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- W2009549488 abstract "The scanning method proposed by us [J. Phys. A 15, L735 (1982); Macromolecules 18, 563 (1985)] for simulation of polymer chains is further developed and applied, for the first time, to a model with finite interactions. In addition to ``importance sampling,'' we remove the bias introduced by the scanning method with a procedure suggested recently by Schmidt [Phys. Rev. Lett. 51, 2175 (1983)]; this procedure has the advantage of enabling one to estimate the statistical error. We find these two procedures to be equally efficient. The model studied is an N-step random walk on a lattice, in which a random walk i has a statistical weight , where p1 is an attractive energy parameter and ${M}_{i}$ is the number of distinct sites visited by walk i.This model, which corresponds to a model of random walks moving in a medium with randomly distributed static traps, has been solved analytically for Nensuremath{rightarrow}ensuremath{infty} for any dimension d by Donsker and Varadhan (DV) and by others. 〈M〉 and lnensuremath{varphi}, where ensuremath{varphi} is the survival probability in the trapping problem, diverge like ${N}^{ensuremath{alpha}}$ with ensuremath{alpha}=d/(d+2). Most numerical studies, however, have failed to reach the DV regime in which d/(d+2) becomes a good approximation for ensuremath{alpha}. On the other hand, our results for ensuremath{alpha} (obtained for Nensuremath{le}150) are close to the DV values for pensuremath{le}0.7 and pensuremath{le}0.6 for d=2 and 3, respectively.This suggests that the scanning method is more efficient than both the commonly used direct Monte Carlo technique, and the Rosenbluth and Rosenbluth method [J. Chem. Phys. 23, 356 (1954)]. Our results support the conclusion of Havlin et al. [Phys. Rev. Lett. 53, 407 (1984)] that the DV regime exists already for ensuremath{varphi}ensuremath{le}${10}^{mathrm{ensuremath{-}}13}$ for both d=2 and 3. We also find that at the percolation threshold ${p}_{c}$ the exponents for the end-to-end distance are small, but larger than zero, and that the probability of a walk returning to the origin behaves approximately as ${N}^{mathrm{ensuremath{-}}1/3}$ for both d=2 and 3." @default.
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- W2009549488 date "1985-12-01" @default.
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- W2009549488 title "Scanning method as an unbiased simulation technique and its application to the study of self-attracting random walks" @default.
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- W2009549488 doi "https://doi.org/10.1103/physreva.32.3699" @default.
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