Stable Distributions in Stochastic Fragmentation

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We investigate a class of stochastic fragmentation processes involving stable and unstable fragments. We solve analytically for the fragment length density and find that a generic algebraic divergence characterizes its small-size tail. Furthermore, the entire range of acceptable values of decay exponent consistent with the length conservation can be realized. We show that the stochastic fragmentation process is non-self-averaging as moments exhibit significant sample-to-sample fluctuations. Additionally, we find that the distributions of the moments and of extremal characteristics possess an infinite set of progressively weaker singularities.
11 pages, 5 figures

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Statistical Mechanics, Disordered Systems and Neural Networks

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http://salesiana.dossiersoluciones.com/handle/123456789/18207

Consulte el texto completo en el siguiente enlace:

https://arxiv.org/abs/cond-mat/0108547
 http://arxiv.org/abs/cond-mat/0108547
 J. Phys. A 37, 2863 (2004)
 doi:10.1088/0305-4470/37/8/002

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arXiv