English

Persistence in a Stationary Time-series

Statistical Mechanics 2009-11-07 v1

Abstract

We study the persistence in a class of continuous stochastic processes that are stationary only under integer shifts of time. We show that under certain conditions, the persistence of such a continuous process reduces to the persistence of a corresponding discrete sequence obtained from the measurement of the process only at integer times. We then construct a specific sequence for which the persistence can be computed even though the sequence is non-Markovian. We show that this may be considered as a limiting case of persistence in the diffusion process on a hierarchical lattice.

Keywords

Cite

@article{arxiv.cond-mat/0106365,
  title  = {Persistence in a Stationary Time-series},
  author = {Satya N. Majumdar and Deepak Dhar},
  journal= {arXiv preprint arXiv:cond-mat/0106365},
  year   = {2009}
}

Comments

8 pages revtex

R2 v1 2026-07-22T10:23:14.152Z