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Before proving (unconditional) energy stability for gradient flows, most existing studies either require a strong Lipschitz condition regarding the non-linearity or certain $L^{\infty}$ bounds on the numerical solutions (the maximum…

数值分析 · 数学 2024-06-13 J. Sun , H. Wang , H. Zhang , X. Qian , S. Song

In Athreya, L\"ohr, Winter (2016), an invariance principle is stated for a class of strong Markov processes on tree-like metric measure spaces. It is shown that if the underlying spaces converge Gromov vaguely, then the processes converge…

概率论 · 数学 2016-09-12 Siva Athreya , Wolfgang Löhr , Anita Winter

This paper addresses the gradient flow -- the continuous-time representation of the gradient method -- with the smooth approximation of a non-differentiable objective function and presents convergence analysis framework. Similar to the…

最优化与控制 · 数学 2023-12-08 Mitsuru Toyoda , Akatsuki Nishioka , Mirai Tanaka

Stochastic Gradient Descent (SGD) has been the method of choice for learning large-scale non-convex models. While a general analysis of when SGD works has been elusive, there has been a lot of recent progress in understanding the…

机器学习 · 计算机科学 2022-10-14 Satyen Kale , Jason D. Lee , Chris De Sa , Ayush Sekhari , Karthik Sridharan

The time decay of fully discrete finite-volume approximations of porous-medium and fast-diffusion equations with Neumann or periodic boundary conditions is proved in the entropy sense. The algebraic or exponential decay rates are computed…

数值分析 · 数学 2013-03-18 Claire Chainais-Hillairet , Ansgar Jüngel , Stefan Schuchnigg

Stochastic gradient optimization methods are broadly used to minimize non-convex smooth objective functions, for instance when training deep neural networks. However, theoretical guarantees on the asymptotic behaviour of these methods…

最优化与控制 · 数学 2023-07-17 Jean-Baptiste Fest , Audrey Repetti , Emilie Chouzenoux

We consider multi-gradient fluids endowed with a volumetric internal energy which is a function of mass density, volumetric entropy and their successive gradients. We obtained the thermodynamic forms of equation of motions and equation of…

经典物理 · 物理学 2018-12-19 Henri Gouin

We construct a new finite difference method for the flow of ideal viscous isentropic gas in one spatial dimension. For the continuity equation, the method is a standard upwind discretization. For the momentum equation, the method is an…

数值分析 · 数学 2013-03-13 Trygve K. Karper

The Gromov-Wasserstein (GW) distance quantifies discrepancy between metric measure spaces and provides a natural framework for aligning heterogeneous datasets. Alas, as exact computation of GW alignment is NP hard, entropic regularization…

最优化与控制 · 数学 2024-01-11 Gabriel Rioux , Ziv Goldfeld , Kengo Kato

We study the time evolution of velocity and pressure gradients in isotropic turbulence, by quantifying their decorrelation time scales as one follows fluid particles in the flow. The Lagrangian analysis uses data in a public database…

流体动力学 · 物理学 2015-05-14 Huidan Yu , Charles Meneveau

The purpose of this work is to establish a quantitative and constructive stability result for a class of subcritical Gagliardo-Nirenberg-Sobolev inequalities which interpolates between the logarithmic Sobolev inequality and the standard…

偏微分方程分析 · 数学 2025-02-07 Matteo Bonforte , Jean Dolbeault , Bruno Nazaret , Nikita Simonov

This work is the third part of a program initiated in arXiv:2111.13258, arXiv:2302.06571 aiming at the development of an intrinsic geometric well-posedness theory for Hamilton-Jacobi equations related to controlled gradient flow problems in…

偏微分方程分析 · 数学 2024-02-02 Giovanni Conforti , Richard C. Kraaij , Luca Tamanini , Daniela Tonon

We derive a universal thermodynamic bound constraining directional transport in both discrete and continuous nonequilibrium systems. For continuous-time Markov jump processes and overdamped diffusions governed by Fokker--Planck equations,…

统计力学 · 物理学 2025-08-26 Mesfin Taye

We study the high-frequency limit of non-autonomous gradient flows in metric spaces of energy functionals comprising an explicitly time-dependent perturbation term which might oscillate in a rapid way, but fulfills a certain Lipschitz…

偏微分方程分析 · 数学 2016-10-25 Simon Plazotta , Jonathan Zinsl

We consider singularly perturbed gradient flows in Hilbert spaces, driven by a time-dependent, nonconvex, and nonsmooth energy, and address the convergence of their solutions to curves of critical points of the driving energy functional.…

偏微分方程分析 · 数学 2026-03-19 Virginia Agostiniani , Riccarda Rossi , Giuseppe Savaré

This work is the second part of a program initiated in arXiv:2111.13258 aiming at the development of an intrinsic geometric well-posedness theory for Hamilton-Jacobi equations related to controlled gradient flow problems in metric spaces.…

偏微分方程分析 · 数学 2024-01-17 Giovanni Conforti , Richard C. Kraaij , Daniela Tonon

We investigate the Moreau-Yosida regularization and the associated proximal map in the context of discrete gradient flow for the 2-Wasserstein metric. Our main results are a stepwise contraction property for the proximal map and an "above…

偏微分方程分析 · 数学 2012-10-17 Eric A. Carlen , Katy Craig

We prove the convergence of a Wasserstein gradient flow of a free energy in inhomogeneous media. Both the energy and media can depend on the spatial variable in a fast oscillatory manner. In particular, we show that the gradient-flow…

偏微分方程分析 · 数学 2025-08-19 Yuan Gao , Nung Kwan Yip

In this article we study the anisotropic curve shortening flow for a planar network of three curves with fixed endpoints and which meet in a triple junction. We show that the anisotropic curvature energy fulfills a Lojasiewicz-Simon…

偏微分方程分析 · 数学 2023-10-10 Michael Gößwein , Matteo Novaga , Paola Pozzi

This paper is devoted to logarithmic Hardy-Littlewood-Sobolev inequalities in the two-dimensional Euclidean space, in presence of an external potential with logarithmic growth. The coupling with the potential introduces a new parameter,…

偏微分方程分析 · 数学 2019-12-25 Jean Dolbeault , Xingyu Li