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
\$1/t\$ correction to the average position of the rightmost particle of a
branching random walk for large times \$t1\$, 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 branching random walk.
%0 Journal Article
%1 Mueller2014Phenomenological
%A Mueller, A. H.
%A Munier, S.
%D 2014
%J Physical Review E
%K teaching
%N 4
%R 10.1103/physreve.90.042143
%T Phenomenological picture of fluctuations in branching random walks
%U http://dx.doi.org/10.1103/physreve.90.042143
%V 90
%X 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
\$1/t\$ correction to the average position of the rightmost particle of a
branching random walk for large times \$t1\$, 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 branching random walk.
@article{Mueller2014Phenomenological,
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
\$1/\sqrt{t}\$ correction to the average position of the rightmost particle of a
branching random walk for large times \$t\gg 1\$, 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 branching random walk.},
added-at = {2019-02-23T22:09:48.000+0100},
archiveprefix = {arXiv},
author = {Mueller, A. H. and Munier, S.},
biburl = {https://www.bibsonomy.org/bibtex/20a8434613e58dfea7a904473f39afb7d/cmcneile},
citeulike-article-id = {13528817},
citeulike-linkout-0 = {http://arxiv.org/abs/1404.5500},
citeulike-linkout-1 = {http://arxiv.org/pdf/1404.5500},
citeulike-linkout-2 = {http://dx.doi.org/10.1103/physreve.90.042143},
day = 22,
doi = {10.1103/physreve.90.042143},
eprint = {1404.5500},
interhash = {fdb38dae564250c1d89a84bc61533f07},
intrahash = {0a8434613e58dfea7a904473f39afb7d},
issn = {1539-3755},
journal = {Physical Review E},
keywords = {teaching},
month = oct,
number = 4,
posted-at = {2015-02-26 17:16:57},
priority = {2},
timestamp = {2019-02-23T22:15:27.000+0100},
title = {{Phenomenological picture of fluctuations in branching random walks}},
url = {http://dx.doi.org/10.1103/physreve.90.042143},
volume = 90,
year = 2014
}