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On the time constant of high dimensional first passage percolation, revisited

Probability 2025-01-22 v1

Abstract

In [2], it was claimed that the time constant μd(e1)\mu_{d}(e_{1}) for the first-passage percolation model on Zd\mathbb Z^{d} is μd(e1)logd/(2ad)\mu_{d}(e_{1}) \sim \log d/(2ad) as dd\to \infty, if the passage times (τe)eEd(\tau_{e})_{e\in \mathbb E^{d}} are i.i.d., with a common c.d.f. FF satisfying F(x)xaClogx\left|\frac{F(x)}{x}-a\right| \le \frac{C}{|\log x|} for some constants a,Ca, C and sufficiently small xx. However, the proof of the upper bound, namely, Equation (2.1) in [2] \begin{align} \limsup_{d\to\infty} \frac{\mu_{d}(e_{1})ad}{\log d} \le \frac{1}{2} \end{align} is incorrect. In this article, we provide a different approach that establishes this inequality. As a side product of this new method, we also show that the variance of the non-backtracking passage time to the first hyperplane is of order o((logd/d)2)o\big((\log d/d)^{2}\big) as dd\to \infty in the case of the when the edge weights are exponentially distributed.

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Cite

@article{arxiv.2501.11589,
  title  = {On the time constant of high dimensional first passage percolation, revisited},
  author = {Antonio Auffinger and Si Tang},
  journal= {arXiv preprint arXiv:2501.11589},
  year   = {2025}
}

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14 pages