The shape of multidimensional Brunet-Derrida particle systems

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Publication:1650087

DOI10.1214/14-AAP1062zbMATH Open1391.60230arXiv1305.0254OpenAlexW2962684260WikidataQ129998162 ScholiaQ129998162MaRDI QIDQ1650087

Author name not available (Why is that?)

Publication date: 29 June 2018

Published in: (Search for Journal in Brave)

Abstract: We introduce particle systems in one or more dimensions in which particles perform branching Brownian motion and the population size is kept constant equal to N>1, through the following selection mechanism: at all times only the N fittest particles survive, while all the other particles are removed. Fitness is measured with respect to some given score function s:RdoR. For some choices of the function s, it is proved that the cloud of particles travels at positive speed in some possibly random direction. In the case where s is linear, we show under some assumptions on the initial configuration that the shape of the cloud scales like logN in the direction parallel to motion but at least c(logN)3/2 in the orthogonal direction for some c>0. We conjecture that the exponent 3/2 is sharp. This result is equivalent to the following result of independent interest: in one-dimensional systems, the genealogical time is greater than c(logN)3, thereby contributing a step towards the original predictions of Brunet and Derrida. We discuss several open problems and also explain how our results can be viewed as a rigorous justification of Weismann's arguments for the role of recombination in population genetics.


Full work available at URL: https://arxiv.org/abs/1305.0254



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