10,225 research outputs found

    Lower bounds on the number of realizations of rigid graphs

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    Computing the number of realizations of a minimally rigid graph is a notoriously difficult problem. Towards this goal, for graphs that are minimally rigid in the plane, we take advantage of a recently published algorithm, which is the fastest available method, although its complexity is still exponential. Combining computational results with the theory of constructing new rigid graphs by gluing, we give a new lower bound on the maximal possible number of (complex) realizations for graphs with a given number of vertices. We extend these ideas to rigid graphs in three dimensions and we derive similar lower bounds, by exploiting data from extensive Gr\"obner basis computations

    On the Number of Embeddings of Minimally Rigid Graphs

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    Rigid frameworks in some Euclidian space are embedded graphs having a unique local realization (up to Euclidian motions) for the given edge lengths, although globally they may have several. We study the number of distinct planar embeddings of minimally rigid graphs with nn vertices. We show that, modulo planar rigid motions, this number is at most (2nβˆ’4nβˆ’2)β‰ˆ4n{{2n-4}\choose {n-2}} \approx 4^n. We also exhibit several families which realize lower bounds of the order of 2n2^n, 2.21n2.21^n and 2.88n2.88^n. For the upper bound we use techniques from complex algebraic geometry, based on the (projective) Cayley-Menger variety CM2,n(C)βŠ‚P(n2)βˆ’1(C)CM^{2,n}(C)\subset P_{{{n}\choose {2}}-1}(C) over the complex numbers CC. In this context, point configurations are represented by coordinates given by squared distances between all pairs of points. Sectioning the variety with 2nβˆ’42n-4 hyperplanes yields at most deg(CM2,n)deg(CM^{2,n}) zero-dimensional components, and one finds this degree to be D2,n=1/2(2nβˆ’4nβˆ’2)D^{2,n}={1/2}{{2n-4}\choose {n-2}}. The lower bounds are related to inductive constructions of minimally rigid graphs via Henneberg sequences. The same approach works in higher dimensions. In particular we show that it leads to an upper bound of 2D3,n=2nβˆ’3nβˆ’2(nβˆ’6nβˆ’3)2 D^{3,n}= {\frac{2^{n-3}}{n-2}}{{n-6}\choose{n-3}} for the number of spatial embeddings with generic edge lengths of the 1-skeleton of a simplicial polyhedron, up to rigid motions

    The orbit rigidity matrix of a symmetric framework

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    A number of recent papers have studied when symmetry causes frameworks on a graph to become infinitesimally flexible, or stressed, and when it has no impact. A number of other recent papers have studied special classes of frameworks on generically rigid graphs which are finite mechanisms. Here we introduce a new tool, the orbit matrix, which connects these two areas and provides a matrix representation for fully symmetric infinitesimal flexes, and fully symmetric stresses of symmetric frameworks. The orbit matrix is a true analog of the standard rigidity matrix for general frameworks, and its analysis gives important insights into questions about the flexibility and rigidity of classes of symmetric frameworks, in all dimensions. With this narrower focus on fully symmetric infinitesimal motions, comes the power to predict symmetry-preserving finite mechanisms - giving a simplified analysis which covers a wide range of the known mechanisms, and generalizes the classes of known mechanisms. This initial exploration of the properties of the orbit matrix also opens up a number of new questions and possible extensions of the previous results, including transfer of symmetry based results from Euclidean space to spherical, hyperbolic, and some other metrics with shared symmetry groups and underlying projective geometry.Comment: 41 pages, 12 figure
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