Hierarchical Diffusion, Aging and Multifractality
Disordered Systems and Neural Networks
2016-08-31 v3
Abstract
We study toy aging processes in hierarchically decomposed phase spaces where the equilibrium probability distributions are multifractal. We found that the an auto-correlation function, survival-return probability, shows crossover behavior from a power law in the quasi-equilibrium regime () to another power law () in the off-equilibrium regime () obeying a simple scaling law. The exponents and are related with the so called mass exponents which characterize the multifractality.
Keywords
Cite
@article{arxiv.cond-mat/9604033,
title = {Hierarchical Diffusion, Aging and Multifractality},
author = {Hajime Yoshino},
journal= {arXiv preprint arXiv:cond-mat/9604033},
year = {2016}
}
Comments
28 pages, LaTex, 6 PostScript figures. To appear in Journal of Physics A