Stable distribution in fragmentation processes

Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/323

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DC Field	Value	Language
dc.contributor.author	Rodgers, GJ	en
dc.contributor.author	Hassan, MK	-
dc.coverage.spatial	12	en
dc.date.accessioned	2006-10-30T15:01:56Z	-
dc.date.available	2006-10-30T15:01:56Z	-
dc.date.issued	1996	-
dc.identifier.citation	Physica A: Statistical and Theoretical Physics 233(1-2) 19-30, Nov 1996	-
dc.identifier.uri	http://arxiv.org/abs/cond-mat/9604086	en
dc.identifier.uri	http://bura.brunel.ac.uk/handle/2438/323	-
dc.description.abstract	We introduce three models of fragmentation in which the largest fragment in the system can be broken at each time step with a fixed probability, p. We solve these models exactly in the long time limit to reveal stable time invariant (scaling) solutions which depend on p and the precise details of the fragmentation process. Various features of these models are compared with those of conventional fragmentation models. To get Figures e-mail to G.J. Rodgers@Brunel.ac.uk	en
dc.format.extent	278208 bytes	-
dc.format.mimetype	application/pdf	-
dc.language.iso	en	-
dc.publisher	Elsevier	-
dc.subject	Condensed matter	en
dc.subject	Materials theory	en
dc.subject	Fragmentation	-
dc.subject	Scaling	-
dc.subject	Statistical physics	-
dc.title	Stable distribution in fragmentation processes	en
dc.type	Preprint	en
dc.identifier.doi	http://dx.doi.org/10.1016/S0378-4371(96)00234-8	-
Appears in Collections:	Mathematical Physics Dept of Mathematics Research Papers Mathematical Sciences

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