Acta Physica Polonica B

Vol. 37, No. 6, June 2006, page 1701


Memory Effects and Diffusion for Strongly Correlated Stochastic Systems Described by the Generalized Langevin Equation Driven by a Jumping Process

A. Kaminska, T. Srokowski

Solutions of the generalized Langevin equation are simulated by using a jumping process as a model of the stochastic force. This force is strongly correlated; we consider two forms of correlations' tail: \sim 1/t2 and \sim 1/\sqrt t. We demonstrate that remnants of the initial condition can be recognized in the velocity probability distributions after a long time if the correlation function falls slowly. Moreover, the system can exhibit both normal and anomalously slow diffusion which is reflected by the structure of the spectra.

PACS numbers: 05.40.--a, 02.50.--r, 05.10.Gg



 
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