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A New Graph Parameter to Measure Linearity

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Combinatorial Optimization and Applications (COCOA 2017)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 10628))

Abstract

Since its introduction to recognize chordal graphs by Rose, Tarjan, and Lueker, Lexicographic Breadth First Search (LexBFS) has been used to come up with simple, often linear time, algorithms on various classes of graphs. These algorithms are usually multi-sweep algorithms; that is they compute LexBFS orderings \(\sigma _1, \ldots , \sigma _k\), where \(\sigma _i\) is used to break ties for \(\sigma _{i+1}\). Since the number of LexBFS orderings for a graph is finite, this infinite sequence \(\{\sigma _i\}\) must have a loop, i.e. a multi-sweep algorithm will loop back to compute \(\sigma _j\), for some j. We study this new graph invariant, LexCycle(G), defined as the maximum length of a cycle of vertex orderings obtained via a sequence of LexBFS\(^+\). In this work, we focus on graph classes with small LexCycle. We give evidence that a small LexCycle often leads to linear structure that has been exploited algorithmically on a number of graph classes. In particular, we show that for proper interval, interval, co-bipartite, domino-free cocomparability graphs, as well as trees, there exists two orderings \(\sigma \) and \(\tau \) such that \(\sigma = \text {LexBFS}^+(\tau )\) and \(\tau = \text {LexBFS}^+(\sigma )\). One of the consequences of these results is the simplest algorithm to compute a transitive orientation for these graph classes. It was conjectured by Stacho [2015] that LexCycle is at most the asteroidal number of the graph class, we disprove this conjecture by giving a construction for which \({{\mathrm{LexCycle}}}(G) > an(G)\), the asteroidal number of G.

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Correspondence to Lalla Mouatadid .

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Charbit, P., Habib, M., Mouatadid, L., Naserasr, R. (2017). A New Graph Parameter to Measure Linearity. In: Gao, X., Du, H., Han, M. (eds) Combinatorial Optimization and Applications. COCOA 2017. Lecture Notes in Computer Science(), vol 10628. Springer, Cham. https://doi.org/10.1007/978-3-319-71147-8_11

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  • DOI: https://doi.org/10.1007/978-3-319-71147-8_11

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  • Print ISBN: 978-3-319-71146-1

  • Online ISBN: 978-3-319-71147-8

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