Nonergodicity of a Time Series Obeying Lévy Statistics
Abstract
Timeaveraged autocorrelation functions of a dichotomous random process switching between 1 and 0 and governed by wide power law sojourn time distribution are studied. Such a process, called a Lévy walk, describes dynamical behaviors of many physical systems, fluorescence intermittency of semiconductor nanocrystals under continuous laser illumination being one example. When the mean sojourn time diverges the process is nonergodic. In that case, the time average autocorrelation function is not equal to the ensemble averaged autocorrelation function, instead it remains random even in the limit of long measurement time. Several approximations for the distribution of this random autocorrelation function are obtained for different parameter ranges, and favorably compared to Monte Carlo simulations. Nonergodicity of the power spectrum of the process is briefly discussed, and a nonstationary WienerKhintchine theorem, relating the correlation functions and the power spectrum is presented. The considered situation is in full contrast to the usual assumptions of ergodicity and stationarity.
 Publication:

Journal of Statistical Physics
 Pub Date:
 January 2006
 DOI:
 10.1007/s1095500580769
 arXiv:
 arXiv:condmat/0504454
 Bibcode:
 2006JSP...122..137M
 Keywords:

 Nonergodicity;
 Time series;
 Lévy statistics;
 Power law;
 Correlation function;
 Statistical Mechanics
 EPrint:
 15 pages, 10 figures