16,283 research outputs found

    Stripes on rectangular tilings

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    We consider a class of cut-and-project sets \Lambda = \Lambda_F \times \zahl in the plane. Let L=Λ+wL=\Lambda+w\real, w2w\in\real^2, be a countable union of parallel lines. Then either (1) LL is a discrete family of lines, (2) LL is a dense subset of 2\real^2, or (3) each connected component of the closure of LL is homeomorphic to [0,1]×[0,1] \times \real.Comment: 6 pages, 2 figure

    A convex combinatorial property of compact sets in the plane and its roots in lattice theory

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    K. Adaricheva and M. Bolat have recently proved that if U0U_0 and U1U_1 are circles in a triangle with vertices A0,A1,A2A_0,A_1,A_2, then there exist j{0,1,2}j\in \{0,1,2\} and k{0,1}k\in\{0,1\} such that U1kU_{1-k} is included in the convex hull of Uk({A0,A1,A2}{Aj})U_k\cup(\{A_0,A_1, A_2\}\setminus\{A_j\}). One could say disks instead of circles. Here we prove the existence of such a jj and kk for the more general case where U0U_0 and U1U_1 are compact sets in the plane such that U1U_1 is obtained from U0U_0 by a positive homothety or by a translation. Also, we give a short survey to show how lattice theoretical antecedents, including a series of papers on planar semimodular lattices by G. Gratzer and E. Knapp, lead to our result.Comment: 28 pages, 7 figure

    Axiomatic Digital Topology

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    The paper presents a new set of axioms of digital topology, which are easily understandable for application developers. They define a class of locally finite (LF) topological spaces. An important property of LF spaces satisfying the axioms is that the neighborhood relation is antisymmetric and transitive. Therefore any connected and non-trivial LF space is isomorphic to an abstract cell complex. The paper demonstrates that in an n-dimensional digital space only those of the (a, b)-adjacencies commonly used in computer imagery have analogs among the LF spaces, in which a and b are different and one of the adjacencies is the "maximal" one, corresponding to 3n\"i1 neighbors. Even these (a, b)-adjacencies have important limitations and drawbacks. The most important one is that they are applicable only to binary images. The way of easily using LF spaces in computer imagery on standard orthogonal grids containing only pixels or voxels and no cells of lower dimensions is suggested

    A Combinatorial Algorithm for All-Pairs Shortest Paths in Directed Vertex-Weighted Graphs with Applications to Disc Graphs

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    We consider the problem of computing all-pairs shortest paths in a directed graph with real weights assigned to vertices. For an n×nn\times n 0-1 matrix C,C, let KCK_{C} be the complete weighted graph on the rows of CC where the weight of an edge between two rows is equal to their Hamming distance. Let MWT(C)MWT(C) be the weight of a minimum weight spanning tree of KC.K_{C}. We show that the all-pairs shortest path problem for a directed graph GG on nn vertices with nonnegative real weights and adjacency matrix AGA_G can be solved by a combinatorial randomized algorithm in time O~(n2n+min{MWT(AG),MWT(AGt)})\widetilde{O}(n^{2}\sqrt {n + \min\{MWT(A_G), MWT(A_G^t)\}}) As a corollary, we conclude that the transitive closure of a directed graph GG can be computed by a combinatorial randomized algorithm in the aforementioned time. O~(n2n+min{MWT(AG),MWT(AGt)})\widetilde{O}(n^{2}\sqrt {n + \min\{MWT(A_G), MWT(A_G^t)\}}) We also conclude that the all-pairs shortest path problem for uniform disk graphs, with nonnegative real vertex weights, induced by point sets of bounded density within a unit square can be solved in time O~(n2.75)\widetilde{O}(n^{2.75})

    Finite convex geometries of circles

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    Let F be a finite set of circles in the plane. We point out that the usual convex closure restricted to F yields a convex geometry, that is, a combinatorial structure introduced by P. H Edelman in 1980 under the name "anti-exchange closure system". We prove that if the circles are collinear and they are arranged in a "concave way", then they determine a convex geometry of convex dimension at most 2, and each finite convex geometry of convex dimension at most 2 can be represented this way. The proof uses some recent results from Lattice Theory, and some of the auxiliary statements on lattices or convex geometries could be of separate interest. The paper is concluded with some open problems.Comment: 22 pages, 7 figure
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