Asymptotics of the odometer function for the internal Diffusion Limited Aggregation model
Cyrille Lucas (MODAL'x)

TL;DR
This paper provides precise asymptotic analysis of the odometer function in the internal Diffusion Limited Aggregation model, enhancing understanding of its behavior and offering a new proof of a key time-scale result.
Contribution
It offers detailed asymptotics for the odometer function and presents an alternative proof for a significant time-scale result in IDLA.
Findings
Asymptotic formulas for the odometer function derived
New proof of Lawler, Bramson, and Griffeath's time-scale result
Improved understanding of IDLA growth dynamics
Abstract
We present precise asymptotics of the odometer function for the internal Diffusion Limited Aggregation model. These results provide a better understanding of this function whose importance was demonstrated by Levine and Peres. We derive a different proof of a time-scale result by Lawler, Bramson and Griffeath.
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Taxonomy
TopicsStochastic processes and statistical mechanics · Theoretical and Computational Physics · Random Matrices and Applications
