1,378 research outputs found

    Numerics and Fractals

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    Local iterated function systems are an important generalisation of the standard (global) iterated function systems (IFSs). For a particular class of mappings, their fixed points are the graphs of local fractal functions and these functions themselves are known to be the fixed points of an associated Read-Bajactarevi\'c operator. This paper establishes existence and properties of local fractal functions and discusses how they are computed. In particular, it is shown that piecewise polynomials are a special case of local fractal functions. Finally, we develop a method to compute the components of a local IFS from data or (partial differential) equations.Comment: version 2: minor updates and section 6.1 rewritten, arXiv admin note: substantial text overlap with arXiv:1309.0243. text overlap with arXiv:1309.024

    Towards a characterization of convergent sequences of PnP_n-line graphs

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    Let HH and GG be graphs such that HH has at least 3 vertices and is connected. The HH-line graph of GG, denoted by HL(G)HL(G), is that graph whose vertices are the edges of GG and where two vertices of HL(G)HL(G) are adjacent if they are adjacent in GG and lie in a common copy of HH. For each nonnegative integer kk, let HLk(G)HL^{k}(G) denote the kk-th iteration of the HH-line graph of GG. We say that the sequence {HLk(G)}\{ HL^k(G) \} converges if there exists a positive integer NN such that HLk(G)≅HLk+1(G)HL^k(G) \cong HL^{k+1}(G), and for n≥3n \geq 3 we set Λn\Lambda_n as the set of all graphs GG whose sequence {HLk(G)}\{HL^k(G) \} converges when H≅PnH\cong P_n. The sets Λ3,Λ4\Lambda_3, \Lambda_4 and Λ5\Lambda_5 have been characterized. To progress towards the characterization of Λn\Lambda_n in general, this paper defines and studies the following property: a graph GG is minimally nn-convergent if G∈ΛnG\in \Lambda_n but no proper subgraph of GG is in Λn\Lambda_n. In addition, prove conditions that imply divergence, and use these results to develop some of the properties of minimally nn-convergent graphs.Comment: 11 pages, 11 figure

    Cluster Variation Method in Statistical Physics and Probabilistic Graphical Models

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    The cluster variation method (CVM) is a hierarchy of approximate variational techniques for discrete (Ising--like) models in equilibrium statistical mechanics, improving on the mean--field approximation and the Bethe--Peierls approximation, which can be regarded as the lowest level of the CVM. In recent years it has been applied both in statistical physics and to inference and optimization problems formulated in terms of probabilistic graphical models. The foundations of the CVM are briefly reviewed, and the relations with similar techniques are discussed. The main properties of the method are considered, with emphasis on its exactness for particular models and on its asymptotic properties. The problem of the minimization of the variational free energy, which arises in the CVM, is also addressed, and recent results about both provably convergent and message-passing algorithms are discussed.Comment: 36 pages, 17 figure

    Bond percolation on isoradial graphs: criticality and universality

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    In an investigation of percolation on isoradial graphs, we prove the criticality of canonical bond percolation on isoradial embeddings of planar graphs, thus extending celebrated earlier results for homogeneous and inhomogeneous square, triangular, and other lattices. This is achieved via the star-triangle transformation, by transporting the box-crossing property across the family of isoradial graphs. As a consequence, we obtain the universality of these models at the critical point, in the sense that the one-arm and 2j-alternating-arm critical exponents (and therefore also the connectivity and volume exponents) are constant across the family of such percolation processes. The isoradial graphs in question are those that satisfy certain weak conditions on their embedding and on their track system. This class of graphs includes, for example, isoradial embeddings of periodic graphs, and graphs derived from rhombic Penrose tilings.Comment: In v2: extended title, and small changes in the tex
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