Abstract
We propose a picture of the fluctuations in branching random walks, which leads to predictions for the distribution of a random variable that characterizes the position of the bulk of the particles. We also interpret the correction to the average position of the rightmost particle of a branching random walk for large times , computed by Ebert and Van Saarloos, as fluctuations on top of the mean-field approximation of this process with a Brunet-Derrida cutoff at the tip that simulates discreteness. Our analytical formulas successfully compare to numerical simulations of a particular model of a branching random walk.
- Received 25 April 2014
DOI:https://doi.org/10.1103/PhysRevE.90.042143
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