Limit theorems for continuous-time random walks with infinite mean waiting times
Top Cited Papers
- 1 September 2004
- journal article
- Published by Cambridge University Press (CUP) in Journal of Applied Probability
- Vol. 41 (3) , 623-638
- https://doi.org/10.1239/jap/1091543414
Abstract
A continuous-time random walk is a simple random walk subordinated to a renewal process used in physics to model anomalous diffusion. In this paper we show that, when the time between renewals has infinite mean, the scaling limit is an operator Lévy motion subordinated to the hitting time process of a classical stable subordinator. Density functions for the limit process solve a fractional Cauchy problem, the generalization of a fractional partial differential equation for Hamiltonian chaos. We also establish a functional limit theorem for random walks with jumps in the strict generalized domain of attraction of a full operator stable law, which is of some independent interest.Keywords
This publication has 30 references indexed in Scilit:
- The random walk's guide to anomalous diffusion: a fractional dynamics approachPublished by Elsevier ,2000
- Chance and StabilityPublished by Walter de Gruyter GmbH ,1999
- Multivariate geometric stable distributions in financial applicationsMathematical and Computer Modelling, 1999
- Weak Limits for Multivariate Random SumsJournal of Multivariate Analysis, 1998
- On moments and tail behavior of v-stable random variablesStatistics & Probability Letters, 1996
- Transport aspects in anomalous diffusion: Lévy walksPhysical Review A, 1989
- Random walks with infinite spatial and temporal momentsJournal of Statistical Physics, 1982
- Limit theorems for occupation times of Markov processesProbability Theory and Related Fields, 1971
- Random Walks on Lattices. IIJournal of Mathematical Physics, 1965
- Weak convergence of stochastic processes defined on semi-infinite time intervalsProceedings of the American Mathematical Society, 1963