English

A Convergence Rate for Extended-Source Internal DLA in the Plane

Probability 2022-01-24 v3

Abstract

Internal DLA (IDLA) is an internal aggregation model in which particles perform random walks from the origin, in turn, and stop upon reaching an unoccupied site. Levine and Peres showed that, when particles start instead from fixed multiple-point distributions, the modified IDLA processes have deterministic scaling limits related to a certain obstacle problem. In this paper, we investigate the convergence rate of this "extended source" IDLA in the plane to its scaling limit. We show that, if δ\delta is the lattice size, fluctuations of the IDLA occupied set are at most of order δ3/5\delta^{3/5} from its scaling limit, with probability at least 1e1/δ2/51-e^{-1/\delta^{2/5}}.

Keywords

Cite

@article{arxiv.2009.09159,
  title  = {A Convergence Rate for Extended-Source Internal DLA in the Plane},
  author = {David Darrow},
  journal= {arXiv preprint arXiv:2009.09159},
  year   = {2022}
}

Comments

26 pages, 8 figures. Edited to resolve typos

R2 v1 2026-06-23T18:39:30.631Z