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Consider the following stochastic differential equation driven by multiplicative noise on $\mathbb{R}^d$ with a superlinearly growing drift coefficient, \begin{align*} \mathrm{d} X_t = b (X_t) \, \mathrm{d} t + \sigma (X_t) \, \mathrm{d}…

概率论 · 数学 2025-05-07 Xiang Li , Yingjun Mo , Haoran Yang

We consider the long-time behavior of an explicit tamed exponential Euler scheme applied to a class of parabolic semilinear stochastic partial differential equations driven by additive noise, under a one-sided Lipschitz continuity…

数值分析 · 数学 2020-10-02 Charles-Edouard Bréhier

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 work focuses on the numerical approximations of neutral stochastic delay differential equations with their drift and diffusion coefficients growing super-linearly with respect to both delay variables and state variables. Under…

数值分析 · 数学 2024-02-15 Jingjing Cai , Ziheng Chen , Yuanling Niu

We present a criterion for uniform in time convergence of the weak error of the Euler scheme for Stochastic Differential equations (SDEs). The criterion requires i) exponential decay in time of the space-derivatives of the semigroup…

概率论 · 数学 2020-07-28 D. Crisan , P. Dobson , M. Ottobre

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 article we establish exponential moment bounds, moment bounds in fractional order smoothness spaces, a uniform H\"older continuity in time, and strong convergence rates for a class of fully discrete exponential Euler-type numerical…

概率论 · 数学 2021-11-02 Arnulf Jentzen , Felix Lindner , Primož Pušnik

The paper studies the rate of convergence of the weak Euler approximation for solutions to SDEs driven by Levy processes, with Hoelder-continuous coefficients. It investigates the dependence of the rate on the regularity of coefficients and…

概率论 · 数学 2013-05-14 R. Mikulevicius , C. Zhang

For stochastic differential equations (SDEs) with a superlinearly growing and globally one-sided Lipschitz continuous drift coefficient, the classical explicit Euler scheme fails to converge strongly to the exact solution. Recently, an…

数值分析 · 数学 2014-08-26 Xiaojie Wang , Siqing Gan

In this paper, we first establish well-posedness of McKean-Vlasov stochastic differential equations (McKean-Vlasov SDEs) with common noise, possibly with coefficients having super-linear growth in the state variable. Second, we present…

概率论 · 数学 2020-06-02 Chaman Kumar , Neelima , Christoph Reisinger , Wolfgang Stockinger

Numerical methods for SDEs with irregular coefficients are intensively studied in the literature, with different types of irregularities usually being attacked separately. In this paper we combine two different types of irregularities:…

数值分析 · 数学 2024-01-12 Kathrin Spendier , Michaela Szölgyenyi

In recent years tamed schemes have become an important technique for simulating SDEs and SPDEs whose continuous coefficients display superlinear growth. The taming method, which involves curbing the growth of the coefficients as a function…

概率论 · 数学 2022-11-23 Tim Johnston , Sotirios Sabanis

The understanding of adaptive algorithms for SDEs is an open area where many issues related to both convergence and stability (long time behaviour) of algorithms are unresolved. This paper considers a very simple adaptive algorithm, based…

数值分析 · 数学 2007-05-23 H. Lamba , J. C. Mattingly , A. M. Stuart

This paper presents a strong convergence rate analysis of general discretization approximations for McKean-Vlasov SDEs with super-linear growth coefficients over infinite time horizon. Under some specified non-globally Lipschitz conditions,…

数值分析 · 数学 2025-09-12 Taiyuan Liu , Yaozhong Hu , Siqing Gan

Over the last few decades, the numerical methods for stochastic differential delay equations (SDDEs) have been investigated and developed by many scholars. Nevertheless, there is still little work to be completed. By virtue of the novel…

数值分析 · 数学 2022-09-21 Zhuoqi Liu , Qian Guo , Shuaibin Gao

We investigate the strong approximation of stochastic differential equations whose drift is square-integrable in time and Dini continuous in space, while the diffusion coefficient is non-constant and uniformly elliptic. Using a refined…

概率论 · 数学 2026-02-16 Jinlong Wei , Junhao Hu , Guangying Lv , Chenggui Yuan

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

We consider the problem of the approximation of the solution of a one-dimensional SDE with non-globally Lipschitz drift and diffusion coefficients behaving as $x^\alpha$, with $\alpha>1$. We propose an (semi-explicit) exponential-Euler…

概率论 · 数学 2022-11-30 Mireille Bossy , Jean Francois Jabir , Kerlyns Martinez

The paper estimates the rate of convergence of the weak Euler approximation for the solutions of SDEs with Hoelder continuous coefficients driven by point and martingale measures. The equation considered has a non-degenerate main part whose…

概率论 · 数学 2010-11-23 R. Mikulevicius , C. Zhang

This paper mainly investigates the strong convergence and stability of the truncated Euler-Maruyama (EM) method for stochastic differential delay equations with variable delay whose coefficients can be growing super-linearly. By…

数值分析 · 数学 2021-08-10 Shounian Deng , Chen Fei , Weiyin Fei , Xuerong Mao