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Long Paths in First Passage Percolation on the Complete Graph II. Global Branching Dynamics

We study the random geometry of first passage percolation on the complete graph equipped with independent and identically distributed positive edge weights. We consider the case where the lower extreme values of the edge weights are highly separated. This model exhibits strong disorder and a crossov...

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Autores principales: Eckhoff, Maren, Goodman, Jesse, van der Hofstad, Remco, Nardi, Francesca R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7462937/
https://www.ncbi.nlm.nih.gov/pubmed/32921809
http://dx.doi.org/10.1007/s10955-020-02585-1
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author Eckhoff, Maren
Goodman, Jesse
van der Hofstad, Remco
Nardi, Francesca R.
author_facet Eckhoff, Maren
Goodman, Jesse
van der Hofstad, Remco
Nardi, Francesca R.
author_sort Eckhoff, Maren
collection PubMed
description We study the random geometry of first passage percolation on the complete graph equipped with independent and identically distributed positive edge weights. We consider the case where the lower extreme values of the edge weights are highly separated. This model exhibits strong disorder and a crossover between local and global scales. Local neighborhoods are related to invasion percolation that display self-organised criticality. Globally, the edges with relevant edge weights form a barely supercritical Erdős–Rényi random graph that can be described by branching processes. This near-critical behaviour gives rise to optimal paths that are considerably longer than logarithmic in the number of vertices, interpolating between random graph and minimal spanning tree path lengths. Crucial to our approach is the quantification of the extreme-value behavior of small edge weights in terms of a sequence of parameters [Formula: see text] that characterises the different universality classes for first passage percolation on the complete graph. We investigate the case where [Formula: see text] with [Formula: see text] , which corresponds to the barely supercritical setting. We identify the scaling limit of the weight of the optimal path between two vertices, and we prove that the number of edges in this path obeys a central limit theorem with mean approximately [Formula: see text] and variance [Formula: see text] . Remarkably, our proof also applies to n-dependent edge weights of the form [Formula: see text] , where E is an exponential random variable with mean 1, thus settling a conjecture of Bhamidi et al. (Weak disorder asymptotics in the stochastic meanfield model of distance. Ann Appl Probab 22(1):29–69, 2012). The proof relies on a decomposition of the smallest-weight tree into an initial part following invasion percolation dynamics, and a main part following branching process dynamics. The initial part has been studied in Eckhoff et al. (Long paths in first passage percolation on the complete graph I. Local PWIT dynamics. Electron. J. Probab. 25:1–45, 2020. 10.1214/20-EJP484); the current paper focuses on the global branching dynamics.
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spelling pubmed-74629372020-09-11 Long Paths in First Passage Percolation on the Complete Graph II. Global Branching Dynamics Eckhoff, Maren Goodman, Jesse van der Hofstad, Remco Nardi, Francesca R. J Stat Phys Article We study the random geometry of first passage percolation on the complete graph equipped with independent and identically distributed positive edge weights. We consider the case where the lower extreme values of the edge weights are highly separated. This model exhibits strong disorder and a crossover between local and global scales. Local neighborhoods are related to invasion percolation that display self-organised criticality. Globally, the edges with relevant edge weights form a barely supercritical Erdős–Rényi random graph that can be described by branching processes. This near-critical behaviour gives rise to optimal paths that are considerably longer than logarithmic in the number of vertices, interpolating between random graph and minimal spanning tree path lengths. Crucial to our approach is the quantification of the extreme-value behavior of small edge weights in terms of a sequence of parameters [Formula: see text] that characterises the different universality classes for first passage percolation on the complete graph. We investigate the case where [Formula: see text] with [Formula: see text] , which corresponds to the barely supercritical setting. We identify the scaling limit of the weight of the optimal path between two vertices, and we prove that the number of edges in this path obeys a central limit theorem with mean approximately [Formula: see text] and variance [Formula: see text] . Remarkably, our proof also applies to n-dependent edge weights of the form [Formula: see text] , where E is an exponential random variable with mean 1, thus settling a conjecture of Bhamidi et al. (Weak disorder asymptotics in the stochastic meanfield model of distance. Ann Appl Probab 22(1):29–69, 2012). The proof relies on a decomposition of the smallest-weight tree into an initial part following invasion percolation dynamics, and a main part following branching process dynamics. The initial part has been studied in Eckhoff et al. (Long paths in first passage percolation on the complete graph I. Local PWIT dynamics. Electron. J. Probab. 25:1–45, 2020. 10.1214/20-EJP484); the current paper focuses on the global branching dynamics. Springer US 2020-08-06 2020 /pmc/articles/PMC7462937/ /pubmed/32921809 http://dx.doi.org/10.1007/s10955-020-02585-1 Text en © The Author(s) 2020 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
Eckhoff, Maren
Goodman, Jesse
van der Hofstad, Remco
Nardi, Francesca R.
Long Paths in First Passage Percolation on the Complete Graph II. Global Branching Dynamics
title Long Paths in First Passage Percolation on the Complete Graph II. Global Branching Dynamics
title_full Long Paths in First Passage Percolation on the Complete Graph II. Global Branching Dynamics
title_fullStr Long Paths in First Passage Percolation on the Complete Graph II. Global Branching Dynamics
title_full_unstemmed Long Paths in First Passage Percolation on the Complete Graph II. Global Branching Dynamics
title_short Long Paths in First Passage Percolation on the Complete Graph II. Global Branching Dynamics
title_sort long paths in first passage percolation on the complete graph ii. global branching dynamics
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7462937/
https://www.ncbi.nlm.nih.gov/pubmed/32921809
http://dx.doi.org/10.1007/s10955-020-02585-1
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