K-processes, scaling limit and aging for the trap model in the complete graph
| dc.creator | Fontes, L. R. G. | |
| dc.creator | Mathieu, P. | |
| dc.date | 2008-08-26 | |
| dc.date.accessioned | 2026-07-07T09:58:28Z | |
| dc.date.available | 2026-07-07T09:58:28Z | |
| dc.description | We study K-processes, which are Markov processes in a denumerable state space, all of whose elements are stable, with the exception of a single state, starting from which the process enters finite sets of stable states with uniform distribution. We show how these processes arise, in a particular instance, as scaling limits of the trap model in the complete graph, and subsequently derive aging results for those models in this context. | |
| dc.description | Published in at http://dx.doi.org/10.1214/07-AOP360 the Annals of Probability (http://www.imstat.org/aop/) by the Institute of Mathematical Statistics (http://www.imstat.org) | |
| dc.identifier | https://arxiv.org/abs/0808.3494 | |
| dc.identifier | http://arxiv.org/abs/0808.3494 | |
| dc.identifier | Annals of Probability 2008, Vol. 36, No. 4, 1322-1358 | |
| dc.identifier | doi:10.1214/07-AOP360 | |
| dc.identifier.uri | http://salesiana.dossiersoluciones.com/handle/123456789/167727 | |
| dc.subject | Probability | |
| dc.subject | 60K35, 60K37, 82C44 (Primary) | |
| dc.title | K-processes, scaling limit and aging for the trap model in the complete graph | |
| dc.type | text |