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2022 The overlap distribution at two temperatures for the branching Brownian motion
Benjamin Bonnefont
Author Affiliations +
Electron. J. Probab. 27: 1-21 (2022). DOI: 10.1214/22-EJP841

Abstract

We study the overlap distribution of two particles chosen under the Gibbs measure at two temperatures for the branching Brownian motion. We first prove the convergence of the overlap distribution using the extended convergence of the extremal process obtained by Bovier and Hartung [8]. We then prove that the mean overlap of two points chosen at different temperatures is strictly smaller than in Derrida’s random energy model. The proof of this last result is achieved with the description of the decoration point process obtained by Aïdékon, Berestycki, Brunet and Shi [1]. To our knowledge, it is the first time that this description is being used.

Acknowledgments

I wish to thank my supervisor Olivier Zindy for introducing me to this subject and for useful discussions. I would like to also thank Zhan Shi for explaining precisely to me the description of the distribution of the decoration process obtained in [1].

Citation

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Benjamin Bonnefont. "The overlap distribution at two temperatures for the branching Brownian motion." Electron. J. Probab. 27 1 - 21, 2022. https://doi.org/10.1214/22-EJP841

Information

Received: 11 January 2022; Accepted: 22 August 2022; Published: 2022
First available in Project Euclid: 9 September 2022

MathSciNet: MR4478319
zbMATH: 1498.60339
Digital Object Identifier: 10.1214/22-EJP841

Subjects:
Primary: 60G70 , 60J80 , 82D30

Keywords: Branching Brownian motion , Gibbs measure , overlap distribution , random energy model

Vol.27 • 2022
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