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Probability distribution of the number of distinct sites visited by a random walk on the finite-size fully-connected lattice

Abstract

The probability distribution of the number ss of distinct sites visited up to time tt by a random walk on the fully-connected lattice with NN sites is first obtained by solving the eigenvalue problem associated with the discrete master equation. Then, using generating function techniques, we compute the joint probability distribution of ss and rr, where rr is the number of sites visited only once up to time tt. Mean values, variances and covariance are deduced from the generating functions and their finite-size-scaling behaviour is studied. Introducing properly centered and scaled variables uu and vv for rr and ss and working in the scaling limit (tt\to\infty, NN\to\infty with w=t/Nw=t/N fixed) the joint probability density of uu and vv is shown to be a bivariate Gaussian density. It follows that the fluctuations of rr and ss around their mean values in a finite-size system are Gaussian in the scaling limit. The same type of finite-size scaling is expected to hold on periodic lattices above the critical dimension dc=2d_{\rm c}=2.Comment: 20 pages, 5 figure

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