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On ideal clutters, metrics and multiflows

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Integer Programming and Combinatorial Optimization (IPCO 1996)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1084))

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Abstract

“Binary clutters” contain various objects studied in Combinatorial Optimization, such as paths, Chinese Postman Tours, multiflows and one-sided circuits on surfaces. Minimax theorems about these can be generalized in terms of ideal binary clutters. Seymour has conjectured a characterization of these, and the goal of the present work is to study this conjecture in terms of multiflows in matroids. Seymour's conjecture is equivalent to the following:

Let F be a binary clutter. Then the Cut Condition is sufficient in the underlying matroid, for all F ε F as demand-set, to have a multiflow, if and only if it implies the so called K5, F7 and R10-conditions.

These three conditions are applications of the general “Metric Condition” to particular 0–1 bipartite weightings. In this paper we prove the following weakening of this conjecture:

The Cut Condition is sufficient for all F ε F as demand-set, to have a multiflow, if and only if it implies the Metric Condition for every bipartite 0–1 weighting.

A special case of this result has been stated as a conjecture in Robertson and Seymour's “Graph Minors” volume, (1991, “Open Problem 11 (A. Sebő)”). Using Lehman's theorem on minimal non-ideal clutters, we sharpen the properties of minimally non-ideal clutters for the binary and graphic special cases.

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William H. Cunningham S. Thomas McCormick Maurice Queyranne

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© 1996 Springer-Verlag Berlin Heidelberg

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Novick, B., Sebő, A. (1996). On ideal clutters, metrics and multiflows. In: Cunningham, W.H., McCormick, S.T., Queyranne, M. (eds) Integer Programming and Combinatorial Optimization. IPCO 1996. Lecture Notes in Computer Science, vol 1084. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-61310-2_21

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  • DOI: https://doi.org/10.1007/3-540-61310-2_21

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  • Online ISBN: 978-3-540-68453-4

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