English

Records in Fractal Stochastic Processes

Data Analysis, Statistics and Probability 2017-04-17 v1 Chaotic Dynamics

Abstract

The records statistics in stationary and non-stationary fractal time series is studied extensively. By calculating various concepts in record dynamics, we find some interesting results. In stationary fractional Gaussian noises, we observe a universal behavior for the whole range of Hurst exponents. However, for non-stationary fractional Brownian motions the record dynamics is crucially dependent on the memory, which plays the role of a non-stationarity index, here. Indeed, the deviation from the results of the stationary case increases by increasing the Hurst exponent in fractional Brownian motions. We demonstrate that the memory governs the dynamics of the records as long as it causes non-stationarity in fractal stochastic processes, otherwise, it has no impact on the records statistics.

Keywords

Cite

@article{arxiv.1704.04377,
  title  = {Records in Fractal Stochastic Processes},
  author = {A. Aliakbari and P. Manshour and M. J. Salehi},
  journal= {arXiv preprint arXiv:1704.04377},
  year   = {2017}
}

Comments

7 pages, 7 figures

R2 v1 2026-06-22T19:17:23.010Z