Universality of the spectral dimension of percolation clusters

Abstract
We have calculated, via an extensive Monte Carlo simulation, the spectral dimension d̃ of infinite percolation clusters, at different Euclidean dimensions 2<~d<~6 and d=. d̃ is extracted from the asymptotic behavior of the average number SN of distinct visited sites during an N-step random walk. Correction to scaling is shown to be very important. For all d>~2, SN takes the following form: SN=aNs(1+bNωa), where s=d̃2, 0.661<~s<~0.666, and ω16. We compare our results with existing theories or conjectures relative to the value of d̃.