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Critical Gaussian multiplicative chaos: Convergence of the derivative martingale

Authors :
Duplantier, Bertrand
Rhodes, Rémi
Sheffield, Scott
Vargas, Vincent
Source :
Annals of Probability 2014, Vol. 42, No. 5, 1769-1808
Publication Year :
2012

Abstract

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.<br />Comment: Published in at http://dx.doi.org/10.1214/13-AOP890 the Annals of Probability (http://www.imstat.org/aop/) by the Institute of Mathematical Statistics (http://www.imstat.org)

Subjects

Subjects :
Mathematics - Probability

Details

Database :
arXiv
Journal :
Annals of Probability 2014, Vol. 42, No. 5, 1769-1808
Publication Type :
Report
Accession number :
edsarx.1206.1671
Document Type :
Working Paper
Full Text :
https://doi.org/10.1214/13-AOP890