24,544 research outputs found

    Distance Geometry in Quasihypermetric Spaces. III

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    Let (X,d)(X, d) be a compact metric space and let M(X)\mathcal{M}(X) denote the space of all finite signed Borel measures on XX. Define I ⁣:M(X)RI \colon \mathcal{M}(X) \to \R by I(μ)=XXd(x,y)dμ(x)dμ(y), I(\mu) = \int_X \int_X d(x,y) d\mu(x) d\mu(y), and set M(X)=supI(μ)M(X) = \sup I(\mu), where μ\mu ranges over the collection of signed measures in M(X)\mathcal{M}(X) of total mass 1. This paper, with two earlier papers [Peter Nickolas and Reinhard Wolf, Distance geometry in quasihypermetric spaces. I and II], investigates the geometric constant M(X)M(X) and its relationship to the metric properties of XX and the functional-analytic properties of a certain subspace of M(X)\mathcal{M}(X) when equipped with a natural semi-inner product. Specifically, this paper explores links between the properties of M(X)M(X) and metric embeddings of XX, and the properties of M(X)M(X) when XX is a finite metric space.Comment: 20 pages. References [10] and [11] are arXiv:0809.0740v1 [math.MG] and arXiv:0809.0744v1 [math.MG

    Optimally fast incremental Manhattan plane embedding and planar tight span construction

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    We describe a data structure, a rectangular complex, that can be used to represent hyperconvex metric spaces that have the same topology (although not necessarily the same distance function) as subsets of the plane. We show how to use this data structure to construct the tight span of a metric space given as an n x n distance matrix, when the tight span is homeomorphic to a subset of the plane, in time O(n^2), and to add a single point to a planar tight span in time O(n). As an application of this construction, we show how to test whether a given finite metric space embeds isometrically into the Manhattan plane in time O(n^2), and add a single point to the space and re-test whether it has such an embedding in time O(n).Comment: 39 pages, 15 figure

    Embedding Properties of sets with finite box-counting dimension

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    In this paper we study the regularity of embeddings of finite--dimensional subsets of Banach spaces into Euclidean spaces. In 1999, Hunt and Kaloshin [Nonlinearity 12 1263-1275] introduced the thickness exponent and proved an embedding theorem for subsets of Hilbert spaces with finite box--counting dimension. In 2009, Robinson [Nonlinearity 22 711-728] defined the dual thickness and extended the result to subsets of Banach spaces. Here we prove a similar result for subsets of Banach spaces, using the thickness rather than the dual thickness. We also study the relation between the box-counting dimension and these two thickness exponents for some particular subsets of p\ell_{p}.Comment: Submitted, Referres comments addresse

    Diversities and the Geometry of Hypergraphs

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    The embedding of finite metrics in 1\ell_1 has become a fundamental tool for both combinatorial optimization and large-scale data analysis. One important application is to network flow problems in which there is close relation between max-flow min-cut theorems and the minimal distortion embeddings of metrics into 1\ell_1. Here we show that this theory can be generalized considerably to encompass Steiner tree packing problems in both graphs and hypergraphs. Instead of the theory of 1\ell_1 metrics and minimal distortion embeddings, the parallel is the theory of diversities recently introduced by Bryant and Tupper, and the corresponding theory of 1\ell_1 diversities and embeddings which we develop here.Comment: 19 pages, no figures. This version: further small correction

    Density of Spherically-Embedded Stiefel and Grassmann Codes

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    The density of a code is the fraction of the coding space covered by packing balls centered around the codewords. This paper investigates the density of codes in the complex Stiefel and Grassmann manifolds equipped with the chordal distance. The choice of distance enables the treatment of the manifolds as subspaces of Euclidean hyperspheres. In this geometry, the densest packings are not necessarily equivalent to maximum-minimum-distance codes. Computing a code's density follows from computing: i) the normalized volume of a metric ball and ii) the kissing radius, the radius of the largest balls one can pack around the codewords without overlapping. First, the normalized volume of a metric ball is evaluated by asymptotic approximations. The volume of a small ball can be well-approximated by the volume of a locally-equivalent tangential ball. In order to properly normalize this approximation, the precise volumes of the manifolds induced by their spherical embedding are computed. For larger balls, a hyperspherical cap approximation is used, which is justified by a volume comparison theorem showing that the normalized volume of a ball in the Stiefel or Grassmann manifold is asymptotically equal to the normalized volume of a ball in its embedding sphere as the dimension grows to infinity. Then, bounds on the kissing radius are derived alongside corresponding bounds on the density. Unlike spherical codes or codes in flat spaces, the kissing radius of Grassmann or Stiefel codes cannot be exactly determined from its minimum distance. It is nonetheless possible to derive bounds on density as functions of the minimum distance. Stiefel and Grassmann codes have larger density than their image spherical codes when dimensions tend to infinity. Finally, the bounds on density lead to refinements of the standard Hamming bounds for Stiefel and Grassmann codes.Comment: Two-column version (24 pages, 6 figures, 4 tables). To appear in IEEE Transactions on Information Theor

    Green's J-order and the rank of tropical matrices

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    We study Green's J-order and J-equivalence for the semigroup of all n-by-n matrices over the tropical semiring. We give an exact characterisation of the J-order, in terms of morphisms between tropical convex sets. We establish connections between the J-order, isometries of tropical convex sets, and various notions of rank for tropical matrices. We also study the relationship between the relations J and D; Izhakian and Margolis have observed that DJD \neq J for the semigroup of all 3-by-3 matrices over the tropical semiring with -\infty, but in contrast, we show that D=JD = J for all full matrix semigroups over the finitary tropical semiring.Comment: 21 pages, exposition improve
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