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相关论文: Regularity of the Schr{\"o}dinger cost

200 篇论文

This paper's aim is threefold. First, using Feynman's path approach to the derivation of theclassical Schr{\"o}dinger's equation in [6] and by introducing a slight path (or wave) dependency ofthe action, we derive a new class of equations…

偏微分方程分析 · 数学 2024-11-05 Ioana Ciotir , Dan Goreac , Juan Li , Xinru Zhang

This brief note aims to introduce the recent paradigm of distributional robustness in the field of shape and topology optimization. Acknowledging that the probability law of uncertain physical data is rarely known beyond a rough…

最优化与控制 · 数学 2023-01-13 Charles Dapogny , Franck Iutzeler , Andrea Meda , Boris Thibert

In this paper we introduce the dynamical Schr\"odinger problem on abstract metric spaces, defined for a wide class of entropy and Fisher information functionals. Under very mild assumptions we prove a generic Gamma-convergence result…

泛函分析 · 数学 2023-05-09 Léonard Monsaingeon , Luca Tamanini , Dmitry Vorotnikov

We prove that solutions of the toroidal Schr{\"o}dinger equation can be observed from suitably curved space-time trajectories, thus of zero Lebesgue measure. To do so, we establish new upper and lower bounds for certain trigonometric sums…

偏微分方程分析 · 数学 2026-03-17 Bernhard H Haak , Philippe Jaming , Ming Wang , Yunlei Wang

We consider perturbations of the semiclassical Schr{\"o}dinger equation on a compact Riemannian surface with constant negative curvature and without boundary. We show that, for scales of times which are logarithmic in the size of the…

偏微分方程分析 · 数学 2014-12-16 Gabriel Riviere

In this work we study the optimality of increasing stability of the inverse boundary value problem (IBVP) for Schr\"{o}dinger equation. The rigorous justification of increasing stability for the IBVP for Schr\"{o}dinger equation were…

偏微分方程分析 · 数学 2023-01-13 Pu-Zhao Kow , Gunther Uhlmann , Jenn-Nan Wang

We consider the wave and Schr\"odinger equations on a bounded open connected subset $\Omega$ of a Riemannian manifold, with Dirichlet, Neumann or Robin boundary conditions whenever its boundary is nonempty. We observe the restriction of the…

最优化与控制 · 数学 2012-11-27 Yannick Privat , Emmanuel Trélat , Enrique Zuazua

Random embeddings project high-dimensional spaces to low-dimensional ones; they are careful constructions which allow the approximate preservation of key properties, such as the pair-wise distances between points. Often in the field of…

最优化与控制 · 数学 2022-06-08 Zhen Shao

We study stability and sample complexity properties of divergence regularized optimal transport (DOT). First, we obtain quantitative stability results for optimizers of DOT measured in Wasserstein distance, which are applicable to a wide…

最优化与控制 · 数学 2024-01-17 Erhan Bayraktar , Stephan Eckstein , Xin Zhang

For regularized distributions we establish stability of the characterization of the normal law in Cramer's theorem with respect to the total variation norm and the entropic distance. As part of the argument, Sapogov-type theorems are…

概率论 · 数学 2015-04-14 S. G. Bobkov , G. P. Chistyakov , F. Götze

A stochastic Schr\"odinger equation is presented to describe simultaneous continuous measurement of the position and momentum of a non-relativistic particle. The equation is solved to yield a state localised in position and momentum…

量子物理 · 物理学 2025-09-16 Daniel J. Bedingham

We discuss the observability of a one-dimensional Schr\"odinger equation on certain time dependent domain. In linear moving case, we give the exact boundary and pointwise internal observability for arbitrary time. For the general moving, we…

最优化与控制 · 数学 2018-01-30 Duc-Trung Hoang

We investigate quantitative unique continuation properties for discrete magnetic Schr{\"o}dinger operators in certain periodic graphs. This unique continuation property will be quantified through what is known in the literature as a Three…

经典分析与常微分方程 · 数学 2025-03-19 Philippe Jaming , Yann Bourroux , Aingeru Fernández-Bertolin

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.…

概率论 · 数学 2023-09-11 Rajmadan Lakshmanan , Alois Pichler

Spectral Barron spaces have received considerable interest recently as it is the natural function space for approximation theory of two-layer neural networks with a dimension-free convergence rate. In this paper we study the regularity of…

偏微分方程分析 · 数学 2022-10-20 Ziang Chen , Jianfeng Lu , Yulong Lu , Shengxuan Zhou

Inspired by regularization techniques in statistics and machine learning, we study complementary composite minimization in the stochastic setting. This problem corresponds to the minimization of the sum of a (weakly) smooth function endowed…

机器学习 · 计算机科学 2024-01-24 Alexandre d'Aspremont , Cristóbal Guzmán , Clément Lezane

The Convex Envelope of a given function was recently characterized as the solution of a fully nonlinear Partial Differential Equation (PDE). In this article we study a modified problem: the Dirichlet problem for the underlying PDE. The main…

偏微分方程分析 · 数学 2010-07-07 Luis Silvestre , Adam M. Oberman

This paper is focused on the study of entropic regularization in optimal transport as a smoothing method for Wasserstein estimators, through the prism of the classical tradeoff between approximation and estimation errors in statistics.…

机器学习 · 统计学 2024-10-30 Jérémie Bigot , Paul Freulon , Boris P. Hejblum , Arthur Leclaire

In this article we prove a reducibility result for the linear Schr\"odinger equation on the sphere $\mathbb{S}^{n}$ with quasi-periodic in time perturbation. Our result includes the case of unbounded perturbation that we assume to be of…

偏微分方程分析 · 数学 2019-05-29 Roberto Feola , Benoît Grébert

We investigate the average minimum cost of a bipartite matching between two samples of n independent random points uniformly distributed on a unit cube in d $\ge$ 3 dimensions, where the matching cost between two points is given by any…

偏微分方程分析 · 数学 2021-06-02 Michael Goldman , Dario Trevisan