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This paper is concerned with the relationship between forward-backward stochastic Volterra integral equations (FBSVIEs, for short) and a system of (non-local in time) path dependent partial differential equations (PPDEs, for short). Due to…

Probability · Mathematics 2021-01-26 Hanxiao Wang , Jiongmin Yong , Jianfeng Zhang

We prove the existence and uniqueness of weak solution of a Neumann boundary problem for an elliptic partial differential equation (PDE for short) with a singular divergence term which can only be understood in a weak sense. A probabilistic…

Probability · Mathematics 2018-04-24 Xue Yang , Jing Zhang

Let $M$ be a compact Riemannian homogeneous space (e.g. a Euclidean sphere). We prove existence of a global weak solution of the stochastic wave equation \mathbf D_t\partial_tu=\sum_{k=1}^d\mathbf…

Probability · Mathematics 2016-08-14 Zdzisław Brzeźniak , Martin Ondreját

We show that there is a PDE formulation in terms of Fokker-Planck equations for weak optimal transport problems. The main novelty is that we introduce a minimization problem involving Fokker-Planck equations in the extended sense of…

Optimization and Control · Mathematics 2026-03-23 Bohdan Bulanyi

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…

Classical Analysis and ODEs · Mathematics 2022-09-01 John Armstrong , Damiano Brigo , Thomas Cass , Emilio Ferrucci

In this paper, we study the option pricing problems for rough volatility models. As the framework is non-Markovian, the value function for a European option is not deterministic; rather, it is random and satisfies a backward stochastic…

Mathematical Finance · Quantitative Finance 2020-08-05 Christian Bayer , Jinniao Qiu , Yao Yao

Typically, a stochastic model relates stochastic "inputs" and, perhaps, controls to stochastic "outputs". A general version of the Yamada-Watanabe and Engelbert theorems relating existence and uniqueness of weak and strong solutions of…

Probability · Mathematics 2014-02-28 Thomas G. Kurtz

Correlation and smoothness are terms used to describe a wide variety of random quantities. In time, space, and many other domains, they both imply the same idea: quantities that occur closer together are more similar than those further…

Methodology · Statistics 2020-06-11 David L Miller , Richard Glennie , Andrew E Seaton

The classical Feynman-Kac identity builds a bridge between stochastic analysis and partial differential equations (PDEs) by providing stochastic representations for classical solutions of linear Kolmogorov PDEs. This opens the door for the…

Probability · Mathematics 2021-10-25 Christian Beck , Martin Hutzenthaler , Arnulf Jentzen

This is the first in a series Of papers in which we initiate the study Of very rough solutions to the initial value problem for the Einstein Vacuum equations expressed relative to wave coordinates. By very rough we mean solutions which…

Analysis of PDEs · Mathematics 2016-09-07 S. Klainerman , I. Rodnianski

Symmetry properties of PDE's are considered within a systematic and unifying scheme: particular attention is devoted to the notion of conditional symmetry, leading to the distinction and a precise characterization of the notions of ``true''…

Mathematical Physics · Physics 2009-11-11 G. Cicogna , M. Laino

We present the systematic formalism to derive the path-integral formulation for the hard-core particle systems far from equilibrium. Writing the master equation for a stochastic process of the system in terms of the annihilation and…

Statistical Mechanics · Physics 2009-10-31 Su-Chan Park , Doochul Kim , Jeong-Man Park

We develop a rough-path framework for two-parameter rough differential equations on rectangular and simplicial domains, motivated by the signature kernel and Schwinger--Dyson kernel equations. The theory is formulated in spaces of jointly…

Probability · Mathematics 2026-05-12 Thomas Cass , Dan Crisan , Andrea Iannucci , William F. Turner

The dynamics of rough differential equations (RDEs) has recently received a lot of interest. For example, the existence of local random center manifolds for RDEs has been established. In this work, we present an approximation for local…

Probability · Mathematics 2025-10-02 Alexandra Blessing , Dennis Rudik

In a series of papers Barron, Goebel, and Jensen studied Partial Differential Equations (PDE)s for quasiconvex (QC) functions \cite{barron2012functions, barron2012quasiconvex,barron2013quasiconvex,barron2013uniqueness}. To overcome the lack…

Analysis of PDEs · Mathematics 2019-02-08 Bilal Abbasi , Adam M. Oberman

The Feynman-Kac formula implies that every suitable classical solution of a semilinear Kolmogorov partial differential equation (PDE) is also a solution of a certain stochastic fixed point equation (SFPE). In this article we study such and…

Probability · Mathematics 2021-07-14 Christian Beck , Lukas Gonon , Martin Hutzenthaler , Arnulf Jentzen

Partial Differential Equations (PDEs) are fundamental tools for modeling physical phenomena, yet most PDEs of practical interest cannot be solved analytically and require numerical approximations. The feasibility of such numerical methods,…

Numerical Analysis · Mathematics 2025-12-03 Juan Esteban Suarez Cardona , Holger Boche , Gitta Kutyniok

In this paper, we consider the Cauchy problem of semi-linear degenerate backward stochastic partial differential equations (BSPDEs in short) under general settings without technical assumptions on the coefficients. For the solution of…

Probability · Mathematics 2011-09-06 Kai Du , Qi Zhang

We present a general approach to obtain a weak Harnack inequality for rough hypoellipitic equations, e.g. kinetic equations. The proof is constructive and does not study the commutator structure but rather compares the rough solution with a…

Analysis of PDEs · Mathematics 2022-09-19 Helge Dietert , Jonas Hirsch

The classical Feynman-Kac identity represents solutions of linear partial differential equations in terms of stochastic differential euqations. This representation has been generalized to nonlinear partial differential equations on the one…

Probability · Mathematics 2023-10-30 Martin Hutzenthaler , Katharina Pohl