Improved uniform error bounds on parareal exponential algorithm for highly oscillatory systems

IF 1.6 3区 数学 Q3 COMPUTER SCIENCE, SOFTWARE ENGINEERING
Bin Wang, Yaolin Jiang
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Abstract

For the well known parareal algorithm, we formulate and analyse a novel class of parareal exponential schemes with improved uniform accuracy for highly oscillatory system \(\ddot{q}+\frac{1}{\varepsilon ^2}M q =\frac{1}{\varepsilon ^{\mu }}f(q)\) with \(\mu =0\) or 1. The solution of this considered system propagates waves with wavelength at \(\mathcal {O} (\varepsilon )\) in time and the value of \(\mu \) corresponds to the strength of nonlinearity. This brings significantly numerical burden in scientific computation for highly oscillatory systems with \(0<\varepsilon \ll 1\). The new proposed algorithm is formulated by using some reformulation approaches to the problem, Fourier pseudo-spectral methods, and parareal exponential integrators. The fast Fourier transform is incorporated in the implementation. We rigorously study the convergence, showing that for nonlinear systems, the algorithm has improved uniform accuracy \(\mathcal {O}\big ( \varepsilon ^{(2k+3)(1-\mu )}\Delta t^{2k+2}+\varepsilon ^{5(1-\mu )}\delta t^4\big )\) in the position and \(\mathcal {O}\big ( \varepsilon ^{(2k+3)(1-\mu )-1}\Delta t^{2k+2}+\varepsilon ^{4-5\mu }\delta t^4\big )\) in the momenta, where k is the number of parareal iterations, and \(\Delta t\) and \(\delta t\) are two time stepsizes used in the algorithm. The energy conservation is also discussed and the algorithm is shown to have an improved energy conservation. Numerical experiments are provided and the numerical results demonstrate the improved uniform accuracy and improved energy conservation of the obtained integrator through four Hamiltonian differential equations including nonlinear wave equations.

Abstract Image

高振荡系统准指数算法的改进均匀误差边界
对于众所周知的抛物线算法,我们提出并分析了一类新的抛物线指数方案,该方案对于高度振荡系统 \(\ddot{q}+\frac{1}{\varepsilon ^2}M q =\frac{1}{\varepsilon ^{\mu }}f(q)\) with \(\mu =0\) or 1 具有更高的均匀精度。这个系统的解会传播波长为 \(\mathcal {O} (\varepsilon )\) 的波,而 \(\mu \) 的值与非线性的强度相对应。这为具有 \(0<\varepsilon \ll 1\) 的高度振荡系统的科学计算带来了很大的数值负担。新提出的算法是通过对问题的一些重拟方法、傅立叶伪谱方法和准指数积分器来制定的。快速傅里叶变换被纳入了算法的实现过程。我们对收敛性进行了严格研究,结果表明,对于非线性系统、\varepsilon ^{(2k+3)(1-\mu )}\Delta t^{2k+2}+\varepsilon ^{5(1-.\varepsilon ^{(2k+3)(1-\mu )-1}\Delta t^{2k+2}+\varepsilon ^{4-5\mu }\delta t^^4\big )\) 中的位置和( ( (varepsilon ^{(2k+3)(1-\mu )-1}\Delta t^{2k+2}+\varepsilon ^{4-5\mu }\delta t^^4\big )\ )中的矩、其中 k 是迭代次数,\(\delta t\) 和 \(\delta t\) 是算法中使用的两个时间步长。还讨论了能量守恒问题,并证明该算法具有更好的能量守恒。提供了数值实验,数值结果表明通过四个哈密顿微分方程(包括非线性波方程)得到的积分器具有更好的均匀精度和能量守恒。
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来源期刊
BIT Numerical Mathematics
BIT Numerical Mathematics 数学-计算机:软件工程
CiteScore
2.90
自引率
0.00%
发文量
38
审稿时长
6 months
期刊介绍: The journal BIT has been published since 1961. BIT publishes original research papers in the rapidly developing field of numerical analysis. The essential areas covered by BIT are development and analysis of numerical methods as well as the design and use of algorithms for scientific computing. Topics emphasized by BIT include numerical methods in approximation, linear algebra, and ordinary and partial differential equations.
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