Suppr超能文献

用于计算非线性微分方程多个解的基于伴随的多层次有限元方法。

Companion-based multi-level finite element method for computing multiple solutions of nonlinear differential equations.

作者信息

Hao Wenrui, Lee Sun, Lee Young Ju

机构信息

Department of Mathematics, Penn State, 16802 PA, State College, USA.

Department of Mathematics, Texas State, 78666 TX, San Marcos, USA.

出版信息

Comput Math Appl. 2024 Aug 15;168:162-173. doi: 10.1016/j.camwa.2024.05.035. Epub 2024 Jun 14.

Abstract

The utilization of nonlinear differential equations has resulted in remarkable progress across various scientific domains, including physics, biology, ecology, and quantum mechanics. Nonetheless, obtaining multiple solutions for nonlinear differential equations can pose considerable challenges, particularly when it is difficult to find suitable initial guesses. To address this issue, we propose a pioneering approach known as the Companion-Based Multilevel Finite Element Method (CBMFEM). This novel technique efficiently and accurately generates multiple initial guesses for solving nonlinear elliptic semi-linear equations containing polynomial nonlinear terms through the use of finite element methods with conforming elements. As a theoretical foundation of CBMFEM, we present an appropriate and new concept of the isolated solution to the nonlinear elliptic equations with multiple solutions. The newly introduced concept is used to establish the inf-sup condition for the linearized equation around the isolated solution. Furthermore, it is crucially used to derive a theoretical error analysis of finite element methods for nonlinear elliptic equations with multiple solutions. A number of numerical results obtained using CBMFEM are then presented and compared with a traditional method. These not only show the CBMFEM's superiority, but also support our theoretical analysis. Additionally, these results showcase the effectiveness and potential of our proposed method in tackling the challenges associated with multiple solutions in nonlinear differential equations with different types of boundary conditions.

摘要

非线性微分方程的应用在包括物理、生物学、生态学和量子力学在内的各个科学领域都取得了显著进展。然而,求非线性微分方程的多个解可能会带来相当大的挑战,尤其是在难以找到合适的初始猜测值时。为了解决这个问题,我们提出了一种开创性的方法,称为基于伴随的多级有限元方法(CBMFEM)。这种新技术通过使用具有协调单元的有限元方法,高效且准确地为求解包含多项式非线性项的非线性椭圆型半线性方程生成多个初始猜测值。作为CBMFEM的理论基础,我们提出了一个适用于具有多个解的非线性椭圆方程的孤立解的新概念。新引入的概念用于为孤立解周围的线性化方程建立下-上条件。此外,它还被关键地用于推导具有多个解的非线性椭圆方程的有限元方法的理论误差分析。然后给出了使用CBMFEM获得的一些数值结果,并与传统方法进行了比较。这些结果不仅显示了CBMFEM的优越性,还支持了我们的理论分析。此外,这些结果展示了我们提出的方法在应对具有不同类型边界条件的非线性微分方程中与多个解相关的挑战时的有效性和潜力。

相似文献

5
Can physics-informed neural networks beat the finite element method?基于物理信息的神经网络能否击败有限元方法?
IMA J Appl Math. 2024 May 23;89(1):143-174. doi: 10.1093/imamat/hxae011. eCollection 2024 Jan.

本文引用的文献

2
Spectral Methods for Numerical Relativity.数值相对论的谱方法。
Living Rev Relativ. 2009;12(1):1. doi: 10.12942/lrr-2009-1. Epub 2009 Jan 9.
3
Swift-Hohenberg equation for lasers.激光的Swift-Hohenberg方程。
Phys Rev Lett. 1994 Nov 28;73(22):2978-2981. doi: 10.1103/PhysRevLett.73.2978.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验