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We prove existence and uniqueness of solutions to a class of stochastic semilinear evolution equations with a monotone nonlinear drift term and multiplicative noise, considerably extending corresponding results obtained in previous work of…

偏微分方程分析 · 数学 2020-12-11 Carlo Marinelli , Luca Scarpa

This paper develops the necessary ingredients for the variational approach of initial boundary-value problems of parabolic partial differential equations on a fixed spatial domain containing evolving subdomains. In particular, we introduce…

偏微分方程分析 · 数学 2025-10-17 Van Chien Le , Karel Van Bockstal

We develop a nonlinear evolution framework for nonlinear parabolic equations with unbounded drift terms formulated in Lorentz spaces. The main contribution lies in the construction of uniformly m-accretive operators based on Lorentz-Sobolev…

偏微分方程分析 · 数学 2026-04-10 Thi Tam Dang , Trung Hau Hoang , Giandomenico Orlandi , Tuomo Valkonen

Stochastic partial differential equations (SPDEs) have become a key modelling tool in applications. Yet, there are many classes of SPDEs, where the existence and regularity theory for solutions is not completely developed. Here we…

概率论 · 数学 2018-10-05 Christian Kuehn , Alexandra Neamtu

We establish the first existence and uniqueness result for mild solutions of abstract stochastic evolution equations driven by arbitrary cylindrical L\'evy processes in Hilbert spaces. The coefficients are assumed to satisfy global…

概率论 · 数学 2026-05-14 Gergely Bodó , Sonja Cox , Adam Jakubowski , Markus Riedle

We establish a general theory of optimal strong error estimation for numerical approximations of a second-order parabolic stochastic partial differential equation with monotone drift driven by a multiplicative infinite-dimensional Wiener…

数值分析 · 数学 2022-03-02 Zhihui Liu , Zhonghua Qiao

We study stochastic differential equations driven by finite-order chaos processes on abstract Wiener spaces, with pathwise Riemann-Stieltjes integration. The driving noise is an $\mathbb{R}^m$-valued chaotic process given by multiple…

概率论 · 数学 2026-04-28 Laurent Loosveldt , Yassine Nachit , Ivan Nourdin

Stochastic evolution equations in Banach spaces with unbounded nonlinear drift and diffusion operators are considered. Under some regularity condition assumed for the solution, the rate of convergence of implicit Euler approximations is…

概率论 · 数学 2008-02-20 Istvan Gyöngy , Annie Millet

In this paper, we establish the well-posedness and optimal trajectory regularity for the solution of stochastic evolution equations with generalized Lipschitz-type coefficients driven by general multiplicative noises. To ensure the…

偏微分方程分析 · 数学 2019-02-25 Jialin Hong , Zhihui Liu

These notes are based on a series of lectures given first at the University of Warwick in spring 2008 and then at the Courant Institute, Imperial College London, and EPFL. It is an attempt to give a reasonably self-contained presentation of…

概率论 · 数学 2023-07-04 Martin Hairer

Semilinear stochastic partial differential equations on bounded domains $\mathscr{D}$ are considered. The semilinear term may have arbitrary polynomial growth as long as it is continuous and monotone except perhaps near the origin. Typical…

概率论 · 数学 2019-09-25 Neelima , David Šiška

We prove a maximum principle for mild solutions to stochastic evolution equations with (locally) Lipschitz coefficients and Wiener noise on weighted $L^2$ spaces. As an application, we provide sufficient conditions for the positivity of…

偏微分方程分析 · 数学 2020-01-01 Carlo Marinelli

This work contributes to the limited literature on estimating the diffusivity or drift coefficient of nonlinear SPDEs driven by additive noise. Assuming that the solution is measured locally in space and over a finite time interval, we show…

统计理论 · 数学 2022-09-12 Randolf Altmeyer , Igor Cialenco , Gregor Pasemann

Consider stochastic partial differential equations (SPDEs) with fully local monotone coefficients in a Gelfand triple $V\subseteq H\subseteq V^*$ $$ \left\{ \begin{align} &dX_t=A(t,X_t)dt+B(t,X_t)dW_t,\ t\in (0,T]\\\\& X_0=x\in H,…

概率论 · 数学 2024-01-11 Tianyi Pan , Shijie Shang , Jianliang Zhai , Tusheng Zhang

In this paper we study properties of solutions to stochastic differential equations with Sobolev diffusion coefficients and singular drifts. The properties we study include stability with respect to the coefficients, weak differentiability…

概率论 · 数学 2015-11-25 Xicheng Zhang

We consider the numerical approximation of the mild solution to a semilinear stochastic wave equation driven by additive noise. For the spatial approximation we consider a standard finite element method and for the temporal approximation, a…

数值分析 · 数学 2023-12-06 Mihály Kovács , Annika Lang , Andreas Petersson

In this paper we establish the strong existence, pathwise uniqueness and a comparison theorem to a stochastic partial differential equation driven by Gaussian colored noise with non-Lipschitz drift, H\"older continuous diffusion…

概率论 · 数学 2020-06-02 Jie Xiong , Xu Yang

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…

偏微分方程分析 · 数学 2018-09-27 Alessia Ascanelli , Sandro Coriasco , André Süß

In this paper we study general nonlinear stochastic differential equations, where the usual Brownian motion is replaced by a L\'evy process. We also suppose that the coefficient multiplying the increments of this process is merely Lipschitz…

概率论 · 数学 2007-07-19 Benjamin Jourdain , Sylvie Méléard , Wojbor Woyczynski

We prove well-posedness for doubly nonlinear parabolic stochastic partial differential equations of the form $dX_t-\text{div}\,\gamma(\nabla X_t)\,dt+\beta(X_t)\,dt\ni B(t,X_t)\,dW_t$, where $\gamma$ and $\beta$ are the two nonlinearities,…

偏微分方程分析 · 数学 2017-05-23 Luca Scarpa