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Journal of Theoretical Probability
Article . 2021 . Peer-reviewed
License: Springer TDM
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Article . 2022
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https://dx.doi.org/10.48550/ar...
Article . 2021
License: CC BY
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The Lightning Model

The lightning model
Authors: James T. Campbell; A. Deane; A. Quas;
Abstract

We introduce a non-standard model for percolation on the integer lattice $\mathbb Z^2$. Randomly assign to each vertex $a \in \mathbb Z^2$ a potential, denoted $��_a$, chosen independently and uniformly from the interval $[0, 1]$. For fixed $��\in [0,1]$, draw a directed edge from vertex $a$ to a nearest-neighbor vertex $b$ if $��_b < ��_a + ��$, yielding a directed subgraph of the infinite directed graph $\overrightarrow{G}$ whose vertex set is $\mathbb Z^2$, with nearest-neighbor edge set. We define notions of weak and strong percolation for our model, and observe that when $��= 0$ the model fails to percolate weakly, while for $��= 1$ it percolates strongly. We show that there is a positive $��_0$ so that for $0 \le ��\le ��_0$, the model fails to percolate weakly, and that when $��> p_\text{site}$, the critical probability for standard site percolation in $\mathbb Z^2$, the model percolates strongly. We study the number of infinite strongly connected clusters occurring in a typical configuration. We show that for these models of percolation on directed graphs, there are some subtle issues that do not arise for undirected percolation. Although our model does not have the finite energy property, we are able to show that, as in the standard model, the number of infinite strongly connected clusters is almost surely 0, 1 or $\infty$.

To appear: J. Theor. Prob

Keywords

percolation, phase transition, 60K35, integer lattice, Probability (math.PR), FOS: Mathematics, Percolation, Interacting random processes; statistical mechanics type models; percolation theory, infinite clusters, Mathematics - Probability

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green