A New Finite-Size Scaling Approach to Random Walks
classification
❄️ cond-mat
keywords
randomscalingwalksapproachfinite-sizemethodapplicationcorrelation
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We present a new finite-size scaling method for the random walks (RW) superseeding a previously widely used renormalization group approach, which is shown here to be inconsistent. The method is valid in any dimension and is based on the exact solution for the two-point correlation function and on finite size scaling. As an application, the phase diagram is derived for random walks with a surface-bulk interaction where the system has either a surface or a defect. Possible extensions to disordered systems are also discussed.
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