A stochastic min-driven coalescence process and its hydrodynamical limit
Anne-Laure Basdevant (IMT), Philippe Laurencot (IMT), James R. Norris, (DPMMS), Clement Rau (IMT)

TL;DR
This paper studies a stochastic particle system where particles merge with the smallest particle, proving its convergence to a deterministic limit and analyzing the minimal size evolution.
Contribution
It introduces a new stochastic coalescence process constrained by minimal size and establishes its hydrodynamical limit.
Findings
Convergence of the stochastic process to a deterministic PDE.
Characterization of the minimal size evolution over time.
Insights into the behavior of constrained coagulation systems.
Abstract
A stochastic system of particles is considered in which the sizes of the particles increase by successive binary mergers with the constraint that each coagulation event involves a particle with minimal size. Convergence of a suitably renormalised version of this process to a deterministic hydrodynamical limit is shown and the time evolution of the minimal size is studied for both deterministic and stochastic models.
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