On the Convergence of Sobolev Gradient Flow for the Gross–Pitaevskii Eigenvalue Problem

IF 2.8 2区 数学 Q1 MATHEMATICS, APPLIED SIAM Journal on Numerical Analysis Pub Date : 2024-03-04 DOI:10.1137/23m1552553
Ziang Chen, Jianfeng Lu, Yulong Lu, Xiangxiong Zhang
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Abstract

SIAM Journal on Numerical Analysis, Volume 62, Issue 2, Page 667-691, April 2024.
Abstract. We study the convergences of three projected Sobolev gradient flows to the ground state of the Gross–Pitaevskii eigenvalue problem. They are constructed as the gradient flows of the Gross–Pitaevskii energy functional with respect to the [math]-metric and two other equivalent metrics on [math], including the iterate-independent [math]-metric and the iterate-dependent [math]-metric. We first prove the energy dissipation property and the global convergence to a critical point of the Gross–Pitaevskii energy for the discrete-time [math] and [math]-gradient flow. We also prove local exponential convergence of all three schemes to the ground state.
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论格罗斯-皮塔耶夫斯基特征值问题索波列夫梯度流的收敛性
SIAM 数值分析期刊》第 62 卷第 2 期第 667-691 页,2024 年 4 月。 摘要。我们研究了三个投影索波列梯度流对格罗斯-皮塔耶夫斯基特征值问题基态的收敛性。它们被构造为格罗斯-皮塔耶夫斯基能量函数相对于[math]度量和[math]上另外两个等效度量(包括迭代无关的[math]度量和迭代无关的[math]度量)的梯度流。我们首先证明了离散时间[math]和[math]梯度流的能量耗散特性和对格罗斯-皮塔耶夫斯基能量临界点的全局收敛性。我们还证明了所有三种方案对基态的局部指数收敛。
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来源期刊
CiteScore
4.80
自引率
6.90%
发文量
110
审稿时长
4-8 weeks
期刊介绍: SIAM Journal on Numerical Analysis (SINUM) contains research articles on the development and analysis of numerical methods. Topics include the rigorous study of convergence of algorithms, their accuracy, their stability, and their computational complexity. Also included are results in mathematical analysis that contribute to algorithm analysis, and computational results that demonstrate algorithm behavior and applicability.
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