English

Sublogarithmic fluctuations for internal DLA

Probability 2013-05-27 v4

Abstract

We consider internal diffusion limited aggregation in dimension larger than or equal to two. This is a random cluster growth model, where random walks start at the origin of the d-dimensional lattice, one at a time, and stop moving when reaching a site that is not occupied by previous walks. It is known that the asymptotic shape of the cluster is a sphere. When the dimension is two or more, we have shown in a previous paper that the inner (resp., outer) fluctuations of its radius is at most of order log(radius)\log(\mathrm{radius}) [resp., log2(radius)\log^2(\mathrm{radius})]. Using the same approach, we improve the upper bound on the inner fluctuation to log(radius)\sqrt{\log(\mathrm{radius})} when d is larger than or equal to three. The inner fluctuation is then used to obtain a similar upper bound on the outer fluctuation.

Keywords

Cite

@article{arxiv.1011.4592,
  title  = {Sublogarithmic fluctuations for internal DLA},
  author = {Amine Asselah and Alexandre Gaudillière},
  journal= {arXiv preprint arXiv:1011.4592},
  year   = {2013}
}

Comments

Published in at http://dx.doi.org/10.1214/11-AOP735 the Annals of Probability (http://www.imstat.org/aop/) by the Institute of Mathematical Statistics (http://www.imstat.org)

R2 v1 2026-06-21T16:46:41.203Z