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In this paper, we study the numerical stability of reduced order models for convection-dominated stochastic systems in a relatively simple setting: a stochastic Burgers equation with linear multiplicative noise. Our preliminary results…

Fluid Dynamics · Physics 2017-01-06 Traian Iliescu , Honghu Liu , Xuping Xie

We consider a 2D stochastic modified Swift-Hohenberg equations with multiplicative noise and periodic boundary. First, we establish the existence of local and global martingale and pathwise solutions in the regular Sobolev space $H^{2m}$…

Dynamical Systems · Mathematics 2024-04-24 Jintao Wang , Xiaoqian Zhang , Chunqiu Li

We develop a kernel-based approach for estimating the spatially varying Sobolev regularity~$s$ of an unknown $d$-variate function~$f$ from scattered sampling data, which quantifies the degree of local differentiability supported by the…

Numerical Analysis · Mathematics 2026-01-29 Xiaobin Li , Leevan Ling , Yizhong Sun

This work is devoted to investigating stochastic turbulence for the fluid flow in one-dimensional viscous Burgers equation perturbed by L\'evy space-time white noise with the periodic boundary condition. We rigorously discuss the regularity…

Probability · Mathematics 2021-06-08 Shenglan Yuan , Dirk Blömker , Jinqiao Duan

Spatial regularity properties of certain global-in-time solutions of the Zakharov system are established. In particular, the evolving solution $u(t)$ is shown to satisfy an estimate $\Hsup s {u(t)} \leq C {{|t|}^{(s-1)+}}$, where $H^s$ is…

Analysis of PDEs · Mathematics 2007-05-23 J. Colliander , G. Staffilani

In this paper, we study a class of stochastic partial differential equations (SPDEs) driven by space-time fractional noises. Our method consists in studying first the nonlocal SPDEs and showing then the convergence of the family of these…

Probability · Mathematics 2014-09-17 Ying Hu , Yiming Jiang , Zhongmin Qian

We study linear systems of ordinary differential equations of an arbitrary order on a finite interval with the most general (generic) inhomogeneous boundary conditions in Sobolev spaces. We investigate the character of solvability of…

Classical Analysis and ODEs · Mathematics 2023-11-27 Olena Atlasiuk , Vladimir Mikhailets

In this paper, we study a class of nonlinear space-time fractional stochastic kinetic equations in $\mathbb{R}^d$ with Gaussian noise which is white in time and homogeneous in space. This type of equation constitutes an extension of the…

Probability · Mathematics 2022-01-19 Junfeng Liu

In this paper we develop a new technique to prove existence of solutions of Fokker-Planck equations on Hilbert spaces for Kolmogorov operators with non trace-class second order coefficients or equivalently with an associated stochastic…

Probability · Mathematics 2018-06-18 G. Da Prato , F. Flandoli , M. Röckner

We will present exact solutions for three variations of stochastic Korteweg de Vries-Burgers (KdV-Burgers) equation featuring variable coefficients. In each variant, white noise exhibits spatial uniformity, and the three categories include…

Mathematical Physics · Physics 2024-04-01 Kolade Adjibi , Allan Martinez , Miguel Mascorro , Carlos Montes , Tamer Oraby , Rita Sandoval , Erwin Suazo

We study the stochastic nonlinear Schr\"odinger equations with additive stochastic forcing. By using the dispersive estimate, we present a simple argument, constructing a unique local-in-time solution with rougher stochastic forcing than…

Analysis of PDEs · Mathematics 2020-12-23 Tadahiro Oh , Oana Pocovnicu , Yuzhao Wang

In this paper we study the stochastic inhomogeneous incompressible Euler equations in the whole space $\RR^3$. We prove the existence and pathwise uniqueness of local solutions with both additive and multiplicative stochastic noise. Our…

Analysis of PDEs · Mathematics 2025-10-28 Claudia Espitia , David A. C. Mollinedo , Christian Olivera

This article is devoted to the numerical study of various finite difference approximations to the stochastic Burgers equation. Of particular interest in the one-dimensional case is the situation where the driving noise is white both in…

Probability · Mathematics 2013-09-20 Martin Hairer , Jochen Voss

We prove a result on the fractional Sobolev regularity of composition of paths of low fractional Sobolev regularity with functions of bounded variation. The result relies on the notion of variability, proposed by us in the previous article…

Probability · Mathematics 2022-06-20 Michael Hinz , Jonas M. Tölle , Lauri Viitasaari

We study mild solutions of a class of stochastic partial differential equations, involving operators with polynomially bounded coefficients. We consider semilinear equations under suitable hyperbolicity hypotheses on the linear part. We…

Analysis of PDEs · Mathematics 2018-09-27 Alessia Ascanelli , Sandro Coriasco , André Süß

We show existence of a regular solution in Sobolev-Slobodetskii spaces to stationary transport equation with inflow boundary condition in a bounded domain $\Omega \subset \mathbb{R}^2$. Our result is subject to quite general constraint on…

Analysis of PDEs · Mathematics 2016-02-19 Tomasz Piasecki

This work investigates the Sobolev regularity of solutions to perturbed fractional 1-Laplace equations. Under the assumption that weak solutions are locally bounded, we establish that the regularity properties are analogous to those…

Analysis of PDEs · Mathematics 2025-10-17 Dingding Li , Chao Zhang

In the paper regularity of solutions to stochastic Volterra equations in a separable Hilbert space is studied. Sufficient conditions for the temporal and spatial regularity of stochastic convolutions corresponding to the equations under…

Probability · Mathematics 2012-12-07 Anna Karczewska

In this paper, we develop low regularity theory for 3D Burgers equation perturbed by a linear multiplicative stochastic force. This method is new and essentially different from the deterministic partial differential equations(PDEs). Our…

Probability · Mathematics 2023-01-18 Zhao Dong , Boling Guo , Jiang-Lun Wu , Guoli Zhou

We study pathwise approximation of scalar stochastic differential equations at a single time point or globally in time by means of methods that are based on finitely many observations of the driving Brownian motion. We prove lower error…

Numerical Analysis · Mathematics 2017-10-25 Mario Hefter , André Herzwurm , Thomas Müller-Gronbach
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