Physics – Condensed Matter – Disordered Systems and Neural Networks
Scientific paper
2006-10-17
J. Phys. A: Math. Theor. 40, 919 (2007)
Physics
Condensed Matter
Disordered Systems and Neural Networks
18 pages, 4 figures .eps, JPA style
Scientific paper
10.1088/1751-8113/40/5/004
We study the problem of a Brownian particle diffusing in finite dimensions in a potential given by $\psi= \phi^2/2$ where $\phi$ is Gaussian random field. Exact results for the diffusion constant in the high temperature phase are given in one and two dimensions and it is shown to vanish in a power-law fashion at the dynamical transition temperature. Our results are confronted with numerical simulations where the Gaussian field is constructed, in a standard way, as a sum over random Fourier modes. We show that when the number of Fourier modes is finite the low temperature diffusion constant becomes non-zero and has an Arrhenius form. Thus we have a simple model with a fully understood finite size scaling theory for the dynamical transition. In addition we analyse the nature of the anomalous diffusion in the low temperature regime and show that the anomalous exponent agrees with that predicted by a trap model.
Dean David S.
Touya Clement
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