Containing Internal Diffusion Limited Aggregation

Details Containing Internal Diffusion Limited Aggregation Containing Internal Diffusion Limited Aggregation

2011-11-02

arxiv.org/abs/1111.0486v1

Mathematics

Probability

11 pages, 1 figure

Scientific paper

Internal Diffusion Limited Aggregation (IDLA) is a model that describes the growth of a random aggregate of particles from the inside out. Shellef proved that IDLA processes on supercritical percolation clusters of integer-lattices fill Euclidean balls, with high probability. In this article, we complete the picture and prove a limit-shape theorem for IDLA on such percolation clusters, by providing the corresponding upper bound. The technique to prove upper bounds is new and robust: it only requires the existence of a "good" lower bound. Specifically, this way of proving upper bounds on IDLA clusters is more suitable for random environments than previous ways, since it does not harness harmonic measure estimates.

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