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Ergodic Measure and Potential Control of Anomalous Diffusion.
Wen, Bao; Li, Ming-Gen; Liu, Jian; Bao, Jing-Dong.
Afiliação
  • Wen B; Institutes of Science and Development, Chinese Academy of Sciences, Beijing 100190, China.
  • Li MG; School of Public Policy and Management, University of Chinese Academy of Sciences, Beijing 100049, China.
  • Liu J; Department of Physics, Beijing Normal University, Beijing 100875, China.
  • Bao JD; Department of Physics, Beijing Technology and Business University, Beijing 100048, China.
Entropy (Basel) ; 25(7)2023 Jun 30.
Article em En | MEDLINE | ID: mdl-37509959
ABSTRACT
In statistical mechanics, the ergodic hypothesis (i.e., the long-time average is the same as the ensemble average) accompanying anomalous diffusion has become a continuous topic of research, being closely related to irreversibility and increasing entropy. While measurement time is finite for a given process, the time average of an observable quantity might be a random variable, whose distribution width narrows with time, and one wonders how long it takes for the convergence rate to become a constant. This is also the premise of ergodic establishment, because the ensemble average is always equal to the constant. We focus on the time-dependent fluctuation width for the time average of both the velocity and kinetic energy of a force-free particle described by the generalized Langevin equation, where the stationary velocity autocorrelation function is considered. Subsequently, the shortest time scale can be estimated for a system transferring from a stationary state to an effective ergodic state. Moreover, a logarithmic spatial potential is used to modulate the processes associated with free ballistic diffusion and the control of diffusion, as well as the minimal realization of the whole power-law regime. The results presented suggest that non-ergodicity mimics the sparseness of the medium and reveals the unique role of logarithmic potential in modulating diffusion behavior.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Entropy (Basel) Ano de publicação: 2023 Tipo de documento: Article País de afiliação: China

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Entropy (Basel) Ano de publicação: 2023 Tipo de documento: Article País de afiliação: China