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      Unifying duality theorems for width parameters in graphs and matroids. I. Weak and strong duality

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          Abstract

          We prove a general duality theorem for width parameters in combinatorial structures such as graphs and matroids. It implies the classical such theorems for path-width, tree-width, branch-width and rank-width, and gives rise to new width parameters with associated duality theorems. The highly connected substructures witnessing large width are presented in a unified way akin to tangles, as orientations of low-order separations satisfying certain consistency axioms.

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          Connectivity and tree structure in finite graphs

          Considering systems of separations in a graph that separate every pair of a given set of vertex sets that are themselves not separated by these separations, we determine conditions under which such a separation system contains a nested subsystem that still separates those sets and is invariant under the automorphisms of the graph. As an application, we show that the \(k\)-blocks -- the maximal vertex sets that cannot be separated by at most \(k\) vertices -- of a graph \(G\) live in distinct parts of a suitable tree-decomposition of \(G\) of adhesion at most \(k\), whose decomposition tree is invariant under the automorphisms of \(G\). This extends recent work of Dunwoody and Kr\"on and, like theirs, generalizes a similar theorem of Tutte for \(k=2\). Under mild additional assumptions, which are necessary, our decompositions can be combined into one overall tree-decomposition that distinguishes, for all \(k\) simultaneously, all the \(k\)-blocks of a finite graph.
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            Abstract Separation Systems

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              Author and article information

              Journal
              2014-06-15
              2015-02-14
              Article
              1406.3797
              911714dc-6f2f-414f-81bd-2eb4efa83229

              http://arxiv.org/licenses/nonexclusive-distrib/1.0/

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              31 pages
              math.CO

              Combinatorics
              Combinatorics

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