10 research outputs found

    On the existence of edge cuts leaving several large components

    Get PDF
    We characterize graphs of large enough order or large enough minimum degree which contain edge cuts whose deletion results in a graph with a specified number of large components. This generalizes and extends recent results due to Ou (Edge cuts leaving components of order at least m, Discrete Math. 305 (2005), 365-371) and Zhang and Yuan (A proof of an inequality concerning k-restricted edge connectivity, Discrete Math. 304 (2005), 128-134)

    On the complexity of computing the kk-restricted edge-connectivity of a graph

    Full text link
    The \emph{kk-restricted edge-connectivity} of a graph GG, denoted by λk(G)\lambda_k(G), is defined as the minimum size of an edge set whose removal leaves exactly two connected components each containing at least kk vertices. This graph invariant, which can be seen as a generalization of a minimum edge-cut, has been extensively studied from a combinatorial point of view. However, very little is known about the complexity of computing λk(G)\lambda_k(G). Very recently, in the parameterized complexity community the notion of \emph{good edge separation} of a graph has been defined, which happens to be essentially the same as the kk-restricted edge-connectivity. Motivated by the relevance of this invariant from both combinatorial and algorithmic points of view, in this article we initiate a systematic study of its computational complexity, with special emphasis on its parameterized complexity for several choices of the parameters. We provide a number of NP-hardness and W[1]-hardness results, as well as FPT-algorithms.Comment: 16 pages, 4 figure

    Minimally 3-restricted edge connected graphs

    Get PDF
    AbstractFor a connected graph G=(V,E), an edge set S⊂E is a 3-restricted edge cut if G−S is disconnected and every component of G−S has order at least three. The cardinality of a minimum 3-restricted edge cut of G is the 3-restricted edge connectivity of G, denoted by λ3(G). A graph G is called minimally 3-restricted edge connected if λ3(G−e)<λ3(G) for each edge e∈E. A graph G is λ3-optimal if λ3(G)=ξ3(G), where ξ3(G)=max{ω(U):U⊂V(G),G[U] is connected,|U|=3}, ω(U) is the number of edges between U and V∖U, and G[U] is the subgraph of G induced by vertex set U. We show in this paper that a minimally 3-restricted edge connected graph is always λ3-optimal except the 3-cube

    On the k-restricted edge-connectivity of matched sum graphs

    Get PDF
    A matched sum graph G1G_1MG2G_2 of two graphs G1G_1 and G2G_2 of the same order n is obtained by adding to the union (or sum) of G1G_1 and G2G_2 a set M of n independent edges which join vertices in V (G1G_1) to vertices in V (G2G_2). When G1G_1 and G2G_2 are isomorphic, G1G_1MG2G_2 is just a permutation graph. In this work we derive bounds for the k-restricted edge connectivity λ(k) of matched sum graphs G1G_1MG2G_2 for 2 ≤ k ≤ 5, and present some sufficient conditions for the optimality of λ(k)(G1G_1MG2G_2).Peer Reviewe

    Sufficient conditions for super k-restricted edge connectivity in graphs of diameter 2

    Get PDF
    AbstractFor a connected graph G=(V,E), an edge set S⊆E is a k-restricted edge cut if G−S is disconnected and every component of G−S has at least k vertices. The k-restricted edge connectivity of G, denoted by λk(G), is defined as the cardinality of a minimum k-restricted edge cut. Let ξk(G)=min{|[X,X¯]|:|X|=k,G[X]is connected}. G is λk-optimal if λk(G)=ξk(G). Moreover, G is super-λk if every minimum k-restricted edge cut of G isolates one connected subgraph of order k. In this paper, we prove that if |NG(u)∩NG(v)|≥2k−1 for all pairs u, v of nonadjacent vertices, then G is λk-optimal; and if |NG(u)∩NG(v)|≥2k for all pairs u, v of nonadjacent vertices, then G is either super-λk or in a special class of graphs. In addition, for k-isoperimetric edge connectivity, which is closely related with the concept of k-restricted edge connectivity, we show similar results

    Further topics in connectivity

    Get PDF
    Continuing the study of connectivity, initiated in §4.1 of the Handbook, we survey here some (sufficient) conditions under which a graph or digraph has a given connectivity or edge-connectivity. First, we describe results concerning maximal (vertex- or edge-) connectivity. Next, we deal with conditions for having (usually lower) bounds for the connectivity parameters. Finally, some other general connectivity measures, such as one instance of the so-called “conditional connectivity,” are considered. For unexplained terminology concerning connectivity, see §4.1.Peer ReviewedPostprint (published version

    Proceedings of the 3rd International Workshop on Optimal Networks Topologies IWONT 2010

    Get PDF
    Peer Reviewe
    corecore