Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
1154235 | Statistics & Probability Letters | 2009 | 9 Pages |
Abstract
Continuous time random walks impose a random waiting time before each particle jump. Scaling limits of heavy-tailed continuous time random walks are governed by fractional evolution equations. Space-fractional derivatives describe heavy-tailed jumps, and the time-fractional version codes heavy-tailed waiting times. This paper develops scaling limits and governing equations in the case of correlated jumps. For long-range dependent jumps, this leads to fractional Brownian motion or linear fractional stable motion, with the time parameter replaced by an inverse stable subordinator in the case of heavy-tailed waiting times. These scaling limits provide an interesting class of non-Markovian, non-Gaussian self-similar processes.
Related Topics
Physical Sciences and Engineering
Mathematics
Statistics and Probability
Authors
Mark M. Meerschaert, Erkan Nane, Yimin Xiao,