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We consider a stochastic partial differential equation with piecewise constant coefficients driven by a multiplicative space-time white noise. The existence and uniqueness of the mild solution in Walsh sense is established. We mainly study…

Probability · Mathematics 2025-11-18 Yongkang Li , Huisheng Shu , Litan Yan

We consider the linear stochastic heat equation on $\mathbb{R}^\ell$, driven by a Gaussian noise which is colored in time and space. The spatial covariance satisfies general assumptions and includes examples such as the Riesz kernel in any…

Probability · Mathematics 2017-04-28 Jingyu Huang , Khoa Lê , David Nualart

We study the smoothness of the density of a semilinear heat equation with multiplicative spacetime white noise. Using Malliavin calculus, we reduce the problem to a question of negative moments of solutions of a linear heat equation with…

Probability · Mathematics 2011-02-18 Carl Mueller , David Nualart

In this note we consider stochastic heat equation with general additive Gaussian noise. Our aim is to derive some necessary and sufficient conditions on the Gaussian noise in order to solve the corresponding heat equation. We investigate…

Probability · Mathematics 2018-03-22 Yaozhong Hu , Yanghui Liu , Samy Tindel

This paper studies the stochastic heat equation with multiplicative noises of the form uW, where W is a mean zero Gaussian noise and the differential element uW is interpreted both in the sense of Skorohod and Stratonovich. The existence…

Probability · Mathematics 2014-02-12 Yaozhong Hu , Jingyu Huang , David Nualart , Samy Tindel

A standard finite element method discretizes the stochastic linear Schr\"{o}dinger equation driven by additive noise in the spatial variables. The weak convergence of the resulting approximate solution is analyzed, and it is established…

Probability · Mathematics 2025-03-18 Mangala Prasad

We propose a time-implicit, finite-element based space-time discretization of the necessary and sufficient optimality conditions for the stochastic linear-quadratic optimal control problem with the stochastic heat equation driven by linear…

Optimization and Control · Mathematics 2020-12-09 Andreas Prohl , Yanqing Wang

We use the formalism of Hairer's regularity structures theory \cite{hai-14} to study a heat equation with non-linear perturbation driven by a space-time fractional noise. Different regimes are observed, depending on the global pathwise…

Probability · Mathematics 2015-11-06 Aurélien Deya

We consider the (unique) mild solution $u(t,x)$ of a 1-dimensional stochastic heat equation on $[0,T]\times\mathbb R$ driven by time-homogeneous white noise in the Wick-Skorokhod sense. The main result of this paper is the computation of…

Probability · Mathematics 2021-12-22 Hyun-Jung Kim , Ramiro Scorolli

A fully discrete approximation of the one-dimensional stochastic heat equation driven by multiplicative space-time white noise is presented. The standard finite difference approximation is used in space and a stochastic exponential method…

Numerical Analysis · Mathematics 2017-12-01 Rikard Anton , David Cohen , Lluis Quer-Sardanyons

We investigate the heat equation with a time-dependent, anisotropic, and potentially singular diffusivity tensor. Since weak (in the Sobolev sense) or distributional solutions may not exist in this setting, we employ the framework of very…

Analysis of PDEs · Mathematics 2026-04-28 Zhirayr Avetisyan , Zahra Keyshams , Monire Mikaeili Nia , Michael Ruzhansky

We investigate the heat equation with a time-dependent, anisotropic, and potentially singular diffusivity tensor. Since weak (in the Sobolev sense) or distributional solutions may not exist in this setting, we employ the framework of very…

Analysis of PDEs · Mathematics 2025-07-22 Zhirayr Avetisyan , Zahra Keyshams , Monire Mikaeili Nia , Michael Ruzhansky

We study the error of the Euler scheme applied to a stochastic partial differential equation. We prove that as it is often the case, the weak order of convergence is twice the strong order. A key ingredient in our proof is Malliavin…

Numerical Analysis · Mathematics 2008-12-18 Arnaud Debussche

We study a class of stochastic evolution equations in a Banach space $E$ driven by cylindrical Wiener process. Three different concept of solutions: generalised strong, weak and mild are defined and the conditions under which they are…

Functional Analysis · Mathematics 2014-02-27 Mariusz Górajski

We introduce a time-implicit, finite-element based space-time discretization scheme for the backward stochastic heat equation, and for the forward-backward stochastic heat equation from stochastic optimal control, and prove strong rates of…

Optimization and Control · Mathematics 2020-12-21 Andreas Prohl , Yanqing Wang

In this paper we consider a system of non-linear stochastic heat equations on $\mathbb{R}^d$ driven by a Gaussian noise which is white in time and has a homogeneous spatial covariance. Under some suitable regularity and non degeneracy…

Probability · Mathematics 2016-07-06 Yinghui Shi , Xiaobin Sun

We derive consistent and asymptotically normal estimators for the drift and volatility parameters of the stochastic heat equation driven by an additive space-only white noise when the solution is sampled discretely in the physical domain.…

Probability · Mathematics 2021-07-15 Igor Cialenco , Hyun-Jung Kim

In this paper, we study a nonlinear one spatial dimensional stochastic heat equations driven by Gaussian noise: $\frac{\partial u }{\partial t}=\frac{\partial^2 u }{\partial x^2}+\sigma(u )\dot{W} $, where $\dot{W} $ is white in time and…

Probability · Mathematics 2021-01-05 Yaozhong Hu , Xiong Wang

We give an introduction to the time-fractional stochastic heat equation driven by 1+d-parameter fractional time-space white noise, in the following two cases: (i) With additive noise (ii) With multiplicative noise. The fractional time…

Probability · Mathematics 2024-02-28 Rahma Yasmina Moulay Hachemi , Bernt Øksendal

The aim of this paper is to study the $d$-dimensional stochastic heat equation with a multiplicative Gaussian noise which is white in space and it has the covariance of a fractional Brownian motion with Hurst parameter $% H\in (0,1)$ in…

Probability · Mathematics 2007-05-23 Yaozhong Hu , David Nualart