Convergence for Complex Gaussian Multiplicative Chaos on phase boundaries

Abstract

The complex Gaussian Multiplicative Chaos (or complex GMC) is informally defined as a random measure eγ X d x where X is a log correlated Gaussian field on Rd and γ=α+iβ is a complex parameter. The correlation function of X is of the form K(x,y)= 1|x-y|+ L(x,y), where L is a continuous function. In the present paper, we consider the cases γ∈ PI/II and γ∈ P'II/III where PI/II:= \ α+i β \ : α,β ∈ R \ ; |α|>|β| \ ; \ |α|+|β|=2d \, and P'II/III:= \ α+i β \ : α,β ∈ R \ ; \ |α|= d/2 \ ; \ |β|>2d \, We prove that if X is replaced by an approximation Xε obtained via mollification, then eγ Xε d x, when properly rescaled, converges when ε 0. The limit does not depend on the mollification kernel. When γ∈ PI/II, the convergence holds in probability and in Lp for some value of p∈ [1,2d/α). When γ∈ P'II/III the convergence holds only in law. In this latter case, the limit can be described a complex Gaussian white noise with a random intensity given by a critical real GMC. The regions PI/II and P'II/III correspond to phase boundary between the three different regions of the complex GMC phase diagram. These results complete previous results obtained for the GMC in phase I and III and only leave as an open problem the question of convergence in phase II.

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