Physics – Condensed Matter – Disordered Systems and Neural Networks
Scientific paper
2012-03-08
Physics
Condensed Matter
Disordered Systems and Neural Networks
4 pages, 3 figures
Scientific paper
Considering diffusion in the presence of asymmetric disorder, an exact relationship between the strength of weak disorder and electric resistance is established, which is valid on arbitrary networks. Accordingly, the law of diffusion is stable against weak asymmetric disorder if the resistance exponent $\zeta$ of the network is negative. In case of $\zeta>0$, numerical analyses of the mean first-passage time $\tau$ on various fractal lattices show that the logarithmic scaling of $\tau$ with the distance $l$, $\ln\tau\sim l^{\psi}$, is a general rule with a dynamical exponent $\psi$ that is characteristic of the underlying lattice.
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