On the Maximal Number of Real Embeddings of Spatial Minimally Rigid Graphs

Evangelos Bartzos, I. Emiris, Jan Legerský, Elias P. Tsigaridas
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引用次数: 4

Abstract

The number of embeddings of minimally rigid graphs in RD is (by definition) finite, modulo rigid transformations, for every generic choice of edge lengths. Even though various approaches have been proposed to compute it, the gap between upper and lower bounds is still enormous. Specific values and its asymptotic behavior are major and fascinating open problems in rigidity theory. Our work considers the maximal number of real embeddings of minimally rigid graphs in R3. We modify a commonly used parametric semi-algebraic formulation that exploits the Cayley-Menger determinant to minimize the a priori number of complex embeddings, where the parameters correspond to edge lengths. To cope with the huge dimension of the parameter space and find specializations of the parameters that maximize the number of real embeddings, we introduce a method based on coupler curves that makes the sampling feasible for spatial minimally rigid graphs. Our methodology results in the first full classification of the number of real embeddings of graphs with 7 vertices in R3, which was the smallest open case. Building on this and certain 8-vertex graphs, we improve the previously known general lower bound on the maximum number of real embeddings in R3.
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空间最小刚性图的最大实数嵌入
RD中最小刚性图的嵌入次数(根据定义)是有限的,模刚性变换,对于每一个一般的边长度选择。尽管已经提出了各种计算方法,但上界和下界之间的差距仍然很大。特值及其渐近性是刚性理论中一个重要而又引人入胜的开放性问题。我们的工作考虑了最小刚性图在R3中的最大实数嵌入。我们修改了一种常用的参数半代数公式,该公式利用Cayley-Menger行列式来最小化复杂嵌入的先验数量,其中参数对应于边缘长度。为了应对参数空间的巨大维度,并找到最大化实际嵌入数量的参数专一化,我们引入了一种基于耦合器曲线的方法,使空间最小刚性图的采样可行。我们的方法首次对R3中具有7个顶点的图的实际嵌入数量进行了全面分类,这是最小的开放情况。在此基础上和某些8顶点图的基础上,我们改进了之前已知的R3中实数嵌入最大值的一般下界。
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