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相关论文: First order convergence of weak Wong--Zakai approx…

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For a solution $X$ of a L\'evy-driven $d$-dimensional Marcus (canonical) stochastic differential equation, we show that the Wong--Zakai type approximation scheme $X^h$ has a strong convergence of order $\frac12$: for each $T\in [0,\infty)$…

概率论 · 数学 2025-02-03 Ilya Pavlyukevich , Sooppawat Thipyarat

We examine a Wong-Zakai type approximation of a family of stochastic differential equations driven by a general cadlag semimartingale. For such an approximation, compared with the pointwise convergence result by Kurtz, Pardoux and Protter…

概率论 · 数学 2019-02-19 Xianming Liu , Guangyue Han

We construct Wong--Zakai approximations of time--inhomogeneous stochastic differential equations with regime switching (RSSDEs), and provide a convergence rate. %Given a family of finite-variation processes…

概率论 · 数学 2021-10-12 Giang T. Nguyen , Oscar Peralta

We discuss a class of stochastic second-order PDEs in one space-dimension with an inner boundary moving according to a possibly non-linear, Stefan-type condition. We show that proper separation of phases is attained, i.e., the solution…

概率论 · 数学 2018-01-17 Martin Keller-Ressel , Marvin S. Mueller

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

In this paper, we establish the Stroock-Varadhan type support theorems for stochastic differential equations (SDEs) under Lyapunov conditions, which significantly improve the existing results in the literature where the coefficients of the…

概率论 · 数学 2024-03-05 Qi Li , Jianliang Zhai , Tusheng Zhang

This paper studies the weak convergence order of the stochastic theta method for stochastic differential equations (SDEs) driven by time-changed L\'{e}vy noise under global Lipschitz and linear growth conditions. In contrast to classical…

数值分析 · 数学 2026-03-31 Ziheng Chen , Jiao Liu , Meng Cai

In this paper we show that the rate of convergence of Wong-Zakai approximations for stochastic partial differential equations driven by Wiener processes is essentially the same as the rate of convergence of the driving processes W_n…

概率论 · 数学 2012-09-14 I. Gyöngy , P. R. Stinga

In this paper we consider the following stochastic partial differential equation (SPDE) in the whole space: $du (t, x) = [a^{i j} (t, x) D_{i j} u(t, x) + f(u, t, x)]\, dt + \sum_{k = 1}^m g^k (u(t, x)) dw^k (t).$ We prove the convergence…

概率论 · 数学 2018-11-15 Timur Yastrzhembskiy

In this paper, we consider a fundamental class of stochastic differential equations with time delays. Our aim is to investigate the weak convergence with respect to delay parameter of the solutions. Based on the techniques of Malliavin…

概率论 · 数学 2021-09-07 T. C. Son , N. T. Dung , N. V. Tan , T. M. Cuong , H. T. P. Thao , P. D. Tung

The strong convergence of Wong-Zakai approximations of the solution to the reflecting stochastic differential equations was studied in [2]. We continue the study and prove the strong convergence under weaker assumptions on the domain.

概率论 · 数学 2014-07-28 Shigeki Aida

In this paper we solve a L\'evy driven linear stochastic first order partial differential equation (transport equation) understood in the canonical (Marcus) form. The solution can be obtained with the help of the method of stochastic…

概率论 · 数学 2023-03-02 Lena-Susanne Hartmann , Ilya Pavlyukevich

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

In this paper, we study the Wong-Zakai approximation of the solution to the stochastic differential equation on a domain $D$ in a Euclidean space with normal reflection at the boundary. We prove the $L^p$ convergence of the approximation in…

概率论 · 数学 2013-05-27 Shigeki Aida , Kosuke Sasaki

The paper deals with convergence of solutions of a class of stochastic differential equations driven by infinite-dimensional semimartingales. The infinite-dimensional semimartingales considered in the paper are Hilbert-space valued. The…

概率论 · 数学 2011-11-29 Arnab Ganguly

We consider autonomous stochastic ordinary differential equations (SDEs) and weak approximations of their solutions for a general class of sufficiently smooth path-dependent functionals f. Based on tools from functional It\^o calculus, such…

概率论 · 数学 2016-06-15 Mihály Kovács , Felix Lindner

This paper is devoted to the smooth and stationary Wong-Zakai approximations for a class of rough differential equations driven by a geometric fractional Brownian rough path $\boldsymbol{\omega}$ with Hurst index…

概率论 · 数学 2023-03-09 Qiyong Cao , Hongjun Gao , Bjorn Schmalfuss

We consider a class of stochastic differential equations driven by a one dimensional Brownian motion and we investigate the rate of convergence for Wong-Zakai-type approximated solutions. We first consider the Stratonovich case, obtained…

概率论 · 数学 2018-06-06 Bilel Kacem Ben Ammou , Alberto Lanconelli

In this article, we establish the \textsl{Wong-Zakai approximation} result for a class of stochastic partial differential equations (SPDEs) with fully local monotone coefficients perturbed by a multiplicative Wiener noise. This class of…

概率论 · 数学 2024-04-23 Ankit Kumar , Kush Kinra , Manil T. Mohan

We study the weak approximation of the second-order backward SDEs (2BSDEs), when the continuous driving martingales are approximated by discrete time martingales. We establish a convergence result for a class of 2BSDEs, using both…

概率论 · 数学 2015-09-10 Dylan Possamaï , Xiaolu Tan
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