从分支到流动:弧不相交分支流动的类Edmonds性质研究

Cláudio Carvalho, J. Costa, Raul Lopes, A. K. Maia, N. Nisse, C. Sales
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引用次数: 0

摘要

网络N = (D, u)中的s分支流f,其中u是容量函数,是从s到达V(D)中的每个顶点的流,同时在每个顶点上损失一个单位的流量。Bang-Jensen和Bessy [TCS, 2014]表明,当每个弧的容量为n−1时,当且仅当其关联有向图D包含k个弧不相交的s分支流时,网络才包含k个弧不相交的s分支流。因此,Edmonds的一个经典结果表明,一个有向图包含k个弧不相交分支,当且仅当每个集合X的度数≥k时,也刻画了这些网络中存在k个弧不相交s分支流,表明容量越大,s分支流越接近于s分支流。Bang-Jensen等人的结果进一步暗示了这一观察结果。[DAM, 2016]表明,对于每个固定的c≥1,当每个弧具有容量n−c时,存在一个多项式算法来找到流量(如果存在),并且对于大多数其他容量选择,这种算法不太可能存在。在本文中,我们研究了Edmonds '表征的一个自然推广性质与网络中k弧不相交s分支流的存在性的关系。尽管这个性质对于流的存在总是必要的,但我们表明它并不总是充分的,并且即使我们事先知道网络满足它,也很难确定是否存在期望的流。在积极的方面,我们表明它保证了在某些特定情况下期望流的存在,例如,取决于容量函数的选择或D的底层图的结构。我们注意到,在这些积极的情况下,从构造性证明中提取寻找流扫描的多项式时间算法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
From branchings to flows: a study of an Edmonds' like property to arc-disjoint branching flows
An s-branching flow f in a network N = (D, u), where u is the capacity function, is a flow thatreaches every vertex in V(D) from s while loosing exactly one unit of flow in each vertex other thans. Bang-Jensen and Bessy [TCS, 2014] showed that, when every arc has capacity n − 1, a network Nadmits k arc-disjoint s-branching flows if and only if its associated digraph D contains k arc-disjoints-branchings. Thus a classical result by Edmonds stating that a digraph contains k arc-disjoints-branchings if and only if the indegree of every set X ⊆ V (D) \ {s} is at least k also characterizesthe existence of k arc-disjoint s-branching flows in those networks, suggesting that the larger thecapacities are, the closer an s-branching flow is from simply being an s-branching. This observationis further implied by results by Bang-Jensen et al. [DAM, 2016] showing that there is a polynomialalgorithm to find the flows (if they exist) when every arc has capacity n − c, for every fixed c ≥ 1,and that such an algorithm is unlikely to exist for most other choices of the capacities. In this paper,we investigate how a property that is a natural extension of the characterization by Edmonds’ relatesto the existence of k arc-disjoint s-branching flows in networks. Although this property is alwaysnecessary for the existence of the flows, we show that it is not always sufficient and that it is hardto decide if the desired flows exist even if we know beforehand that the network satisfies it. On thepositive side, we show that it guarantees the existence of the desired flows in some particular casesdepending on the choice of the capacity function or on the structure of the underlying graph of D,for example. We remark that, in those positive cases, polynomial time algorithms to find the flowscan be extracted from the constructive proofs.
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