Density of imaginary multiplicative chaos via Malliavin calculus

Fuente: arXiv
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Autores principales: Aru, Juhan, Jego, Antoine, Junnila, Janne
Formato: Preprint
Publicado: 2020
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author Aru, Juhan
Jego, Antoine
Junnila, Janne
author_facet Aru, Juhan
Jego, Antoine
Junnila, Janne
contents We consider the imaginary Gaussian multiplicative chaos, i.e. the complex Wick exponential $μ_β:= :e^{iβΓ(x)}:$ for a log-correlated Gaussian field $Γ$ in $d \geq 1$ dimensions. We prove a basic density result, showing that for any nonzero continuous test function $f$, the complex-valued random variable $μ_β(f)$ has a smooth density w.r.t. the Lebesgue measure on $\mathbb{C}$. As a corollary, we deduce that the negative moments of imaginary chaos on the unit circle do not correspond to the analytic continuation of the Fyodorov-Bouchaud formula, even when well-defined. Somewhat surprisingly, basic density results are not easy to prove for imaginary chaos and one of the main contributions of the article is introducing Malliavin calculus to the study of (complex) multiplicative chaos. To apply Malliavin calculus to imaginary chaos, we develop a new decomposition theorem for non-degenerate log-correlated fields via a small detour to operator theory, and obtain small ball probabilities for Sobolev norms of imaginary chaos.
format Preprint
id arxiv_https___arxiv_org_abs_2008_11768
institution arXiv
publishDate 2020
record_format arxiv
spellingShingle Density of imaginary multiplicative chaos via Malliavin calculus
Aru, Juhan
Jego, Antoine
Junnila, Janne
Probability
Mathematical Physics
60G15, 60G20, 60G57, 60G60, 60H07, 82B21
We consider the imaginary Gaussian multiplicative chaos, i.e. the complex Wick exponential $μ_β:= :e^{iβΓ(x)}:$ for a log-correlated Gaussian field $Γ$ in $d \geq 1$ dimensions. We prove a basic density result, showing that for any nonzero continuous test function $f$, the complex-valued random variable $μ_β(f)$ has a smooth density w.r.t. the Lebesgue measure on $\mathbb{C}$. As a corollary, we deduce that the negative moments of imaginary chaos on the unit circle do not correspond to the analytic continuation of the Fyodorov-Bouchaud formula, even when well-defined. Somewhat surprisingly, basic density results are not easy to prove for imaginary chaos and one of the main contributions of the article is introducing Malliavin calculus to the study of (complex) multiplicative chaos. To apply Malliavin calculus to imaginary chaos, we develop a new decomposition theorem for non-degenerate log-correlated fields via a small detour to operator theory, and obtain small ball probabilities for Sobolev norms of imaginary chaos.
title Density of imaginary multiplicative chaos via Malliavin calculus
topic Probability
Mathematical Physics
60G15, 60G20, 60G57, 60G60, 60H07, 82B21
url https://arxiv.org/abs/2008.11768