16,247 research outputs found

    On the metric dimension and fractional metric dimension for hierarchical product of graphs

    Full text link
    A set of vertices WW {\em resolves} a graph GG if every vertex of GG is uniquely determined by its vector of distances to the vertices in WW. The {\em metric dimension} for GG, denoted by dim(G)\dim(G), is the minimum cardinality of a resolving set of GG. In order to study the metric dimension for the hierarchical product G2u2G1u1G_2^{u_2}\sqcap G_1^{u_1} of two rooted graphs G2u2G_2^{u_2} and G1u1G_1^{u_1}, we first introduce a new parameter, the {\em rooted metric dimension} \rdim(G_1^{u_1}) for a rooted graph G1u1G_1^{u_1}. If G1G_1 is not a path with an end-vertex u1u_1, we show that \dim(G_2^{u_2}\sqcap G_1^{u_1})=|V(G_2)|\cdot\rdim(G_1^{u_1}), where V(G2)|V(G_2)| is the order of G2G_2. If G1G_1 is a path with an end-vertex u1u_1, we obtain some tight inequalities for dim(G2u2G1u1)\dim(G_2^{u_2}\sqcap G_1^{u_1}). Finally, we show that similar results hold for the fractional metric dimension.Comment: 11 page

    Identifying codes in vertex-transitive graphs and strongly regular graphs

    Get PDF
    We consider the problem of computing identifying codes of graphs and its fractional relaxation. The ratio between the size of optimal integer and fractional solutions is between 1 and 2ln(vertical bar V vertical bar) + 1 where V is the set of vertices of the graph. We focus on vertex-transitive graphs for which we can compute the exact fractional solution. There are known examples of vertex-transitive graphs that reach both bounds. We exhibit infinite families of vertex-transitive graphs with integer and fractional identifying codes of order vertical bar V vertical bar(alpha) with alpha is an element of{1/4, 1/3, 2/5}These families are generalized quadrangles (strongly regular graphs based on finite geometries). They also provide examples for metric dimension of graphs

    Identifying codes in vertex-transitive graphs and strongly regular graphs

    Full text link
    We consider the problem of computing identifying codes of graphs and its fractional relaxation. The ratio between the size of optimal integer and fractional solutions is between 1 and 2 ln(|V|)+1 where V is the set of vertices of the graph. We focus on vertex-transitive graphs for which we can compute the exact fractional solution. There are known examples of vertex-transitive graphs that reach both bounds. We exhibit infinite families of vertex-transitive graphs with integer and fractional identifying codes of order |V|^a with a in {1/4,1/3,2/5}. These families are generalized quadrangles (strongly regular graphs based on finite geometries). They also provide examples for metric dimension of graphs

    The Einstein Relation on Metric Measure Spaces

    Full text link
    This note is based on F. Burghart's master thesis at Stuttgart university from July 2018, supervised by Prof. Freiberg. We review the Einstein relation, which connects the Hausdorff, local walk and spectral dimensions on a space, in the abstract setting of a metric measure space equipped with a suitable operator. This requires some twists compared to the usual definitions from fractal geometry. The main result establishes the invariance of the three involved notions of fractal dimension under bi-Lipschitz continuous isomorphisms between mm-spaces and explains, more generally, how the transport of the analytic and stochastic structure behind the Einstein relation works. While any homeomorphism suffices for this transport of structure, non-Lipschitz maps distort the Hausdorff and the local walk dimension in different ways. To illustrate this, we take a look at H\"older regular transformations and how they influence the local walk dimension and prove some partial results concerning the Einstein relation on graphs of fractional Brownian motions. We conclude by giving a short list of further questions that may help building a general theory of the Einstein relation.Comment: 28 pages, 3 figure

    Fractional Local Metric Dimension of Comb Product Graphs

    Get PDF
     يعرف الرسم البياني المتصل G مع قمة الرأس (V (G ومجموعة الحافة (E (G، (حي الحل المحلي)   لذرتين متجاورتين u، v بواسطة   دالة الحل المحلية fi لـ  G هي دالة ذات قيمة حقيقية  بحيث يكون   لكل رأسين متجاورين البُعد المتري المحلي الجزئي لـ  الرسم البياني G يشير إلى ، وهو معرّف بواسطة  وهي دالة حل محلية لـ G}. إحدى العمليات في الرسم البياني هي الرسوم البيانية لمنتج Comb. الرسوم البيانية لمنتج Comb لـ G و  H يشار إليه  بواسطة  الهدف من هذا البحث هو تحديد البعد المتري المحلي الجزئي لـ  ، وذلك  لان  الرسم البياني G هو رسم بياني متصل والرسم البياني H هو رسم بياني كامل   نحصل  من   علىThe local resolving neighborhood  of a pair of vertices  for  and  is if there is a vertex  in a connected graph  where the distance from  to  is not equal to the distance from  to , or defined by . A local resolving function  of  is a real valued function   such that  for  and . The local fractional metric dimension of graph  denoted by , defined by  In this research, the author discusses about the local fractional metric dimension of comb product are two graphs, namely graph  and graph , where graph  is a connected graphs and graph  is a complate graph  and denoted by  We ge

    The metric dimension and metric independence of a graph

    Get PDF
    A vertex x of a graph G resolves two vertices u and v of G if the distance from x to u does not equal the distance from x to v. A set S of vertices of G is a resolving set for G if every two distinct vertices of G are resolved by some vertex of S. The minimum cardinality of a resolving set for G is called the metric dimension of G. The problem of nding the metric dimension of a graph is formulated as an integer pro- gramming problem. It is shown how a relaxation of this problem leads to a linear programming problem and hence to a fractional version of the metric dimension of a graph. The linear programming dual of this problem is considered and the solution to the corresponding integer programming problem is called the metric independence of the graph. It is shown that the problem of deciding whether, for a given graph G, the metric dimension of G equals its metric independence is NP- complete. Trees with equal metric dimension and metric independence are characterized. The metric independence number is established for various classes of graphs.Preprin
    corecore