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When the cut condition is enough: a complete characterization for multiflow problems in series-parallel networks

Published: 19 May 2012 Publication History

Abstract

Let G=(V,E) be a supply graph and H=(V,F) a demand graph defined on the same set of vertices. An assignment of capacities to the edges of G and demands to the edges of H is said to satisfy the cut condition if for any cut in the graph, the total demand crossing the cut is no more than the total capacity crossing it. The pair (G,H) is called cut-sufficient if for any assignment of capacities and demands that satisfy the cut condition, there is a multiflow routing the demands defined on $H$ within the network with capacities defined on G.
We prove a previous conjecture, which states that when the supply graph G is series-parallel, the pair (G,H) is cut-sufficient if and only if (G,H) does not contain an odd spindle as a minor; that is, if it is impossible to contract edges of G and delete edges of G and H so that G becomes the complete bipartite graph K2,p, with p ≥ 3 odd, and H is composed of a cycle connecting the p vertices of degree 2, and an edge connecting the two vertices of degree p. We further prove that if the instance is Eulerian --- that is, the demands and capacities are integers and the total of demands and capacities incident to each vertex is even --- then the multiflow problem has an integral solution. We provide a polynomial-time algorithm to find an integral solution in this case.
In order to prove these results, we formulate properties of tight cuts (cuts for which the cut condition inequality is tight) in cut-sufficient pairs. We believe these properties might be useful in extending our results to planar graphs.

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    cover image ACM Conferences
    STOC '12: Proceedings of the forty-fourth annual ACM symposium on Theory of computing
    May 2012
    1310 pages
    ISBN:9781450312455
    DOI:10.1145/2213977
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    Published: 19 May 2012

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    Author Tags

    1. network flows
    2. series-parallel graphs

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    STOC'12: Symposium on Theory of Computing
    May 19 - 22, 2012
    New York, New York, USA

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    • (2022)An Approximate Generalization of the Okamura-Seymour Theorem2022 IEEE 63rd Annual Symposium on Foundations of Computer Science (FOCS)10.1109/FOCS54457.2022.00106(1093-1101)Online publication date: Oct-2022
    • (2021)A quasipolynomial (2 + ε)-approximation for planar sparsest cutProceedings of the 53rd Annual ACM SIGACT Symposium on Theory of Computing10.1145/3406325.3451103(1056-1069)Online publication date: 15-Jun-2021
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    • (2013)Flow-cut gaps for integer and fractional multiflowsJournal of Combinatorial Theory Series B10.1016/j.jctb.2012.11.002103:2(248-273)Online publication date: 1-Mar-2013

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