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Wasserstein balls, which contain all probability measures within a pre-specified Wasserstein distance to a reference measure, have recently enjoyed wide popularity in the distributionally robust optimization and machine learning communities…

Optimization and Control · Mathematics 2021-06-08 Man-Chung Yue , Daniel Kuhn , Wolfram Wiesemann

A general purely crystalline mean curvature flow equation with a nonuniform driving force term is considered. The unique existence of a level set flow is established when the driving force term is continuous and spatially Lipschitz…

Analysis of PDEs · Mathematics 2020-06-09 Yoshikazu Giga , Norbert Pozar

We prove a comparison result for viscosity solutions of second order parabolic partial differential equations in the Wasserstein space. The comparison is valid for semisolutions that are Lipschitz continuous in the measure in a…

Analysis of PDEs · Mathematics 2024-10-16 Erhan Bayraktar , Ibrahim Ekren , Xin Zhang

We propose a variational approach to approximate measures with measures uniformly distributed over a 1 dimentional set. The problem consists in minimizing a Wasserstein distance as a data term with a regularization given by the length of…

Analysis of PDEs · Mathematics 2024-10-17 Antonin Chambolle , Vincent Duval , Joao Miguel Machado

Variational problems that involve Wasserstein distances have been recently proposed to summarize and learn from probability measures. Despite being conceptually simple, such problems are computationally challenging because they involve…

Machine Learning · Statistics 2015-08-26 Marco Cuturi , Gabriel Peyré

We study the Bellman equation in the Wasserstein space arising in the study of mean field control problems, namely stochastic optimal control problems for McKean-Vlasov diffusion processes.Using the standard notion of viscosity solution \`a…

Analysis of PDEs · Mathematics 2022-02-10 Andrea Cosso , Fausto Gozzi , Idris Kharroubi , Huyên Pham , Mauro Rosestolato

In this paper, we study the problem concerning the approximation of a rigid obstacle for flows governed by the stationary Navier-Stokes equations in the two-dimensional case. The idea is to consider a highly viscous fluid in the place of…

Analysis of PDEs · Mathematics 2022-09-26 Sadokat Malikova

This paper aims to compare and evaluate various obstacle approximation techniques employed in the context of the steady incompressible Navier-Stokes equations. Specifically, we investigate the effectiveness of a standard volume penalization…

Analysis of PDEs · Mathematics 2024-01-05 Piotr Krzyżanowski , Sadokat Malikova , Piotr B. Mucha , Tomasz Piasecki

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

In this article, a notion of viscosity solutions is introduced for fully nonlinear second order path-dependent partial differential equations in the spirit of [Zhou, Ann. Appl. Probab., 33 (2023), 5564-5612]. We prove the existence,…

Probability · Mathematics 2024-05-13 Shanjian Tang , Jianjun Zhou

The main objective of this paper and the accompanying one \cite{ETZ2} is to provide a notion of viscosity solutions for fully nonlinear parabolic path-dependent PDEs. Our definition extends our previous work \cite{EKTZ}, focused on the…

Probability · Mathematics 2014-09-15 Ibrahim Ekren , Nizar Touzi , Jianfeng Zhang

In this paper we investigate a path dependent optimal control problem on the process space with both drift and volatility controls, with possibly degenerate volatility. The dynamic value function is characterized by a fully nonlinear second…

Optimization and Control · Mathematics 2025-07-23 Jianjun Zhou , Nizar Touzi , Jianfeng Zhang

We study a class of non linear integro-differential equations on the Wasserstein space related to the optimal control of McKean--Vlasov jump-diffusions. We develop an intrinsic notion of viscosity solutions that does not rely on the lifting…

Optimization and Control · Mathematics 2019-10-03 Matteo Burzoni , Vincenzo Ignazio , A. Max Reppen , H. Mete Soner

Given a complete, connected Riemannian manifold $ \mathbb{M}^n $ with Ricci curvature bounded from below, we discuss the stability of the solutions of a porous medium-type equation with respect to the 2-Wasserstein distance. We produce…

Analysis of PDEs · Mathematics 2022-07-29 Nicolò De Ponti , Matteo Muratori , Carlo Orrieri

Wasserstein barycenters define averages of probability measures in a geometrically meaningful way. Their use is increasingly popular in applied fields, such as image, geometry or language processing. In these fields however, the probability…

Numerical Analysis · Mathematics 2023-03-13 Guillaume Carlier , Alex Delalande , Quentin Merigot

Viscosity solutions to the eikonal equation |Du|g = 1, known to be exactly distance-like functions, on a non-compact complete Riemannian manifold (M,g) are crucial for understanding the underlying geometric and topological properties. In…

Analysis of PDEs · Mathematics 2025-01-03 Huajian Jiang , Xiaojun Cui

This paper presents a finite-dimensional approximation for a class of partial differential equations on the space of probability measures. These equations are satisfied in the sense of viscosity solutions. The main result states the…

Probability · Mathematics 2024-07-24 Mehdi Talbi

We prove the existence of a unique viscosity solution to certain systems of fully nonlinear parabolic partial differential equations with interconnected obstacles in the setting of Neumann boundary conditions. The method of proof builds on…

Analysis of PDEs · Mathematics 2022-05-24 Niklas L. P. Lundström , Marcus Olofsson

This paper studies Hamilton-Jacobi equations of evolution type defined in a general metric space. We give a notion of a solution through optimal principles and establish a unique existence theorem of the solution for initial value problems.…

Analysis of PDEs · Mathematics 2014-07-30 Atsushi Nakayasu

The quantization problem aims to find the best possible approximation of probability measures on ${\mathbb{R}}^d$ using finite, discrete measures. The Wasserstein distance is a typical choice to measure the quality of the approximation.…

Probability · Mathematics 2023-09-11 Rajmadan Lakshmanan , Alois Pichler