305,291 research outputs found

    Random Graphs with Hidden Color

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    We propose and investigate a unifying class of sparse random graph models, based on a hidden coloring of edge-vertex incidences, extending an existing approach, Random graphs with a given degree distribution, in a way that admits a nontrivial correlation structure in the resulting graphs. The approach unifies a number of existing random graph ensembles within a common general formalism, and allows for the analytic calculation of observable graph characteristics. In particular, generating function techniques are used to derive the size distribution of connected components (clusters) as well as the location of the percolation threshold where a giant component appears.Comment: 4 pages, no figures, RevTe

    A Sard theorem for Tame Set-Valued mappings

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    If FF is a set-valued mapping from Rn\R^n into Rm\R^m with closed graph, then y∈Rmy\in \R^m is a critical value of FF if for some xx with y∈F(x)y\in F(x), FF is not metrically regular at (x,y)(x,y). We prove that the set of critical values of a set-valued mapping whose graph is a definable (tame) set in an oo-minimal structure containing additions and multiplications is a set of dimension not greater than m−1m-1 (resp. a porous set). As a corollary of this result we get that the collection of asymptotically critical values of a semialgebraic set-valued mapping has dimension not greater than m−1m-1, thus extending to such mappings a corresponding result by Kurdyka-Orro-Simon for C1C^1 semialgebraic mappings. We also give an independent proof of the fact that a definable continuous real-valued function is constant on components of the set of its subdifferentiably critical points, thus extending to all definable functions a recent result of Bolte-Daniilidis-Lewis for globally subanalytic functions.Comment: 23

    A transfer principle and applications to eigenvalue estimates for graphs

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    In this paper, we prove a variant of the Burger-Brooks transfer principle which, combined with recent eigenvalue bounds for surfaces, allows to obtain upper bounds on the eigenvalues of graphs as a function of their genus. More precisely, we show the existence of a universal constants CC such that the kk-th eigenvalue λknr\lambda_k^{nr} of the normalized Laplacian of a graph GG of (geometric) genus gg on nn vertices satisfies λknr(G)≀Cdmax⁥(g+k)n,\lambda_k^{nr}(G) \leq C \frac{d_{\max}(g+k)}{n}, where dmax⁥d_{\max} denotes the maximum valence of vertices of the graph. This result is tight up to a change in the value of the constant CC, and improves recent results of Kelner, Lee, Price and Teng on bounded genus graphs. To show that the transfer theorem might be of independent interest, we relate eigenvalues of the Laplacian on a metric graph to the eigenvalues of its simple graph models, and discuss an application to the mesh partitioning problem, extending pioneering results of Miller-Teng-Thurston-Vavasis and Spielman-Tang to arbitrary meshes.Comment: Major revision, 16 page

    Toward An Uncertainty Principle For Weighted Graphs

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    International audienceThe uncertainty principle states that a signal cannot be localized both in time and frequency. With the aim of extending this result to signals on graphs, Agaskar & Lu introduce notions of graph and spectral spreads. They show that a graph uncertainty principle holds for some families of unweighted graphs. This principle states that a signal cannot be simultaneously localized both in graph and spectral domains. In this paper, we aim to extend their work to weighted graphs. We show that a naive extension of their definitions leads to inconsistent results such as discontinuity of the graph spread when regarded as a function of the graph structure. To circumvent this problem, we propose another definition of graph spread that relies on an inverse similarity matrix. We also discuss the choice of the distance function that appears in this definition. Finally, we compute and plot uncertainty curves for families of weighted graphs

    Separation conditions for iterated function systems with overlaps on Riemannian manifolds

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    We formulate the weak separation condition and the finite type condition for conformal iterated function systems on Riemannian manifolds with nonnegative Ricci curvature, and generalize the main theorems by Lau \textit{et al.} in [Monatsch. Math. 156 (2009), 325-355]. We also obtain a formula for the Hausdorff dimension of a self-similar set defined by an iterated function system satisfying the finite type condition, generalizing a corresponding result by Jin-Yau [Comm. Anal. Geom. 13 (2005), 821--843] and Lau-Ngai [Adv. Math. 208 (2007), 647-671] on Euclidean spaces. Moreover, we obtain a formula for the Hausdorff dimension of a graph self-similar set generated by a graph-directed iterated function system satisfying the graph finite type condition, extending a result by Ngai \textit{et al.} in [Nonlinearity 23 (2010), 2333--2350]

    Acylindricity of the action of right-angled Artin groups on extension graphs

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    The action of a right-angled Artin group on its extension graph is known to be acylindrical because the cardinality of the so-called rr-quasi-stabilizer of a pair of distant points is bounded above by a function of rr. The known upper bound of the cardinality is an exponential function of rr. In this paper we show that the rr-quasi-stabilizer is a subset of a cyclic group and its cardinality is bounded above by a linear function of rr. This is done by exploring lattice theoretic properties of group elements, studying prefixes of powers and extending the uniqueness of quasi-roots from word length to star length. We also improve the known lower bound for the minimal asymptotic translation length of a right angled Artin group on its extension graph

    Monge extensions of cooperation and communication structures

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    Cooperation structures without any {\it a priori} assumptions on the combinatorial structure of feasible coalitions are studied and a general theory for mar\-ginal values, cores and convexity is established. The theory is based on the notion of a Monge extension of a general characteristic function, which is equivalent to the LovĂĄsz extension in the special situation of a classical cooperative game. It is shown that convexity of a cooperation structure is tantamount to the equality of the associated core and Weber set. Extending Myerson's graph model for game theoretic communication, general communication structures are introduced and it is shown that a notion of supermodularity exists for this class that characterizes convexity and properly extends Shapley's convexity model for classical cooperative games.
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