2,380 research outputs found

    Strong geodetic problem on Cartesian products of graphs

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    The strong geodetic problem is a recent variation of the geodetic problem. For a graph GG, its strong geodetic number sg(G){\rm sg}(G) is the cardinality of a smallest vertex subset SS, such that each vertex of GG lies on a fixed shortest path between a pair of vertices from SS. In this paper, the strong geodetic problem is studied on the Cartesian product of graphs. A general upper bound for sg(Gā€‰ā–”ā€‰H){\rm sg}(G \,\square\, H) is determined, as well as exact values for Kmā€‰ā–”ā€‰KnK_m \,\square\, K_n, K1,kā€‰ā–”ā€‰PlK_{1, k} \,\square\, P_l, and certain prisms. Connections between the strong geodetic number of a graph and its subgraphs are also discussed.Comment: 18 pages, 9 figure

    Geodetic topological cycles in locally finite graphs

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    We prove that the topological cycle space C(G) of a locally finite graph G is generated by its geodetic topological circles. We further show that, although the finite cycles of G generate C(G), its finite geodetic cycles need not generate C(G).Comment: 1

    Computing Minimum Rainbow and Strong Rainbow Colorings of Block Graphs

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    A path in an edge-colored graph GG is rainbow if no two edges of it are colored the same. The graph GG is rainbow-connected if there is a rainbow path between every pair of vertices. If there is a rainbow shortest path between every pair of vertices, the graph GG is strongly rainbow-connected. The minimum number of colors needed to make GG rainbow-connected is known as the rainbow connection number of GG, and is denoted by rc(G)\text{rc}(G). Similarly, the minimum number of colors needed to make GG strongly rainbow-connected is known as the strong rainbow connection number of GG, and is denoted by src(G)\text{src}(G). We prove that for every kā‰„3k \geq 3, deciding whether src(G)ā‰¤k\text{src}(G) \leq k is NP-complete for split graphs, which form a subclass of chordal graphs. Furthermore, there exists no polynomial-time algorithm for approximating the strong rainbow connection number of an nn-vertex split graph with a factor of n1/2āˆ’Ļµn^{1/2-\epsilon} for any Ļµ>0\epsilon > 0 unless P = NP. We then turn our attention to block graphs, which also form a subclass of chordal graphs. We determine the strong rainbow connection number of block graphs, and show it can be computed in linear time. Finally, we provide a polynomial-time characterization of bridgeless block graphs with rainbow connection number at most 4.Comment: 13 pages, 3 figure

    Transit functions on graphs (and posets)

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    The notion of transit function is introduced to present a unifying approachfor results and ideas on intervals, convexities and betweenness in graphs andposets. Prime examples of such transit functions are the interval function I andthe induced path function J of a connected graph. Another transit function isthe all-paths function. New transit functions are introduced, such as the cutvertextransit function and the longest path function. The main idea of transitfunctions is that of Ć¢ā‚¬ĖœtransferringĆ¢ā‚¬ā„¢ problems and ideas of one transit functionto the other. For instance, a result on the interval function I might suggestsimilar problems for the induced path function J. Examples are given of howfruitful this transfer can be. A list of Prototype Problems and Questions forthis transferring process is given, which suggests many new questions and openproblems.graph theory;betweenness;block graph;convexity;distance in graphs;interval function;path function;induced path;paths and cycles;transit function;types of graphs
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