5,813 research outputs found

    Spanning trees short or small

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    We study the problem of finding small trees. Classical network design problems are considered with the additional constraint that only a specified number kk of nodes are required to be connected in the solution. A prototypical example is the kkMST problem in which we require a tree of minimum weight spanning at least kk nodes in an edge-weighted graph. We show that the kkMST problem is NP-hard even for points in the Euclidean plane. We provide approximation algorithms with performance ratio 2k2\sqrt{k} for the general edge-weighted case and O(k1/4)O(k^{1/4}) for the case of points in the plane. Polynomial-time exact solutions are also presented for the class of decomposable graphs which includes trees, series-parallel graphs, and bounded bandwidth graphs, and for points on the boundary of a convex region in the Euclidean plane. We also investigate the problem of finding short trees, and more generally, that of finding networks with minimum diameter. A simple technique is used to provide a polynomial-time solution for finding kk-trees of minimum diameter. We identify easy and hard problems arising in finding short networks using a framework due to T. C. Hu.Comment: 27 page

    The Steiner diameter of a graph

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    The Steiner distance of a graph, introduced by Chartrand, Oellermann, Tian and Zou in 1989, is a natural generalization of the concept of classical graph distance. For a connected graph GG of order at least 22 and SV(G)S\subseteq V(G), the \emph{Steiner distance} d(S)d(S) among the vertices of SS is the minimum size among all connected subgraphs whose vertex sets contain SS. Let n,kn,k be two integers with 2kn2\leq k\leq n. Then the \emph{Steiner kk-eccentricity ek(v)e_k(v)} of a vertex vv of GG is defined by ek(v)=max{d(S)SV(G), S=k, and vS}e_k(v)=\max \{d(S)\,|\,S\subseteq V(G), \ |S|=k, \ and \ v\in S \}. Furthermore, the \emph{Steiner kk-diameter} of GG is sdiamk(G)=max{ek(v)vV(G)}sdiam_k(G)=\max \{e_k(v)\,|\, v\in V(G)\}. In 2011, Chartrand, Okamoto and Zhang showed that k1sdiamk(G)n1k-1\leq sdiam_k(G)\leq n-1. In this paper, graphs with sdiam3(G)=2,3,n1sdiam_3(G)=2,3,n-1 are characterized, respectively. We also consider the Nordhaus-Gaddum-type results for the parameter sdiamk(G)sdiam_k(G). We determine sharp upper and lower bounds of sdiamk(G)+sdiamk(G)sdiam_k(G)+sdiam_k(\overline{G}) and sdiamk(G)sdiamk(G)sdiam_k(G)\cdot sdiam_k(\overline{G}) for a graph GG of order nn. Some graph classes attaining these bounds are also given.Comment: 14 page

    Total monochromatic connection of graphs

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    A graph is said to be {\it total-colored} if all the edges and the vertices of the graph are colored. A path in a total-colored graph is a {\it total monochromatic path} if all the edges and internal vertices on the path have the same color. A total-coloring of a graph is a {\it total monochromatically-connecting coloring} ({\it TMC-coloring}, for short) if any two vertices of the graph are connected by a total monochromatic path of the graph. For a connected graph GG, the {\it total monochromatic connection number}, denoted by tmc(G)tmc(G), is defined as the maximum number of colors used in a TMC-coloring of GG. These concepts are inspired by the concepts of monochromatic connection number mc(G)mc(G), monochromatic vertex connection number mvc(G)mvc(G) and total rainbow connection number trc(G)trc(G) of a connected graph GG. Let l(T)l(T) denote the number of leaves of a tree TT, and let l(G)=max{l(T)l(G)=\max\{ l(T) | TT is a spanning tree of GG }\} for a connected graph GG. In this paper, we show that there are many graphs GG such that tmc(G)=mn+2+l(G)tmc(G)=m-n+2+l(G), and moreover, we prove that for almost all graphs GG, tmc(G)=mn+2+l(G)tmc(G)=m-n+2+l(G) holds. Furthermore, we compare tmc(G)tmc(G) with mvc(G)mvc(G) and mc(G)mc(G), respectively, and obtain that there exist graphs GG such that tmc(G)tmc(G) is not less than mvc(G)mvc(G) and vice versa, and that tmc(G)=mc(G)+l(G)tmc(G)=mc(G)+l(G) holds for almost all graphs. Finally, we prove that tmc(G)mc(G)+mvc(G)tmc(G)\leq mc(G)+mvc(G), and the equality holds if and only if GG is a complete graph.Comment: 12 page

    Characterizing 22-Distance Graphs and Solving the Equations T2(X)=kP2T_2(X)=kP_2 or KmKnK_m \cup K_n

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    Let XX be a finite, simple graph with vertex set V(X)V(X). The 22-distance graph T2(X)T_2(X) of XX is the graph with the same vertex set as XX and two vertices are adjacent if and only if their distance in XX is exactly 22. A graph GG is a 22-distance graph if there exists a graph XX such that T2(X)=GT_2(X)=G. In this paper, we give three characterizations of 22-distance graphs, and find all graphs XX such that T2(X)=kP2T_2(X)=kP_2 or KmKnK_m \cup K_n, where k2k \ge 2 is an integer, P2P_2 is the path of order 22, and KmK_m is the complete graph of order m1m \ge 1

    Proper connection numbers of complementary graphs

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    A path PP in an edge-colored graph GG is called a proper path if no two adjacent edges of PP are colored the same, and GG is proper connected if every two vertices of GG are connected by a proper path in GG. The proper connection number of a connected graph GG, denoted by pc(G)pc(G), is the minimum number of colors that are needed to make GG proper connected. In this paper, we investigate the proper connection number of the complement of graph GG according to some constraints of GG itself. Also, we characterize the graphs on nn vertices that have proper connection number n2n-2. Using this result, we give a Nordhaus-Gaddum-type theorem for the proper connection number. We prove that if GG and G\overline{G} are both connected, then 4pc(G)+pc(G)n4\le pc(G)+pc(\overline{G})\le n, and the only graph attaining the upper bound is the tree with maximum degree Δ=n2\Delta=n-2.Comment: 12 page

    Nearly Tight Low Stretch Spanning Trees

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    We prove that any graph GG with nn points has a distribution T\mathcal{T} over spanning trees such that for any edge (u,v)(u,v) the expected stretch ETT[dT(u,v)/dG(u,v)]E_{T \sim \mathcal{T}}[d_T(u,v)/d_G(u,v)] is bounded by O~(logn)\tilde{O}(\log n). Our result is obtained via a new approach of building ``highways'' between portals and a new strong diameter probabilistic decomposition theorem

    Tight Nordhaus-Gaddum-type upper bound for total-rainbow connection number of graphs

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    A graph is said to be \emph{total-colored} if all the edges and the vertices of the graph are colored. A total-colored graph is \emph{total-rainbow connected} if any two vertices of the graph are connected by a path whose edges and internal vertices have distinct colors. For a connected graph GG, the \emph{total-rainbow connection number} of GG, denoted by trc(G)trc(G), is the minimum number of colors required in a total-coloring of GG to make GG total-rainbow connected. In this paper, we first characterize the graphs having large total-rainbow connection numbers. Based on this, we obtain a Nordhaus-Gaddum-type upper bound for the total-rainbow connection number. We prove that if GG and G\overline{G} are connected complementary graphs on nn vertices, then trc(G)+trc(G)2ntrc(G)+trc(\overline{G})\leq 2n when n6n\geq 6 and trc(G)+trc(G)2n+1trc(G)+trc(\overline{G})\leq 2n+1 when n=5n=5. Examples are given to show that the upper bounds are sharp for n5n\geq 5. This completely solves a conjecture in [Y. Ma, Total rainbow connection number and complementary graph, Results in Mathematics 70(1-2)(2016), 173-182].Comment: 20 page

    Edge Coloring with Minimum Reload/Changeover Costs

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    In an edge-colored graph, a traversal cost occurs at a vertex along a path when consecutive edges with different colors are traversed. The value of the traversal cost depends only on the colors of the traversed edges. This concept leads to two global cost measures, namely the \emph{reload cost} and the \emph{changeover cost}, that have been studied in the literature and have various applications in telecommunications, transportation networks, and energy distribution networks. Previous work focused on problems with an edge-colored graph being part of the input. In this paper, we formulate and focus on two pairs of problems that aim to find an edge coloring of a graph so as to minimize the reload and changeover costs. The first pair of problems aims to find a proper edge coloring so that the reload/changeover cost of a set of paths is minimized. The second pair of problems aim to find a proper edge coloring and a spanning tree so that the reload/changeover cost is minimized. We present several hardness results as well as polynomial-time solvable special cases

    Lower bounds for algebraic connectivity of graphs in terms of matching number or edge covering number

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    In this paper we characterize the unique graph whose algebraic connectivity is minimum among all connected graphs with given order and fixed matching number or edge covering number, and present two lower bounds for the algebraic connectivity in terms of the matching number or edge covering number.Comment: arXiv admin note: substantial text overlap with arXiv:1310.853

    Distance proper connection of graphs

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    Let GG be an edge-colored connected graph. A path PP in GG is called a distance \ell-proper path if no two edges of the same color appear with fewer than \ell edges in between on PP. The graph GG is called (k,)(k,\ell)-proper connected if every pair of distinct vertices of GG are connected by kk pairwise internally vertex-disjoint distance \ell-proper paths in GG. For a kk-connected graph GG, the minimum number of colors needed to make GG (k,)(k,\ell)-proper connected is called the (k,)(k,\ell)-proper connection number of GG and denoted by pck,(G)pc_{k,\ell}(G). In this paper, we prove that pc1,2(G)5pc_{1,2}(G)\leq 5 for any 22-connected graph GG. Considering graph operations, we find that 33 is a sharp upper bound for the (1,2)(1,2)-proper connection number of the join and the Cartesian product of almost all graphs. In addition, we find some basic properties of the (k,)(k,\ell)-proper connection number and determine the values of pc1,(G)pc_{1,\ell}(G) where GG is a traceable graph, a tree, a complete bipartite graph, a complete multipartite graph, a wheel, a cube or a permutation graph of a nontrivial traceable graph.Comment: 18 page
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