2,104 research outputs found

    Sufficient Conditions for Tuza's Conjecture on Packing and Covering Triangles

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    Given a simple graph G=(V,E)G=(V,E), a subset of EE is called a triangle cover if it intersects each triangle of GG. Let νt(G)\nu_t(G) and τt(G)\tau_t(G) denote the maximum number of pairwise edge-disjoint triangles in GG and the minimum cardinality of a triangle cover of GG, respectively. Tuza conjectured in 1981 that τt(G)/νt(G)2\tau_t(G)/\nu_t(G)\le2 holds for every graph GG. In this paper, using a hypergraph approach, we design polynomial-time combinatorial algorithms for finding small triangle covers. These algorithms imply new sufficient conditions for Tuza's conjecture on covering and packing triangles. More precisely, suppose that the set TG\mathscr T_G of triangles covers all edges in GG. We show that a triangle cover of GG with cardinality at most 2νt(G)2\nu_t(G) can be found in polynomial time if one of the following conditions is satisfied: (i) νt(G)/TG13\nu_t(G)/|\mathscr T_G|\ge\frac13, (ii) νt(G)/E14\nu_t(G)/|E|\ge\frac14, (iii) E/TG2|E|/|\mathscr T_G|\ge2. Keywords: Triangle cover, Triangle packing, Linear 3-uniform hypergraphs, Combinatorial algorithm

    Approximation Algorithms for Polynomial-Expansion and Low-Density Graphs

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    We study the family of intersection graphs of low density objects in low dimensional Euclidean space. This family is quite general, and includes planar graphs. We prove that such graphs have small separators. Next, we present efficient (1+ε)(1+\varepsilon)-approximation algorithms for these graphs, for Independent Set, Set Cover, and Dominating Set problems, among others. We also prove corresponding hardness of approximation for some of these optimization problems, providing a characterization of their intractability in terms of density

    Packing and covering with balls on Busemann surfaces

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    In this note we prove that for any compact subset SS of a Busemann surface (S,d)({\mathcal S},d) (in particular, for any simple polygon with geodesic metric) and any positive number δ\delta, the minimum number of closed balls of radius δ\delta with centers at S\mathcal S and covering the set SS is at most 19 times the maximum number of disjoint closed balls of radius δ\delta centered at points of SS: ν(S)ρ(S)19ν(S)\nu(S) \le \rho(S) \le 19\nu(S), where ρ(S)\rho(S) and ν(S)\nu(S) are the covering and the packing numbers of SS by δ{\delta}-balls.Comment: 27 page

    A Pfaffian formula for monomer-dimer partition functions

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    We consider the monomer-dimer partition function on arbitrary finite planar graphs and arbitrary monomer and dimer weights, with the restriction that the only non-zero monomer weights are those on the boundary. We prove a Pfaffian formula for the corresponding partition function. As a consequence of this result, multipoint boundary monomer correlation functions at close packing are shown to satisfy fermionic statistics. Our proof is based on the celebrated Kasteleyn theorem, combined with a theorem on Pfaffians proved by one of the authors, and a careful labeling and directing procedure of the vertices and edges of the graph.Comment: Added referenc

    On the tractability of some natural packing, covering and partitioning problems

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    In this paper we fix 7 types of undirected graphs: paths, paths with prescribed endvertices, circuits, forests, spanning trees, (not necessarily spanning) trees and cuts. Given an undirected graph G=(V,E)G=(V,E) and two "object types" A\mathrm{A} and B\mathrm{B} chosen from the alternatives above, we consider the following questions. \textbf{Packing problem:} can we find an object of type A\mathrm{A} and one of type B\mathrm{B} in the edge set EE of GG, so that they are edge-disjoint? \textbf{Partitioning problem:} can we partition EE into an object of type A\mathrm{A} and one of type B\mathrm{B}? \textbf{Covering problem:} can we cover EE with an object of type A\mathrm{A}, and an object of type B\mathrm{B}? This framework includes 44 natural graph theoretic questions. Some of these problems were well-known before, for example covering the edge-set of a graph with two spanning trees, or finding an ss-tt path PP and an ss'-tt' path PP' that are edge-disjoint. However, many others were not, for example can we find an ss-tt path PEP\subseteq E and a spanning tree TET\subseteq E that are edge-disjoint? Most of these previously unknown problems turned out to be NP-complete, many of them even in planar graphs. This paper determines the status of these 44 problems. For the NP-complete problems we also investigate the planar version, for the polynomial problems we consider the matroidal generalization (wherever this makes sense)

    Decomposition of multiple packings with subquadratic union complexity

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    Suppose kk is a positive integer and X\mathcal{X} is a kk-fold packing of the plane by infinitely many arc-connected compact sets, which means that every point of the plane belongs to at most kk sets. Suppose there is a function f(n)=o(n2)f(n)=o(n^2) with the property that any nn members of X\mathcal{X} determine at most f(n)f(n) holes, which means that the complement of their union has at most f(n)f(n) bounded connected components. We use tools from extremal graph theory and the topological Helly theorem to prove that X\mathcal{X} can be decomposed into at most pp (11-fold) packings, where pp is a constant depending only on kk and ff.Comment: Small generalization of the main result, improvements in the proofs, minor correction

    Dense packing on uniform lattices

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    We study the Hard Core Model on the graphs G{\rm {\bf \scriptstyle G}} obtained from Archimedean tilings i.e. configurations in {0,1}G\scriptstyle \{0,1\}^{{\rm {\bf G}}} with the nearest neighbor 1's forbidden. Our particular aim in choosing these graphs is to obtain insight to the geometry of the densest packings in a uniform discrete set-up. We establish density bounds, optimal configurations reaching them in all cases, and introduce a probabilistic cellular automaton that generates the legal configurations. Its rule involves a parameter which can be naturally characterized as packing pressure. It can have a critical value but from packing point of view just as interesting are the noncritical cases. These phenomena are related to the exponential size of the set of densest packings and more specifically whether these packings are maximally symmetric, simple laminated or essentially random packings.Comment: 18 page

    Vertex and edge covers with clustering properties: complexity and algorithms

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    We consider the concepts of a t-total vertex cover and a t-total edge cover (t≥1), which generalise the notions of a vertex cover and an edge cover, respectively. A t-total vertex (respectively edge) cover of a connected graph G is a vertex (edge) cover S of G such that each connected component of the subgraph of G induced by S has at least t vertices (edges). These definitions are motivated by combining the concepts of clustering and covering in graphs. Moreover they yield a spectrum of parameters that essentially range from a vertex cover to a connected vertex cover (in the vertex case) and from an edge cover to a spanning tree (in the edge case). For various values of t, we present NP-completeness and approximability results (both upper and lower bounds) and FTP algorithms for problems concerned with finding the minimum size of a t-total vertex cover, t-total edge cover and connected vertex cover, in particular improving on a previous FTP algorithm for the latter problem

    Randomness in topological models

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    p. 914-925There are two aspects of randomness in topological models. In the first one, topological idealization of random patterns found in the Nature can be regarded as planar representations of three-dimensional lattices and thus reconstructed in the space. Another aspect of randomness is related to graphs in which some properties are determined in a random way. For example, combinatorial properties of graphs: number of vertices, number of edges, and connections between them can be regarded as events in the defined probability space. Random-graph theory deals with a question: at what connection probability a particular property reveals. Combination of probabilistic description of planar graphs and their spatial reconstruction creates new opportunities in structural form-finding, especially in the inceptive, the most creative, stage.Tarczewski, R.; Bober, W. (2010). Randomness in topological models. Editorial Universitat Politècnica de València. http://hdl.handle.net/10251/695
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