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相关论文: Path Independence of Additive Functionals for SDEs…

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Sufficient and necessary conditions are presented for the comparison theorem of path dependent $G$-SDEs. Different from the corresponding study in path independent $G$-SDEs, a probability method is applied to prove these results. Moreover,…

概率论 · 数学 2020-04-28 Xing Huang , Fen-Fen Yang

In this article, the path independent property of additive functionals of McKean-Vlasov stochastic differential equations with jumps is characterised by nonlinear partial integro-differential equations involving $L$-derivatives with respect…

概率论 · 数学 2020-03-19 Huijie Qiao , Jiang-Lun Wu

We extend the notion of mean-field SDEs to SDEs driven by $G$-Brownian motion. More precisely, we consider a $G$-SDE where the coefficients depend not only on time and the current state but also on the solution as random variable.

概率论 · 数学 2025-08-06 Karl-Wilhelm Georg Bollweg , Thilo Meyer-Brandis

The present paper is devoted to the study of sample paths of G-Brownian motion and stochastic differential equations (SDEs) driven by G-Brownian motion from the view of rough path theory. As the starting point, we show that quasi-surely,…

概率论 · 数学 2013-06-11 Xi Geng , Zhongmin Qian , Danyu Yang

Let P2(Rd) be the space of probability measures on Rd with finite second moment. The path independence of additive functionals of McKean-Vlasov SDEs is characterized by PDEs on the product space Rd*P2(Rd) equipped with the usual derivative…

概率论 · 数学 2018-06-07 Panpan Ren , Feng-Yu Wang

In this paper, we show that the integration of a stochastic differential equations driven by G-Brownian motion in R can be reduced to the integration of an ordinary differential equations parametrized by a variable in ({\Omega},F). We study…

概率论 · 数学 2014-09-02 Peng Luo , Falei Wang

In this paper we study path-by-path uniqueness for multidimensional stochastic differential equations driven by the Brownian sheet. We assume that the drift coefficient is unbounded, verifies a spatial linear growth condition and is…

概率论 · 数学 2022-09-27 Antoine-Marie Bogso , Moustapha Dieye , Olivier Menoukeu-Pamen

The aim of this paper is to present the analysis for the solutions of nonlinear stochastic functional differential equation driven by G-Brownian motion with infinite delay (G-SFDEwID). Under some useful assumptions, we have proved that the…

概率论 · 数学 2018-06-12 Faiz Faizullah

We study the ergodic properties of finite-dimensional systems of SDEs driven by non-degenerate additive fractional Brownian motion with arbitrary Hurst parameter $H\in(0,1)$. A general framework is constructed to make precise the notions of…

概率论 · 数学 2007-05-23 Martin Hairer

In this paper we study the stochastic differential equations driven by $G$-Brownian motion ($G$-SDEs for short). We extend the notion of conditional $G$-expectation from deterministic time to the more general optional time situation. Then,…

概率论 · 数学 2017-11-29 Mingshang Hu , Xiaojun Ji , Guomin Liu

This paper is devoted to studying the properties of the exit times of stochastic differential equations driven by $G$-Brownian motion ($G$-SDEs). In particular, we prove that the exit times of $G$-SDEs has the quasi-continuity property. As…

概率论 · 数学 2018-05-16 Guomin Liu , Shige Peng , Falei Wang

Based on the classical probability, the stability criteria for stochastic differential delay equations (SDDEs) where their coefficients are either linear or nonlinear but bounded by linear functions have been investigated intensively.…

最优化与控制 · 数学 2020-04-29 Chen Fei , Weiyin Fei , Xuerong Mao , Litan Yan

In this paper, we study the existence and uniqueness of solutions to the fully coupled nonlinear forward-backward stochastic differential equations driven by G-Brownian motion. Assuming that the diffusion coefficient $\sigma$ is uniformly…

概率论 · 数学 2021-04-15 Huan Lu , Yongsheng Song

In this article, we present a general methodology for control problems driven by the Brownian motion filtration including non-Markovian and non-semimartingale state processes controlled by mutually singular measures. The main result of this…

概率论 · 数学 2018-01-19 Dorival Leão , Alberto Ohashi , Francys Souza

In this article, a class of second order differential equations on [0,1], driven by a general H\"older continuous function and with multiplicative noise, is considered. We first show how to solve this equation in a pathwise manner, thanks…

概率论 · 数学 2010-11-04 Lluis Quer-Sardanyons , Samy Tindel

In this paper, we study the reflected stochastic differential equations driven by G-Brownian motion (reflected G-SDEs) with two nonlinear constraints. With the help of the Skorokhod problem with nonlinear constraints, we first study the…

概率论 · 数学 2026-04-27 Hanwu Li

We consider stochastic differential equations (SDEs) driven by a fractional Brownian motion with a drift coefficient that is allowed to be arbitrarily close to criticality in a scaling sense. We develop a comprehensive solution theory that…

概率论 · 数学 2025-01-29 Lucio Galeati , Máté Gerencsér

In this paper, we will present a strong (or pathwise) approximation of standard Brownian motion by a class of orthogonal polynomials. The coefficients that are obtained from the expansion of Brownian motion in this polynomial basis are…

数值分析 · 数学 2020-05-21 James Foster , Terry Lyons , Harald Oberhauser

Using coupling by change of measure and an approximation technique, Wang's Harnack inequalities are established for a class of functional SDEs driven by subordinate Brownian motions. The results cover the corresponding ones in the case…

概率论 · 数学 2019-09-10 Chang-Song Deng , Xing Huang

Our aim is to study the well-posedness of quasilinear stochastic partial differential equations driven by G-Brownian motion (GSPDEs for short) and the associated backward doubly stochastic differential equations (GBDSDEs for short). We…

概率论 · 数学 2025-12-08 Laurent Denis , Jing Zhang
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