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相关论文: A priori estimates for rough PDEs with application…

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We develop a pathwise theory for scalar conservation laws with quasilinear multiplicative rough path dependence, a special case being stochastic conservation laws with quasilinear stochastic dependence. We introduce the notion of pathwise…

偏微分方程分析 · 数学 2013-09-10 Pierre-Louis Lions , Benoit Perthame , Panagiotis E. Souganidis

Rough stochastic differential equations (rough SDEs), recently introduced by Friz, Hocquet and L\^e in arXiv:2106.10340, have emerged as a versatile tool to study "doubly" SDEs under partial conditioning (with motivation from pathwise…

概率论 · 数学 2025-07-24 Fabio Bugini , Peter K. Friz , Wilhelm Stannat

We provide a proof that all polynomial higher-derivative effective field theories of vacuum gravity admit a well-posed initial value formulation when augmented by suitable regularising terms. These regularising terms can be obtained by…

广义相对论与量子宇宙学 · 物理学 2024-07-15 Pau Figueras , Aaron Held , Áron D. Kovács

We study fully nonlinear second-order (forward) stochastic partial differential equations (SPDEs). They can also be viewed as forward path-dependent PDEs (PPDEs) and will be treated as rough PDEs (RPDEs) under a unified framework. We…

概率论 · 数学 2018-10-02 Rainer Buckdahn , Christian Keller , Jin Ma , Jianfeng Zhang

The existence of random dynamical systems for McKean--Vlasov SDEs is established. This is approached by considering the joint dynamics of the corresponding nonlinear Fokker-Planck equation governing the law of the system and the underlying…

概率论 · 数学 2025-07-04 Benjamin Gess , Rishabh S. Gvalani , Shanshan Hu

We consider anticipative Stratonovich stochastic differential equations driven by some stochastic process (not necessarily a semi-martingale). No adaptedness of initial point or vector fields is assumed. Under a simple condition on the…

概率论 · 数学 2007-05-23 Laure Coutin , Peter Friz , Nicolas Victoir

Using rough path techniques, we provide a priori estimates for the output of Deep Residual Neural Networks in terms of both the input data and the (trained) network weights. As trained network weights are typically very rough when seen as…

机器学习 · 计算机科学 2023-02-22 Christian Bayer , Peter K. Friz , Nikolas Tapia

In the spirit of Marcus canonical stochastic differential equations, we study a similar notion of rough differential equations (RDEs), notably dropping the assumption of continuity prevalent in the rough path literature. A new metric is…

概率论 · 数学 2019-02-12 Ilya Chevyrev , Peter K. Friz

We generalize Lyons' rough paths theory in order to give a pathwise meaning to some nonlinear infinite-dimensional evolution equation associated to an analytic semigroup and driven by an irregular noise. As an illustration, we discuss a…

概率论 · 数学 2010-01-26 Massimiliano Gubinelli , Samy Tindel

We continue the development of the theory of pathwise stochastic entropy solutions for scalar conservation laws in $\R^N$ with quasilinear multiplicative ''rough path'' dependence by considering inhomogeneous fluxes and a single rough path…

偏微分方程分析 · 数学 2014-04-07 Pierre-Louis Lions , Benoit Perthame , Panagiotis E. Souganidis

The theory of rough paths arose from a desire to establish continuity properties of ordinary differential equations involving terms of low regularity. While essentially an analytic theory, its main motivation and applications are in…

经典分析与常微分方程 · 数学 2025-01-28 Ilya Chevyrev

We consider rough differential equations whose coefficients contain path-dependent bounded variation terms and prove the existence and a priori estimate of solutions. These equations include classical path-dependent SDEs containing running…

概率论 · 数学 2024-03-12 Shigeki Aida

Inspired by recent advances in singular SPDE theory, we use the Poincar\'e inequality on Wiener space to show that controlled complementary Young regularity is sufficient to obtain Gaussian rough paths lifts. This allows us to completely…

概率论 · 数学 2024-12-09 Paul Gassiat , Tom Klose

The goal of these notes is to provide an introduction to rough partial differential equations. For this purpose, we will present the theory of rough paths to the extend as it is required. Applications to stochastic partial differential…

概率论 · 数学 2026-05-12 Stefan Tappe

We prove existence and uniqueness results for (mild) solutions to some non-linear parabolic evolution equations with a rough forcing term. Our method of proof relies on a careful exploitation of the interplay between the spatial and time…

概率论 · 数学 2009-11-03 Thomas Cass , Zhongmin Qian , Jan Tudor

The paper is split in two parts: in the first part, we construct the exact likelihood for a discretely observed rough differential equation, driven by a piecewise linear path. In the second part, we use this likelihood in order to construct…

统计理论 · 数学 2018-07-10 Anastasia Papavasiliou , Kasia B. Taylor

This paper establishes the existence and uniqueness of solutions for rough differential equations driven by reduced rough paths with low regularity, specifically in the roughness regime $\frac{1}{3} < \alpha \leq \frac{1}{2}$. While the…

概率论 · 数学 2025-12-02 Nannan Li , Xing Gao

In this paper, we introduce a new framework for parametrization schemes (PS) in GFD. Using the theory of controlled rough paths, we derive a class of rough geophysical fluid dynamics (RGFD) models as critical points of rough action…

偏微分方程分析 · 数学 2022-01-03 Dan Crisan , Darryl D. Holm , James-Michael Leahy , Torstein Nilssen

We continue the approach in Part I \cite{duchong19} to study stationary states of controlled differential equations driven by rough paths, using the framework of random dynamical systems and random attractors. Part II deals with driving…

概率论 · 数学 2020-07-29 Luu Hoang Duc

In this article, we consider limit theorems for some weighted type random sums (or discrete rough integrals). We introduce a general transfer principle from limit theorems for unweighted sums to limit theorems for weighted sums via rough…

概率论 · 数学 2017-07-07 Yanghui Liu , Samy Tindel