广义非线性薛定谔方程的新型多级有限元方法

IF 4.6 Q2 MATERIALS SCIENCE, BIOMATERIALS ACS Applied Bio Materials Pub Date : 2024-09-12 DOI:10.1016/j.cam.2024.116280
Fei Xu , Yasai Guo , Manting Xie
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引用次数: 0

摘要

在本文中,我们重点研究了一种高效的多层次有限元方法来求解时变非线性薛定谔方程,该方程是数学物理中最重要的方程之一。对于时间导数,我们采用了包括后向欧拉法和 Crank-Nicolson 法在内的隐式方案。基于这些稳定的隐式方案,所提出的方法需要在每个时间步求解一个非线性椭圆问题。针对这些非线性椭圆方程,我们构建了多级网格序列。在每一级网格中,我们首先在一个特殊的修正子空间中修正上一级网格的近似值,从而得到一个粗略的近似值。修正子空间由粗有限元空间和上一级网格得到的附加近似解组成。接下来,我们只需在非线性项中插入粗糙近似解,即可求解线性化椭圆方程。然后,我们通过在多级网格序列上执行上述求解过程,得出精确的近似解,直至最后一级网格。由于修正子空间的特殊构造,我们首次推导出了一种求解非线性薛定谔方程的多级有限元方法,同时我们还推导出了一种具有线性计算复杂度的最优误差估计。此外,与现有的非线性问题多级方法通常需要非线性项的有界二阶导数不同,我们的研究中的非线性项只需要一阶导数。我们提供的数值结果支持了我们的理论分析,并证明了所提出方法的效率。
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A novel multilevel finite element method for a generalized nonlinear Schrödinger equation

In this article, we focus on an efficient multilevel finite element method to solve the time-dependent nonlinear Schrödinger equation which is one of the most important equations of mathematical physics. For the time derivative, we adopt implicit schemes including the backward Euler method and the Crank–Nicolson method. Based on these stable implicit schemes, the proposed method requires solving a nonlinear elliptic problem at each time step. For these nonlinear elliptic equations, a multilevel mesh sequence is constructed. At each mesh level, we first derive a rough approximation by correcting the approximation of the previous mesh level in a special correction subspace. The correction subspace is composed of a coarse finite element space and an additional approximate solution derived from the previous mesh level. Next, we only need to solve a linearized elliptic equation by inserting the rough approximation into the nonlinear term. Then, we derive an accurate approximate solution by performing the aforementioned solving process on the multilevel mesh sequence until we reach the final mesh level. Owing to the special construct of the correction subspace, we derive a multilevel finite element method to solve the nonlinear Schrödinger equation for the first time, and meanwhile we also derive an optimal error estimate with linear computational complexity. Additionally, unlike the existing multilevel methods for nonlinear problems, that typically require bounded second-order derivatives of the nonlinear terms, the nonlinear term in our study requires only one-order derivatives. Numerical results are provided to support our theoretical analysis and demonstrate the efficiency of the presented method.

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来源期刊
ACS Applied Bio Materials
ACS Applied Bio Materials Chemistry-Chemistry (all)
CiteScore
9.40
自引率
2.10%
发文量
464
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