5,370 research outputs found

    Minimal surfaces from circle patterns: Geometry from combinatorics

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    We suggest a new definition for discrete minimal surfaces in terms of sphere packings with orthogonally intersecting circles. These discrete minimal surfaces can be constructed from Schramm's circle patterns. We present a variational principle which allows us to construct discrete analogues of some classical minimal surfaces. The data used for the construction are purely combinatorial--the combinatorics of the curvature line pattern. A Weierstrass-type representation and an associated family are derived. We show the convergence to continuous minimal surfaces.Comment: 30 pages, many figures, some in reduced resolution. v2: Extended introduction. Minor changes in presentation. v3: revision according to the referee's suggestions, improved & expanded exposition, references added, minor mistakes correcte

    Lecture notes: Semidefinite programs and harmonic analysis

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    Lecture notes for the tutorial at the workshop HPOPT 2008 - 10th International Workshop on High Performance Optimization Techniques (Algebraic Structure in Semidefinite Programming), June 11th to 13th, 2008, Tilburg University, The Netherlands.Comment: 31 page

    Packing Chromatic Number of Distance Graphs

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    The packing chromatic number χρ(G)\chi_{\rho}(G) of a graph GG is the smallest integer kk such that vertices of GG can be partitioned into disjoint classes X1,...,XkX_1, ..., X_k where vertices in XiX_i have pairwise distance greater than ii. We study the packing chromatic number of infinite distance graphs G(Z,D)G(Z, D), i.e. graphs with the set ZZ of integers as vertex set and in which two distinct vertices i,jZi, j \in Z are adjacent if and only if ijD|i - j| \in D. In this paper we focus on distance graphs with D={1,t}D = \{1, t\}. We improve some results of Togni who initiated the study. It is shown that χρ(G(Z,D))35\chi_{\rho}(G(Z, D)) \leq 35 for sufficiently large odd tt and χρ(G(Z,D))56\chi_{\rho}(G(Z, D)) \leq 56 for sufficiently large even tt. We also give a lower bound 12 for t9t \geq 9 and tighten several gaps for χρ(G(Z,D))\chi_{\rho}(G(Z, D)) with small tt.Comment: 13 pages, 3 figure

    Weighted Min-Cut: Sequential, Cut-Query and Streaming Algorithms

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    Consider the following 2-respecting min-cut problem. Given a weighted graph GG and its spanning tree TT, find the minimum cut among the cuts that contain at most two edges in TT. This problem is an important subroutine in Karger's celebrated randomized near-linear-time min-cut algorithm [STOC'96]. We present a new approach for this problem which can be easily implemented in many settings, leading to the following randomized min-cut algorithms for weighted graphs. * An O(mlog2nloglogn+nlog6n)O(m\frac{\log^2 n}{\log\log n} + n\log^6 n)-time sequential algorithm: This improves Karger's O(mlog3n)O(m \log^3 n) and O(m(log2n)log(n2/m)loglogn+nlog6n)O(m\frac{(\log^2 n)\log (n^2/m)}{\log\log n} + n\log^6 n) bounds when the input graph is not extremely sparse or dense. Improvements over Karger's bounds were previously known only under a rather strong assumption that the input graph is simple [Henzinger et al. SODA'17; Ghaffari et al. SODA'20]. For unweighted graphs with parallel edges, our bound can be improved to O(mlog1.5nloglogn+nlog6n)O(m\frac{\log^{1.5} n}{\log\log n} + n\log^6 n). * An algorithm requiring O~(n)\tilde O(n) cut queries to compute the min-cut of a weighted graph: This answers an open problem by Rubinstein et al. ITCS'18, who obtained a similar bound for simple graphs. * A streaming algorithm that requires O~(n)\tilde O(n) space and O(logn)O(\log n) passes to compute the min-cut: The only previous non-trivial exact min-cut algorithm in this setting is the 2-pass O~(n)\tilde O(n)-space algorithm on simple graphs [Rubinstein et al., ITCS'18] (observed by Assadi et al. STOC'19). In contrast to Karger's 2-respecting min-cut algorithm which deploys sophisticated dynamic programming techniques, our approach exploits some cute structural properties so that it only needs to compute the values of O~(n)\tilde O(n) cuts corresponding to removing O~(n)\tilde O(n) pairs of tree edges, an operation that can be done quickly in many settings.Comment: Updates on this version: (1) Minor corrections in Section 5.1, 5.2; (2) Reference to newer results by GMW SOSA21 (arXiv:2008.02060v2), DEMN STOC21 (arXiv:2004.09129v2) and LMN 21 (arXiv:2102.06565v1

    Transversal designs and induced decompositions of graphs

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    We prove that for every complete multipartite graph FF there exist very dense graphs GnG_n on nn vertices, namely with as many as (n2)cn{n\choose 2}-cn edges for all nn, for some constant c=c(F)c=c(F), such that GnG_n can be decomposed into edge-disjoint induced subgraphs isomorphic to~FF. This result identifies and structurally explains a gap between the growth rates O(n)O(n) and Ω(n3/2)\Omega(n^{3/2}) on the minimum number of non-edges in graphs admitting an induced FF-decomposition
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