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April 2010 Asymptotic behavior of solutions of the fragmentation equation with shattering: An approach via self-similar Markov processes
Bénédicte Haas
Ann. Appl. Probab. 20(2): 382-429 (April 2010). DOI: 10.1214/09-AAP622

Abstract

The subject of this paper is a fragmentation equation with nonconservative solutions, some mass being lost to a dust of zero-mass particles as a consequence of an intensive splitting. Under some assumptions of regular variation on the fragmentation rate, we describe the large time behavior of solutions. Our approach is based on probabilistic tools: the solutions to the fragmentation equation are constructed via nonincreasing self-similar Markov processes that continuously reach 0 in finite time. Our main probabilistic result describes the asymptotic behavior of these processes conditioned on nonextinction and is then used for the solutions to the fragmentation equation.

We note that two parameters significantly influence these large time behaviors: the rate of formation of “nearly-1 relative masses” (this rate is related to the behavior near 0 of the Lévy measure associated with the corresponding self-similar Markov process) and the distribution of large initial particles. Correctly rescaled, the solutions then converge to a nontrivial limit which is related to the quasi-stationary solutions of the equation. Besides, these quasi-stationary solutions, or, equivalently, the quasi-stationary distributions of the self-similar Markov processes, are fully described.

Citation

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Bénédicte Haas. "Asymptotic behavior of solutions of the fragmentation equation with shattering: An approach via self-similar Markov processes." Ann. Appl. Probab. 20 (2) 382 - 429, April 2010. https://doi.org/10.1214/09-AAP622

Information

Published: April 2010
First available in Project Euclid: 9 March 2010

zbMATH: 1193.60054
MathSciNet: MR2650037
Digital Object Identifier: 10.1214/09-AAP622

Subjects:
Primary: 60G18 , 60J75 , 82C40

Keywords: fragmentation equation , quasi-stationary solutions , regular variation , scaling limits , Self-similar Markov processes

Rights: Copyright © 2010 Institute of Mathematical Statistics

Vol.20 • No. 2 • April 2010
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