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We propose a fully discrete variational scheme for nonlinear evolution equations with gradient flow structure on the space of finite Radon measures on an interval with respect to a generalized version of the Wasserstein distance with…

数值分析 · 数学 2016-09-29 Jonathan Zinsl , Daniel Matthes

We analyze some parabolic PDEs with different drift terms which are gradient flows in the Wasserstein space and consider the corresponding discrete-in-time JKO scheme. We prove with optimal transport techniques how to control the L p and L…

偏微分方程分析 · 数学 2019-11-26 Simone Di Marino , Filippo Santambrogio

A direct method for the computation of polynomial conservation laws of polynomial systems of nonlinear partial differential equations (PDEs) in multi-dimensions is presented. The method avoids advanced differential-geometric tools. Instead,…

可精确求解与可积系统 · 物理学 2015-06-26 Willy Hereman

We study the modeling of a compressible two-phase flow in a porous medium. The governing free boundary problem is known as the Verigin problem with phase transition. We introduce a novel variational framework to construct weak solutions.…

偏微分方程分析 · 数学 2026-01-29 Anna Kubin , Tim Laux , Alice Marveggio

We develop structure preserving schemes for a class of nonlinear mobility continuity equation. When the mobility is a concave function, this equation admits a form of gradient flow with respect to a Wasserstein-like transport metric. Our…

数值分析 · 数学 2025-10-21 Jose A. Carrillo , Li Wang , Chaozhen Wei

In this paper, we consider the problem of propagating an uncertain distribution by a possibly non-linear function and quantifying the resulting uncertainty. We measure the uncertainty using the Wasserstein distance, and for a given input…

系统与控制 · 电气工程与系统科学 2025-06-13 Eduardo Figueiredo , Steven Adams , Peyman Mohajerin Esfahani , Luca Laurenti

It is shown that large classes of nonlinear systems of PDEs, with possibly associated initial and/or boundary value problems, can be solved by the method of order completion. The solutions obtained can be assimilated with Hausdorff…

偏微分方程分析 · 数学 2007-05-23 Roumen Anguelov , Elemer E Rosinger

In this paper, we find some general and efficient sufficient conditions for the exponential convergence $W_{1,d}(P_t(x,\cdot), P_t(y,\cdot) )\le Ke^{-\delta t}d(x,y)$ for the semigroup $(P_t)$ of one-dimensional diffusion. Moreover some…

概率论 · 数学 2017-03-03 Lingyan Cheng , Ruinan Li , Liming Wu

Studying the dynamics of open quantum systems can enable breakthroughs both in fundamental physics and applications to quantum engineering and quantum computation. Since the density matrix $\rho$, which is the fundamental description for…

量子物理 · 物理学 2023-06-08 Owen Dugan , Peter Y. Lu , Rumen Dangovski , Di Luo , Marin Soljačić

We prove some regularity results for a class of two dimensional non-Newtonian fluids. By applying results from [Dashti and Robinson, Nonlinearity, 22 (2009), 735-746] we can then show uniqueness of particle trajectories.

偏微分方程分析 · 数学 2015-06-05 Luigi C. Berselli , Luca Bisconti

We study a model for rate-dependent gradient plasticity at finite strain based on the multiplicative decomposition of the strain tensor, and investigate the existence of global-in-time solutions to the related PDE system. We reveal its…

偏微分方程分析 · 数学 2018-01-17 Alexander Mielke , Riccarda Rossi , Giuseppe Savaré

The existence and uniqueness of stationary distributions and the exponential convergence in $L^p$-Wasserstein distance are derived for distribution dependent SDEs from associated decoupled equations. To establish the exponential…

概率论 · 数学 2022-03-14 Shao-Qin Zhang

We study the connection between a system of many independent Brownian particles on one hand and the deterministic diffusion equation on the other. For a fixed time step $h>0$, a large-deviations rate functional $J_h$ characterizes the…

概率论 · 数学 2015-05-18 Stefan Adams , Nicolas Dirr , Mark Peletier , Johannes Zimmer

We represent an algorithm reducing the $(M+1)$-dimensional nonlinear partial differential equation (PDE) representable in the form of one-dimensional flow $u_t + w_{x_1}(u,u_{x},u_{xx},\dots)=0$, (where $w$ is an arbitrary local function of…

可精确求解与可积系统 · 物理学 2013-09-23 A. I. Zenchuk

Diffusion models are one of the most important families of deep generative models. In this note, we derive a quantitative upper bound on the Wasserstein distance between the data-generating distribution and the distribution learned by a…

机器学习 · 计算机科学 2024-09-17 Sokhna Diarra Mbacke , Omar Rivasplata

The porous media equation has been proposed as a phenomenological ``non-extensive'' generalization of classical diffusion. Here, we show that a very similar equation can be derived, in a systematic manner, for a classical fluid by assuming…

统计力学 · 物理学 2007-05-23 James F. Lutsko , Jean Pierre Boon

Interacting particle systems provide a fundamental framework for modeling collective behavior in biological, social, and physical systems. In many applications, stochastic perturbations are essential for capturing environmental variability…

适应与自组织系统 · 物理学 2026-02-04 Su Yang , Weiqi Chu , Panayotis G. Kevrekidis

Solving inverse problems without the use of derivatives or adjoints of the forward model is highly desirable in many applications arising in science and engineering. In this paper, we propose a new version of such a methodology, a framework…

动力系统 · 数学 2019-10-17 Alfredo Garbuno-Inigo , Franca Hoffmann , Wuchen Li , Andrew M. Stuart

We present simulations of coherent structures in compressible flows near the transition to turbulence using the Dissipative Particle Dynamics (DPD) method. The structures we find are remarkably consistent with experimental observations and…

流体动力学 · 物理学 2008-07-09 Jan-Willem van de Meent , Alexander Morozov , Ellak Somfai , Eric Sultan , Wim van Saarloos

We investigate the relation between pluri-Lagrangian hierarchies of $2$-dimensional partial differential equations and their variational symmetries. The aim is to generalize to the case of partial differential equations the recent findings…

可精确求解与可积系统 · 物理学 2020-12-17 Matteo Petrera , Mats Vermeeren