Renormalization of Singular Stochastic Partial Differential Equations via Paracontrolled Distributions

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Main Authors: Revista, Zen, MFC, 10
Format: Recurso digital
Published: Zenodo 2026
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author Revista, Zen
MFC, 10
author_facet Revista, Zen
MFC, 10
contents This monograph presents a rigorous analysis of singular stochastic partial differential equations (SPDEs) within the framework of paracontrolled distributions, as introduced by Gubinelli, Imkeller, and Perkowski. We address the inherent ill-posedness arising from the distributional nature of the driving noise, specifically space-time white noise in dimensions d 2, which renders non-linear terms analytically undefined due to ultraviolet divergences. By employing Littlewood-Paley theory and Bony's paradifferential calculus, we construct a solution space of paracontrolled distributions that permits the algebraic decoupling of the solution into a rough component, determined explicitly by the noise, and a smoother remainder. We rigorously detail the renormalization procedure required to define the resonant interaction terms, specifically focusing on the dynamic 43 model. We establish local well-posedness results in weighted Besov spaces and provide the necessary commutator estimates to control the renormalization constants.
format Recurso digital
id zenodo_https___doi_org_10_5281_zenodo_18632006
institution Zenodo
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publishDate 2026
publisher Zenodo
record_format zenodo
spellingShingle Renormalization of Singular Stochastic Partial Differential Equations via Paracontrolled Distributions
Revista, Zen
MFC, 10
Singular SPDEs
Paracontrolled Distributions
Renormalization
Stochastic Quantization
Besov Spaces
This monograph presents a rigorous analysis of singular stochastic partial differential equations (SPDEs) within the framework of paracontrolled distributions, as introduced by Gubinelli, Imkeller, and Perkowski. We address the inherent ill-posedness arising from the distributional nature of the driving noise, specifically space-time white noise in dimensions d 2, which renders non-linear terms analytically undefined due to ultraviolet divergences. By employing Littlewood-Paley theory and Bony's paradifferential calculus, we construct a solution space of paracontrolled distributions that permits the algebraic decoupling of the solution into a rough component, determined explicitly by the noise, and a smoother remainder. We rigorously detail the renormalization procedure required to define the resonant interaction terms, specifically focusing on the dynamic 43 model. We establish local well-posedness results in weighted Besov spaces and provide the necessary commutator estimates to control the renormalization constants.
title Renormalization of Singular Stochastic Partial Differential Equations via Paracontrolled Distributions
topic Singular SPDEs
Paracontrolled Distributions
Renormalization
Stochastic Quantization
Besov Spaces
url https://doi.org/10.5281/zenodo.18632006