18,124 research outputs found

    The maximum genus of graphs with diameter three

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    AbstractThis paper shows that if G is a simple graph with diameter three then G is up-embeddable unless G is either a Δ2-graph (Fig. 1) or a Δ3-graph (Fig. 2) with ξ(G) = 2, i.e., the maximum genus γM(G) = (β(G) − 2)/2

    A Note on the Maximum Genus of Graphs with Diameter 4

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    Let G be a simple graph with diameter four, if G does not contain complete subgraph K3 of order three

    Constructions of Large Graphs on Surfaces

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    We consider the degree/diameter problem for graphs embedded in a surface, namely, given a surface Σ\Sigma and integers Δ\Delta and kk, determine the maximum order N(Δ,k,Σ)N(\Delta,k,\Sigma) of a graph embeddable in Σ\Sigma with maximum degree Δ\Delta and diameter kk. We introduce a number of constructions which produce many new largest known planar and toroidal graphs. We record all these graphs in the available tables of largest known graphs. Given a surface Σ\Sigma of Euler genus gg and an odd diameter kk, the current best asymptotic lower bound for N(Δ,k,Σ)N(\Delta,k,\Sigma) is given by 38gΔk/2.\sqrt{\frac{3}{8}g}\Delta^{\lfloor k/2\rfloor}. Our constructions produce new graphs of order \begin{cases}6\Delta^{\lfloor k/2\rfloor}& \text{if $\Sigma$ is the Klein bottle}\\ \(\frac{7}{2}+\sqrt{6g+\frac{1}{4}}\)\Delta^{\lfloor k/2\rfloor}& \text{otherwise,}\end{cases} thus improving the former value by a factor of 4.Comment: 15 pages, 7 figure

    Diameter and Treewidth in Minor-Closed Graph Families

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    It is known that any planar graph with diameter D has treewidth O(D), and this fact has been used as the basis for several planar graph algorithms. We investigate the extent to which similar relations hold in other graph families. We show that treewidth is bounded by a function of the diameter in a minor-closed family, if and only if some apex graph does not belong to the family. In particular, the O(D) bound above can be extended to bounded-genus graphs. As a consequence, we extend several approximation algorithms and exact subgraph isomorphism algorithms from planar graphs to other graph families.Comment: 15 pages, 12 figure

    The degree-diameter problem for sparse graph classes

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    The degree-diameter problem asks for the maximum number of vertices in a graph with maximum degree Δ\Delta and diameter kk. For fixed kk, the answer is Θ(Δk)\Theta(\Delta^k). We consider the degree-diameter problem for particular classes of sparse graphs, and establish the following results. For graphs of bounded average degree the answer is Θ(Δk1)\Theta(\Delta^{k-1}), and for graphs of bounded arboricity the answer is \Theta(\Delta^{\floor{k/2}}), in both cases for fixed kk. For graphs of given treewidth, we determine the the maximum number of vertices up to a constant factor. More precise bounds are given for graphs of given treewidth, graphs embeddable on a given surface, and apex-minor-free graphs

    Graphs in the 3--sphere with maximum symmetry

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    We consider the orientation-preserving actions of finite groups GG on pairs (S3,Γ)(S^3, \Gamma), where Γ\Gamma is a connected graph of genus g>1g>1, embedded in S3S^3. For each gg we give the maximum order mgm_g of such GG acting on (S3,Γ)(S^3, \Gamma) for all such ΓS3\Gamma\subset S^3. Indeed we will classify all graphs ΓS3\Gamma\subset S^3 which realize these mgm_g in different levels: as abstract graphs and as spatial graphs, as well as their group actions. Such maximum orders without the condition "orientation-preserving" are also addressed.Comment: 34 pages, to appear in Discrete Comput. Geo

    On the maximum order of graphs embedded in surfaces

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    The maximum number of vertices in a graph of maximum degree Δ3\Delta\ge 3 and fixed diameter k2k\ge 2 is upper bounded by (1+o(1))(Δ1)k(1+o(1))(\Delta-1)^{k}. If we restrict our graphs to certain classes, better upper bounds are known. For instance, for the class of trees there is an upper bound of (2+o(1))(Δ1)k/2(2+o(1))(\Delta-1)^{\lfloor k/2\rfloor} for a fixed kk. The main result of this paper is that graphs embedded in surfaces of bounded Euler genus gg behave like trees, in the sense that, for large Δ\Delta, such graphs have orders bounded from above by begin{cases} c(g+1)(\Delta-1)^{\lfloor k/2\rfloor} & \text{if $k$ is even} c(g^{3/2}+1)(\Delta-1)^{\lfloor k/2\rfloor} & \text{if $k$ is odd}, \{cases} where cc is an absolute constant. This result represents a qualitative improvement over all previous results, even for planar graphs of odd diameter kk. With respect to lower bounds, we construct graphs of Euler genus gg, odd diameter kk, and order c(g+1)(Δ1)k/2c(\sqrt{g}+1)(\Delta-1)^{\lfloor k/2\rfloor} for some absolute constant c>0c>0. Our results answer in the negative a question of Miller and \v{S}ir\'a\v{n} (2005).Comment: 13 pages, 3 figure

    Energy Complexity of Distance Computation in Multi-hop Networks

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    Energy efficiency is a critical issue for wireless devices operated under stringent power constraint (e.g., battery). Following prior works, we measure the energy cost of a device by its transceiver usage, and define the energy complexity of an algorithm as the maximum number of time slots a device transmits or listens, over all devices. In a recent paper of Chang et al. (PODC 2018), it was shown that broadcasting in a multi-hop network of unknown topology can be done in polylogn\text{poly} \log n energy. In this paper, we continue this line of research, and investigate the energy complexity of other fundamental graph problems in multi-hop networks. Our results are summarized as follows. 1. To avoid spending Ω(D)\Omega(D) energy, the broadcasting protocols of Chang et al. (PODC 2018) do not send the message along a BFS tree, and it is open whether BFS could be computed in o(D)o(D) energy, for sufficiently large DD. In this paper we devise an algorithm that attains O~(n)\tilde{O}(\sqrt{n}) energy cost. 2. We show that the framework of the Ω(n){\Omega}(n) round lower bound proof for computing diameter in CONGEST of Abboud et al. (DISC 2017) can be adapted to give an Ω~(n)\tilde{\Omega}(n) energy lower bound in the wireless network model (with no message size constraint), and this lower bound applies to O(logn)O(\log n)-arboricity graphs. From the upper bound side, we show that the energy complexity of O~(n)\tilde{O}(\sqrt{n}) can be attained for bounded-genus graphs (which includes planar graphs). 3. Our upper bounds for computing diameter can be extended to other graph problems. We show that exact global minimum cut or approximate ss--tt minimum cut can be computed in O~(n)\tilde{O}(\sqrt{n}) energy for bounded-genus graphs
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