Critical Brownian multiplicative chaos

Author:

Jego AntoineORCID

Abstract

AbstractBrownian multiplicative chaos measures, introduced in Jego (Ann Probab 48:1597–1643, 2020), Aïdékon et al. (Ann Probab 48(4):1785–1825, 2020) and Bass et al. (Ann Probab 22:566–625, 1994), are random Borel measures that can be formally defined by exponentiating $$\gamma $$ γ times the square root of the local times of planar Brownian motion. So far, only the subcritical measures where the parameter $$\gamma $$ γ is less than 2 were studied. This article considers the critical case where $$\gamma =2$$ γ = 2 , using three different approximation procedures which all lead to the same universal measure. On the one hand, we exponentiate the square root of the local times of small circles and show convergence in the Seneta–Heyde normalisation as well as in the derivative martingale normalisation. On the other hand, we construct the critical measure as a limit of subcritical measures. This is the first example of a non-Gaussian critical multiplicative chaos. We are inspired by methods coming from critical Gaussian multiplicative chaos, but there are essential differences, the main one being the lack of Gaussianity which prevents the use of Kahane’s inequality and hence a priori controls. Instead, a continuity lemma is proved which makes it possible to use tools from stochastic calculus as an effective substitute.

Funder

Österreichischen Akademie der Wissenschaften

Publisher

Springer Science and Business Media LLC

Subject

Statistics, Probability and Uncertainty,Statistics and Probability,Analysis

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Convergence for complex Gaussian multiplicative chaos on phase boundaries;Probability and Mathematical Physics;2024-05-26

2. A limit law for the most favorite point of simplerandom walk on a regular tree;The Annals of Probability;2024-03-01

3. Multiplicative chaos of the Brownian loop soup;Proceedings of the London Mathematical Society;2023-01-15

4. Tightness for thick points in two dimensions;Electronic Journal of Probability;2023-01-01

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