How long does it take for Internal DLA to forget its initial profile?

Authors
Levine, L 

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Type
Article
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Abstract

Internal DLA is a discrete model of a moving interface. On the cylinder graph ZN×Z, a particle starts uniformly on ZN×{0} and performs simple random walk on the cylinder until reaching an unoccupied site in ZN×Z≥0, which it occupies forever. This operation defines a Markov chain on subsets of the cylinder. We first show that a typical subset is rectangular with at most logarithmic fluctuations. We use this to prove that two Internal DLA chains started from different typical subsets can be coupled with high probability by adding order N2log⁡N particles. For a lower bound, we show that at least order N2 particles are required to forget which of two independent typical subsets the process started from.

Publication Date
2019
Online Publication Date
2018-10-31
Acceptance Date
Keywords
Internal DLA, Mixing, Logarithmic fluctuations, Cylinder graph, 60J05
Journal Title
Probability Theory and Related Fields
Journal ISSN
0178-8051
1432-2064
Volume Title
174
Publisher
Springer Science and Business Media LLC