Critical Gaussian multiplicative chaos: Convergence of the derivative martingale

In this paper, we study Gaussian multiplicative chaos in the critical case. We show that the so-called derivative martingale, introduced in the context of branching Brownian motions and branching random walks, converges almost surely (in all dimensions) to a random measure with full support. We also...

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Main Authors: Duplantier, Bertrand, Rhodes, Rémi, Vargas, Vincent, Sheffield, Scott Roger
Other Authors: Massachusetts Institute of Technology. Department of Mathematics
Format: Article
Published: Institute of Mathematical Statistics 2018
Online Access:http://hdl.handle.net/1721.1/115337
https://orcid.org/0000-0002-5951-4933
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author Duplantier, Bertrand
Rhodes, Rémi
Vargas, Vincent
Sheffield, Scott Roger
author2 Massachusetts Institute of Technology. Department of Mathematics
author_facet Massachusetts Institute of Technology. Department of Mathematics
Duplantier, Bertrand
Rhodes, Rémi
Vargas, Vincent
Sheffield, Scott Roger
author_sort Duplantier, Bertrand
collection MIT
description In this paper, we study Gaussian multiplicative chaos in the critical case. We show that the so-called derivative martingale, introduced in the context of branching Brownian motions and branching random walks, converges almost surely (in all dimensions) to a random measure with full support. We also show that the limiting measure has no atom. In connection with the derivative martingale, we write explicit conjectures about the glassy phase of log-correlated Gaussian potentials and the relation with the asymptotic expansion of the maximum of log-correlated Gaussian random variables.
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spelling mit-1721.1/1153372022-09-27T22:31:12Z Critical Gaussian multiplicative chaos: Convergence of the derivative martingale Duplantier, Bertrand Rhodes, Rémi Vargas, Vincent Sheffield, Scott Roger Massachusetts Institute of Technology. Department of Mathematics Sheffield, Scott Roger In this paper, we study Gaussian multiplicative chaos in the critical case. We show that the so-called derivative martingale, introduced in the context of branching Brownian motions and branching random walks, converges almost surely (in all dimensions) to a random measure with full support. We also show that the limiting measure has no atom. In connection with the derivative martingale, we write explicit conjectures about the glassy phase of log-correlated Gaussian potentials and the relation with the asymptotic expansion of the maximum of log-correlated Gaussian random variables. National Science Foundation (U.S.) (Grant DMS-06-4558) 2018-05-11T18:34:54Z 2018-05-11T18:34:54Z 2014-09 2013-09 2018-05-10T16:52:18Z Article http://purl.org/eprint/type/JournalArticle 0091-1798 http://hdl.handle.net/1721.1/115337 Duplantier, Bertrand et al. “Critical Gaussian Multiplicative Chaos: Convergence of the Derivative Martingale.” The Annals of Probability 42, 5 (September 2014): 1769–1808 © 2014 Institute of Mathematical Statistics https://orcid.org/0000-0002-5951-4933 http://dx.doi.org/10.1214/13-AOP890 Annals of Probability Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use. application/pdf Institute of Mathematical Statistics arXiv
spellingShingle Duplantier, Bertrand
Rhodes, Rémi
Vargas, Vincent
Sheffield, Scott Roger
Critical Gaussian multiplicative chaos: Convergence of the derivative martingale
title Critical Gaussian multiplicative chaos: Convergence of the derivative martingale
title_full Critical Gaussian multiplicative chaos: Convergence of the derivative martingale
title_fullStr Critical Gaussian multiplicative chaos: Convergence of the derivative martingale
title_full_unstemmed Critical Gaussian multiplicative chaos: Convergence of the derivative martingale
title_short Critical Gaussian multiplicative chaos: Convergence of the derivative martingale
title_sort critical gaussian multiplicative chaos convergence of the derivative martingale
url http://hdl.handle.net/1721.1/115337
https://orcid.org/0000-0002-5951-4933
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