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Moments of Moments and Branching Random Walks

We calculate, for a branching random walk [Formula: see text] to a leaf l at depth n on a binary tree, the positive integer moments of the random variable [Formula: see text] , for [Formula: see text] . We obtain explicit formulae for the first few moments for finite n. In the limit [Formula: see te...

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Detalles Bibliográficos
Autores principales: Bailey, E. C., Keating, J. P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7803724/
https://www.ncbi.nlm.nih.gov/pubmed/33487737
http://dx.doi.org/10.1007/s10955-020-02696-9
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author Bailey, E. C.
Keating, J. P.
author_facet Bailey, E. C.
Keating, J. P.
author_sort Bailey, E. C.
collection PubMed
description We calculate, for a branching random walk [Formula: see text] to a leaf l at depth n on a binary tree, the positive integer moments of the random variable [Formula: see text] , for [Formula: see text] . We obtain explicit formulae for the first few moments for finite n. In the limit [Formula: see text] , our expression coincides with recent conjectures and results concerning the moments of moments of characteristic polynomials of random unitary matrices, supporting the idea that these two problems, which both fall into the class of logarithmically correlated Gaussian random fields, are related to each other.
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spelling pubmed-78037242021-01-21 Moments of Moments and Branching Random Walks Bailey, E. C. Keating, J. P. J Stat Phys Article We calculate, for a branching random walk [Formula: see text] to a leaf l at depth n on a binary tree, the positive integer moments of the random variable [Formula: see text] , for [Formula: see text] . We obtain explicit formulae for the first few moments for finite n. In the limit [Formula: see text] , our expression coincides with recent conjectures and results concerning the moments of moments of characteristic polynomials of random unitary matrices, supporting the idea that these two problems, which both fall into the class of logarithmically correlated Gaussian random fields, are related to each other. Springer US 2021-01-12 2021 /pmc/articles/PMC7803724/ /pubmed/33487737 http://dx.doi.org/10.1007/s10955-020-02696-9 Text en © The Author(s) 2021 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Bailey, E. C.
Keating, J. P.
Moments of Moments and Branching Random Walks
title Moments of Moments and Branching Random Walks
title_full Moments of Moments and Branching Random Walks
title_fullStr Moments of Moments and Branching Random Walks
title_full_unstemmed Moments of Moments and Branching Random Walks
title_short Moments of Moments and Branching Random Walks
title_sort moments of moments and branching random walks
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7803724/
https://www.ncbi.nlm.nih.gov/pubmed/33487737
http://dx.doi.org/10.1007/s10955-020-02696-9
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