291 research outputs found

    Wiener Index and Remoteness in Triangulations and Quadrangulations

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    Let GG be a a connected graph. The Wiener index of a connected graph is the sum of the distances between all unordered pairs of vertices. We provide asymptotic formulae for the maximum Wiener index of simple triangulations and quadrangulations with given connectivity, as the order increases, and make conjectures for the extremal triangulations and quadrangulations based on computational evidence. If σ(v)\overline{\sigma}(v) denotes the arithmetic mean of the distances from vv to all other vertices of GG, then the remoteness of GG is defined as the largest value of σ(v)\overline{\sigma}(v) over all vertices vv of GG. We give sharp upper bounds on the remoteness of simple triangulations and quadrangulations of given order and connectivity

    Algorithmic aspects of disjunctive domination in graphs

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    For a graph G=(V,E)G=(V,E), a set DVD\subseteq V is called a \emph{disjunctive dominating set} of GG if for every vertex vVDv\in V\setminus D, vv is either adjacent to a vertex of DD or has at least two vertices in DD at distance 22 from it. The cardinality of a minimum disjunctive dominating set of GG is called the \emph{disjunctive domination number} of graph GG, and is denoted by γ2d(G)\gamma_{2}^{d}(G). The \textsc{Minimum Disjunctive Domination Problem} (MDDP) is to find a disjunctive dominating set of cardinality γ2d(G)\gamma_{2}^{d}(G). Given a positive integer kk and a graph GG, the \textsc{Disjunctive Domination Decision Problem} (DDDP) is to decide whether GG has a disjunctive dominating set of cardinality at most kk. In this article, we first propose a linear time algorithm for MDDP in proper interval graphs. Next we tighten the NP-completeness of DDDP by showing that it remains NP-complete even in chordal graphs. We also propose a (ln(Δ2+Δ+2)+1)(\ln(\Delta^{2}+\Delta+2)+1)-approximation algorithm for MDDP in general graphs and prove that MDDP can not be approximated within (1ϵ)ln(V)(1-\epsilon) \ln(|V|) for any ϵ>0\epsilon>0 unless NP \subseteq DTIME(VO(loglogV))(|V|^{O(\log \log |V|)}). Finally, we show that MDDP is APX-complete for bipartite graphs with maximum degree 33

    On the Wiener Index of Orientations of Graphs

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    The Wiener index of a strong digraph DD is defined as the sum of the distances between all ordered pairs of vertices. This definition has been extended to digraphs that are not necessarily strong by defining the distance from a vertex aa to a vertex bb as 00 if there is no path from aa to bb in DD. Knor, \u{S}krekovski and Tepeh [Some remarks on Wiener index of oriented graphs. Appl.\ Math.\ Comput.\ {\bf 273}] considered orientations of graphs with maximum Wiener index. The authors conjectured that for a given tree TT, an orientation DD of TT of maximum Wiener index always contains a vertex vv such that for every vertex uu, there is either a (u,v)(u,v)-path or a (v,u)(v,u)-path in DD. In this paper we disprove the conjecture. We also show that the problem of finding an orientation of maximum Wiener index of a given graph is NP-complete, thus answering a question by Knor, \u{S}krekovski and Tepeh [Orientations of graphs with maximum Wiener index. Discrete Appl.\ Math.\ 211]. We briefly discuss the corresponding problem of finding an orientation of minimum Wiener index of a given graph, and show that the special case of deciding if a given graph on mm edges has an orientation of Wiener index mm can be solved in time quadratic in nn

    Wiener index in graphs with given minimum degree and maximum degree

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    Let GG be a connected graph of order nn.The Wiener index W(G)W(G) of GG is the sum of the distances between all unordered pairs of vertices of GG. In this paper we show that the well-known upper bound (nδ+1+2)(n2)\big( \frac{n}{\delta+1}+2\big) {n \choose 2} on the Wiener index of a graph of order nn and minimum degree δ\delta [M. Kouider, P. Winkler, Mean distance and minimum degree. J. Graph Theory 25 no. 1 (1997)] can be improved significantly if the graph contains also a vertex of large degree. Specifically, we give the asymptotically sharp bound W(G)(nΔ+δ2)n+2Δδ+1+2n(n1)W(G) \leq {n-\Delta+\delta \choose 2} \frac{n+2\Delta}{\delta+1}+ 2n(n-1) on the Wiener index of a graph GG of order nn, minimum degree δ\delta and maximum degree Δ\Delta. We prove a similar result for triangle-free graphs, and we determine a bound on the Wiener index of C4C_4-free graphs of given order, minimum and maximum degree and show that it is, in some sense, best possible

    Proximity, remoteness and maximum degree in graphs

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    The average distance of a vertex vv of a connected graph GG is the arithmetic mean of the distances from vv to all other vertices of GG. The proximity π(G)\pi(G) and the remoteness ρ(G)\rho(G) of GG are the minimum and the maximum of the average distances of the vertices of GG, respectively. In this paper, we give upper bounds on the remoteness and proximity for graphs of given order, minimum degree and maximum degree. Our bounds are sharp apart from an additive constant.Comment: 20 page
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