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MiS Preprint
62/2003

Approach to self-similarity in Smoluchowski's coagulation equations

Govind Menon and Robert L. Pego

Abstract

We consider the approach to self-similarity (or dynamical scaling) in Smoluchowski's equations of coagulation for the solvable kernels $K(x,y)=2,x+y$ and $xy$. In addition to the known self-similar solutions with exponential tails, there are one-parameter families of solutions with algebraic decay, whose form is related to heavy-tailed distributions well-known in probability theory. For $K=2$ the size distribution is Mittag-Leffler, and for $K=x+y$ and $K=xy$ it is a power-law rescaling of a maximally skewed $\alpha$-stable Levy distribution.

We characterize completely the domains of attraction of all self-similar solutions under weak convergence of measures. Our results are analogous to the classical characterization of stable distributions in probability theory. The proofs are simple, relying on the Laplace transform and a fundamental rigidity lemma for scaling limits.

Received:
Jul 11, 2003
Published:
Jul 11, 2003
Keywords:
dynamic scaling, regular variation, agglomeration, coalescence, self-preserving spectra, heavy tails, mittag-leffler function, levy flights

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