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Ultraslow scaled Brownian motion

  • Anna S. Bodrova*
  • , Aleksei V. Chechkin
  • , Andrey G. Cherstvy
  • , Ralf Metzler
  • *Tämän työn vastaava kirjoittaja

    Tutkimustuotos: ArtikkeliTieteellinenvertaisarvioitu

    73 Sitaatiot (Scopus)

    Abstrakti

    We define and study in detail utraslow scaled Brownian motion (USBM) characterized by a time dependent diffusion coefficient of the form D(t) similar or equal to 1/t. For unconfined motion the mean squared displacement (MSD) of USBM exhibits an ultraslow, logarithmic growth as function of time, in contrast to the conventional scaled Brownian motion. In a harmonic potential the MSD of USBM does not saturate but asymptotically decays inverse-proportionally to time, reflecting the highly non-stationary character of the process. We show that the process is weakly non-ergodic in the sense that the time averaged MSD does not converge to the regular MSD even at long times, and for unconfined motion combines a linear lag time dependence with a logarithmic term. The weakly non-ergodic behaviour is quantified in terms of the ergodicity breaking parameter. The USBM process is also shown to be ageing: observables of the system depend on the time gap between initiation of the test particle and start of the measurement of its motion. Our analytical results are shown to agree excellently with extensive computer simulations.

    AlkuperäiskieliEnglanti
    Artikkeli063038
    Sivumäärä16
    JulkaisuNew Journal of Physics
    Vuosikerta17
    DOI - pysyväislinkit
    TilaJulkaistu - 29 kesäk. 2015
    OKM-julkaisutyyppiA1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä

    Rahoitus

    The authors thank NV Brilliantov, A Godec, IM Sokolov and F Spahn for stimulating discussions. The simulations were run at the Chebyshev supercomputer of the Moscow State University. This work was supported by the EUIRSES DCP-PhysBio N269139 project, the Academy of Finland (Suomen Akatemia, Finland Distinguished Professorship to RM), Berlin Mathematical Society (to AVC) and the Deutsche Forschungsgemeinschaft (DFG Grant CH707/5-1 to AGC). We acknowledge financial support of the Deutsche Forschungsgemeinschaft (DFG) and the Open Access Publication Fund of the University of Potsdam.

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