Issue |
EPL
Volume 140, Number 5, December 2022
|
|
---|---|---|
Article Number | 51003 | |
Number of page(s) | 7 | |
Section | Statistical physics and networks | |
DOI | https://doi.org/10.1209/0295-5075/aca699 | |
Published online | 12 December 2022 |
Probabilistic picture for particle number densities in stretched tips of the branching Brownian motion
1 CPHT, CNRS, École polytechnique, Institut Polytechnique de Paris - 91120 Palaiseau, France
2 Department of Physics, Columbia University - New York, NY 10027, USA
(a) E-mail: dung.le@polytechnique.edu
(b) E-mail: amh@phys.columbia.edu
(c) E-mail: stephane.munier@polytechnique.edu (corresponding author)
Received: 24 July 2022
Accepted: 28 November 2022
In the framework of a stochastic picture for the one-dimensional branching Brownian motion, we compute the probability density of the number of particles near the rightmost one at a time T, that we take very large, when this extreme particle is conditioned to arrive at a predefined position xT chosen far ahead of its expected position mT. We recover the previously conjectured fact that the typical number density of particles at a distance Δ to the left of the lead particle, when both Δ and are large, is smaller than the mean number density by a factor proportional to
, where ζ is a constant that was so far undetermined. Our picture leads to an expression for the probability density of the particle number, from which a value for ζ may be inferred.
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