Nucleation and growth in two dimensions
; Smith, Paul Otros responsables
Fecha
2019-10-22
Editorial
John Wiley & Sons Inc
Revista
Random Structures Algorithms
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ISSN
1042-9832
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Idioma
Inglés
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Resumen
We consider a dynamical process on a graph G, in which vertices are infected (randomly) at a rate which depends on the number of their neighbors that are already infected. This model includes bootstrap percolation and first-passage percolation as its extreme points. We give a precise description of the evolution of this process on the graph Z^2, significantly sharpening results of Dehghanpour and Schonmann. In particular, we determine the typical infection time up to a constant factor for almost all natural values of the parameters, and in a large range we obtain a stronger, sharp threshold.
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