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arxiv: 1804.08886 · v1 · pith:BNEFQMNPnew · submitted 2018-04-24 · 🧮 math.AP · math-ph· math.MP

Self-similar asymptotic behavior for the solutions of a linear coagulation equation

classification 🧮 math.AP math-phmath.MP
keywords equationsigmalinearaccordingasymptoticasymptoticallydifferentdistribution
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In this paper we consider the long time asymptotics of a linear version of the Smoluchowski equation which describes the evolution of a tagged particle moving at constant speed in a random distribution of fixed particles. The volumes $v$ of the particles are independently distributed according to a probability distribution which decays asymptotically as a power law $v^{-\sigma}$. The validity of the equation has been rigorously proved in \cite{NoV} for values of the exponent $\sigma>3$. The solutions of this equation display a rich structure of different asymptotic behaviours according to the different values of the exponent $\sigma$. Here we show that for $\frac{5}{3}<\sigma<2$ the linear Smoluchowski equation is well posed and that there exists a unique self-similar profile which is asymptotically stable.

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