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Derivatives of Gaussian multiplicative chaos

Probability 2026-01-28 v1 Mathematical Physics math.MP

Abstract

Consider a logarithmically-correlated Gaussian field XX in dd dimensions. For all γ(2d,2d)\gamma \in (-\sqrt{2d},\sqrt{2d}), we show that the derivatives kγk:eγXϵ:\frac{\partial^k}{\partial\gamma^k} :e^{\gamma X_\epsilon}: of the regularised Gaussian multiplicative chaos :eγXϵ::e^{\gamma X_\epsilon}: converge as ϵ0\epsilon \to 0. By deriving optimal bounds on their growth as kk\to\infty, we control the power expansion of :eγXϵ::e^{\gamma X_\epsilon}: about each γ(2d,2d)\gamma\in(-\sqrt{2d},\sqrt{2d}). This yields an alternative approach to complex Gaussian multiplicative chaos in the whole subcritical regime, based entirely on real-valued quantities. One of our key technical contributions is to provide a truncated second moment approach to the uniform integrability of the derivatives of multiplicative chaos and its associated complex variant.

Keywords

Cite

@article{arxiv.2601.19614,
  title  = {Derivatives of Gaussian multiplicative chaos},
  author = {Antoine Jego},
  journal= {arXiv preprint arXiv:2601.19614},
  year   = {2026}
}

Comments

30 pages, 1 figure