paper-with-me

Papers

A Regularity Theory for Static Schrödinger Equations on $\mathbb{R}^d$ in Spectral Barron Spaces

2022-01-25 · Ziang Chen, Jianfeng Lu, Yulong Lu, Shengxuan Zhou

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 solutions to the whole-space static Schr\"odinger equation in spectral Barron spaces. We prove that if the source of the equation lies in the spectral Barron space $\mathcal{B}^s(\mathbb{R}^d)$ and the potential function admitting a non-negative lower bound decomposes as a positive constant plus a function in $\mathcal{B}^s(\mathbb{R}^d)$, then the solution lies in the spectral Barron space $\mathcal{B}^{s+2}(\mathbb{R}^d)$.

📄 PDF Abstract BibTeX arXiv:2201.10072

Code (0)

등록된 구현이 없습니다.

Similar Papers 제목 키워드 기반

A Priori Generalization Analysis of the Deep Ritz Method for Solving High Dimensional Elliptic Equations

2021-01-05 · Jianfeng Lu, Yulong Lu, Min Wang

This paper concerns the a priori generalization analysis of the Deep Ritz Method (DRM) [W. E and B. Yu, 2017], a popular neural-network-based method for solving high dimensional partial differential equations. We derive …

A Theory of Diversity for Random Matrices with Applications to In-Context Learning of Schrödinger Equations

2026-01-18 · Frank Cole, Yulong Lu, Shaurya Sehgal arxiv

We address the following question: given a collection $\{\mathbf{A}^{(1)}, \dots, \mathbf{A}^{(N)}\}$ of independent $d \times d$ random matrices drawn from a common distribution $\mathbb{P}$, what is the probability tha…

Neural Schrödinger Bridge with Sinkhorn Losses: Application to Data-driven Minimum Effort Control of Colloidal Self-assembly

2023-07-26 · Iman Nodozi, Charlie Yan, Mira Khare, Abhishek Halder 외

We show that the minimum effort control of colloidal self-assembly can be naturally formulated in the order-parameter space as a generalized Schr\"{o}dinger bridge problem -- a class of fixed-horizon stochastic optimal c…

A Priori Generalization Error Analysis of Two-Layer Neural Networks for Solving High Dimensional Schrödinger Eigenvalue Problems

2021-05-04 · Jianfeng Lu, Yulong Lu

This paper analyzes the generalization error of two-layer neural networks for computing the ground state of the Schr\"odinger operator on a $d$-dimensional hypercube. We prove that the convergence rate of the generalizat…

The nonlinear Bernstein-Schr\"odinger equation in Economics

2015-07-14

In this paper we relate the Equilibrium Assignment Problem (EAP), which is underlying in several economics models, to a system of nonlinear equations that we call the "nonlinear Bernstein-Schr\"odinger system", which is…