Abstract
We investigate three types of internal diffusion limited aggregation (IDLA) models. These models are based on simple random walks on with infinitely many sources that are the points of the vertical axis . 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 , based on an IDLA protocol, which is invariant in distribution w.r.t. vertical translations.
Funding Statement
This work was partially supported by the French ANR grant ASPAG (ANR-17-CE40-0017), by the French RT GeoSto (RT-3477), and by the French PEPS-JCJC 2019.
Acknowledgements
We thank our Ph.D. student, Keenan Penner, for pointing us a mistake in our paper and two anonymous referees for suggestions (in particular for pointing us the references [34, 35]) and improvements of the manuscript.
Citation
Nicolas Chenavier. David Coupier. Arnaud Rousselle. "The bi-dimensional Directed IDLA forest." Ann. Appl. Probab. 33 (3) 2247 - 2290, June 2023. https://doi.org/10.1214/22-AAP1865
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