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We study the stochastic cubic nonlinear wave equation (SNLW) with an additive noise on the three-dimensional torus $\mathbb{T}^3$. In particular, we prove local well-posedness of the (renormalized) SNLW when the noise is almost a space-time…

Analysis of PDEs · Mathematics 2022-05-31 Tadahiro Oh , Yuzhao Wang , Younes Zine

We study the two-dimensional stochastic nonlinear wave equations (SNLW) with an additive space-time white noise forcing. In particular, we introduce a time-dependent renor- malization and prove that SNLW is pathwise locally well-posed. As…

Probability · Mathematics 2018-05-24 Massimiliano Gubinelli , Herbert Koch , Tadahiro Oh

We pursue the investigations initiated in [Aur{\'e}lien Deya: A non-linear wave equation with fractional perturbation (2017)] about a wave-equation model with quadratic perturbation and stochastic forcing given by a space-time fractional…

Probability · Mathematics 2017-10-24 Aurélien Deya

In this note, we establish a bi-parameter linear localization of the one-dimensional stochastic wave equation with a multiplicative space-time white noise forcing.

Analysis of PDEs · Mathematics 2024-07-16 Jingyu Huang , Tadahiro Oh , Mamoru Okamoto

We apply the paracontrolled calculus to study the asymptotic behavior of a certain quasilinear PDE with smeared mild noise, which originally appears as the space-time scaling limit of a particle system in random environment on one…

Probability · Mathematics 2020-05-08 Tadahisa Funaki , Masato Hoshino , Sunder Sethuraman , Bin Xie

In this work, we deal with the stochastic counterpart of the nonlocal Cahn-Hilliard equation with regular potential in a smooth bounded one-, two- or three-dimensional domain. The problem is endowed with homogeneous Neumann boundary…

Analysis of PDEs · Mathematics 2026-04-29 Andrea Di Primio , Christoph Hurm

We study a $d$-dimensional wave equation model ($2\leq d\leq 4$) with quadratic non-linearity and stochastic forcing given by a space-time fractional noise. Two different regimes are exhibited, depending on the Hurst parameter…

Probability · Mathematics 2021-05-21 Aurélien Deya

We sharpen in this work the tools of paracontrolled calculus in order to provide a complete analysis of the parabolic Anderson model equation and Burgers system with multiplicative noise, in a $3$-dimensional Riemannian setting, in either…

Analysis of PDEs · Mathematics 2017-04-26 I. Bailleul , F. Bernicot , D. Frey

We study the two-dimensional wave equation with cubic nonlinearity posed on $\mathbb R^2$, with space-time white noise forcing. After a suitable renormalisation of the nonlinearity, we prove global well-posedness for this equation for…

Analysis of PDEs · Mathematics 2021-09-07 Leonardo Tolomeo

We study the singular stochastic wave equation on $\mathbb T^2$, with a cubic nonlinearity and Gaussian rough Mat\'ern forcing (a Fourier multiplier of order $\alpha>0$ applied to space-time white noise) and establish local well-posedness…

Probability · Mathematics 2025-10-15 Xue-Mei Li , Xianfeng Ren

We study strictly parabolic stochastic partial differential equations on $\R^d$, $d\ge 1$, driven by a Gaussian noise white in time and coloured in space. Assuming that the coefficients of the differential operator are random, we give…

Probability · Mathematics 2007-05-23 Marco Ferrante , Marta Sanz-Solé

We consider a quasilinear parabolic stochastic partial differential equation driven by a multiplicative noise and study regularity properties of its weak solution satisfying classical a priori estimates. In particular, we determine…

Numerical Analysis · Mathematics 2015-03-13 Arnaud Debussche , Sylvain De Moor , Martina Hofmanova

We develop in this work a general version of paracontrolled calculus that allows to treat analytically within this paradigm some singular partial differential equations with the same efficiency as regularity structures. This work deals with…

Classical Analysis and ODEs · Mathematics 2019-10-11 I. Bailleul , F. Bernicot

We study the stochastic dissipative quasi-geostrophic equation with space-time white noise on the two-dimensional torus. This equation is highly singular and basically ill-posed in its original form. The main objective of the present paper…

Probability · Mathematics 2020-07-30 Yuzuru Inahama , Yoshihiro Sawano

In a recent work [DDRZ20], it has been developed a novel framework aimed at studying at a perturbative level a large class of non-linear, scalar, real, stochastic PDEs and inspired by the algebraic approach to quantum field theory. The main…

Mathematical Physics · Physics 2023-04-04 Alberto Bonicelli , Claudio Dappiaggi , Paolo Rinaldi

We study the stochastic viscous nonlinear wave equations (SvNLW) on $\mathbb T^2$, forced by a fractional derivative of the space-time white noise $\xi$. In particular, we consider SvNLW with the singular additive forcing $D^\frac{1}{2}\xi$…

Analysis of PDEs · Mathematics 2022-05-31 Ruoyuan Liu , Tadahiro Oh

We study the stochastic cubic complex Ginzburg-Landau equation with complex-valued space-time white noise on the three dimensional torus. This nonlinear equation is so singular that it can only be under- stood in a renormalized sense. In…

Probability · Mathematics 2017-11-22 Masato Hoshino , Yuzuru Inahama , Nobuaki Naganuma

We introduce a non-linear paracontrolled calculus and use it to renormalise a class of singular SPDEs including certain quasilinear variants of the periodic two dimensional parabolic Anderson model.

Probability · Mathematics 2017-11-10 M. Furlan , M. Gubinelli

We consider the problem of estimating stochastic volatility for a class of second-order parabolic stochastic PDEs. Assuming that the solution is observed at a high temporal frequency, we use limit theorems for multipower variations and…

Statistics Theory · Mathematics 2020-06-02 Carsten Chong

This paper investigates the parabolic scaling limit of a damped stochastic wave map from the real line into the two-dimensional sphere, perturbed by multiplicative Gaussian noise of co-normal type. We prove that under this rescaling, the…

Probability · Mathematics 2025-07-29 Sandra Cerrai , Mengzi Xie
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