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Bisecting sparse random graphs

机译:二等分稀疏随机图

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Consider partitions of the vertex set of a graph G into two sets with sizes differing by at most 1: the bisection width of G is the minimum over all such partitions of the number of "cross edges" between the parts. We are interested in sparse random graphs G(n,c) with edge probability c. We show that, if c > 1n 4, then the bisection width is Omega (n) with high probability; while if c < 1n 4, then it is equal to 0 with high probability. There are corresponding threshold results for partitioning into any fixed number of parts. (C) 2001 John Wiley & Sons, Inc. [References: 16]
机译:考虑将图G的顶点集划分为两组,其大小相差最大为1:G的对分宽度在部件之间“交叉边”的数量的所有此类划分中最小。我们对边缘概率为c / n的稀疏随机图G(n,c / n)感兴趣。我们证明,如果c> 1n 4,则二等分宽度为Omega(n)的可能性很高;而如果c <1n 4,则很有可能等于0。有相应的阈值结果可用于划分为任何固定数量的部分。 (C)2001 John Wiley&Sons,Inc. [参考:16]

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