420 research outputs found

    On the strong metric dimension of Cartesian sum graphs

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    A vertex ww of a connected graph GG strongly resolves two vertices u,vV(G)u,v\in V(G), if there exists some shortest uwu-w path containing vv or some shortest vwv-w path containing uu. A set SS of vertices is a strong metric generator for GG if every pair of vertices of GG is strongly resolved by some vertex of SS. The smallest cardinality of a strong metric generator for GG is called the strong metric dimension of GG. In this paper we obtain several tight bounds or closed formulae for the strong metric dimension of the Cartesian sum of graphs in terms of the strong metric dimension, clique number or twins-free clique number of its factor graphs.Comment: arXiv admin note: text overlap with arXiv:1402.266

    Computing the metric dimension of a graph from primary subgraphs

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    Let GG be a connected graph. Given an ordered set W={w1,w2,wk}V(G)W = \{w_1, w_2,\dots w_k\}\subseteq V(G) and a vertex uV(G)u\in V(G), the representation of uu with respect to WW is the ordered kk-tuple (d(u,w1),d(u,w2),,(d(u,w_1), d(u,w_2),\dots, d(u,wk))d(u,w_k)), where d(u,wi)d(u,w_i) denotes the distance between uu and wiw_i. The set WW is a metric generator for GG if every two different vertices of GG have distinct representations. A minimum cardinality metric generator is called a \emph{metric basis} of GG and its cardinality is called the \emph{metric dimension} of G. It is well known that the problem of finding the metric dimension of a graph is NP-Hard. In this paper we obtain closed formulae for the metric dimension of graphs with cut vertices. The main results are applied to specific constructions including rooted product graphs, corona product graphs, block graphs and chains of graphs.Comment: 18 page

    Simultaneous Resolvability in Families of Corona Product Graphs

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    Let G{\cal G} be a graph family defined on a common vertex set VV and let dd be a distance defined on every graph GGG\in {\cal G}. A set SVS\subset V is said to be a simultaneous metric generator for G{\cal G} if for every GGG\in {\cal G} and every pair of different vertices u,vVu,v\in V there exists sSs\in S such that d(s,u)d(s,v)d(s,u)\ne d(s,v). The simultaneous metric dimension of G{\cal G} is the smallest integer kk such that there is a simultaneous metric generator for G{\cal G} of cardinality kk. We study the simultaneous metric dimension of families composed by corona product graphs. Specifically, we focus on the case of two particular distances defined on every GGG\in {\cal G}, namely, the geodesic distance dGd_G and the distance dG,2:V×VN{0}d_{G,2}:V\times V\rightarrow \mathbb{N}\cup \{0\} defined as dG,2(x,y)=min{dG(x,y),2}d_{G,2}(x,y)=\min\{d_{G}(x,y),2\}.Comment: arXiv admin note: substantial text overlap with arXiv:1504.0049

    The local metric dimension of the lexicographic product of graphs

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    The metric dimension is quite a well-studied graph parameter. Recently, the adjacency dimension and the local metric dimension have been introduced and studied. In this paper, we give a general formula for the local metric dimension of the lexicographic product GHG \circ \mathcal{H} of a connected graph GG of order nn and a family H\mathcal{H} composed by nn graphs. We show that the local metric dimension of GHG \circ \mathcal{H} can be expressed in terms of the true twin equivalence classes of GG and the local adjacency dimension of the graphs in H\mathcal{H}

    On the adjacency dimension of graphs

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    A generator of a metric space is a set SS of points in the space with the property that every point of the space is uniquely determined by its distances from the elements of SS. Given a simple graph G=(V,E)G=(V,E), we define the distance function dG,2:V×VN{0}d_{G,2}:V\times V\rightarrow \mathbb{N}\cup \{0\}, as dG,2(x,y)=min{dG(x,y),2},d_{G,2}(x,y)=\min\{d_G(x,y),2\}, where dG(x,y)d_G(x,y) is the length of a shortest path between xx and yy and N\mathbb{N} is the set of positive integers. Then (V,dG,2)(V,d_{G,2 }) is a metric space. We say that a set SVS\subseteq V is a kk-adjacency generator for GG if for every two vertices x,yVx,y\in V, there exist at least kk vertices w1,w2,...,wkSw_1,w_2,...,w_k\in S such that d_{G,2}(x,w_i)\ne d_{G,2}(y,w_i),\; \mbox{for every}\; i\in \{1,...,k\}. A minimum cardinality kk-adjacency generator is called a kk-adjacency basis of GG and its cardinality, the kk-adjacency dimension of GG. In this article we study the problem of finding the kk-adjacency dimension of a graph. We give some necessary and sufficient conditions for the existence of a kk-adjacency basis of an arbitrary graph GG and we obtain general results on the kk-adjacency dimension, including general bounds and closed formulae for some families of graphs. In particular, we obtain closed formulae for the kk-adjacency dimension of join graphs G+HG+H in terms of the kk-adjacency dimension of GG and HH. These results concern the kk-metric dimension, as join graphs have diameter two. As we can expect, the obtained results will become important tools for the study of the kk-metric dimension of lexicographic product graphs and corona product graphs

    The kk-metric dimension of corona product graphs

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    Given a connected simple graph G=(V,E)G=(V,E), and a positive integer kk, a set SVS\subseteq V is said to be a kk-metric generator for GG if and only if for any pair of different vertices u,vVu,v\in V, there exist at least kk vertices w1,w2,...,wkSw_1,w_2,...,w_k\in S such that dG(u,wi)dG(v,wi)d_G(u,w_i)\ne d_G(v,w_i), for every i{1,...,k}i\in \{1,...,k\}, where dG(x,y)d_G(x,y) is the length of a shortest path between xx and yy. A kk-metric generator of minimum cardinality in GG is called a kk-metric basis and its cardinality, the kk-metric dimension of GG. In this article we study the kk-metric dimension of corona product graphs GHG\odot\mathcal{H}, where GG is a graph of order nn and H\mathcal{H} is a family of nn non-trivial graphs. Specifically, we give some necessary and sufficient conditions for the existence of a kk-metric basis in a connected corona graph. Moreover, we obtain tight bounds and closed formulae for the kk-metric dimension of connected corona graphs.Comment: 22 page

    The k-metric dimension of graphs: a general approach

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    Let (X,d)(X,d) be a metric space. A set SXS\subseteq X is said to be a kk-metric generator for XX if and only if for any pair of different points u,vXu,v\in X, there exist at least kk points w1,w2,wkSw_1,w_2, \ldots w_k\in S such that d(u,w_i)\ne d(v,w_i),\; \mbox{\rm for all}\; i\in \{1, \ldots k\}. Let Rk(X)\mathcal{R}_k(X) be the set of metric generators for XX. The kk-metric dimension dimk(X)\dim_k(X) of (X,d)(X,d) is defined as dimk(X)=inf{S:SRk(X)}.\dim_k(X)=\inf\{|S|:\, S\in \mathcal{R}_k(X)\}. Here, we discuss the kk-metric dimension of (V,dt)(V,d_t), where VV is the set of vertices of a simple graph GG and the metric dt:V×VN{0}d_t:V\times V\rightarrow \mathbb{N}\cup \{0\} is defined by dt(x,y)=min{d(x,y),t}d_t(x,y)=\min\{d(x,y),t\} from the geodesic distance dd in GG and a positive integer tt. The case tD(G)t\ge D(G), where D(G)D(G) denotes the diameter of GG, corresponds to the original theory of kk-metric dimension and the case t=2t=2 corresponds to the theory of kk-adjacency dimension. Furthermore, this approach allows us to extend the theory of kk-metric dimension to the general case of non-necessarily connected graphs

    The kk-metric dimension of the lexicographic product of graphs

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    Given a simple and connected graph G=(V,E)G=(V,E), and a positive integer kk, a set SVS\subseteq V is said to be a kk-metric generator for GG, if for any pair of different vertices u,vVu,v\in V, there exist at least kk vertices w1,w2,,wkSw_1,w_2,\ldots,w_k\in S such that dG(u,wi)dG(v,wi)d_G(u,w_i)\ne d_G(v,w_i), for every i{1,,k}i\in \{1,\ldots,k\}, where dG(x,y)d_G(x,y) denotes the distance between xx and yy. The minimum cardinality of a kk-metric generator is the kk-metric dimension of GG. A set SVS\subseteq V is a kk-adjacency generator for GG if any two different vertices x,yV(G)x,y\in V(G) satisfy ((NG(x)NG(y)){x,y})Sk|((N_G(x)\triangledown N_G(y))\cup\{x,y\})\cap S|\ge k, where NG(x)NG(y)N_G(x)\triangledown N_G(y) is the symmetric difference of the neighborhoods of xx and yy. The minimum cardinality of any kk-adjacency generator is the kk-adjacency dimension of GG. In this article we obtain tight bounds and closed formulae for the kk-metric dimension of the lexicographic product of graphs in terms of the kk-adjacency dimension of the factor graphs.Comment: 19 page

    The strong metric dimension of some generalized Petersen graphs

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    In this paper the strong metric dimension of generalized Petersen graphs GP(n,2)GP(n,2) is considered. The exact value is determined for cases n=4kn=4k and n=4k+2n=4k+2, while for n=4k+1n=4k+1 an upper bound of the strong metric dimension is presented

    The Simultaneous Metric Dimension of Families Composed by Lexicographic Product Graphs

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    Let G{\mathcal G} be a graph family defined on a common (labeled) vertex set VV. A set SVS\subseteq V is said to be a simultaneous metric generator for G{\cal G} if for every GGG\in {\cal G} and every pair of different vertices u,vVu,v\in V there exists sSs\in S such that dG(s,u)dG(s,v)d_{G}(s,u)\ne d_{G}(s,v), where dGd_{G} denotes the geodesic distance. A simultaneous adjacency generator for G{\cal G} is a simultaneous metric generator under the metric dG,2(x,y)=min{dG(x,y),2}d_{G,2}(x,y)=\min\{d_{G}(x,y),2\}. A minimum cardinality simultaneous metric (adjacency) generator for G{\cal G} is a simultaneous metric (adjacency) basis, and its cardinality the simultaneous metric (adjacency) dimension of G{\cal G}. Based on the simultaneous adjacency dimension, we study the simultaneous metric dimension of families composed by lexicographic product graphs
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