13 research outputs found

    On powers of interval graphs and their orders

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    It was proved by Raychaudhuri in 1987 that if a graph power Gk1G^{k-1} is an interval graph, then so is the next power GkG^k. This result was extended to mm-trapezoid graphs by Flotow in 1995. We extend the statement for interval graphs by showing that any interval representation of Gk1G^{k-1} can be extended to an interval representation of GkG^k that induces the same left endpoint and right endpoint orders. The same holds for unit interval graphs. We also show that a similar fact does not hold for trapezoid graphs.Comment: 4 pages, 1 figure. It has come to our attention that Theorem 1, the main result of this note, follows from earlier results of [G. Agnarsson, P. Damaschke and M. M. Halldorsson. Powers of geometric intersection graphs and dispersion algorithms. Discrete Applied Mathematics 132(1-3):3-16, 2003]. This version is updated accordingl

    A linear-time algorithm for the strong chromatic index of Halin graphs

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    We show that there exists a linear-time algorithm that computes the strong chromatic index of Halin graphs.Comment: 7 page

    Author index volume 6 (1983)

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    On The Center Sets and Center Numbers of Some Graph Classes

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    For a set SS of vertices and the vertex vv in a connected graph GG, maxxSd(x,v)\displaystyle\max_{x \in S}d(x,v) is called the SS-eccentricity of vv in GG. The set of vertices with minimum SS-eccentricity is called the SS-center of GG. Any set AA of vertices of GG such that AA is an SS-center for some set SS of vertices of GG is called a center set. We identify the center sets of certain classes of graphs namely, Block graphs, Km,nK_{m,n}, KneK_n-e, wheel graphs, odd cycles and symmetric even graphs and enumerate them for many of these graph classes. We also introduce the concept of center number which is defined as the number of distinct center sets of a graph and determine the center number of some graph classes

    Obstructions to Faster Diameter Computation: Asteroidal Sets

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    Full version of an IPEC'22 paperAn extremity is a vertex such that the removal of its closed neighbourhood does not increase the number of connected components. Let ExtαExt_{\alpha} be the class of all connected graphs whose quotient graph obtained from modular decomposition contains no more than α\alpha pairwise nonadjacent extremities. Our main contributions are as follows. First, we prove that the diameter of every mm-edge graph in ExtαExt_{\alpha} can be computed in deterministic O(α3m3/2){\cal O}(\alpha^3 m^{3/2}) time. We then improve the runtime to linear for all graphs with bounded clique-number. Furthermore, we can compute an additive +1+1-approximation of all vertex eccentricities in deterministic O(α2m){\cal O}(\alpha^2 m) time. This is in sharp contrast with general mm-edge graphs for which, under the Strong Exponential Time Hypothesis (SETH), one cannot compute the diameter in O(m2ϵ){\cal O}(m^{2-\epsilon}) time for any ϵ>0\epsilon > 0. As important special cases of our main result, we derive an O(m3/2){\cal O}(m^{3/2})-time algorithm for exact diameter computation within dominating pair graphs of diameter at least six, and an O(k3m3/2){\cal O}(k^3m^{3/2})-time algorithm for this problem on graphs of asteroidal number at most kk. We end up presenting an improved algorithm for chordal graphs of bounded asteroidal number, and a partial extension of our results to the larger class of all graphs with a dominating target of bounded cardinality. Our time upper bounds in the paper are shown to be essentially optimal under plausible complexity assumptions

    Recognition of C4-free and 1/2-hyperbolic graphs

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    International audienceThe shortest-path metric d of a connected graph G is 1/2-hyperbolic if, and only if, it satisfies d(u,v) + d(x,y) ≤ max{d(u,x) + d(v,y),d(u,y) + d(v,x)} + 1, for every 4-tuple u,x,v,y of G. We show that the problem of deciding whether an unweighted graph is 1/2-hyperbolic is subcubic equivalent to the problem of determining whether there is a chordless cycle of length 4 in a graph. An improved algorithm is also given for both problems, taking advantage of fast rectangular matrix multiplication. In the worst case it runs in O(n^{3.26})-time

    Grafos de intervalos propios y grafos arbóreos

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    Contenido: Introducción 1 Grafos de intervalos propios 1.1 Generalidades 1.2 Caracterizaciones 1.3 Radio y centro 1.4 Planaridad 1.5 Un problema de aplicación 2 Grafos de intervalos propios mínimos 2.1 Generalidades 2.2 Resultado Principal 2.3 Una clase clique-cerrada 2.4 Número de grafos de intervalos propios mínimos conexos 3 Grafos Arbóreo 3.1 Generalidades 3.2 Caracterizaciones 3.3 Relación con otras clases de grafos 4 Grafos de intersección 4.1 Generalidades 4.2 Una caracterización de los grafos de intersección 4.3 La aplicación dique entre ΩΣp y CΣpTesis digitalizada en SEDICI gracias a la Biblioteca del Departamento de Matemática de la Facultad de Ciencias Exactas (UNLP).Facultad de Ciencias Exacta
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