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This paper focuses on explicit approximations for nonlinear stochastic delay differential equations (SDDEs). Under the weakly local Lipschitz and some suitable conditions, a generic truncated Euler-Maruyama (TEM) scheme for SDDEs is…

数值分析 · 数学 2020-08-20 Guoting Song , Junhao Hu , Shuaibin Gao , Xiaoyue Li

We are interested in the strong convergence and almost sure stability of Euler-Maruyama (EM) type approximations to the solutions of stochastic differential equations (SDEs) with non-linear and non-Lipschitzian coefficients. Motivation…

数值分析 · 数学 2012-04-10 Xuerong Mao , Lukasz Szpruch

We study the strong approximation of the solutions to singular stochastic kinetic equations (also referred to as second-order SDEs) driven by $\alpha$-stable processes, using an Euler-type scheme inspired by [11]. For these equations, the…

概率论 · 数学 2025-11-18 Chengcheng Ling

Many stochastic differential equations (SDEs) in the literature have a superlinearly growing nonlinearity in their drift or diffusion coefficient. Unfortunately, moments of the computationally efficient Euler-Maruyama approximation method…

概率论 · 数学 2020-11-25 Martin Hutzenthaler , Arnulf Jentzen

Consider the following stochastic differential equation (SDE) $$dX_t = b(t,X_{t-}) \, dt+ dL_t, \quad X_0 = x,$$ driven by a $d$-dimensional L\'evy process $(L_t)_{t \geq 0}$. We establish conditions on the L\'evy process and the drift…

概率论 · 数学 2020-05-01 Franziska Kühn , René L. Schilling

This paper establishes a quantitative stability theory for one-dimensional stochastic differential equations (SDEs) with non-zero drift, driven by a symmetric $\alpha$-stable process for $\alpha\in(1,2)$. Our work generalizes the classical…

概率论 · 数学 2026-04-21 Takuya Nakagawa

Both the mean square polynomial stability and exponential stability of $\theta$ Euler-Maruyama approximation solutions of stochastic differential equations will be investigated for each $0\le\theta\le 1$ by using an auxiliary function $F$…

数值分析 · 数学 2014-09-18 Yunjiao Hu , Guangqiang Lan , Chong Zhang

We study the convergence of a generic tamed Euler-Maruyama (EM) scheme for the kinetic type stochastic differential equations (SDEs) (also known as second order SDEs) with singular coefficients in both weak and strong probabilistic senses.…

概率论 · 数学 2024-09-10 Zimo Hao , Khoa Lê , Chengcheng Ling

In this paper, we consider a class of stochastic differential equations driven by symmetric non-degenerate $\alpha$-stable processes (including cylindrical ones) with $\alpha \in (1,2)$. We first establish a quantitative estimate for the…

概率论 · 数学 2026-04-10 Zimo Hao , Mingyan Wu

In this paper, we consider the equivalence of the $p$th moment exponential stability for stochastic differential equations (SDEs), stochastic differential equations with piecewise continuous arguments (SDEPCAs) and the corresponding…

数值分析 · 数学 2020-01-16 Minghui Song , Yidan Geng , Mingzhu Liu

In this article, we are interested in the strong well-posedness together with the numerical approximation of some one-dimensional stochastic differential equations with a non-linear drift, in the sense of McKean-Vlasov, driven by a…

概率论 · 数学 2020-01-22 Noufel Frikha , Libo Li

This work establishes the weak convergence of Euler-Maruyama's approximation for stochastic differential equations (SDEs) with singular drifts under the integrability condition in lieu of the widely used growth condition. This method is…

概率论 · 数学 2018-08-23 Jinghai Shao

In this paper we study solutions to stochastic differential equations (SDEs) with discontinuous drift. We apply two approaches: The Euler-Maruyama method and the Fokker-Planck equation and show that a candidate density function based on the…

系统与控制 · 计算机科学 2013-08-27 Maria Simonsen , John Leth , Henrik Schioler , Horia Cornean

The exponential stability of numerical methods to stochastic differential equations (SDEs) has been widely studied. In contrast, there are relatively few works on polynomial stability of numerical methods. In this letter, we address the…

概率论 · 数学 2014-04-25 Mohammud Foondun , Wei Liu , Xuerong Mao

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

In this paper, we investigate the stability equivalence problem for stochastic differential delay equations, the auxiliary stochastic differential equations and their corresponding Euler-Maruyama (EM) methods under $G$-framework. More…

概率论 · 数学 2024-05-14 Wen Lu

In this paper we investigate two variants of $\alpha$-stable processes, namely tempered stable subordinators and modified tempered stable process as well as their renormalization. We study the weak convergence in the Skorohod space and…

概率论 · 数学 2017-08-23 Jose Luis da Silva , Mohamed Erraoui

In this paper, we consider a numerical approximation of the stochastic differential equation (SDE) $$X_{t}=x_{0}+ \int_{0}^{t} b(s, X_{s}) \mathrm{d}s + L_{t},~x_{0} \in \mathbb{R}^{d},~t \in [0,T],$$ where the drift coefficient $b:[0,T]…

概率论 · 数学 2016-05-24 Olivier Menoukeu Pamen , Dai Taguchi

In this paper we investigate explicit numerical approximations for stochastic differential delay equations (SDDEs) under a local Lipschitz condition by employing the adaptive Euler-Maruyama (EM) method. Working in both finite and infinite…

概率论 · 数学 2023-08-31 Ulises Botija-Munoz , Chenggui Yuan

We propose two Euler-Maruyama (EM) type numerical schemes in order to approximate the invariant measure of a stochastic differential equation (SDE) driven by an $\alpha$-stable L\'evy process ($1<\alpha<2$): an approximation scheme with the…

概率论 · 数学 2023-06-21 Peng Chen , Changsong Deng , Rene Schilling , Lihu Xu
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