English

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 txt^{-x} in the quasi-equilibrium regime (t\twt\ll\tw) to another power law tλt^{-\lambda} (λx\lambda \geq x) in the off-equilibrium regime (t\twt\gg\tw) obeying a simple t/\twt/\tw scaling law. The exponents xx and λ\lambda 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