Scaling limit and aging for directed trap models
Probability
2008-07-09 v3
Abstract
We consider one-dimensional directed trap models and suppose that the trapping times are heavy-tailed. We obtain the inverse of a stable subordinator as scaling limit and prove an aging phenomenon expressed in terms of the generalized arcsine law. These results confirm the status of universality described by Ben Arous and \v{C}ern\'y for a large class of graphs.
Cite
@article{arxiv.0712.1951,
title = {Scaling limit and aging for directed trap models},
author = {Olivier Zindy},
journal= {arXiv preprint arXiv:0712.1951},
year = {2008}
}
Comments
16 pages, accepted for publication in "Markov processes and Related Fields"