English

Memory-multi-fractional Brownian motion with continuous correlations

Statistical Mechanics 2023-08-04 v2 Biological Physics Quantitative Methods

Abstract

We propose a generalization of the widely used fractional Brownian motion (FBM), memory-multi-FBM (MMFBM), to describe viscoelastic or persistent anomalous diffusion with time-dependent memory exponent α(t)\alpha(t) in a changing environment. In MMFBM the built-in, long-range memory is continuously modulated by α(t)\alpha(t). We derive the essential statistical properties of MMFBM such as response function, mean-squared displacement (MSD), autocovariance function, and Gaussian distribution. In contrast to existing forms of FBM with time-varying memory exponents but reset memory structure, the instantaneous dynamic of MMFBM is influenced by the process history, e.g., we show that after a step-like change of α(t)\alpha(t) the scaling exponent of the MSD after the α\alpha-step may be determined by the value of α(t)\alpha(t) before the change. MMFBM is a versatile and useful process for correlated physical systems with non-equilibrium initial conditions in a changing environment.

Keywords

Cite

@article{arxiv.2303.01551,
  title  = {Memory-multi-fractional Brownian motion with continuous correlations},
  author = {Wei Wang and Michal Balcerek and Krzysztof Burnecki and Aleksei V. Chechkin and Skirmantas Janusonis and Jakub Slezak and Thomas Vojta and Agnieszka Wylomanska and Ralf Metzler},
  journal= {arXiv preprint arXiv:2303.01551},
  year   = {2023}
}

Comments

15 pages, 10 figures, RevTeX

R2 v1 2026-06-28T08:58:10.120Z