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Reconstruction of log-correlated fields from multiplicative chaos measures

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arxiv 2408.17219 v1 pith:7WV3KIGH submitted 2024-08-30 math.PR math-phmath.MP

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keywords fieldgammachaosfieldslog-correlatedmultiplicativeallowgaussian
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abstract

We consider log-correlated random fields $X$ and the associated multiplicative chaos measures $\mu_{\gamma,X}$. Our results reconstruct the underlying field $X$ from the multiplicative chaos measure $\nu_{\gamma,X}$. The new feature of our results is that we allow the dimension $d$ to be arbitrary and cover also the critical case $\gamma=\sqrt{2d}$. In the sub-critical regime $\gamma<\sqrt{2d}$, we allow the fields to be mildly non-Gaussian, that is, the field has the decomposition $X=G+H$ with a log-correlated Gaussian field $G$ and a H\"older-continuos (not necessarily Gaussian) field $H$.

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    math.PR 2025-06 conditional novelty 7.0 of 10

    Two stochastic analogs of Q-curvature flow on even-dimensional manifolds are shown to have weak solutions, with volume governed by square Bessel and CIR processes.

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