22,888 research outputs found

    PDEs level sets on weighted graphs

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    International audienceIn this paper we propose an adaptation of PDEs level sets over weighted graphs of arbitrary structure, based on PdEs and using a framework of discrete operators. A general PDEs level sets formulation is presented and an algorithm to solve such equation is described. Some transcriptions of well-known models under this formalism, as the mean-curvature-motion or active contours, are also provided. Then, we present several applications of our formalism, including image segmentation with active contours, using weighted graphs of arbitrary topologies

    A Study on Topological Integer Additive Set-Labeling of Graphs

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    A set-labeling of a graph GG is an injective function f:V(G)→P(X)f:V(G)\to \mathcal{P}(X), where XX is a finite set and a set-indexer of GG is a set-labeling such that the induced function f⊕:E(G)→P(X)−{∅}f^{\oplus}:E(G)\to \mathcal{P}(X)-\{\emptyset\} defined by f⊕(uv)=f(u)⊕f(v)f^{\oplus}(uv) = f(u){\oplus}f(v) for every uv∈E(G)uv{\in} E(G) is also injective. Let GG be a graph and let XX be a non-empty set. A set-indexer f:V(G)→P(X)f:V(G)\to \mathcal{P}(X) is called a topological set-labeling of GG if f(V(G))f(V(G)) is a topology of XX. An integer additive set-labeling is an injective function f:V(G)→P(N0)f:V(G)\to \mathcal{P}(\mathbb{N}_0), whose associated function f+:E(G)→P(N0)f^+:E(G)\to \mathcal{P}(\mathbb{N}_0) is defined by f(uv)=f(u)+f(v),uv∈E(G)f(uv)=f(u)+f(v), uv\in E(G), where N0\mathbb{N}_0 is the set of all non-negative integers and P(N0)\mathcal{P}(\mathbb{N}_0) is its power set. An integer additive set-indexer is an integer additive set-labeling such that the induced function f+:E(G)→P(N0)f^+:E(G) \to \mathcal{P}(\mathbb{N}_0) defined by f+(uv)=f(u)+f(v)f^+ (uv) = f(u)+ f(v) is also injective. In this paper, we extend the concepts of topological set-labeling of graphs to topological integer additive set-labeling of graphs.Comment: 16 pages, 7 figures, Accepted for publication. arXiv admin note: text overlap with arXiv:1403.398

    Ricci Curvature of the Internet Topology

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    Analysis of Internet topologies has shown that the Internet topology has negative curvature, measured by Gromov's "thin triangle condition", which is tightly related to core congestion and route reliability. In this work we analyze the discrete Ricci curvature of the Internet, defined by Ollivier, Lin, etc. Ricci curvature measures whether local distances diverge or converge. It is a more local measure which allows us to understand the distribution of curvatures in the network. We show by various Internet data sets that the distribution of Ricci cuvature is spread out, suggesting the network topology to be non-homogenous. We also show that the Ricci curvature has interesting connections to both local measures such as node degree and clustering coefficient, global measures such as betweenness centrality and network connectivity, as well as auxilary attributes such as geographical distances. These observations add to the richness of geometric structures in complex network theory.Comment: 9 pages, 16 figures. To be appear on INFOCOM 201

    Enumerations of finite topologies associated with a finite graph

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    The number of topologies and non-homeomorphic topologies on a fixed finite set are now known up to n=18n=18, n=16n=16 but still no complete formula yet (Sloane). There are one to one correspondence among topologies, preorder and digraphs. In this article, we enumerate topologies and non-homeomorphic topologies whose underlying graph is a given finite graph.Comment: 2 figure

    A semidefinite programming hierarchy for packing problems in discrete geometry

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    Packing problems in discrete geometry can be modeled as finding independent sets in infinite graphs where one is interested in independent sets which are as large as possible. For finite graphs one popular way to compute upper bounds for the maximal size of an independent set is to use Lasserre's semidefinite programming hierarchy. We generalize this approach to infinite graphs. For this we introduce topological packing graphs as an abstraction for infinite graphs coming from packing problems in discrete geometry. We show that our hierarchy converges to the independence number.Comment: (v2) 25 pages, revision based on suggestions by referee, accepted in Mathematical Programming Series B special issue on polynomial optimizatio

    Topologies of nodal sets of random band limited functions

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    It is shown that the topologies and nestings of the zero and nodal sets of random (Gaussian) band limited functions have universal laws of distribution. Qualitative features of the supports of these distributions are determined. In particular the results apply to random monochromatic waves and to random real algebraic hyper-surfaces in projective space.Comment: An announcement of recent results. Includes an announcement of the resolution of some open questions from the older version. 11 pages, 6 figure
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