11 research outputs found

    On relaxing the constraints in pairwise compatibility graphs

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    A graph GG is called a pairwise compatibility graph (PCG) if there exists an edge weighted tree TT and two non-negative real numbers dmind_{min} and dmaxd_{max} such that each leaf lul_u of TT corresponds to a vertex uVu \in V and there is an edge (u,v)E(u,v) \in E if and only if dmindT(lu,lv)dmaxd_{min} \leq d_T (l_u, l_v) \leq d_{max} where dT(lu,lv)d_T (l_u, l_v) is the sum of the weights of the edges on the unique path from lul_u to lvl_v in TT. In this paper we analyze the class of PCG in relation with two particular subclasses resulting from the the cases where \dmin=0 (LPG) and \dmax=+\infty (mLPG). In particular, we show that the union of LPG and mLPG does not coincide with the whole class PCG, their intersection is not empty, and that neither of the classes LPG and mLPG is contained in the other. Finally, as the graphs we deal with belong to the more general class of split matrogenic graphs, we focus on this class of graphs for which we try to establish the membership to the PCG class.Comment: 12 pages, 7 figure

    On 2-switches and isomorphism classes

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    A 2-switch is an edge addition/deletion operation that changes adjacencies in the graph while preserving the degree of each vertex. A well known result states that graphs with the same degree sequence may be changed into each other via sequences of 2-switches. We show that if a 2-switch changes the isomorphism class of a graph, then it must take place in one of four configurations. We also present a sufficient condition for a 2-switch to change the isomorphism class of a graph. As consequences, we give a new characterization of matrogenic graphs and determine the largest hereditary graph family whose members are all the unique realizations (up to isomorphism) of their respective degree sequences.Comment: 11 pages, 6 figure

    Graphs with the strong Havel-Hakimi property

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    The Havel-Hakimi algorithm iteratively reduces the degree sequence of a graph to a list of zeroes. As shown by Favaron, Mah\'eo, and Sacl\'e, the number of zeroes produced, known as the residue, is a lower bound on the independence number of the graph. We say that a graph has the strong Havel-Hakimi property if in each of its induced subgraphs, deleting any vertex of maximum degree reduces the degree sequence in the same way that the Havel-Hakimi algorithm does. We characterize graphs having this property (which include all threshold and matrogenic graphs) in terms of minimal forbidden induced subgraphs. We further show that for these graphs the residue equals the independence number, and a natural greedy algorithm always produces a maximum independent set.Comment: 7 pages, 3 figure

    Matroids arisen from matrogenic graphs

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    Let G be a finite simple graph and let ℐ(G) be the set of subsets X of V(G) such that the subgraph of G induced by X is threshold. If ℐ(G) is the independence system of a matroid, then G is called matrogenic [3]. In this paper, we characterize matroids arising from matrogenic graphs

    Residual reliability of P-threshold graphs

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    We solve the problem of computing the residual reliability (the RES problem) for all classes of P-threshold graphs for which efficient structural characterizations based on decomposition to indecomposable components have been established. In particular, we give a constructive proof of existence of linear algorithms for computing residual reliability of pseudodomishold, domishold, matrogenic and matroidal graphs. On the other hand, we show that the RES problem is #P-complete on the class of biregular graphs, which implies the #P-completeness of the RES problem on the classes of indecomposable box-threshold and pseudothreshold graph

    All graphs with at most seven vertices are Pairwise Compatibility Graphs

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    A graph GG is called a pairwise compatibility graph (PCG) if there exists an edge-weighted tree TT and two non-negative real numbers dmind_{min} and dmaxd_{max} such that each leaf lul_u of TT corresponds to a vertex uVu \in V and there is an edge (u,v)E(u,v) \in E if and only if dmindT,w(lu,lv)dmaxd_{min} \leq d_{T,w} (l_u, l_v) \leq d_{max} where dT,w(lu,lv)d_{T,w} (l_u, l_v) is the sum of the weights of the edges on the unique path from lul_u to lvl_v in TT. In this note, we show that all the graphs with at most seven vertices are PCGs. In particular all these graphs except for the wheel on 7 vertices W7W_7 are PCGs of a particular structure of a tree: a centipede.Comment: 8 pages, 2 figure

    Pairwise Compatibility Graphs: A Survey

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    International audienceA graph G=(V,E)G=(V,E) is a pairwise compatibility graph (PCG) if there exists an edge-weighted tree TT and two nonnegative real numbers dmind_{min} and dmaxd_{max} such that each leaf uu of TT is a node of VV and there is an edge (u,v)E(u,v) \in E if and only if dmindT(u,v)dmaxd_{min} \leq d_T (u, v) \leq d_{max}, where dT(u,v)d_T (u, v) is the sum of weights of the edges on the unique path from uu to vv in TT. In this article, we survey the state of the art concerning this class of graphs and some of its subclasses

    Minimal forbidden sets for degree sequence characterizations

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    Given a set F of graphs, a graph G is F-free if G does not contain any member of as an induced subgraph. A set F is degree-sequence-forcing (DSF) if, for each graph G in the class C of -free graphs, every realization of the degree sequence of G is also in C. A DSF set is minimal if no proper subset is also DSF. In this paper, we present new properties of minimal DSF sets, including that every graph is in a minimal DSF set and that there are only finitely many DSF sets of cardinality k. Using these properties and a computer search, we characterize the minimal DSF triples
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