11 research outputs found

    Sphericity, cubicity, and edge clique covers of graphs

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    AbstractThe sphericity sph(G) of a graph G is the minimum dimension d for which G is the intersection graph of a family of congruent spheres in Rd. The edge clique cover number θ(G) is the minimum cardinality of a set of cliques (complete subgraphs) that covers all edges of G. We prove that if G has at least one edge, then sph(G)⩽θ(G). Our upper bound remains valid for intersection graphs defined by balls in the Lp-norm for 1⩽p⩽∞

    Cubicity of interval graphs and the claw number

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    Let G(V,E)G(V,E) be a simple, undirected graph where VV is the set of vertices and EE is the set of edges. A bb-dimensional cube is a Cartesian product I1×I2×...×IbI_1\times I_2\times...\times I_b, where each IiI_i is a closed interval of unit length on the real line. The \emph{cubicity} of GG, denoted by \cub(G) is the minimum positive integer bb such that the vertices in GG can be mapped to axis parallel bb-dimensional cubes in such a way that two vertices are adjacent in GG if and only if their assigned cubes intersect. Suppose S(m)S(m) denotes a star graph on m+1m+1 nodes. We define \emph{claw number} ψ(G)\psi(G) of the graph to be the largest positive integer mm such that S(m)S(m) is an induced subgraph of GG. It can be easily shown that the cubicity of any graph is at least \ceil{\log_2\psi(G)}. In this paper, we show that, for an interval graph GG \ceil{\log_2\psi(G)}\le\cub(G)\le\ceil{\log_2\psi(G)}+2. Till now we are unable to find any interval graph with \cub(G)>\ceil{\log_2\psi(G)}. We also show that, for an interval graph GG, \cub(G)\le\ceil{\log_2\alpha}, where α\alpha is the independence number of GG. Therefore, in the special case of ψ(G)=α\psi(G)=\alpha, \cub(G) is exactly \ceil{\log_2\alpha}. The concept of cubicity can be generalized by considering boxes instead of cubes. A bb-dimensional box is a Cartesian product I1×I2×...×IbI_1\times I_2\times...\times I_b, where each IiI_i is a closed interval on the real line. The \emph{boxicity} of a graph, denoted box(G) box(G), is the minimum kk such that GG is the intersection graph of kk-dimensional boxes. It is clear that box(G)\le\cub(G). From the above result, it follows that for any graph GG, \cub(G)\le box(G)\ceil{\log_2\alpha}

    Cubicity, Degeneracy, and Crossing Number

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    A kk-box B=(R1,...,Rk)B=(R_1,...,R_k), where each RiR_i is a closed interval on the real line, is defined to be the Cartesian product R1×R2×...×RkR_1\times R_2\times ...\times R_k. If each RiR_i is a unit length interval, we call BB a kk-cube. Boxicity of a graph GG, denoted as \boxi(G), is the minimum integer kk such that GG is an intersection graph of kk-boxes. Similarly, the cubicity of GG, denoted as \cubi(G), is the minimum integer kk such that GG is an intersection graph of kk-cubes. It was shown in [L. Sunil Chandran, Mathew C. Francis, and Naveen Sivadasan: Representing graphs as the intersection of axis-parallel cubes. MCDES-2008, IISc Centenary Conference, available at CoRR, abs/cs/ 0607092, 2006.] that, for a graph GG with maximum degree Δ\Delta, \cubi(G)\leq \lceil 4(\Delta +1)\log n\rceil. In this paper, we show that, for a kk-degenerate graph GG, \cubi(G) \leq (k+2) \lceil 2e \log n \rceil. Since kk is at most Δ\Delta and can be much lower, this clearly is a stronger result. This bound is tight. We also give an efficient deterministic algorithm that runs in O(n2k)O(n^2k) time to output a 8k(2.42logn+1)8k(\lceil 2.42 \log n\rceil + 1) dimensional cube representation for GG. An important consequence of the above result is that if the crossing number of a graph GG is tt, then \boxi(G) is O(t1/4logt3/4)O(t^{1/4}{\lceil\log t\rceil}^{3/4}) . This bound is tight up to a factor of O((logt)1/4)O((\log t)^{1/4}). We also show that, if GG has nn vertices, then \cubi(G) is O(logn+t1/4logt)O(\log n + t^{1/4}\log t). Using our bound for the cubicity of kk-degenerate graphs we show that cubicity of almost all graphs in G(n,m)\mathcal{G}(n,m) model is O(davlogn)O(d_{av}\log n), where davd_{av} denotes the average degree of the graph under consideration.Comment: 21 page

    OV Graphs Are (Probably) Hard Instances

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    © Josh Alman and Virginia Vassilevska Williams. A graph G on n nodes is an Orthogonal Vectors (OV) graph of dimension d if there are vectors v1, . . ., vn ∈ {0, 1}d such that nodes i and j are adjacent in G if and only if hvi, vji = 0 over Z. In this paper, we study a number of basic graph algorithm problems, except where one is given as input the vectors defining an OV graph instead of a general graph. We show that for each of the following problems, an algorithm solving it faster on such OV graphs G of dimension only d = O(log n) than in the general case would refute a plausible conjecture about the time required to solve sparse MAX-k-SAT instances: Determining whether G contains a triangle. More generally, determining whether G contains a directed k-cycle for any k ≥ 3. Computing the square of the adjacency matrix of G over Z or F2. Maintaining the shortest distance between two fixed nodes of G, or whether G has a perfect matching, when G is a dynamically updating OV graph. We also prove some complementary results about OV graphs. We show that any problem which is NP-hard on constant-degree graphs is also NP-hard on OV graphs of dimension O(log n), and we give two problems which can be solved faster on OV graphs than in general: Maximum Clique, and Online Matrix-Vector Multiplication

    Edge Clique Cover of Claw-free Graphs

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    The smallest number of cliques, covering all edges of a graph G G , is called the (edge) clique cover number of G G and is denoted by cc(G) cc(G) . It is an easy observation that for every line graph G G with n n vertices, cc(G)ncc(G)\leq n . G. Chen et al. [Discrete Math. 219 (2000), no. 1--3, 17--26; MR1761707] extended this observation to all quasi-line graphs and questioned if the same assertion holds for all claw-free graphs. In this paper, using the celebrated structure theorem of claw-free graphs due to Chudnovsky and Seymour, we give an affirmative answer to this question for all claw-free graphs with independence number at least three. In particular, we prove that if G G is a connected claw-free graph on n n vertices with α(G)3 \alpha(G)\geq 3 , then cc(G)n cc(G)\leq n and equality holds if and only if G G is either the graph of icosahedron, or the complement of a graph on 1010 vertices called twister or the pthp^{th} power of the cycle Cn C_n , for 1p(n1)/31\leq p \leq \lfloor (n-1)/3\rfloor .Comment: 74 pages, 4 figure
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