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Auteurs principaux: Deya, Aurélien, Fukuizumi, Reika, Thomann, Laurent
Format: Preprint
Publié: 2023
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Accès en ligne:https://arxiv.org/abs/2304.03114
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author Deya, Aurélien
Fukuizumi, Reika
Thomann, Laurent
author_facet Deya, Aurélien
Fukuizumi, Reika
Thomann, Laurent
contents The study is devoted to the interpretation and wellposedness of the stochastic NLS model \begin{equation*} (\imath \partial_t-Δ)u=|u|^2+\dot{B}, \quad u_0=0,\quad \quad t\in \mathbb{R}, \ x\in \mathbb{T}, \end{equation*} where $\dot{B}$ stands for a space-time fractional noise with index $H=(H_0,H_1)$ in a subset of $(0,1)^{2}$. We first establish that in the situation where $0<2H_0+H_1\leq 2$, the equation cannot be interpreted in a (classical) functional sense.\\ \indent Our investigations then focus on the rough regime corresponding to the condition $\frac74<2H_0+H_1\leq 2$. In this specific case, we exhibit an \textit{explicit} renormalization procedure allowing to restore the (local) convergence of the approximated solutions. We follow a pathwise-type approach emphasizing the distinction between the stochastic objects at the core of the dynamics and the general deterministic machinery.
format Preprint
id arxiv_https___arxiv_org_abs_2304_03114
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle Renormalization of a 1d quadratic Schr{ö}dinger model with additive noise
Deya, Aurélien
Fukuizumi, Reika
Thomann, Laurent
Analysis of PDEs
Probability
The study is devoted to the interpretation and wellposedness of the stochastic NLS model \begin{equation*} (\imath \partial_t-Δ)u=|u|^2+\dot{B}, \quad u_0=0,\quad \quad t\in \mathbb{R}, \ x\in \mathbb{T}, \end{equation*} where $\dot{B}$ stands for a space-time fractional noise with index $H=(H_0,H_1)$ in a subset of $(0,1)^{2}$. We first establish that in the situation where $0<2H_0+H_1\leq 2$, the equation cannot be interpreted in a (classical) functional sense.\\ \indent Our investigations then focus on the rough regime corresponding to the condition $\frac74<2H_0+H_1\leq 2$. In this specific case, we exhibit an \textit{explicit} renormalization procedure allowing to restore the (local) convergence of the approximated solutions. We follow a pathwise-type approach emphasizing the distinction between the stochastic objects at the core of the dynamics and the general deterministic machinery.
title Renormalization of a 1d quadratic Schr{ö}dinger model with additive noise
topic Analysis of PDEs
Probability
url https://arxiv.org/abs/2304.03114