The bi-dimensional Directed IDLA forest

Nicolas Chenavier; David Coupier; Arnaud Rousselle

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arXiv · 2009.12090

The bi-dimensional Directed IDLA forest

Nicolas Chenavier·David Coupier·Arnaud Rousselle

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Abstract

We investigate three types of Internal Diffusion Limited Aggregation (IDLA) models. These models are based on simple random walks on $\mathbf{Z}^2$ with infinitely many sources that are the points of the vertical axis $I(\infty)=\{0\}\times\mathbf{Z}$. Various properties are provided, such as stationarity, mixing, stabilization and shape theorems. Our results allow us to define a new directed (w.r.t. the horizontal direction) random forest spanning $\mathbf{Z}^2$, based on an IDLA protocol, which is invariant in distribution w.r.t. vertical translations.

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Nicolas Chenavier, David Coupier, Arnaud Rousselle. 2020-09-25. The bi-dimensional Directed IDLA forest. https://arxiv.org/abs/2009.12090

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