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Approach to self-similarity in Smoluchowski’s coagulation equations. (English) Zbl 1049.35048

Summary: 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 Lévy 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.

MSC:

35B40 Asymptotic behavior of solutions to PDEs
45K05 Integro-partial differential equations
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