Approach to self-similarity in Smoluchowski's coagulation equations

Details Approach to self-similarity in Smoluchowski's coagulation equations Approach to self-similarity in Smoluchowski's coagulation equations

2003-06-24

arxiv.org/abs/nlin/0306047v1

Nonlinear Sciences

Adaptation and Self-Organizing Systems

Latex2e, 42 pages with 1 figure

Scientific paper

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.

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