From logarithmic to subdiffusive polynomial fluctuations for internal DLA and related growth models
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Amine Asselah [1] ; Alexandre Gaudillière [2]
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[1] Université Paris-Est
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[2] Université de Provence
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- Localización: Annals of probability: An official journal of the Institute of Mathematical Statistics, ISSN 0091-1798, Vol. 41, Nº. 3, 1, 2013, págs. 1115-1159
- Idioma: inglés
- DOI: 10.1214/12-AOP762
- Texto completo no disponible (Saber más ...)
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Resumen
We consider a cluster growth model on Zd, called internal diffusion limited aggregation (internal DLA). In this model, random walks start at the origin, one at a time, and stop moving when reaching a site not occupied by previous walks. It is known that the asymptotic shape of the cluster is spherical. When dimension is 2 or more, we prove that fluctuations with respect to a sphere are at most a power of the logarithm of its radius in dimension d≥2. In so doing, we introduce a closely related cluster growth model, that we call the flashing process, whose fluctuations are controlled easily and accurately. This process is coupled to internal DLA to yield the desired bound. Part of our proof adapts the approach of Lawler, Bramson and Griffeath, on another space scale, and uses a sharp estimate (written by Blachère in our Appendix) on the expected time spent by a random walk inside an annulus.
