Analytical Results for Nontrivial Polydispersity Exponents in Aggregation Models
St\'ephane Cueille, Cl\'ement Sire (Univ. Paul Sabatier-CNRS,, Toulouse, France)

TL;DR
This paper analyzes a mean-field aggregation model using the Smoluchowski equation, deriving the mass distribution exponent through perturbative methods and discussing potential applications to turbulence.
Contribution
It provides new analytical results for the polydispersity exponents in aggregation models, including both perturbative and non-perturbative approaches.
Findings
Derived the scaling exponent $ au$ for the mass distribution.
Applied perturbative and non-perturbative expansions to the model.
Discussed potential relevance to two-dimensional turbulence.
Abstract
We study a Smoluchowski equation describing a simple mean-field model of particles moving in dimensions and aggregating with conservation of `mass' ( is the particle radius). In the scaling regime the scaled mass distribution , and can be computed by perturbative and non perturbative expansions. A possible application to two-dimensional decaying turbulence is briefly discussed.
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Taxonomy
TopicsStatistical Methods and Bayesian Inference · Statistical Distribution Estimation and Applications · Stochastic processes and statistical mechanics
