Litcius/Paper detail

Memory-multi-fractional Brownian motion with continuous correlations

Wei Wang, Michał Balcerek, Krzysztof Burnecki, Aleksei V. Chechkin, Skirmantas Janušonis, Jakub Ślęzak, Thomas Vojta, Agnieszka Wyłomańska, Ralf Metzler

2023Physical Review Research33 citationsDOIOpen Access PDF

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) in a changing environment. In MMFBM the built-in, long-range memory is continuously modulated by α(t). We derive the essential statistical properties of MMFBM such as its response function, mean-squared displacement (MSD), autocovariance function, and Gaussian distribution. In contrast to existing forms of FBM with time-varying memory exponents but a reset memory structure, the instantaneous dynamic of MMFBM is influenced by the process history, e.g., we show that after a steplike change of α(t) the scaling exponent of the MSD after the α step may be determined by the value of α(t) before the change. MMFBM is a versatile and useful process for correlated physical systems with nonequilibrium initial conditions in a changing environment.

Topics & Concepts

Fractional Brownian motionStatistical physicsBrownian motionAutocovarianceMathematicsPhysicsMathematical analysisStatisticsFourier transformFractional Differential Equations Solutionsstochastic dynamics and bifurcationLipid Membrane Structure and Behavior