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arXiv 0908.2765math.CO
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图的布尔宽度:结构及应用

On the boolean-width of a graph: structure and applications

Y. Rabinovich, J. A. Telle

摘要:

研究了最近引入的图的布尔宽度。我们的结构结果如下。首先,我们证明了随机图在$n$顶点上的布尔宽度几乎必然是$O(\log^2 n)$,并且很容易找到相应的分解树。第二,对任意常数$d$,最大度为$d$的图的树宽是布尔宽度线性的。这意味着在$n$顶点上的(稀疏)随机$d$ -正则图的布尔宽度在$n$中几乎必然是线性的。第三,我们证明了布尔割值可以用相应集合系统的VC维数很好地逼近。由于VC维被广泛研究,我们希望这个结构性的结果将有助于更好地理解布尔宽度。结合我们的第一个结构性结果和Bui-Xuan等人的\cite{BTV09,BTV09II}算法,我们得到了随机图的一大类顶点子集和顶点划分问题的拟多项式$O^*(2^{O(\log ^4 n)})$时间算法.

英文摘要:

We study the recently introduced boolean-width of graphs. Our structural results are as follows. Firstly, we show that almost surely the boolean-width of a random graph on $n$ vertices is $O(\log^2 n)$, and it is easy to find the corresponding decomposition tree. Secondly, for any constant $d$ a graph of maximum degree $d$ has boolean-width linear in treewidth. This implies that almost surely the boolean-width of a (sparse) random $d$-regular graph on $n$ vertices is linear in $n$. Thirdly, we show that the boolean-cut value is well approximated by VC dimension of corresponding set system. Since VC dimension is widely studied, we hope that this structural result will prove helpful in better understanding of boolean-width. Combining our first structural result with algorithms from Bui-Xuan et al \cite{BTV09,BTV09II} we get for random graphs quasi-polynomial $O^*(2^{O(\log ^4 n)})$ time algorithms for a large class of vertex subset and vertex partitioning problems.

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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