title: Subdiffusion and long-time anticorrelations in a stochastic single file.
abstract: The subdiffusion of a stochastic single file is interpreted as a jumping process. Contrary to the current continuous time random walk models, its statistics is characterized by finite averages of the jumping times and square displacements. Subdiffusion is then related to a persistent anticorrelation of the jump sequences. In continuous time representation, this corresponds to negative power-law velocity autocorrelations, attributable to the restricted geometry of the file diffusion.
authors.affiliation: Dipartimento di Fisica, Università di Camerino, I-62032 Camerino, Italy.
authors.forename: Fabio
authors.initials: F
authors.lastname: Marchesoni
authors.forename: Alessandro
authors.initials: A
authors.lastname: Taloni