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Bibliographic Details
Main Author: Ooi, Takumu
Format: Preprint
Published: 2023
Subjects:
Online Access:https://arxiv.org/abs/2305.00734
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author Ooi, Takumu
author_facet Ooi, Takumu
contents As represented by the Liouville measure, Gaussian multiplicative chaos is a random measure constructed from a Gaussian field. Under certain technical assumptions, we prove the convergence of a process time-changed by Gaussian multiplicative chaos in the case the latter object is square integrable (the $L^2$-regime). As examples of the main result, we prove that, in the whole $L^2$-regime, the scaling limit of the Liouville simple random walk on $\mathbb{Z}^2$ is Liouville Brownian motion and, as $α\to 1$, Liouville $α$-stable processes on $\mathbb{R}$ converge weakly to the Liouville Cauchy process.
format Preprint
id arxiv_https___arxiv_org_abs_2305_00734
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle Convergence of processes time-changed by Gaussian multiplicative chaos
Ooi, Takumu
Probability
60K37, 31C25, 60J55, 60G57, 60G60
As represented by the Liouville measure, Gaussian multiplicative chaos is a random measure constructed from a Gaussian field. Under certain technical assumptions, we prove the convergence of a process time-changed by Gaussian multiplicative chaos in the case the latter object is square integrable (the $L^2$-regime). As examples of the main result, we prove that, in the whole $L^2$-regime, the scaling limit of the Liouville simple random walk on $\mathbb{Z}^2$ is Liouville Brownian motion and, as $α\to 1$, Liouville $α$-stable processes on $\mathbb{R}$ converge weakly to the Liouville Cauchy process.
title Convergence of processes time-changed by Gaussian multiplicative chaos
topic Probability
60K37, 31C25, 60J55, 60G57, 60G60
url https://arxiv.org/abs/2305.00734