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First, we establish an abstract ergodic result on $\mR^d$. Classical ergodic results on $\mR^d$ require that the process is irreducible, we weaken it to some weak form of irreducibility in this article. The main method used in this article…

概率论 · 数学 2018-02-06 Xuhui Peng , Rangrang Zhang

In this paper, we first show the well-posedness of the SDEs driven by L\'{e}vy noises under mild conditions. Then, we consider the existence and uniqueness of periodic solutions of the SDEs. To establish the ergodicity and uniqueness of…

概率论 · 数学 2019-06-20 Xiao-Xia Guo , Wei Sun

In this article we show that a finite dimensional stochastic differential equation driven by a L\'evy process can be formulated as a stochastic partial differential equation. We prove the existence and uniqueness of strong solutions of such…

概率论 · 数学 2018-02-15 Suprio Bhar , Rajeev Bhaskaran , Barun Sarkar

Motivated by applications to a manifold of semilinear and quasilinear stochastic partial differential equations (SPDEs) we establish the existence and uniqueness of strong solutions to coercive and locally monotone SPDEs driven by L\'{e}vy…

偏微分方程分析 · 数学 2013-05-22 Zdzisław Brzeźniak , Wei Liu , Jiahui Zhu

In this article, we examine a stochastic partial differential equation (SPDE) driven by a symmetric $\alpha$-stable (S$\alpha$S) L\'evy noise, that is multiplied by a linear function $\sigma(u)=u$ of the solution. The solution is…

概率论 · 数学 2024-09-20 Raluca M. Balan , Juan J. Jiménez

We show the existence and uniqueness of strong solutions for stochastic differential equation driven by partial $\alpha$-stable noise and partial Brownian noise with singular coefficients. The proof is based on the regularity of degenerate…

概率论 · 数学 2017-07-18 Yueling Li , Longjie Xie , Yingchao Xie

We present a Milstein-type scheme for stochastic differential equations driven by L\'evy noise with super-linear diffusion coefficients and establish its strong convergence.

概率论 · 数学 2017-07-11 Chaman Kumar

In this paper, we study almost periodic solutions for semilinear stochastic differential equations driven by L\'{e}vy noise with exponential dichotomy property. Under suitable conditions on the coefficients, we obtain the existence and…

概率论 · 数学 2014-04-29 Yan Wang

In this paper, we study a class of stochastic partial differential equations (SPDEs) driven by space-time fractional noises. Our method consists in studying first the nonlocal SPDEs and showing then the convergence of the family of these…

概率论 · 数学 2014-09-17 Ying Hu , Yiming Jiang , Zhongmin Qian

Recently, extracting data-driven governing laws of dynamical systems through deep learning frameworks has gained a lot of attention in various fields. Moreover, a growing amount of research work tends to transfer deterministic dynamical…

机器学习 · 统计学 2022-07-05 Cheng Fang , Yubin Lu , Ting Gao , Jinqiao Duan

In this paper we study general nonlinear stochastic differential equations, where the usual Brownian motion is replaced by a L\'evy process. We also suppose that the coefficient multiplying the increments of this process is merely Lipschitz…

概率论 · 数学 2007-07-19 Benjamin Jourdain , Sylvie Méléard , Wojbor Woyczynski

Motivated by the results of \cite{sabanis2015}, we propose explicit Euler-type schemes for SDEs with random coefficients driven by L\'evy noise when the drift and diffusion coefficients can grow super-linearly. As an application of our…

概率论 · 数学 2016-11-11 Chaman Kumar , Sotirios Sabanis

We prove smoothing properties of nonlocal transition semigroups associated to a class of stochastic differential equations (SDE) driven by additive pure-jump L\'evy noise. In particular, we assume that the L\'evy process driving the SDE is…

概率论 · 数学 2012-08-15 Seiichiro Kusuoka , Carlo Marinelli

In this paper, we present new types of exponential integrators for Stochastic Differential Equations (SDEs) that take the advantage of the exact solution of (generalised) geometric Brownian motion. We examine both Euler and Milstein…

数值分析 · 数学 2016-09-29 Utku Erdoğan , Gabriel J. Lord

We prove the well-posedness of solutions to McKean-Vlasov stochastic differential equations driven by L\'evy noise under mild assumptions where, in particular, the L\'evy measure is not required to be finite. The drift, diffusion and jump…

概率论 · 数学 2020-10-20 Neelima , Sani Biswas , Chaman Kumar , Gonçalo dos Reis , Christoph Reisinger

We prove exponential convergence to the invariant measure, in the total variation norm, for solutions of SDEs driven by $\alpha$-stable noises in finite and in infinite dimensions. Two approaches are used. The first one is based on Harris…

偏微分方程分析 · 数学 2011-04-27 E. Priola , A. Shirikyan , L. Xu , J. Zabczyk

In this paper, we study the weak irreducibility of stochastic delay differential equations(SDDEs) driven by pure jump noise. The main contribution of this paper is to provide a concise proof of weak irreducibility, releasing condition…

概率论 · 数学 2025-09-03 Hao Yang , Jian Wang

It is well known that for a stochastic differential equation driven by L\'evy noise, the temporal H\"older continuity in $L^p$ sense of the exact solution does not exceed $1/p$. This leads to that the $L^p$-strong convergence order of a…

数值分析 · 数学 2024-12-10 Chuchu Chen , Tonghe Dang , Jialin Hong , Ziyi Lei

We establish the exponential convergence with respect to the $L^1$-Wasserstein distance and the total variation for the semigroup corresponding to the stochastic differential equation (SDE) $$d X_t=d Z_t+b(X_t)\,d t,$$ where $(Z_t)_{t\ge0}$…

概率论 · 数学 2018-05-14 Dejun Luo , Jian Wang

We focus in this paper on the stochastic stabilization problems of PDEs by Levy noise. Sufficient conditions under which the perturbed systems decay exponentially with a general rate function are provided and some examples are constructed…

概率论 · 数学 2011-04-15 Jianhai Bao , Chenggui Yuan