The evolution of the mixing rate of a simple random walk on the giant component of a random graph
The evolution of the mixing rate of a simple random walk on the giant component of a random graph
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随机图巨大分量上简单随机游走混合率的演化
DOI:
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发表时间:
2008
期刊:
影响因子:
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通讯作者:
B. Reed
中科院分区:
文献类型:
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作者:
N. Fountoulakis;B. Reed
In this article we present a study of the mixing time of a random walk on the largest component of a supercritical random graph, also known as the giant component. We identify local obstructions that slow down the random walk, when the average degree d is at most O($ \sqrt{\ln n} $), proving that the mixing time in this case is Θ((n/d)2) asymptotically almost surely. As the average degree grows these become negligible and it is the diameter of the largest component that takes over, yielding mixing time Θ(n/d) a.a.s.. We proved these results during the 2003–04 academic year. Similar results but for constant d were later proved independently by Benjamini et al. in 3 . © 2008 Wiley Periodicals, Inc. Random Struct. Alg., 2008