Weak Non Self-Averaging Behaviour for Diffusion in a Trapping Environment
arXiv:cond-mat/9309019 · doi:10.1103/PhysRevE.49.227
Abstract
The statistics of equally weighted random paths (ideal polymer) is studied in and dimensional percolating clusters. This is equivalent to diffusion in the presence of a trapping environment. The number of step walks follows a log-normal distribution with a variance growing asymptotically faster than the mean which leads to a weak non self-averaging behaviour. Critical exponents associated with the scaling of the two-points correlation function do not obey standard scaling laws.
11 pages, Revtex 3.0, 5 figures available upon request, PURD-TH-93-02. Email:[email protected]
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