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In this paper, we establish the large deviation principles for stochastic porous media equations driven by time-dependent multiplicative noise on $\sigma$-finite measure space $(E,\mathcal{B}(E),\mu)$, and the Laplacian replaced by a…

概率论 · 数学 2023-04-06 Weina Wu , Jianliang Zhai

The solutions of SDEs with multiplicative noise are not Markovian. On a coarse-grained time scale they still are, but only in the "anti-Ito" case. This allows a simple computation of the most likely path. Any density peak moves along such a…

综合物理 · 物理学 2021-09-27 Dietrich Ryter

In this paper, we investigate a numerical approximation of a general second order semilinear parabolic non-autonomous stochastic partial differential equation (SPDE) driven by additive noise. Numerical approximations for autonomous SPDEs…

数值分析 · 数学 2018-09-18 Jean Daniel Mukam , Antoine Tambue

We propose and analyse a new type of fully discrete surface finite element approximation of a class of linear parabolic stochastic evolution equations with additive noise. Our discretization uses a surface finite element approximation of…

数值分析 · 数学 2025-10-10 Øyvind Stormark Auestad , Geir-Arne Fuglstad , Annika Lang

We propose a sparse grid stochastic collocation method for long-time simulations of stochastic differential equations (SDEs) driven by white noise. The method uses pre-determined sparse quadrature rules for the forcing term and constructs…

数值分析 · 数学 2017-06-13 H. Cagan Ozen , Guillaume Bal

We develop a solution theory in H\"older spaces for a quasilinear stochastic PDE driven by an additive noise. The key ingredients are two deterministic PDE Lemmas which establish a priori H\"older bounds for an equation with irregular right…

偏微分方程分析 · 数学 2017-07-06 Felix Otto , Hendrik Weber

In this paper we study the Large Deviation Principle (LDP in abbreviation) for a class of Stochastic Partial Differential Equations (SPDEs) in the whole space $\mathbb{R}^d$, with arbitrary dimension $d\geq 1$, under random influence which…

概率论 · 数学 2015-05-20 Tarik El Mellali , Mohamed Mellouk

We prove the strong Feller property and exponential mixing for 3D stochastic Navier-Stokes equation driven by mildly degenerate noises (i.e. all but finitely many Fourier modes are forced) via Kolmogorov equation approach.

概率论 · 数学 2010-01-30 Sergio Albeverio , Arnaud Debussche , Lihu Xu

This article presents explicit exponential integrators for stochastic Maxwell's equations driven by both multiplicative and additive noises. By utilizing the regularity estimate of the mild solution, we first prove that the strong order of…

数值分析 · 数学 2020-04-22 David Cohen , Jianbo Cui , Jialin Hong , Liying Sun

The paper studies the well-posedness and optimal error estimates of spectral finite element approximations for the boundary value problems of semi-linear elliptic SPDEs driven by white or colored Gaussian noises. The noise term is…

数值分析 · 数学 2020-06-08 Yanzhao Cao , Jialin Hong , Zhihui Liu

We prove a large deviation principle for stochastic differential equations driven by semimartingales, with additive controls. Conditions are given in terms of characteristics of driven semimartingales, so that if the noise-control pairs…

概率论 · 数学 2024-08-13 Qiao Huang , Wei Wei , Jinqiao Duan

We study the stochastic nonlinear Schroedinger equations with linear multiplicative noise, particularly in the defocusing mass-critical and energy-critical cases. For general initial data, we prove the global existence and uniqueness of…

概率论 · 数学 2018-11-06 Deng Zhang

In this article we present a way of treating stochastic partial differential equations with multiplicative noise by rewriting them as stochastically perturbed evolutionary equations in the sense of \cite{picardbook}, where a general…

概率论 · 数学 2016-11-08 André Süß , Marcus Waurick

In the paper arXiv:1802.03250, a criterion for exponential mixing is established for a class of random dynamical systems. In that paper, the criterion is applied to PDEs perturbed by a noise localised in the Fourier space. In the present…

偏微分方程分析 · 数学 2021-03-12 Vahagn Nersesyan

We consider the numerical approximation of a general second order semi--linear parabolic stochastic partial differential equation (SPDE) driven by additive space-time noise. We introduce a new modified scheme using a linear functional of…

数值分析 · 数学 2016-07-20 Gabriel J Lord , Antoine Tambue

This article studies the Stochastic Degasperis-Procesi (SDP) equation on $\mathbb{R}$ with an additive noise. Applying the kinetic theory, and considering the initial conditions in $L^2(\mathbb{R})\cap L^{2+\delta}(\mathbb{R})$, for…

概率论 · 数学 2024-09-05 Lynnyngs K. Arruda , Nikolai V. Chemetov , Fernanda Cipriano

White noise-driven nonlinear stochastic partial differential equations (SPDEs) of parabolic type are frequently used to model physical and biological systems in space dimensions d = 1,2,3. Whereas existence and uniqueness of weak solutions…

数值分析 · 数学 2015-05-27 Marc D. Ryser , Nilima Nigam , Paul F. Tupper

We prove the existence of random attractors for a large class of degenerate stochastic partial differential equations (SPDE) perturbed by joint additive Wiener noise and real, linear multiplicative Brownian noise, assuming only the standard…

概率论 · 数学 2015-06-05 Benjamin Gess

In this paper we consider a general class of second order stochastic partial differential equations on $\mathbb{R}^d$ driven by a Gaussian noise which is white in time and it has a homogeneous spatial covariance. Using the techniques of…

概率论 · 数学 2014-10-08 Yaozhong Hu , Jingyu Huang , David Nualart , Xiaobin Sun

Consider a parabolic stochastic PDE of the form $\partial_t u=\frac{1}{2}\Delta u + \sigma(u)\eta$, where $u=u(t\,,x)$ for $t\ge0$ and $x\in\mathbb{R}^d$, $\sigma:\mathbb{R}\rightarrow\mathbb{R}$ is Lipschitz continuous and non random, and…

概率论 · 数学 2019-07-29 Le Chen , Davar Khoshnevisan , David Nualart , Fei Pu