportional to the Weil–Petersson volume on moduli space. Finally, we construct a hyperbolic metric on every orientable surfaceSof genusg, such that every graph embeddable intoScan be embedded so that every edge is a concatenation of at mostO(g) shortest paths.]]>
机译:<![CDATA [<标题>抽象 ara id =“par1”>Fáry的经典定理,每个平面图可以由嵌入的嵌入,其中每个边缘由直线段表示。我们考虑将Fáry的定理概括到配备riemannian指标的表面。在此设置中,我们要求每个边缘被绘制为其两个端点之间的最短路径,我们将嵌入嵌入属性A 最短路径嵌入。本文解决的主要问题是给定闭合表面<重点类型=“斜体”> S ,每个拓扑嵌入的图形都存在riemananian度量标准,其中每个拓扑均可嵌入的图表承认最短路径嵌入。这个问题也受到表面上交叉数的各种问题。我们观察到球体上的圆度量和投影机具有此属性。我们在托鲁斯和克莱因瓶上提供平面指标,也有这家酒店。然后,我们表明,对于Klein瓶上的单位方形平度量,存在没有最短路径嵌入的图形。此外,我们表明,对于大<重点类型=“斜体”> g ,存在图<重点类型=“斜体”> g 嵌入到<重点类型=“的可定义表面中。斜体“> g ,具有大概率的随机双曲度量不承认<重点类型=”斜体“> g 的最短路径嵌入,其中概率测量与威尔 - 彼得森体积在Moduli空间上。最后,我们在每个可定向的表面上构建一个双曲度量<重点类型=“斜体”> <重点类型=“斜体”> g 的s ,使得每个图形嵌入到<重点类型= “斜体”> S 可以嵌入,使每个边缘是最多<重点类型=“斜体”> O (<重点类型=“斜体”> G )最短路径。]]>

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