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arXiv 1007.1378cs.DM
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关于随机图中的独立集

On independent sets in random graphs

Amin Coja-Oghlan, Charilaos Efthymiou

摘要:

平均度为d= 2 m/n的稀疏随机图G(n,m)的独立数很可能是α(G(n,m))~ 2nln(d)/d.此外,一个平凡的贪心算法w. h. p.找到一个大小为(1+o(1))n ln(d)/d的独立集,即最大大小的一半。然而,尽管有30年的广泛研究,没有有效的算法已经出现,以产生一个独立集与(1+c)n ln(d)/d,任何固定的c>0。本文证明了随机图中独立集问题的组合结构在独立集的大小k通过点knln(d)/d时发生相变。粗略地说,我们证明了大小为k>(1+c)n ln(d)/d的独立集形成了一个错综复杂的参差不齐的景观,其中局部搜索算法必然会陷入困境。我们说明了这一现象,通过提供一个指数下界的大都会过程,抽样独立集的马尔可夫链。

英文摘要:

The independence number of a sparse random graph G(n,m) of average degree d=2m/n is well-known to be α(G(n,m))~2n ln(d)/d with high probability. Moreover, a trivial greedy algorithm w.h.p. finds an independent set of size (1+o(1)) n ln(d)/d, i.e. half the maximum size. Yet in spite of 30 years of extensive research no efficient algorithm has emerged to produce an independent set with (1+c)n ln(d)/d, for any fixed c>0. In this paper we prove that the combinatorial structure of the independent set problem in random graphs undergoes a phase transition as the size k of the independent sets passes the point k nln(d)/d. Roughly speaking, we prove that independent sets of size k>(1+c)n ln(d)/d form an intricately ragged landscape, in which local search algorithms are bound to get stuck. We illustrate this phenomenon by providing an exponential lower bound for the Metropolis process, a Markov chain for sampling independents sets.

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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