333 research outputs found

    On the Reconstruction of Geodesic Subspaces of RN\mathbb{R}^N

    Full text link
    We consider the topological and geometric reconstruction of a geodesic subspace of RN\mathbb{R}^N both from the \v{C}ech and Vietoris-Rips filtrations on a finite, Hausdorff-close, Euclidean sample. Our reconstruction technique leverages the intrinsic length metric induced by the geodesics on the subspace. We consider the distortion and convexity radius as our sampling parameters for a successful reconstruction. For a geodesic subspace with finite distortion and positive convexity radius, we guarantee a correct computation of its homotopy and homology groups from the sample. For geodesic subspaces of R2\mathbb{R}^2, we also devise an algorithm to output a homotopy equivalent geometric complex that has a very small Hausdorff distance to the unknown shape of interest

    On Vietoris-Rips complexes of ellipses

    Full text link
    For XX a metric space and r>0r>0 a scale parameter, the Vietoris-Rips complex VR<(X;r)VR_<(X;r) (resp. VR(X;r)VR_\leq(X;r)) has XX as its vertex set, and a finite subset σX\sigma\subseteq X as a simplex whenever the diameter of σ\sigma is less than rr (resp. at most rr). Though Vietoris-Rips complexes have been studied at small choices of scale by Hausmann and Latschev, they are not well-understood at larger scale parameters. In this paper we investigate the homotopy types of Vietoris-Rips complexes of ellipses Y={(x,y)R2  (x/a)2+y2=1}Y=\{(x,y)\in \mathbb{R}^2~|~(x/a)^2+y^2=1\} of small eccentricity, meaning 1<a21<a\le\sqrt{2}. Indeed, we show there are constants r1<r2r_1 < r_2 such that for all r1<r<r2r_1 < r< r_2, we have VR<(X;r)S2VR_<(X;r)\simeq S^2 and VR(X;r)5S2VR_\leq(X;r)\simeq \bigvee^5 S^2, though only one of the two-spheres in VR(X;r)VR_\leq(X;r) is persistent. Furthermore, we show that for any scale parameter r1<r<r2r_1 < r < r_2, there are arbitrarily dense subsets of the ellipse such that the Vietoris-Rips complex of the subset is not homotopy equivalent to the Vietoris-Rips complex of the entire ellipse. As our main tool we link these homotopy types to the structure of infinite cyclic graphs

    Topological Data Analysis with Bregman Divergences

    Get PDF
    Given a finite set in a metric space, the topological analysis generalizes hierarchical clustering using a 1-parameter family of homology groups to quantify connectivity in all dimensions. The connectivity is compactly described by the persistence diagram. One limitation of the current framework is the reliance on metric distances, whereas in many practical applications objects are compared by non-metric dissimilarity measures. Examples are the Kullback-Leibler divergence, which is commonly used for comparing text and images, and the Itakura-Saito divergence, popular for speech and sound. These are two members of the broad family of dissimilarities called Bregman divergences. We show that the framework of topological data analysis can be extended to general Bregman divergences, widening the scope of possible applications. In particular, we prove that appropriately generalized Cech and Delaunay (alpha) complexes capture the correct homotopy type, namely that of the corresponding union of Bregman balls. Consequently, their filtrations give the correct persistence diagram, namely the one generated by the uniformly growing Bregman balls. Moreover, we show that unlike the metric setting, the filtration of Vietoris-Rips complexes may fail to approximate the persistence diagram. We propose algorithms to compute the thus generalized Cech, Vietoris-Rips and Delaunay complexes and experimentally test their efficiency. Lastly, we explain their surprisingly good performance by making a connection with discrete Morse theory

    Random geometric complexes

    Full text link
    We study the expected topological properties of Cech and Vietoris-Rips complexes built on i.i.d. random points in R^d. We find higher dimensional analogues of known results for connectivity and component counts for random geometric graphs. However, higher homology H_k is not monotone when k > 0. In particular for every k > 0 we exhibit two thresholds, one where homology passes from vanishing to nonvanishing, and another where it passes back to vanishing. We give asymptotic formulas for the expectation of the Betti numbers in the sparser regimes, and bounds in the denser regimes. The main technical contribution of the article is in the application of discrete Morse theory in geometric probability.Comment: 26 pages, 3 figures, final revisions, to appear in Discrete & Computational Geometr

    Approximating Loops in a Shortest Homology Basis from Point Data

    Full text link
    Inference of topological and geometric attributes of a hidden manifold from its point data is a fundamental problem arising in many scientific studies and engineering applications. In this paper we present an algorithm to compute a set of loops from a point data that presumably sample a smooth manifold MRdM\subset \mathbb{R}^d. These loops approximate a {\em shortest} basis of the one dimensional homology group H1(M)H_1(M) over coefficients in finite field Z2\mathbb{Z}_2. Previous results addressed the issue of computing the rank of the homology groups from point data, but there is no result on approximating the shortest basis of a manifold from its point sample. In arriving our result, we also present a polynomial time algorithm for computing a shortest basis of H1(K)H_1(K) for any finite {\em simplicial complex} KK whose edges have non-negative weights

    Nerve complexes of circular arcs

    Full text link
    We show that the nerve complex of n arcs in the circle is homotopy equivalent to either a point, an odd-dimensional sphere, or a wedge sum of spheres of the same even dimension. Moreover this homotopy type can be computed in time O(n log n). For the particular case of the nerve complex of evenly-spaced arcs of the same length, we determine the dihedral group action on homology, and we relate the complex to a cyclic polytope with n vertices. We give three applications of our knowledge of the homotopy types of nerve complexes of circular arcs. First, we use the connection to cyclic polytopes to give a novel topological proof of a known upper bound on the distance between successive roots of a homogeneous trigonometric polynomial. Second, we show that the Lovasz bound on the chromatic number of a circular complete graph is either sharp or off by one. Third, we show that the Vietoris--Rips simplicial complex of n points in the circle is homotopy equivalent to either a point, an odd-dimensional sphere, or a wedge sum of spheres of the same even dimension, and furthermore this homotopy type can be computed in time O(n log n)
    corecore