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On Gaussian multiplicative chaos

2014/07/16 by Shamov, Alexander · 9 citations
#60B10 (Secondary) #60G15 (Primary) #60G57 #FOS: Mathematics #Probability (math.PR)

paper · doi:10.48550/arxiv.1407.4418

Abstract

We propose a new definition of the Gaussian multiplicative chaos (GMC) and an approach based on the relation of subcritical GMC to randomized shifts of a Gaussian measure. Using this relation we prove general uniqueness and convergence results for subcritical GMC that hold for Gaussian fields with arbitrary covariance kernels.

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