A centra-limit theorem for conservative fragmentation chain
Camille No\^us, Sylvain Rubenthaler

TL;DR
This paper establishes a central-limit theorem for a conservative fragmentation process, providing an exact rate of convergence for the empirical measure of small fragments, advancing understanding of the process's probabilistic behavior.
Contribution
It introduces a central-limit theorem for the empirical measure of fragments, offering precise convergence rates under specific assumptions, extending prior convergence and rate bounds.
Findings
Proves a central-limit theorem for the fragmentation process.
Derives an exact rate of convergence for the empirical measure.
Extends previous results on convergence bounds.
Abstract
We are interested in a fragmentation process. We observe fragments frozen when their sizes are less than {\epsilon} ({\epsilon} > 0). It is known ([BM05]) that the empirical measure of these fragments converges in law, under some renormalization. In [HK11], the authors show a bound for the rate of convergence. Here, we show a central-limit theorem, under some assumptions. This gives us an exact rate of convergence.
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Taxonomy
TopicsStochastic processes and statistical mechanics · Theoretical and Computational Physics · Markov Chains and Monte Carlo Methods
