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We introduce a novel spatio-temporal discretization for nonlinear Fokker-Planck equations on the multi-dimensional unit cube. This discretization is based on two structural properties of these equations: the first is the representation as a…

Numerical Analysis · Mathematics 2016-01-11 Oliver Junge , Daniel Matthes , Horst Osberger

In this paper, we show that the value functions of mean field control problems with common noise are the unique viscosity solutions to fully second-order Hamilton-Jacobi-Bellman equations, in a Crandall-Lions-like framework. We allow the…

Optimization and Control · Mathematics 2025-01-06 Erhan Bayraktar , Hang Cheung , Ibrahim Ekren , Jinniao Qiu , Ho Man Tai , Xin Zhang

Recent work on Path-Dependent Partial Differential Equations (PPDEs) has shown that PPDE solutions can be approximated by a probabilistic representation, implemented in the literature by the estimation of conditional expectations using…

Machine Learning · Computer Science 2022-10-05 Jiang Yu Nguwi , Nicolas Privault

In this paper we first study the penalization approximation of stochastic differential equations reflected in a domain which satisfies conditions (A) and (B) and prove that the sequence of solutions of the penalizing equations converges in…

Probability · Mathematics 2016-04-08 Jiagang Ren , Jing Wu

In the 2nd version of this note we introduce the notion of viscosity solution for a type of fully nonlinear parabolic path-dependent partial differential equations (P-PDE). We then prove the comparison theorem (or maximum principle) of this…

Probability · Mathematics 2012-02-21 Shige Peng

In this article, we analyze semi-discrete finite element approximation and full discretization of a fourth-order stochastic pseudo-parabolic equation in a bounded convex polygonal domain driven by additive Wiener noise. We use the finite…

Numerical Analysis · Mathematics 2026-03-11 Suprio Bhar , Mrinmay Biswas , Mangala Prasad

For scalar fully nonlinear partial differential equations depending on the Hessian andspatial coordinates, we present a general theory for obtaining comparison principles and well posedness for the associated Dirichlet problem with…

Analysis of PDEs · Mathematics 2015-05-11 Marco Cirant , Kevin R. Payne

We obtain an error estimate between viscosity solutions and \delta-viscosity solutions of nonhomogeneous fully nonlinear uniformly elliptic equations. The main assumption, besides uniform ellipticity, is that the nonlinearity is…

Analysis of PDEs · Mathematics 2016-03-07 Olga Turanova

Given two continuity equations with density-dependent velocities, we provide a new formula for the Wasserstein distance between the solutions in terms of the difference of velocities evaluated at the same density. The formula is…

Analysis of PDEs · Mathematics 2026-03-27 José A. Carrillo , Piotr Gwiazda , Jakub Skrzeczkowski

Parabolic partial differential equations (PDEs) and backward stochastic differential equations (BSDEs) are key ingredients in a number of models in physics and financial engineering. In particular, parabolic PDEs and BSDEs are fundamental…

Numerical Analysis · Mathematics 2020-11-25 Weinan E , Martin Hutzenthaler , Arnulf Jentzen , Thomas Kruse

We prove first-order convergence of semi-discrete monotone finite difference schemes for Hamilton--Jacobi equations on the Wasserstein space over a finite graph. A central challenge is the boundary degeneracy of the Wasserstein simplex,…

Numerical Analysis · Mathematics 2026-05-22 Jianbo Cui , Tonghe Dang

Parabolic partial differential equations (PDEs) and backward stochastic differential equations (BSDEs) have a wide range of applications. In particular, high-dimensional PDEs with gradient-dependent nonlinearities appear often in the…

Numerical Analysis · Mathematics 2022-04-18 Martin Hutzenthaler , Thomas Kruse

Von Renesse and the author (Ann. Prob. '09) developed a second order calculus on the Wasserstein space P([0,1]) of probability measures on the unit interval. The basic objects of interest had been Dirichlet form, semigroup and continuous…

Probability · Mathematics 2011-05-20 Karl-Theodor Sturm

Existence and uniqueness for semilinear stochastic evolution equations with additive noise by means of finite dimensional Galerkin approximations is established and the convergence rate of the Galerkin approximations to the solution of the…

Numerical Analysis · Mathematics 2021-11-02 Dirk Blömker , Arnulf Jentzen

This paper concerns the convergence of empirical measures in high dimensions. We propose a new class of probability metrics and show that under such metrics, the convergence is free of the curse of dimensionality (CoD). Such a feature is…

Probability · Mathematics 2023-09-19 Jiequn Han , Ruimeng Hu , Jihao Long

This paper explores the application of nonsmooth analysis in the Wasserstein space to finite-horizon optimal control problems for nonlocal continuity equations. We characterize the value function as a strict viscosity solution of the…

Optimization and Control · Mathematics 2025-04-28 Yurii Averboukh , Aleksei Volkov

This work introduces a general framework for establishing the long time accuracy for approximations of Markovian dynamical systems on separable Banach spaces. Our results illuminate the role that a certain uniformity in Wasserstein…

Numerical Analysis · Mathematics 2023-02-06 Nathan E. Glatt-Holtz , Cecilia F. Mondaini

We establish new results for path-dependent Hamilton-Jacobi equations with nonlinear monotone, and coercive operators on Hilbert space, which were initially studied in Bayraktar and Keller [J. Funct. Anal., 275 (8) (2018), pp. 2096-2161].…

Analysis of PDEs · Mathematics 2025-09-22 Erhan Bayraktar , Mikhail Gomoyunov , Christian Keller

We prove the global-in-time existence of nonnegative weak solutions to a class of fourth order partial differential equations on a convex bounded domain in arbitrary spatial dimensions. Our proof relies on the formal gradient flow structure…

Analysis of PDEs · Mathematics 2015-07-21 Daniel Loibl , Daniel Matthes , Jonathan Zinsl

A deterministic method is proposed for solving the Boltzmann equation. The method employs a Galerkin discretization of the velocity space and adopts, as trial and test functions, the collocation basis functions based on weights and roots of…

Computational Physics · Physics 2013-11-19 Gian Pietro Ghiroldi , Livio Gibelli
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