One of the most important questions in matroid optimization is to find disjoint common bases of two matroids. The significance of the problem is well-illustrated by the long list of conjectures that can be formulated as special cases. B\'erczi and Schwarcz showed that the problem is hard in general, therefore identifying the borderline between tractable and intractable instances is of interest. In the present paper, we study the special case when one of the matroids is a partition matroid while the other one is a graphic matroid. This setting is equivalent to the problem of packing rainbow spanning trees, an extension of the problem of packing arborescences in directed graphs which was answered by Edmonds' seminal result on disjoint arborescences. We complement his result by showing that it is NP-complete to decide whether an edge-colored graph contains two disjoint rainbow spanning trees. Our complexity result holds even for the very special case when the graph is the union of two spanning trees and each color class contains exactly two edges. As a corollary, we give a negative answer to a question on the decomposition of oriented $k$-partition-connected digraphs.
翻译:甲状腺优化中最重要的问题之一是找到两种甲状腺的脱节共同基点。 这个问题的重要性被作为特例拟订的长长的推测列表所充分解释。 B\'erczi 和 Schwarcz 显示,这个问题总的来说很困难, 从而确定了可移植和棘手案例之间的界线。 在本文件中, 我们研究一个类甲状腺是隔断类, 而另一个类甲状腺是图形型的。 这个设置相当于彩虹横跨树木的包装问题, 也就是在定向图中包装损耗的问题的延伸, 这个问题是由Edmonds关于脱节的原始结果所解答的。 我们补充他的结果是, 显示边缘色图是否包含两个不相连的彩虹树, 而另一个是图形, 当该图是两个横贯树木的结合, 每个彩色类包含两边时, 我们的结果就非常复杂。 作为必然的结果, 我们给一个对一个问题做了负面的答案, 将一个问题连接到 $ 。