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Towards a Complexity Dichotomy for Colourful Components Problems on k-caterpillars and Small-Degree Planar Graphs

机译:朝着k-caterpillars和小型平面图的多彩成分问题的复杂性二分法

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A connected component of a vertex-coloured graph is said to be colourful if all its vertices have different colours, and a graph is colourful if all its connected components are colourful. Given a vertex-coloured graph, the Colourful Components problem asks whether there exist at most p edges whose removal makes the graph colourful, and the Colourful Partition problem asks whether there exists a partition of the vertex set with at most p parts such that each part induces a colourful component. We study the problems on k-caterpillars (caterpillars with hairs of length at most k) and explore the boundary between polynomial and NP-complete cases. It is known that the problems are NP-complete on 2-caterpillars with unbounded maximum degree. We prove that both problems remain NP-complete on binary 4-caterpillars and on ternary 3-caterpillars. This answers an open question regarding the complexity of the problems on trees with maximum degree at most 5. On the positive side, we give a linear time algorithm for 1-caterpillars with unbounded degree, even if the backbone is a cycle, which outperforms the previous best complexity for paths and widens the class of graphs. Finally, we answer an open question regarding the complexity of Colourful Components on graphs with maximum degree at most 5. We show that the problem is NP-complete on 5-coloured planar graphs with maximum degree 4, and on 12-coloured planar graphs with maximum degree 3. Since the problem can be solved in polynomial-time on graphs with maximum degree 2, the results are the best possible with regard to the maximum degree.
机译:如果所有顶点都有不同的颜色,则据说顶点彩色图的连接组件是彩色的,如果所有连接的组件都是彩色的,则图形是彩色的。鉴于顶点彩色的图形,彩色组件问题询问是否存在最多的P边缘,其删除使得图形多彩,彩色分区问题询问是否存在顶点的分区,每个P部件都有这样的顶点设置,例如每个部分诱导五颜六色的组成部分。我们研究K-caterpillars上的问题(最多毛发的毛发毛虫),并探索多项式和NP完整情况之间的边界。众所周知,这些问题在2-型毛虫上具有无限性的最大程度。我们证明这两个问题在二元4型毛虫和三元3型毛虫上仍然存在NP-Termining。这回答了关于树木上存在的问题的复杂性最大程度的开放问题。在正面,我们为1-caterpillars提供了无限度的线性时间算法,即使骨干是一个循环,它也优于突出以前的道路最佳复杂性并扩大了图表类。最后,我们最多回答了有关彩色组件的复杂性的开放问题,最大程度最高为5.我们表明问题在于具有最大4度的5色平面图上的NP-Compular,以及12色平面图最大程度3.由于在具有最大2度的图表上的多项式时间中可以解决问题,结果是关于最大程度的最佳可能性。

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