Some results about ergodicity in shape for a crystal growth model
Fran\c{c}ois Ezanno

TL;DR
This paper investigates the conditions under which a crystal growth Markov model exhibits ergodicity or transience, providing improved criteria and detailed asymptotic behavior in a specific case.
Contribution
It improves existing conditions for ergodicity and transience in a crystal growth model and offers a detailed analysis of asymptotic behavior in a particular scenario.
Findings
Established improved conditions for ergodicity.
Identified conditions leading to transience.
Described asymptotic behavior in a special case.
Abstract
We study a crystal growth Markov model proposed by Gates and Westcott (\cite{Kinetics1}, \cite{Kinetics2}). This is an aggregation process where particles are packed in a square lattice accordingly to prescribed deposition rates. This model is parametrized by three values corresponding to depositions on three different types of sites. The main problem is to determine, for the shape of the crystal, when recurrence and when ergodicity do occur. In \cite{AMS} and \cite{MarkovModels} sufficient conditions are given both for ergodicity and transience. We establish some improved conditions and give a precise description of the asymptotic behavior in a special case.
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Taxonomy
TopicsStochastic processes and statistical mechanics · Theoretical and Computational Physics · Solidification and crystal growth phenomena
