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Random Structures and Algorithms
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Random Structures and Algorithms
Article . 2018 . Peer-reviewed
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Line percolation

Authors: Paul Balister; Béla Bollobás; Jonathan Lee; Bhargav P. Narayanan;

Line percolation

Abstract

AbstractWe study a new geometric bootstrap percolation model, line percolation, on the d‐dimensional integer grid . In line percolation with infection parameter r, infection spreads from a subset of initially infected lattice points as follows: if there exists an axis‐parallel line L with r or more infected lattice points on it, then every lattice point of on L gets infected, and we repeat this until the infection can no longer spread. The elements of the set A are usually chosen independently, with some density p, and the main question is to determine , the density at which percolation (infection of the entire grid) becomes likely. In this paper, we determine up to a multiplicative factor of and up to a multiplicative constant as for every fixed . We also determine the size of the minimal percolating sets in all dimensions and for all values of the infection parameter.

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Keywords

polynomial method, 60K35 (Primary) 60C05 (Secondary), Probability (math.PR), FOS: Mathematics, Mathematics - Combinatorics, Interacting random processes; statistical mechanics type models; percolation theory, Combinatorics (math.CO), critical probability, bootstrap percolation, 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!
10
Top 10%
Top 10%
Top 10%
Green
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