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We survey recent developments in the field of complexity of pathwise approximation in $p$-th mean of the solution of a stochastic differential equation at the final time based on finitely many evaluations of the driving Brownian motion.…

概率论 · 数学 2024-03-04 T. Müller-Gronbach , L. Yaroslavtseva

The aim of this paper is to develop a general method for constructing approximation schemes for viscosity solutions of fully nonlinear pathwise stochastic partial differential equations, and for proving their convergence. Our results apply…

偏微分方程分析 · 数学 2019-11-01 Benjamin Seeger

Motivated by a problematic coming from mathematical finance, this paper is devoted to existing and additional results of continuity and differentiability of the It\^o map associated to rough differential equations. These regularity results…

概率论 · 数学 2019-01-16 Nicolas Marie

We derive an asymptotic expansion for the quadratic variation of a stochastic process satisfying a stochastic differential equation driven by a fractional Brownian motion, based on the theory of asymptotic expansion of Skorohod integrals…

概率论 · 数学 2022-06-02 Hayate Yamagishi , Nakahiro Yoshida

Strong approximations of uniform transport processes to the standard Brownian motion rely on the Skorokhod embedding of random walk with centered double exponential increments. In this note we make such an embedding explicit by means of a…

概率论 · 数学 2020-02-04 Giang T. Nguyen , Oscar Peralta

Motivated by the need to develop a general framework for performing statistical inference for discretely observed random rough differential equations, our aim is to construct a geometric $p$-rough path ${\bf X}$ whose response $Y$, when…

经典分析与常微分方程 · 数学 2026-03-30 Thomas Morrish , Theodore Papamarkou , Anastasia Papavasiliou , Yang Zhao

We provide a draft of a theory of geometric integration of rough differential forms which are generalizations of classical (smooth) differential forms to similar objects with very low regularity, for instance, involving H\"older continuous…

微分几何 · 数学 2020-01-20 Eugene Stepanov , Dario Trevisan

We prove a large deviation principle for the slow-fast rough differential equations under the controlled rough path framework. The driver rough paths are lifted from the mixed fractional Brownian motion with Hurst parameter $H\in…

概率论 · 数学 2025-02-05 Xiaoyu Yang , Yong Xu

We provide a theory of manifold-valued rough paths of bounded 3 > p-variation, which we do not assume to be geometric. Rough paths are defined in charts, and coordinate-free (but connection-dependent) definitions of the rough integral of…

经典分析与常微分方程 · 数学 2022-09-01 John Armstrong , Damiano Brigo , Thomas Cass , Emilio Ferrucci

Stochastic parameterizations are used in numerical weather prediction and climate modeling to help capture the uncertainty in the simulations and improve their statistical properties. Convergence issues can arise when time integration…

数值分析 · 数学 2020-06-24 Panos Stinis , Huan Lei , Jing Li , Hui Wan

Using rough path theory, we provide a pathwise foundation for stochastic It\^o integration, which covers most commonly applied trading strategies and mathematical models of financial markets, including those under Knightian uncertainty. To…

概率论 · 数学 2024-01-04 Andrew L. Allan , Chong Liu , David J. Prömel

We go ahead with the study initiated in [3] about a heat-equation model with non-linear perturbation driven by a space-time fractional noise. Using general results from Hairer's theory of regularity structures, the analysis reduces to the…

概率论 · 数学 2016-07-20 Aurélien Deya

The problem of the Taylor-Ito and Taylor-Stratonovich expansions of the Ito stochastic processes in a neighborhood of a fixed moment of time is considered. The classical forms of the Taylor-Ito and Taylor-Stratonovich expansions are…

概率论 · 数学 2026-02-13 Dmitriy F. Kuznetsov

We provide an It\^{o}'s formula for stochastic dynamical equation on general time scales. Based on this It\^{o}'s formula we give a closed form expression for stochastic exponential on general time scales. We then demonstrate a Girsanov's…

概率论 · 数学 2017-03-31 Wenqing Hu

We give a conjectural formula for sheaves supported on (irreducible) conormal varieties inside the cotangent bundle of the Grassmannian, such that their equivariant $K$-class is given by the partition function of an integrable loop model,…

代数几何 · 数学 2016-12-15 A. Knutson , P. Zinn-Justin

We establish a new scale of $p$-variation estimates for martingale paraproducts, martingale transforms, and It\^o integrals, of relevance in rough paths theory, stochastic, and harmonic analysis. As an application, we introduce rough…

概率论 · 数学 2023-03-22 Peter Friz , Pavel Zorin-Kranich

We give a proof of the strong existence and the regularity of stochastic differential equations driven by a Brownian motion and a measurable, Markovian drift without no regularity hypothesis except that the Girsanov exponential associated…

概率论 · 数学 2025-08-05 Ali Suleyman Ustunel

This work focuses on the Laplace approximation for the rough differential equation (RDE) driven by mixed rough path with as . Firstly, based on geometric rough path lifted from mixed fractional Brownian motion (fBm), the Schilder-type large…

概率论 · 数学 2022-06-14 Xiaoyu Yang , Yong Xu , Bin Pei

In this paper we show that a path-wise solution to the following integral equation $$ Y_t = \int_0^t f(Y_t) dX_t \qquad Y_0=a \in \R^d $$ exists under the assumption that X_t is a L\'evy process of finite p-variation for some $p \geq1$ and…

概率论 · 数学 2007-05-23 David R. E. Williams

We derive a Gronwall type inequality for mild solutions of non-autonomous parabolic rough partial differential equations (RPDEs). This inequality together with an analysis of the Cameron-Martin space associated to the noise, allows us to…

概率论 · 数学 2025-10-30 Alexandra Blessing , Mazyar Ghani Varzaneh , Tim Seitz