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arXiv 2305.03440cs.DS
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弦图/区间图顶点删除的树宽参数化紧致界

Tight Bounds for Chordal/Interval Vertex Deletion Parameterized by Treewidth

Michal Wlodarczyk

AI总结:

本文研究了树宽参数化的弦图/区间图顶点删除问题,利用弦图与图拟阵的联系及代表族框架,将弦图删除算法运行时间改进至2^{O(tw)}·|V(G)|,并在ETH假设下证明了区间图删除的2^{O(tw log tw)}算法下界紧致。

摘要:

在弦图/区间图顶点删除问题中,我们询问需要从图中删除多少个顶点才能使其变为弦图(对应地:区间图)。我们基于输入图G的树宽tw参数化研究这些问题。一方面,我们提出了一种弦图顶点删除算法,运行时间为2^{O(tw)} · |V(G)|,改进了Jansen、de Kroon和Wlodarczyk(STOC'21)提出的2^{O(tw^2)} · |V(G)|^{O(1)}算法。当给定宽度为tw的树分解时,指数的底数等于2^{ω-1} · 3 + 1。我们的算法基于弦图与图拟阵间的新颖联系,这使我们能够采用代表族框架。另一方面,在指数时间假设下,我们证明了已知的2^{O(tw log tw)} · |V(G)|时间区间图顶点删除算法无法被改进。

英文摘要:

In Chordal/Interval Vertex Deletion we ask how many vertices one needs to remove from a graph to make it chordal (respectively: interval). We study these problems under the parameterization by treewidth $tw$ of the input graph $G$. On the one hand, we present an algorithm for Chordal Vertex Deletion with running time $2^{O(tw)} \cdot |V(G)|$, improving upon the running time $2^{O(tw^2)} \cdot |V(G)|^{O(1)}$ by Jansen, de Kroon, and Wlodarczyk (STOC'21). When a tree decomposition of width $tw$ is given, then the base of the exponent equals $2^{ω-1}\cdot 3 + 1$. Our algorithm is based on a novel link between chordal graphs and graphic matroids, which allows us to employ the framework of representative families. On the other hand, we prove that the known $2^{O(tw \log tw)} \cdot |V(G)|$-time algorithm for Interval Vertex Deletion cannot be improved assuming Exponential Time Hypothesis.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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