arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 2008.08349math.COcs.DM
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弦图的邻域多项式

The Neighborhood Polynomial of Chordal Graphs

Helena Bergold, Winfried Hochstättler, Uwe Mayer

AI总结:

本文研究弦图的邻域多项式,引入锚宽度参数并给出多项式时间算法,证明锚宽度受叶数限制,使某些子类可高效计算,而一般弦图是NP难的。

摘要:

我们研究了弦图的邻域多项式及其计算复杂度。图的邻域多项式是顶点子集的生成函数,这些子集具有公共邻居。我们为弦图引入了一个称为锚宽度的参数,并提出了一种算法来计算邻域多项式,当锚宽度被多项式有界时,该算法在多项式时间内运行。锚宽度是团中出现的不同子团作为公共邻域的最大数量。此外,我们研究了弦图及其一些子类(如弦可比图和具有有界叶数的弦图)的锚宽度。弦图的叶数是子树表示的主树中叶子的最小数量。我们证明了弦图的锚宽度最多为 $n^{\ell}$,其中 $\ell$ 表示叶数。这表明对于某些子类,计算邻域多项式可以在多项式时间内完成,而对于一般弦图则是NP难的。

英文摘要:

We study the neighborhood polynomial and the complexity of its computation for chordal graphs. The neighborhood polynomial of a graph is the generating function of subsets of its vertices that have a common neighbor. We introduce a parameter for chordal graphs called anchor width and an algorithm to compute the neighborhood polynomial which runs in polynomial time if the anchor width is polynomially bounded. The anchor width is the maximal number of different sub-cliques of a clique which appear as a common neighborhood. Furthermore we study the anchor width for chordal graphs and some subclasses such as chordal comparability graphs and chordal graphs with bounded leafage. the leafage of a chordal graphs is the minimum number of leaves in the host tree of a subtree representation. We show that the anchor width of a chordal graph is at most $n^{\ell}$ where $\ell$ denotes the leafage. This shows that for some subclasses computing the neighborhood polynomial is possible in polynomial time while it is NP-hard for general chordal graphs.

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