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相关论文: Differential equations driven by rough paths: an a…

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In this paper, we establish the theory of nonlinear rough paths. We give the definition of nonlinear rough paths, and develop the integrals. Then, we study differential equations driven by nonlinear rough paths. Afterwards, we compare the…

概率论 · 数学 2019-04-29 David Nualart , Panqiu Xia

This article is concerned with stochastic differential equations driven by a $d$ dimensional fractional Brownian motion with Hurst parameter $H>1/4$, understood in the rough paths sense. Whenever the coefficients of the equation satisfy a…

概率论 · 数学 2020-08-03 Xi Geng , Cheng Ouyang , Samy Tindel

We consider a d-dimensional stochastic differential equation with additive noise and a drift coefficient which is assumed only to be a bounded Borel function. We show that, for almost all choices of the driving Brownian path, the equation…

概率论 · 数学 2007-09-27 A. M. Davie

This article is concerned with stochastic differential equations driven by a $d$ dimensional fractional Brownian motion with Hurst parameter $H>1/4$, understood in the rough paths sense. Whenever the coefficients of the equation satisfy a…

概率论 · 数学 2019-07-02 Xi Geng , Cheng Ouyang , Samy Tindel

We study pathwise approximation of scalar stochastic differential equations at a single point. We provide the exact rate of convergence of the minimal errors that can be achieved by arbitrary numerical methods that are based (in a…

概率论 · 数学 2007-05-23 Thomas Muller-Gronbach

Rough paths theory allows for a pathwise theory of solutions to differential equations driven by highly irregular signals. The fundamental observation of rough paths theory is that if one can define "iterated integrals" above a signal, then…

动力系统 · 数学 2024-04-08 Francesco Cellarosi , Zachary Selk

We consider controlled differential equations and give new estimates for higher order Euler schemes. Our proofs are inspired by recent work of A. M. Davie who considers first and second order schemes. In order to implement the general case…

经典分析与常微分方程 · 数学 2007-05-23 Peter Friz , Nicolas Victoir

In this paper we show that solutions of stochastic partial differential equations driven by Brownian motion can be approximated by stochastic partial differential equations forced by pure jump noise/random kicks. Applications to stochastic…

概率论 · 数学 2014-01-31 Giulia Di Nunno , Tusheng Zhang

T. Lyons' rough path theory is something like a deterministic version of K. Ito's theory of stochastic differential equations, combined with ideas from K. T. Chen's theory of iterated path integrals. In this article we survey rough path…

概率论 · 数学 2016-02-11 Yuzuru Inahama

In this article we show a robustness theorem for controlled stochastic differential equations driven by approximations of Brownian motion. Often, Brownian motion is used as an idealized model of a diffusion where approximations such as…

最优化与控制 · 数学 2023-12-07 Somnath Pradhan , Zachary Selk , Serdar Yüksel

We consider multi-dimensional Gaussian processes and give a new condition on the covariance, simple and sharp, for the existence of stochastic area(s). Gaussian rough paths are constructed with a variety of weak and strong approximation…

概率论 · 数学 2007-07-04 Peter Friz , Nicolas Victoir

We consider a differential equation driven by a Brownian motion as well as a rough path. We prove a Girsanov-type result for this equation to construct a weak solution in the probabilistic sense.

概率论 · 数学 2018-05-04 Torstein Nilssen

We study some functional inequalities satisfied by the distribution of the solution of a stochastic differential equation driven by fractional Brownian motions. Such functional inequalities are obtained through new integration by parts…

概率论 · 数学 2011-02-23 Fabrice Baudoin , Cheng Ouyang

We establish the existence and uniqueness for a one-dimensional stochastic differential equation driven by a Brownian motion and a pure jump {\levy} process. It is shown that under fairly general conditions on the coefficients, pathwise…

概率论 · 数学 2018-12-27 Jie Xiong , Jiayu Zheng , Xiaowen Zhou

The convergence of the first order Euler scheme and an approximative variant thereof, along with convergence rates, are established for rough differential equations driven by c\`adl\`ag paths satisfying a suitable criterion, namely the…

概率论 · 数学 2025-09-16 Andrew L. Allan , Anna P. Kwossek , Chong Liu , David J. Prömel

We show how the flow approach of Duch, with elementary differentials as coordinates, can be used to prove well-posedness for rough stochastic differential equations driven by fractional Brownian motion with Hurst index $H > \frac{1}{4}$. A…

概率论 · 数学 2026-03-03 Ajay Chandra , Léonard Ferdinand

We show how to use geometric arguments to prove that the terminal solution to a rough differential equation driven by a geometric rough path can be obtained by driving the same equation by a piecewise linear path. For this purpose, we…

经典分析与常微分方程 · 数学 2022-02-01 Youness Boutaib

Combining fractional calculus and the Rough Path Theory we study the existence and uniqueness of mild solutions to evolutions equations driven by a H\"older continuous function with H\"older exponent in $(1/3,1/2)$. Our stochastic integral…

偏微分方程分析 · 数学 2013-05-06 María J. Garrido-Atienza , Kening Lu , Björn Schmalfuss

We consider the stochastic continuity equation perturbed by a fractional Brownian motion and the drift is allowed to be discontinuous. We show that for almost all paths of the fractional Brownian motion there exists a solution to the…

概率论 · 数学 2018-06-26 Torstein Nilssen

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