On a model for mass aggregation with maximal size

Ondrej Budáč; Michael Herrmann; Barbara Niethammer; Andrej Spielmann

doi:10.3934/krm.2011.4.427

Article Contents

2011, Volume 4, Issue 2: 427-439. Doi: 10.3934/krm.2011.4.427

This issue Previous Article On a relativistic Fokker-Planck equation in kinetic theory Next Article An asymptotic preserving scheme based on a micro-macro decomposition for Collisional Vlasov equations: diffusion and high-field scaling limits

On a model for mass aggregation with maximal size

1.
Department of Mathematics, Vrije Universiteit Amsterdam, De Boelelaan 1081a, 1081 HV Amsterdam
2.
Department of Mathematics, Saarland University, 66123 Saarbrücken
3.
Oxford Centre of Nonlinear PDE, Mathematical Insitute, University of Oxford, 24-29 St Giles', Oxford OX1 3LB
4.
School of Computer and Communication Sciences, École polytechnique fédérale de Lausanne, CH - 1015 Lausanne

Received: September 30, 2010

Revised: November 30, 2010

Published: May 2011

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Abstract

We study a kinetic mean-field equation for a system of particles with different sizes, in which particles are allowed to coagulate only if their sizes sum up to a prescribed time-dependent value. We prove well-posedness of this model, study the existence of self-similar solutions, and analyze the large-time behavior mostly by numerical simulations. Depending on the parameter $k_0$, which controls the probability of coagulation, we observe two different scenarios: For $k_0>2$ there exist two self-similar solutions to the mean field equation, of which one is unstable. In numerical simulations we observe that for all initial data the rescaled solutions converge to the stable self-similar solution. For $k_0<2$, however, no self-similar behavior occurs as the solutions converge in the original variables to a limit that depends strongly on the initial data. We prove rigorously a corresponding statement for $k_0\in (0,1/3)$. Simulations for the cross-over case $k_0=2$ are not completely conclusive, but indicate that, depending on the initial data, part of the mass evolves in a self-similar fashion whereas another part of the mass remains in the small particles.

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Mathematics Subject Classification: Primary: 45K05; Secondary: 82C22.

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