The persistence length of two dimensional self avoiding random walks
classification
❄️ cond-mat.stat-mech
keywords
lengthpersistencerandomstepwalkwalksanalysisavoiding
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The decay of directional correlations in self-avoiding random walks on the square lattice is investigated. Analysis of exact enumerations and Monte Carlo data suggest that the correlation between the directions of the first step and the j-th step of the walk decays faster than 1/j, indicating that the persistence length of the walk is finite.
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