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In this paper, we study the stochastic heat equation (SHE) on $\mathbb{R}^d$ subject to a centered Gaussian noise that is white in time and colored in space. We establish the existence and uniqueness of the random field solution in the…

Probability · Mathematics 2022-08-09 Le Chen , Jingyu Huang

We study the stochastic heat equation in two spatial dimensions with a multiplicative white noise, as the limit of the equation driven by a noise that is mollified in space and white in time. As the mollification radius $ \varepsilon\to 0…

Probability · Mathematics 2021-03-17 Yu Gu , Jeremy Quastel , Li-Cheng Tsai

We investigate the growth of the tallest peaks of random field solutions to the parabolic Anderson models over concentric balls as the radii approach infinity. The noise is white in time and correlated in space. The spatial correlation…

Probability · Mathematics 2017-03-02 Jingyu Huang , Khoa Lê

We study the large-scale dynamics of the solution to a nonlinear stochastic heat equation (SHE) in dimensions $d \geq 3$ with long-range dependence. This equation is driven by multiplicative Gaussian noise, which is white in time and…

Probability · Mathematics 2025-01-16 Luca Gerolla , Martin Hairer , Xue-Mei Li

We study the stochastic heat equation (SHE) $\partial_t u = \frac12 \Delta u + \beta u \xi$ driven by a multiplicative L\'evy noise $\xi$ with positive jumps and amplitude $\beta>0$, in arbitrary dimension $d\geq 1$. We prove the existence…

Probability · Mathematics 2023-07-12 Quentin Berger , Carsten Chong , Hubert Lacoin

Optimal upper and lower error estimates for strong full-discrete numerical approximations of the stochastic heat equation driven by space-time white noise are obtained. In particular, we establish the optimality of strong convergence rates…

Probability · Mathematics 2021-11-02 Sebastian Becker , Benjamin Gess , Arnulf Jentzen , Peter E. Kloeden

In this paper, we study the stochastic heat equation in the spatial domain $\mathbb{R}^d$ subject to a Gaussian noise which is white in time and colored in space. The spatial correlation can be any symmetric, nonnegative and…

Probability · Mathematics 2015-10-22 Le Chen , Kunwoo Kim

The solution to the initial and Dirichlet boundary value problem for a semilinear, one dimensional heat equation is approximated by a numerical method that combines the Besse relaxation scheme in time (C. R. Acad. Sci. Paris S{\'e}r. I,…

Numerical Analysis · Mathematics 2018-12-24 Georgios E. Zouraris

We study the martingale formulation of the two-dimensional stochastic heat equation (SHE) at criticality. The main theorem proves an exact recursive-type equation that expresses the covariation measures of the SHE in terms of the solutions…

Probability · Mathematics 2026-03-10 Yu-Ting Chen

In this paper, we investigate stochastic heat equation with sublinear diffusion coefficients. By assuming certain concavity of the diffusion coefficient, we establish non-trivial moment upper bounds and almost sure spatial asymptotic…

Probability · Mathematics 2023-06-13 Le Chen , Panqiu Xia

We consider two steady-state heat conduction systems called, $S$ and $S_\alpha$, in a multidimensional bounded domain $D$ for the Poisson equation with source energy $g$. In one system, we impose mixed boundary conditions (temperature $b$…

Numerical Analysis · Mathematics 2026-03-13 Julieta Bollati , Mariela C. Olguin , Domingo A. Tarzia

We study the \textit{stochastic heat equation} (SHE) on $\R^d$ subject to a centered Gaussian noise that is white in time and colored in space.The drift term is assumed to satisfy an Osgood-type condition and the diffusion coefficient may…

Probability · Mathematics 2023-10-04 Le Chen , Mohammud Foondun , Jingyu Huang , Michael Salins

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

Higher order fluctuation expansions for stochastic heat equations (SHE) with nonlinear, non-conservative and conservative noise are obtained. These Edgeworth-type expansions describe the asymptotic behavior of solutions in suitable joint…

Probability · Mathematics 2024-06-27 Benjamin Gess , Zhengyan Wu , Rangrang Zhang

This is a preliminary announcement of results in the PhD. thesis of the first author concerning the nonlinear stochastic heat equation in the spatial domain $\R$, driven by space-time white noise. A central special case is the parabolic…

Probability · Mathematics 2012-10-08 Le Chen , Robert C. Dalang

We give a rigorous proof of the contour integral formulas of the moments of the stochastic heat equation (SHE) started from the delta initial measure at the origin. These formulas were conjectured in [BC14] (see also [CDR10, Dot10]). Our…

Probability · Mathematics 2018-10-17 Promit Ghosal

We consider a nonlinear stochastic heat equation in spatial dimension $d=2$, forced by a white-in-time multiplicative Gaussian noise with spatial correlation length $\varepsilon>0$ but divided by a factor of $\sqrt{\log\varepsilon^{-1}}$.…

Probability · Mathematics 2022-04-29 Alexander Dunlap , Yu Gu

Consider the following stochastic heat equation, \begin{align*} \frac{\partial u_t(x)}{\partial t}=-\nu(-\Delta)^{\alpha/2} u_t(x)+\sigma(u_t(x))\dot{F}(t,\,x), \quad t>0, \; x \in R^d. \end{align*} Here $-\nu(-\Delta)^{\alpha/2}$ is the…

Probability · Mathematics 2019-12-03 Mohammud Foondun , Eulalia Nualart

We establish the stochastic comparison principles, including moment comparison principle as a special case, for solutions to the following nonlinear stochastic heat equation on $\mathbb{R}^d$ \[ \left(\frac{\partial }{\partial t}…

Probability · Mathematics 2019-12-12 Le Chen , Kunwoo Kim

We establish sharp higher-order heat estimates with complete bound on the noncommutative tori \(\mathbb{T}_{\theta}^{n}\) and show the optimality in the small-time order. As an application in polynomial semilinear heat equations on…

Analysis of PDEs · Mathematics 2026-05-26 Fulin Yang , Zhipeng Yang
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