254 research outputs found

    The Brown-Colbourn conjecture on zeros of reliability polynomials is false

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    We give counterexamples to the Brown-Colbourn conjecture on reliability polynomials, in both its univariate and multivariate forms. The multivariate Brown-Colbourn conjecture is false already for the complete graph K_4. The univariate Brown-Colbourn conjecture is false for certain simple planar graphs obtained from K_4 by parallel and series expansion of edges. We show, in fact, that a graph has the multivariate Brown-Colbourn property if and only if it is series-parallel.Comment: LaTeX2e, 17 pages. Version 2 makes a few small improvements in the exposition. To appear in Journal of Combinatorial Theory

    Matroids with nine elements

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    We describe the computation of a catalogue containing all matroids with up to nine elements, and present some fundamental data arising from this cataogue. Our computation confirms and extends the results obtained in the 1960s by Blackburn, Crapo and Higgs. The matroids and associated data are stored in an online database, and we give three short examples of the use of this database.Comment: 22 page

    Structure of Cubic Lehman Matrices

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    A pair (A,B)(A,B) of square (0,1)(0,1)-matrices is called a \emph{Lehman pair} if ABT=J+kIAB^T=J+kI for some integer k∈{βˆ’1,1,2,3,…}k\in\{-1,1,2,3,\ldots\}. In this case AA and BB are called \emph{Lehman matrices}. This terminology arises because Lehman showed that the rows with the fewest ones in any non-degenerate minimally nonideal (mni) matrix MM form a square Lehman submatrix of MM. Lehman matrices with k=βˆ’1k=-1 are essentially equivalent to \emph{partitionable graphs} (also known as (Ξ±,Ο‰)(\alpha,\omega)-graphs), so have been heavily studied as part of attempts to directly classify minimal imperfect graphs. In this paper, we view a Lehman matrix as the bipartite adjacency matrix of a regular bipartite graph, focusing in particular on the case where the graph is cubic. From this perspective, we identify two constructions that generate cubic Lehman graphs from smaller Lehman graphs. The most prolific of these constructions involves repeatedly replacing suitable pairs of edges with a particular 66-vertex subgraph that we call a 33-rung ladder segment. Two decades ago, L\"{u}tolf \& Margot initiated a computational study of mni matrices and constructed a catalogue containing (among other things) a listing of all cubic Lehman matrices with k=1k =1 of order up to 17Γ—1717 \times 17. We verify their catalogue (which has just one omission), and extend the computational results to 20Γ—2020 \times 20 matrices. Of the 908908 cubic Lehman matrices (with k=1k=1) of order up to 20Γ—2020 \times 20, only two do not arise from our 33-rung ladder construction. However these exceptions can be derived from our second construction, and so our two constructions cover all known cubic Lehman matrices with k=1k=1

    Excluding Kuratowski graphs and their duals from binary matroids

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    We consider some applications of our characterisation of the internally 4-connected binary matroids with no M(K3,3)-minor. We characterise the internally 4-connected binary matroids with no minor in some subset of {M(K3,3),M*(K3,3),M(K5),M*(K5)} that contains either M(K3,3) or M*(K3,3). We also describe a practical algorithm for testing whether a binary matroid has a minor in the subset. In addition we characterise the growth-rate of binary matroids with no M(K3,3)-minor, and we show that a binary matroid with no M(K3,3)-minor has critical exponent over GF(2) at most equal to four.Comment: Some small change
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