Aging properties of an anomalously diffusing particule

Noëlle Pottier

Physica A: Statistical Mechanics and its Applications, 2003, vol. 317, issue 3, 371-382

Abstract: We report new results about the two-time dynamics of an anomalously diffusing classical particle, as described by the generalized Langevin equation with a frequency-dependent noise and the associated friction. The noise is defined by its spectral density proportional to ωδ−1 at low frequencies, with 0<δ<1 (subdiffusion) or 1<δ<2 (superdiffusion). Using Laplace analysis, we derive analytic expressions in terms of Mittag–Leffler functions for the correlation functions of the velocity and of the displacement. While the velocity thermalizes at large times (slowly, in contrast to the standard Brownian motion case δ=1), the displacement never attains equilibrium: it ages. We thus show that this feature of normal diffusion is shared by a subdiffusive or superdiffusive motion. We provide a closed form analytic expression for the fluctuation–dissipation ratio characterizing aging.

Keywords: Fluctuation phenomena; Random processes; Noise and Brownian motion; Stochastic processes (search for similar items in EconPapers)
Date: 2003
References: View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0378437102013614
Full text for ScienceDirect subscribers only. Journal offers the option of making the article available online on Science direct for a fee of $3,000

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:317:y:2003:i:3:p:371-382

DOI: 10.1016/S0378-4371(02)01361-4

Access Statistics for this article

Physica A: Statistical Mechanics and its Applications is currently edited by K. A. Dawson, J. O. Indekeu, H.E. Stanley and C. Tsallis

More articles in Physica A: Statistical Mechanics and its Applications from Elsevier
Bibliographic data for series maintained by Catherine Liu ().