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We consider a numerical approximation of a linear quadratic control problem constrained by the stochastic heat equation with non-homogeneous Neumann boundary conditions. This involves a combination of distributed and boundary control, as…

Numerical Analysis · Mathematics 2021-09-28 Peter Benner , Tony Stillfjord , Christoph Trautwein

In this article, we establish a probabilistic representation for the second-order moment of the solution of stochastic heat equation in $[0,1] \times \bR^d$, with multiplicative noise, which is fractional in time and colored in space. This…

Probability · Mathematics 2009-05-19 Raluca Balan

In this paper we obtain a Feynman-Kac formula for the solution of a fractional stochastic heat equation driven by fractional noise. One of the main difficulties is to show the exponential integrability of some singular nonlinear functionals…

Probability · Mathematics 2014-10-14 Xia Chen , Yaozhong Hu , Jian Song

We study the full Navier--Stokes--Fourier system governing the motion of a general viscous, heat-conducting, and compressible fluid subject to stochastic perturbation. Stochastic effects are implemented through (i) random initial data, (ii)…

Analysis of PDEs · Mathematics 2017-10-31 Dominic Breit , Eduard Feireisl

We prove that there exists a~large-data and global-in-time weak solution to a~system of partial differential equations describing an unsteady flow of an incompressible heat-conducting rate-type viscoelastic stress-diffusive fluid filling up…

Analysis of PDEs · Mathematics 2025-04-18 Michal Bathory , Miroslav Bulíček , Josef Málek

We present sufficient conditions for finite controlled rho-variation of the covariance of Gaussian processes with stationary increments, based on concavity or convexity of their variance function. The motivation for this type of conditions…

Probability · Mathematics 2013-11-04 Peter K. Friz , Benjamin Gess , Archil Gulisashvili , Sebastian Riedel

Let u = {u(t, x), t $\in$ [0, T ], x $\in$ R d } be the solution to the linear stochastic heat equation driven by a fractional noise in time with correlated spatial structure. We study various path properties of the process u with respect…

Probability · Mathematics 2015-01-28 Ciprian A. Tudor , Yimin Xiao

We present a Feynman-Kac formula for the $1$-dimensional stochastic heat equation (SHE) driven by a time-homogeneous Gaussian white noise potential, where the noise is interpreted in the Wick-It\^o-Skorokhod sense. Our approach consists in…

Probability · Mathematics 2021-08-30 Ramiro Scorolli

We consider a L\'evy process in the plane and we use it to construct a family of complex-valued random fields that we show to converge in law, in the space of continuous functions, to a complex Brownian sheet. We apply this result to obtain…

Probability · Mathematics 2020-04-28 Xavier Bardina , Juan Pablo Márquez , Lluís Quer-Sardanyons

We consider the stochastic Navier--Stokes equations in three dimensions and prove that the law of analytically weak solutions is not unique. In particular, we focus on three examples of a stochastic perturbation: an additive, a linear…

Probability · Mathematics 2021-10-28 Martina Hofmanová , Rongchan Zhu , Xiangchan Zhu

In this article we consider the stochastic heat equation $u_{t}-\Delta u=\dot B$ in $(0,T) \times \bR^d$, with vanishing initial conditions, driven by a Gaussian noise $\dot B$ which is fractional in time, with Hurst index $H \in (1/2,1)$,…

Probability · Mathematics 2008-08-01 Raluca Balan , Ciprian Tudor

We derive an It\^o's-type formula for the one dimensional stochastic heat equation driven by a space-time white noise. The proof is based on elementary properties of the $\mathcal{S}$-transform and on the explicit representation of the…

Probability · Mathematics 2007-05-23 Alberto Lanconelli

We put forward a new method for proving weak uniqueness of stochastic equations with singular drifts driven by a non-Markov or infinite-dimensional noise. We apply our method to study stochastic heat equation (SHE) driven by Gaussian…

Probability · Mathematics 2025-04-01 Oleg Butkovsky , Leonid Mytnik

We introduce a very weak space-time variational formulation for the wave equation, prove its well-posedness (even in the case of minimal regularity) and optimal inf-sup stability. Then, we introduce a tensor product-style space-time…

Numerical Analysis · Mathematics 2021-07-27 Julian Henning , Davide Palitta , Valeria Simoncini , Karsten Urban

In this paper, a new nonlinear heat equation is studied that arises as a model of the collective behavior of automated vehicles. The properties of the solutions of this equation are studied by introducing the appropriate notion of a weak…

Numerical Analysis · Mathematics 2022-10-11 Dionysis Theodosis , Iasson Karafyllis , George Titakis , Ioannis Papamichail , Markos Papageorgiou

In this paper, we study the stochastic heat equation with a general multiplicative Gaussian noise that is white in time and colored in space. Both regularity and strict positivity of the densities of the solution have been established. The…

Probability · Mathematics 2019-02-08 Le Chen , Jingyu Huang

We study the time-fractional stochastic heat equation driven by time-space white noise with space dimension $d\in\mathbb{N}=\{1,2,...\}$ and the fractional time-derivative is the Caputo derivative of order $\alpha \in (0,2)$. We consider…

Probability · Mathematics 2022-11-24 Rahma Yasmina Moulay Hachemi , Bernt Øksendal

We investigate a weak space-time formulation of the heat equation and its use for the construction of a numerical scheme. The formulation is based on a known weak space-time formulation, with the difference that a pointwise component of the…

Analysis of PDEs · Mathematics 2016-10-18 Stig Larsson , Matteo Molteni

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

In this paper we develop a stochastic integration theory for processes with values in a quasi-Banach space. The integrator is a cylindrical Brownian motion. The main results give sufficient conditions for stochastic integrability. They are…

Probability · Mathematics 2018-11-01 Petru A. Cioica-Licht , Sonja G. Cox , Mark C. Veraar