1,250 research outputs found

    Bounds for identifying codes in terms of degree parameters

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    An identifying code is a subset of vertices of a graph such that each vertex is uniquely determined by its neighbourhood within the identifying code. If \M(G) denotes the minimum size of an identifying code of a graph GG, it was conjectured by F. Foucaud, R. Klasing, A. Kosowski and A. Raspaud that there exists a constant cc such that if a connected graph GG with nn vertices and maximum degree dd admits an identifying code, then \M(G)\leq n-\tfrac{n}{d}+c. We use probabilistic tools to show that for any d3d\geq 3, \M(G)\leq n-\tfrac{n}{\Theta(d)} holds for a large class of graphs containing, among others, all regular graphs and all graphs of bounded clique number. This settles the conjecture (up to constants) for these classes of graphs. In the general case, we prove \M(G)\leq n-\tfrac{n}{\Theta(d^{3})}. In a second part, we prove that in any graph GG of minimum degree δ\delta and girth at least 5, \M(G)\leq(1+o_\delta(1))\tfrac{3\log\delta}{2\delta}n. Using the former result, we give sharp estimates for the size of the minimum identifying code of random dd-regular graphs, which is about logddn\tfrac{\log d}{d}n

    Locating-total dominating sets in twin-free graphs: a conjecture

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    A total dominating set of a graph GG is a set DD of vertices of GG such that every vertex of GG has a neighbor in DD. A locating-total dominating set of GG is a total dominating set DD of GG with the additional property that every two distinct vertices outside DD have distinct neighbors in DD; that is, for distinct vertices uu and vv outside DD, N(u)DN(v)DN(u) \cap D \ne N(v) \cap D where N(u)N(u) denotes the open neighborhood of uu. A graph is twin-free if every two distinct vertices have distinct open and closed neighborhoods. The location-total domination number of GG, denoted LT(G)LT(G), is the minimum cardinality of a locating-total dominating set in GG. It is well-known that every connected graph of order n3n \geq 3 has a total dominating set of size at most 23n\frac{2}{3}n. We conjecture that if GG is a twin-free graph of order nn with no isolated vertex, then LT(G)23nLT(G) \leq \frac{2}{3}n. We prove the conjecture for graphs without 44-cycles as a subgraph. We also prove that if GG is a twin-free graph of order nn, then LT(G)34nLT(G) \le \frac{3}{4}n.Comment: 18 pages, 1 figur

    Parameterized and approximation complexity of the detection pair problem in graphs

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    We study the complexity of the problem DETECTION PAIR. A detection pair of a graph GG is a pair (W,L)(W,L) of sets of detectors with WV(G)W\subseteq V(G), the watchers, and LV(G)L\subseteq V(G), the listeners, such that for every pair u,vu,v of vertices that are not dominated by a watcher of WW, there is a listener of LL whose distances to uu and to vv are different. The goal is to minimize W+L|W|+|L|. This problem generalizes the two classic problems DOMINATING SET and METRIC DIMENSION, that correspond to the restrictions L=L=\emptyset and W=W=\emptyset, respectively. DETECTION PAIR was recently introduced by Finbow, Hartnell and Young [A. S. Finbow, B. L. Hartnell and J. R. Young. The complexity of monitoring a network with both watchers and listeners. Manuscript, 2015], who proved it to be NP-complete on trees, a surprising result given that both DOMINATING SET and METRIC DIMENSION are known to be linear-time solvable on trees. It follows from an existing reduction by Hartung and Nichterlein for METRIC DIMENSION that even on bipartite subcubic graphs of arbitrarily large girth, DETECTION PAIR is NP-hard to approximate within a sub-logarithmic factor and W[2]-hard (when parameterized by solution size). We show, using a reduction to SET COVER, that DETECTION PAIR is approximable within a factor logarithmic in the number of vertices of the input graph. Our two main results are a linear-time 22-approximation algorithm and an FPT algorithm for DETECTION PAIR on trees.Comment: 13 page

    Location-domination in line graphs

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    A set DD of vertices of a graph GG is locating if every two distinct vertices outside DD have distinct neighbors in DD; that is, for distinct vertices uu and vv outside DD, N(u)DN(v)DN(u) \cap D \neq N(v) \cap D, where N(u)N(u) denotes the open neighborhood of uu. If DD is also a dominating set (total dominating set), it is called a locating-dominating set (respectively, locating-total dominating set) of GG. A graph GG is twin-free if every two distinct vertices of GG have distinct open and closed neighborhoods. It is conjectured [D. Garijo, A. Gonzalez and A. Marquez, The difference between the metric dimension and the determining number of a graph. Applied Mathematics and Computation 249 (2014), 487--501] and [F. Foucaud and M. A. Henning. Locating-total dominating sets in twin-free graphs: a conjecture. The Electronic Journal of Combinatorics 23 (2016), P3.9] respectively, that any twin-free graph GG without isolated vertices has a locating-dominating set of size at most one-half its order and a locating-total dominating set of size at most two-thirds its order. In this paper, we prove these two conjectures for the class of line graphs. Both bounds are tight for this class, in the sense that there are infinitely many connected line graphs for which equality holds in the bounds.Comment: 23 pages, 2 figure

    Locating-dominating sets and identifying codes in graphs of girth at least 5

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    Locating-dominating sets and identifying codes are two closely related notions in the area of separating systems. Roughly speaking, they consist in a dominating set of a graph such that every vertex is uniquely identified by its neighbourhood within the dominating set. In this paper, we study the size of a smallest locating-dominating set or identifying code for graphs of girth at least 5 and of given minimum degree. We use the technique of vertex-disjoint paths to provide upper bounds on the minimum size of such sets, and construct graphs who come close to meet these bounds.Comment: 20 pages, 9 figure

    Random subgraphs make identification affordable

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    An identifying code of a graph is a dominating set which uniquely determines all the vertices by their neighborhood within the code. Whereas graphs with large minimum degree have small domination number, this is not the case for the identifying code number (the size of a smallest identifying code), which indeed is not even a monotone parameter with respect to graph inclusion. We show that every graph GG with nn vertices, maximum degree Δ=ω(1)\Delta=\omega(1) and minimum degree δclogΔ\delta\geq c\log{\Delta}, for some constant c>0c>0, contains a large spanning subgraph which admits an identifying code with size O(nlogΔδ)O\left(\frac{n\log{\Delta}}{\delta}\right). In particular, if δ=Θ(n)\delta=\Theta(n), then GG has a dense spanning subgraph with identifying code O(logn)O\left(\log n\right), namely, of asymptotically optimal size. The subgraph we build is created using a probabilistic approach, and we use an interplay of various random methods to analyze it. Moreover we show that the result is essentially best possible, both in terms of the number of deleted edges and the size of the identifying code

    Harmonic response of the organ of corti: results for wave dispersion

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    Inner ear is a remarkable multiphysical system and its modelling is a great challenge. The approach used in this paper aims to reproduce physic with a realistic description of the radial cross section of the cochlea. A 2D‐section of the organ of Corti is fully described. Wavenumbers and corresponding modes of propagation are calculated taking into account passive structural responses. The study is extended to six cross sections of the organ of Corti and a large frequency bandwidth from 100 Hz to 3 kHz. Dispersion curves reveal the influence of fluid structure interactions with a dispersive behavior at high frequencies. Longitudinal mechanical coupling provides new interacting modes of propagation

    Centroidal bases in graphs

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    We introduce the notion of a centroidal locating set of a graph GG, that is, a set LL of vertices such that all vertices in GG are uniquely determined by their relative distances to the vertices of LL. A centroidal locating set of GG of minimum size is called a centroidal basis, and its size is the centroidal dimension CD(G)CD(G). This notion, which is related to previous concepts, gives a new way of identifying the vertices of a graph. The centroidal dimension of a graph GG is lower- and upper-bounded by the metric dimension and twice the location-domination number of GG, respectively. The latter two parameters are standard and well-studied notions in the field of graph identification. We show that for any graph GG with nn vertices and maximum degree at least~2, (1+o(1))lnnlnlnnCD(G)n1(1+o(1))\frac{\ln n}{\ln\ln n}\leq CD(G) \leq n-1. We discuss the tightness of these bounds and in particular, we characterize the set of graphs reaching the upper bound. We then show that for graphs in which every pair of vertices is connected via a bounded number of paths, CD(G)=Ω(E(G))CD(G)=\Omega\left(\sqrt{|E(G)|}\right), the bound being tight for paths and cycles. We finally investigate the computational complexity of determining CD(G)CD(G) for an input graph GG, showing that the problem is hard and cannot even be approximated efficiently up to a factor of o(logn)o(\log n). We also give an O(nlnn)O\left(\sqrt{n\ln n}\right)-approximation algorithm

    Breaking down the link between luminous and dark matter in massive galaxies

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    We present a study on the clustering of a stellar mass selected sample of galaxies with stellar masses M*>10^10Msol at redshifts 0.4<z<2.0, taken from the Palomar Observatory Wide-field Infrared Survey. We examine the clustering properties of these stellar mass selected samples as a function of redshift and stellar mass, and find that galaxies with high stellar masses have a progressively higher clustering strength than galaxies with lower stellar masses. We also find that galaxies within a fixed stellar mass range have a higher clustering strength at higher redshifts. We further estimate the average total masses of the dark matter haloes hosting these stellar-mass selected galaxies. For all galaxies in our sample the stellar-mass-to-total-mass ratio is always lower than the universal baryonic mass fraction and the stellar-mass-to-total-mass ratio is strongly correlated with the halo masses for central galaxies, such that more massive haloes contain a lower fraction of their mass in the form of stars. The remaining baryonic mass is included partially in stars within satellite galaxies in these haloes, and as diffuse hot and warm gas. We also find that, at a fixed stellar mass, the stellar-to-total-mass ratio increases at lower redshifts. This suggests that galaxies at a fixed stellar mass form later in lower mass dark matter haloes, and earlier in massive haloes. We interpret this as a `halo downsizing' effect.Comment: Proceedings of the IAU Symposium No. 277, 2010 "Tracing the Ancestry of Galaxies on the Land of our Ancestors"; Eds. Carignan, Freeman and Combe
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