arXiv · 1501.03579
Percolation of averages in the stochastic mean field model: the near-supercritical regime
Abstract
For a complete graph of size $n$, assign each edge an i.i.d.\ exponential variable with mean $n$. For $λ>0$, consider the length of the longest path whose average weight is at most $λ$. It was shown by Aldous (1998) that the length is of order $\log n$ for $λ< 1/\mathrm{e}$ and of order $n$ for $λ> 1/\mathrm{e}$. In this paper, we study the near-supercritical regime where $λ= \mathrm{e}^{-1} +η$ with $η>0$ a small fixed number. We show that there exist two absolute constants $c^*, C^*>0$ such that with high probability the length is in between $n \mathrm{e}^{-C^*/\sqrtη}$ and $n \mathrm{e}^{-c^*/\sqrtη}$. Our result corrects a non-rigorous prediction of Aldous (2005).
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Jian Ding, Subhajit Goswami. 2015-11-19. Percolation of averages in the stochastic mean field model: the near-supercritical regime. https://doi.org/10.1214/ejp.v20-4111
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