IMAGINARY MULTIPLICATIVE CHAOS: MOMENTS, REGULARITY AND CONNECTIONS TO THE ISING MODEL

Janne Junnila*, Eero Saksman, Christian Webb

*Corresponding author for this work

Research output: Contribution to journalArticleScientificpeer-review

Abstract

In this article we study imaginary Gaussian multiplicative chaos-namely a family of random generalized functions which can formally be written as e(iX(x)), where X is a log-correlated real-valued Gaussian field on R-d, that is, it has a logarithmic singularity on the diagonal of its covariance. We study basic analytic properties of these random generalized functions, such as what spaces of distributions these objects live in, along with their basic stochastic properties, such as moment and tail estimates.

After this, we discuss connections between imaginary multiplicative chaos and the critical planar Ising model, namely that the scaling limit of the spin field of the critical planar XOR-Ising model can be expressed in terms of the cosine of the Gaussian free field, that is, the real part of an imaginary multiplicative chaos distribution. Moreover, if one adds a magnetic perturbation to the XOR-Ising model, then the scaling limit of the spin field can be expressed in terms of the cosine of the sine-Gordon field, which can also be viewed as the real part of an imaginary multiplicative chaos distribution.

The first sections of the article have been written in the style of a review, and we hope that the text will also serve as an introduction to imaginary chaos for an uninitiated reader.

Original languageEnglish
Pages (from-to)2099-2164
Number of pages66
JournalANNALS OF APPLIED PROBABILITY
Volume30
Issue number5
DOIs
Publication statusPublished - Oct 2020
MoE publication typeA1 Journal article-refereed

Keywords

  • Imaginary multiplicative chaos
  • XOR-Ising model
  • sine-Gordon model
  • LOG-CORRELATED FIELDS
  • SINE-GORDON EQUATION
  • QUANTUM-GRAVITY
  • RANDOM SURFACES
  • MAXIMUM
  • DETERMINANTS
  • CONVERGENCE
  • TOEPLITZ
  • SLE

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