Weighted Besov spaces on Heisenberg groups and applications to the Parabolic Anderson model

Fuente: arXiv
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Autori principali: Baudoin, Fabrice, Chen, Li, Huang, Che-Hung, Ouyang, Cheng, Tindel, Samy, Wang, Jing
Natura: Preprint
Pubblicazione: 2025
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author Baudoin, Fabrice
Chen, Li
Huang, Che-Hung
Ouyang, Cheng
Tindel, Samy
Wang, Jing
author_facet Baudoin, Fabrice
Chen, Li
Huang, Che-Hung
Ouyang, Cheng
Tindel, Samy
Wang, Jing
contents This article aims at a proper definition and resolution of the parabolic Anderson model on Heisenberg groups $\mathbf{H}_{n}$. This stochastic PDE is understood in a pathwise (Stratonovich) sense. We consider a noise which is smoother than white noise in time, with a spatial covariance function generated by negative powers $(-Δ)^{-α}$ of the sub-Laplacian on $\mathbf{H}_{n}$. We give optimal conditions on the covariance function so that the stochastic PDE is solvable. A large portion of the article is dedicated to a detailed definition of weighted Besov spaces on $\mathbf{H}_{n}$. This definition, related paraproducts and heat flow smoothing properties, forms a necessary step in the resolution of our main equation. It also appears to be new and of independent interest. It relies on a recent approach, called projective, to Fourier transforms on $\mathbf{H}_{n}$.
format Preprint
id arxiv_https___arxiv_org_abs_2501_04593
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Weighted Besov spaces on Heisenberg groups and applications to the Parabolic Anderson model
Baudoin, Fabrice
Chen, Li
Huang, Che-Hung
Ouyang, Cheng
Tindel, Samy
Wang, Jing
Probability
Functional Analysis
This article aims at a proper definition and resolution of the parabolic Anderson model on Heisenberg groups $\mathbf{H}_{n}$. This stochastic PDE is understood in a pathwise (Stratonovich) sense. We consider a noise which is smoother than white noise in time, with a spatial covariance function generated by negative powers $(-Δ)^{-α}$ of the sub-Laplacian on $\mathbf{H}_{n}$. We give optimal conditions on the covariance function so that the stochastic PDE is solvable. A large portion of the article is dedicated to a detailed definition of weighted Besov spaces on $\mathbf{H}_{n}$. This definition, related paraproducts and heat flow smoothing properties, forms a necessary step in the resolution of our main equation. It also appears to be new and of independent interest. It relies on a recent approach, called projective, to Fourier transforms on $\mathbf{H}_{n}$.
title Weighted Besov spaces on Heisenberg groups and applications to the Parabolic Anderson model
topic Probability
Functional Analysis
url https://arxiv.org/abs/2501.04593