中文
相关论文

相关论文: Strong and weak convergence for averaging principl…

200 篇论文

We investigate weighted Sobolev regularity of weak solutions of non-homogeneous parabolic equations with singular divergence-free drifts. Assuming that the drifts satisfy some mild regularity conditions, we establish local weighted…

偏微分方程分析 · 数学 2017-01-03 Tuoc Phan

This work is concerned with model reduction of stochastic differential equations and builds on the idea of replacing drift and noise coefficients of preselected relevant, e.g. slow variables by their conditional expectations. We extend…

偏微分方程分析 · 数学 2020-03-05 Carsten Hartmann , Lara Neureither , Upanshu Sharma

This article deals with the limit distribution for a stochastic differential equation driven by a non-symmetric cylindrical $\alpha$-stable process. Under suitable conditions, it is proved that the solution of this equation converges weakly…

概率论 · 数学 2023-02-20 Ting Li , Hongbo Fu , Xianming Liu

This work investigates the strong and weak convergence orders of numerical methods for SDEs driven by time-changed L\'{e}vy noise under the globally Lipschitz conditions. Based on the duality theorem, we prove that the numerical…

数值分析 · 数学 2025-04-29 Ziheng Chen , Jiao Liu , Anxin Wu

The paper studies the rate of convergence of the weak Euler approximation for It\^{o} diffusion and jump processes with H\"{o}lder-continuous generators. It covers a number of stochastic processes including the nondegenerate diffusion…

概率论 · 数学 2014-01-13 Remigijus Mikulevičius , Changyong Zhang

In this paper, we study large and moderate deviation principles for stochastic partial differential equations (SPDEs) on metric graphs and their associated multiscale models via the weak convergence approach, providing a refined…

概率论 · 数学 2025-09-09 Jianbo Cui , Derui Sheng

The convergence of stochastic integrals driven by a sequence of Wiener processes $W_n\to W$ (with convergence in $C_t$) is crucial in the analysis of stochastic partial differential equations (SPDEs). The convergence we focus on in this…

概率论 · 数学 2023-08-24 Kenneth H. Karlsen , Peter H. C. Pang

In this paper, exploiting the regularities of the corresponding Kolmogorov equations involved we investigate strong convergence of exponential integrator scheme for a range of stochastic partial differential equations, in which the drift…

概率论 · 数学 2017-03-30 Jianhai Bao , Xing Huang , Chenggui Yuan

In this paper, we study the asymptotic behavior of a fully-coupled slow-fast McKean-Vlasov stochastic system. Using the non-linear Poisson equation on Wasserstein space, we first establish the strong convergence in the averaging principle…

概率论 · 数学 2022-07-14 Yun Li , Longjie Xie

The rate of strong convergence is investigated for an approximation scheme for a class of stochastic differential equations driven by a time-changed Brownian motion, where the random time changes $(E_t)_{t\ge 0}$ considered include the…

概率论 · 数学 2020-03-02 Sixian Jin , Kei Kobayashi

We discretize the stochastic Allen-Cahn equation with additive noise by means of a spectral Galerkin method in space and a tamed version of the exponential Euler method in time. The resulting error bounds are analyzed for the…

数值分析 · 数学 2021-01-20 Meng Cai , Siqing Gan , Xiaojie Wang

We study the validity of an averaging principle for a slow-fast system of stochastic reaction diffusion equations. We assume here that the coefficients of the fast equation depend on time, so that the classical formulation of the averaging…

概率论 · 数学 2016-02-19 Sandra Cerrai , Alessandra Lunardi

We are interested in the Euler-Maruyama discretization of a stochastic differential equation in dimension $d$ with constant diffusion coefficient and bounded measurable drift coefficient. In the scheme, a randomization of the time variable…

概率论 · 数学 2020-11-13 Oumaima Bencheikh , Benjamin Jourdain

Averaging is an important method to extract effective macroscopic dynamics from complex systems with slow modes and fast modes. This article derives an averaged equation for a class of stochastic partial differential equations without any…

偏微分方程分析 · 数学 2009-04-10 W. Wang , A. J. Roberts

We consider the Euler-Maruyama approximation for multi-dimensional stochastic differential equations with irregular coefficients. We provide the rate of strong convergence where the possibly discontinuous drift coefficient satisfies a…

概率论 · 数学 2014-04-11 Hoang-Long Ngo , Dai Taguchi

Rate-independent systems arise in a number of applications. Usually, weak solutions to such problems with potentially very low regularity are considered, requiring mathematical techniques capable of handling nonsmooth functions. In this…

偏微分方程分析 · 数学 2017-08-18 Filip Rindler , Sebastian Schwarzacher , Endre Süli

In this paper, we study averaging principle for a class of McKean-Vlasov stochastic differential equations (SDEs) that contain multiplicative fractional noise with Hurst parameter $H > $ 1/2 and highly oscillatory drift coefficient. Here…

概率论 · 数学 2023-06-06 Bin Pei , Lifang Feng , Min Han

We employ weak hypocoercivity methods to study the long-term behavior of operator semigroups generated by degenerate Kolmogorov operators with variable second-order coefficients, which solve the associated abstract Cauchy problem. We prove…

概率论 · 数学 2021-10-13 Alexander Bertram , Martin Grothaus

In this paper, by utilizing Wang's Harnack inequality with power and the Banach fixed point theorem, the weak well-posedness for McKean-Vlasov SDEs with integrable drift is investigated. In addition, using the decoupled method, some…

概率论 · 数学 2021-10-19 Xing Huang , Shen Wang , Fen-Fen Yang

In recent years, an intensive study of strong approximation of stochastic differential equations (SDEs) with a drift coefficient that may have discontinuities in space has begun. In many of these results it is assumed that the drift…

概率论 · 数学 2021-03-01 Larisa Yaroslavtseva