Anderson stochastic quantization equation

Fuente: arXiv
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Main Authors: Eulry, Hugo, Mouzard, Antoine, Robert, Tristan
Format: Preprint
Published: 2024
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author Eulry, Hugo
Mouzard, Antoine
Robert, Tristan
author_facet Eulry, Hugo
Mouzard, Antoine
Robert, Tristan
contents We study the parabolic defocusing stochastic quantization equation with both mutliplicative spatial white noise and an independant space-time white noise forcing, on compact surfaces, with polynomial nonlinearity. After renormalizing the nonlinearity, we construct the random Gibbs measure as an absolutely continuous measure with respect to the law of the Anderson Gaussian Free Field for fixed realization of the spatial white noise. Then, when the initial data is distributed according to the Gibbs measure, we prove almost sure global well-posedness for the dynamics and invariance of the Gibbs measure.
format Preprint
id arxiv_https___arxiv_org_abs_2401_12742
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Anderson stochastic quantization equation
Eulry, Hugo
Mouzard, Antoine
Robert, Tristan
Analysis of PDEs
Probability
We study the parabolic defocusing stochastic quantization equation with both mutliplicative spatial white noise and an independant space-time white noise forcing, on compact surfaces, with polynomial nonlinearity. After renormalizing the nonlinearity, we construct the random Gibbs measure as an absolutely continuous measure with respect to the law of the Anderson Gaussian Free Field for fixed realization of the spatial white noise. Then, when the initial data is distributed according to the Gibbs measure, we prove almost sure global well-posedness for the dynamics and invariance of the Gibbs measure.
title Anderson stochastic quantization equation
topic Analysis of PDEs
Probability
url https://arxiv.org/abs/2401.12742