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Algebraic Methods for Counting Euclidean Embeddings of Rigid Graphs

机译:刚性图欧氏嵌入的代数方法

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The study of (minimally) rigid graphs is motivated by numerous applications, mostly in robotics and bioinformatics. A major open problem concerns the number of embeddings of such graphs, up to rigid motions, in Euclidean space. We capture embeddability by polynomial systems with suitable structure, so that their mixed volume, which bounds the number of common roots, to yield interesting upper bounds on the number of embeddings. We focus on R~2 and R~3, where Laman graphs and 1-skeleta of convex simplicial polyhedra, respectively, admit inductive Henneberg constructions. We establish the first general lower bound in R~3 of about 2.52~n, where n denotes the number of vertices. Moreover, our implementation yields upper bounds for n < 10 in R~2 and R~3, which reduce the existing gaps, and tight bounds up to n = 7 in R~3.
机译:对(最少)刚性图的研究是受众多应用程序推动的,其中大部分应用程序涉及机器人技术和生物信息学。一个主要的开放问题涉及在欧几里得空间中此类图形的嵌入数量,直到刚体运动为止。我们通过具有适当结构的多项式系统来捕获可嵌入性,从而使它们的混合体积限制了公共根的数量,从而产生了有趣的嵌入数量上限。我们专注于R〜2和R〜3,其中凸单纯单面体的Laman图和1-skeleta分别接受归纳Henneberg构造。我们在R〜3中建立约2.52〜n的第一个一般下界,其中n表示顶点数。此外,我们的实现在R〜2和R〜3中产生n <10的上限,从而减小了现有的差距,在R〜3中达到n = 7的紧密界限。

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