On the Critical Value for ‘Percolation’ of Minimum-Weight Trees in the Mean-Field Distance Model

Author:

ALDOUS DAVID

Abstract

Consider the complete n-graph with independent exponential (mean n) edge-weights. Let M(c, n) be the maximal size of subtree for which the average edge-weight is at most c. It is shown that M(c, n) makes the transition from o(n) to Ω(n) around some critical value c(0), which can be specified in terms of a fixed point of a mapping on probability distributions.

Publisher

Cambridge University Press (CUP)

Subject

Applied Mathematics,Computational Theory and Mathematics,Statistics and Probability,Theoretical Computer Science

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Percolation of averages in the stochastic mean field model: the near-supercritical regime;Electronic Journal of Probability;2015-01-01

2. Scaling window for mean-field percolation of averages;The Annals of Probability;2013-11-01

3. The Min Mean-Weight Cycle in a Random Network;Combinatorics, Probability and Computing;2013-07-22

4. A survey of max-type recursive distributional equations;The Annals of Applied Probability;2005-05-01

5. Percolation–like scaling exponents for minimal paths and trees in the stochastic mean field model;Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences;2005-03-08

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