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Mathematical Programming
The median of a graph G with weighted vertices is the set of all vertices x minimizing the sum of weighted distances from x to the vertices of G. For any integer p ≥ 2, we characterize the graphs in which, with respect to any non-negative weights, median sets always induce connected subgraphs in the pth power G p of G. This extends some characterizations of graphs with connected medians (case p = 1) provided by Bandelt and Chepoi (2002). The characteristic conditions can be tested in polynomial time for any p. We also show that several important classes of graphs in metric graph theory, including bridged graphs (and thus chordal graphs), graphs with convex balls, bucolic graphs, and bipartite absolute retracts, have G 2-connected medians. Extending the result of Bandelt and Chepoi that basis graphs of matroids are graphs with connected medians, we characterize the isometric subgraphs of Johnson graphs and of halved-cubes with connected medians.
ArXiv, 2019
The median of a graph $G$ is the set of all vertices $x$ of $G$ minimizing the sum of distances from $x$ to all other vertices of $G$. It is known that computing the median of dense graphs in subcubic time refutes the APSP conjecture and computing the median of sparse graphs in subquadratic time refutes the HS conjecture. In this paper, we present a linear time algorithm for computing medians of median graphs, improving over the existing quadratic time algorithm. Median graphs constitute the principal class of graphs investigated in metric graph theory, due to their bijections with other discrete and geometric structures (CAT(0) cube complexes, domains of event structures, and solution sets of 2-SAT formulas). Our algorithm is based on the known majority rule characterization of medians in a median graph $G$ and on a fast computation of parallelism classes of edges ($\Theta$-classes) of $G$. The main technical contribution of the paper is a linear time algorithm for computing the $\...
Journal of Computer and System Sciences, 2022
The median of a set of vertices P of a graph G is the set of all vertices x of G minimizing the sum of distances from x to all vertices of P. In this paper, we present a linear time algorithm to compute medians in median graphs, improving over the existing quadratic time algorithm. We also present a linear time algorithm to compute medians in the 1-cube complexes associated with median graphs. Median graphs constitute the principal class of graphs investigated in metric graph theory and have a rich geometric and combinatorial structure, due to their bijections with CAT(0) cube complexes and domains of event structures. Our algorithm is based on the majority rule characterization of medians in median graphs and on a fast computation of parallelism classes of edges (Θ-classes or hyperplanes) via Lexicographic Breadth First Search (LexBFS). To prove the correctness of our algorithm, we show that any LexBFS ordering of the vertices of G satisfies the following fellow traveler property of independent interest: the parents of any two adjacent vertices of G are also adjacent. Using the fast computation of the Θ-classes, we also compute the Wiener index (total distance) of G in linear time and the distance matrix in optimal quadratic time.
The distance DG(v) of a vertex v in an undirected graph G is the sum of the distances between v and all other vertices of G. The set of vertices in G with maximum (minimum) distance is the antimedian (median) set of a graph G. In this note we prove that for every connected graph G there exists a graph H such that G is a convex subgraph of H and V (G) is the antimedian set of H. A similar construction for G as a convex median subgraph is also presented.
European Journal of Combinatorics, 2003
Three characterizations of quasi-median graphs are proved, for instance, they are partial Hamming graphs without convex house and convex Q3− such that certain relations on their edge sets coincide. Expansion procedures, weakly 2-convexity, and several relations on ...
Discrete Applied Mathematics, 2009
A profile on a graph G is any nonempty multiset whose elements are vertices from G. The corresponding remoteness function associates to each vertex x ∈ V (G) the sum of distances from x to the vertices in the profile. Starting from some nice and useful properties of the remoteness function in hypercubes, the remoteness function is studied in arbitrary median graphs with respect to their isometric embeddings in hypercubes. In particular, a relation between the vertices in a median graph G whose remoteness function is maximum (antimedian set of G) with the antimedian set of the host hypercube is found. While for odd profiles the antimedian set is an independent set that lies in the strict boundary of a median graph, there exist median graphs in which special even profiles yield a constant remoteness function. We characterize such median graphs in two ways: as the graphs whose periphery transversal number is 2, and as the graphs with the geodetic number equal to 2. Finally, we present an algorithm that, given a graph G on n vertices and m edges, decides in O(m log n) time whether G is a median graph with geodetic number 2.
Discrete Applied Mathematics, 2000
A median of a k-tuple = (x 1; : : : ; x k ) of vertices of a ÿnite connected graph G is a vertex x for which k i=1 d(x; xi) is minimum, where d is the geodesic metric on G. The function M with domain the set of all k-tuples with k ¿ 0 and deÿned by M ( ) = {x | x is a median of } is called the median function on G. In this paper a new characterization of the median function is given for G a median graph. This is used to give a characterization of the median function on median semilattices. ? 2000 Elsevier Science B.V. All rights reserved. MSC: primary 05C12; 05C75; secondary 06A12; 90A08
2007
A profile on a graph G is a finite sequence of vertices of G. The remoteness of a vertex u is the sum of distances to the vertices of the profile. The set of vertices that maximize (minimize) the remoteness is the antimedian (median) set of the profile. It is proved that for every connected graph G there exists a graph H such that G is a convex subgraph of H and V (G) is the antimedian set of the profile consisting of V (H). Using linear programming it is also proved that for an arbitrary graph G and S ⊆ V (G) it can be decided in polynomial time whether S is the antimedian set of some profile. Both results are extended to median sets as well. Graphs in which every antimedian set is connected are also considered.
SIAM Journal on Discrete Mathematics, 1999
Let M (m, n) be the complexity of checking whether a graph G with m edges and n vertices is a median graph. We show that the complexity of checking whether G is triangle-free is at most M (m, m). Conversely, we prove that the complexity of checking whether a given graph is a median graph is at most O(m log n) + T (m log n, n), where T (m, n) is the complexity of finding all triangles of the graph. We also demonstrate that, intuitively speaking, there are as many median graphs as there are triangle-free graphs. Finally, these results enable us to prove that the complexity of recognizing planar median graphs is linear.
Discussiones Mathematicae Graph Theory, 2010
The periphery graph of a median graph is the intersection graph of its peripheral subgraphs. We show that every graph without a universal vertex can be realized as the periphery graph of a median graph. We characterize those median graphs whose periphery graph is the join
Discrete Mathematics, 1993
A notion of parallelism is defined in finite median graphs and a number of properties about geodesics and the existence of cubes are obtained. Introducing sites as a double structure of partial order and graph on a set, it is shown that all median graphs can be constructed from sites and, in fact, that the categories of sites and pointed median graphs are equivalent, generalizing Birkhoff's duality.
Algorithmica, 2010
The median (antimedian) set of a profile π = (u 1 , . . . , u k ) of vertices of a graph G is the set of vertices x that minimize (maximize) the remoteness i d(x, u i ). Two algorithms for median graphs G of complexity O(n idim(G)) are designed, where n is the order and idim(G) the isometric dimension of G. The first algorithm computes median sets of profiles and will be in practice often faster than the other algorithm which in addition computes antimedian sets and remoteness functions and works in all partial cubes.
Networks, 2010
The distance DG(v) of a vertex v in an undirected graph G is the sum of the distances between v and all other vertices of G. The set of vertices in G with maximum (minimum) distance is the antimedian (median) set of a graph G. It is proved that for arbitrary graphs G and J and a positive integer r ≥ 2, there exists a connected graph H such that G is the antimedian and J the median subgraphs of H, respectively, and that dH (G, J) = r. When both G and J are connected, G and J can in addition be made convex subgraphs of H.
Discrete Mathematics, 1998
Let G be a median graph on n vertices and m edges and let k be the number of equivalence classes of the Djoković's relation Θ defined on the edge-set of G. Then 2n − m − k ≤ 2. Moreover, 2n − m − k = 2 if and only if G is cube-free.
Discrete Mathematics, 2003
A graph is distance-hereditary if the distance between any two vertices in a connected induced subgraph is the same as in the original graph. In this paper, we study metric properties of distance-hereditary graphs. In particular, we determine the structures of centers and medians of distance-hereditary and related graphs. The relations between eccentricity, radius, and diameter of such graphs are also investigated.
Discussiones Mathematicae Graph Theory, 2005
Median graphs are characterized among direct products of graphs on at least three vertices. Beside some trivial cases, it is shown that one component of G × P 3 is median if and only if G is a tree in that the distance between any two vertices of degree at least 3 is even. In addition, some partial results considering median graphs of the form G × K 2 are proved, and it is shown that the only nonbipartite quasimedian direct product is K 3 × K 3 .
Discrete Mathematics, 2011
We show that regular median graphs of linear growth are the Cartesian product of finite hypercubes with the two-way infinite path. Such graphs are Cayley graphs and have only two ends. For cubic median graphs G the condition of linear growth can be weakened to the condition that G has two ends. For higher degree the relaxation to twoended graphs is not possible, which we demonstrate by an example of a median graph of degree four that has two ends, but nonlinear growth.
Discrete Applied Mathematics, 2013
A profile π = (x 1 ,. .. , x k), of length k, in a finite connected graph G is a sequence of vertices of G, with repetitions allowed. A median x of π is a vertex for which the sum of the distances from x to the vertices in the profile is minimum. The median function finds the set of all medians of a profile. Medians are important in location theory and consensus theory. A median graph is a graph for which every profile of length 3 has a unique median. Median graphs have been well studied, possess a beautiful structure and arise in many arenas, including ternary algebras, ordered sets and discrete distributed lattices. They have found many applications, for instance in location theory, consensus theory and mathematical biology. Trees and hypercubes are key examples of median graphs. We establish a succinct axiomatic characterization of the median procedure on median graphs, settling a question posed implicitly by McMorris, Mulder and Roberts in 1998 [19]. We show that the median procedure can be characterized on the class of all median graphs with only three simple and intuitively appealing axioms, namely anonymity, betweenness and consistency. Our axiomatization is tight in the sense that each of these three axioms is necessary. We also extend a key result of the same paper, characterizing the median function for profiles of even length on median graphs.
Surveys on Discrete and Computational Geometry, 2008
The article surveys structural characterizations of several graph classes defined by distance properties, which have in part a general algebraic flavor and can be interpreted as subdirect decomposition. The graphs we feature in the first place are the median graphs and their various kinds of generalizations, e.g., weakly modular graphs, or fiber-complemented graphs, or l 1-graphs. Several kinds of l 1-graphs admit natural geometric realizations as polyhedral complexes. Particular instances of these graphs also occur in other geometric contexts, for example, as dual polar graphs, basis graphs of (even ∆-)matroids, tope graphs, lopsided sets, or plane graphs with vertex degrees and face sizes bounded from below. Several other classes of graphs, e.g., Helly graphs (as injective objects), or bridged graphs (generalizing chordal graphs), or tree-like graphs such as distance-hereditary graphs occur in the investigation of graphs satisfying some basic properties of the distance function, such as the Helly property for balls, or the convexity of balls or of the neighborhoods of convex sets, etc. Operators between graphs or complexes relate some of the graph classes reported in this survey.
2011
A profile = (x1, ..., xk), of length k, in a finite connected graph G is a sequenceof vertices of G, with repetitions allowed. A median x of is a vertex for whichthe sum of the distances from x to the vertices in the profile is minimum. Themedian function finds the set of all medians of a profile. Medians are important inlocation theory and consensus theory. A median graph is a graph for which everyprofile of length 3 has a unique median. Median graphs are well studied. Theyarise in many arenas, and have many applications.We establish a succinct axiomatic characterization of the median procedure onmedian graphs. This is a simplification of the characterization given by McMorris,Mulder and Roberts [17] in 1998. We show that the median procedure can be characterizedon the class of all median graphs with only three simple and intuitivelyappealing axioms: anonymity, betweenness and consistency. We also extend a keyresult of the same paper, characterizing the median function for profiles...
Let G be a bipartite graph. In this paper we consider the two kind of location problems namely p-center and p-median problems on bipartite graphs. The p-center and p-median problems asks to find a subset of vertices of cardinality p, so that respectively the maximum and sum of the distances from this set to all other vertices in G is minimized. For each case we present some properties to find exact solutions.
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