半线性Klein-Gordon方程Lie分裂的二阶低正则性修正

IF 0.6 4区 数学 Q4 STATISTICS & PROBABILITY
Buyang Li, Katharina Schratz, Franco Zivcovich
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引用次数: 0

摘要

在发现半线性Klein-Gordon方程中一种新的消去结构的基础上,研究了d维空间中d = 1,2,3半线性Klein-Gordon方程非光滑解的数值逼近。这种对消结构使我们能够构建Lie分裂法(即指数欧拉法)的低正则性修正,与其他二阶方法相比,可以显著提高低正则性条件下数值解的精度。在正则性条件下,所提出的时间步进方法在能量空间上具有二阶收敛性 $ (u,{\mathrm{\partial }}_tu)\in {L}^{\mathrm{\infty }}(0,T;{H}^{1+\frac{d}{4}}\times {H}^{\frac{d}{4}})$ . 在一维情况下,所提出的方法几乎具有 $ \frac{4}{3}$ L∞(0,T;H 1 × L 2),即不需要在解中附加规则性。给出了采用低规则时间步进格式的全离散谱方法的严格误差估计。数值实验表明,对于半线性Klein-Gordon方程非光滑解的时间动力学近似,所提出的时间步进方法比以往提出的方法要精确得多。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A second-order low-regularity correction of Lie splitting for the semilinear Klein–Gordon equation
The numerical approximation of nonsmooth solutions of the semilinear Klein–Gordon equation in the d -dimensional space, with d = 1, 2, 3, is studied based on the discovery of a new cancellation structure in the equation. This cancellation structure allows us to construct a low-regularity correction of the Lie splitting method ( i.e. , exponential Euler method), which can significantly improve the accuracy of the numerical solutions under low-regularity conditions compared with other second-order methods. In particular, the proposed time-stepping method can have second-order convergence in the energy space under the regularity condition $ (u,{\mathrm{\partial }}_tu)\in {L}^{\mathrm{\infty }}(0,T;{H}^{1+\frac{d}{4}}\times {H}^{\frac{d}{4}})$ . In one dimension, the proposed method is shown to have almost $ \frac{4}{3}$ -order convergence in L ∞ (0, T; H 1 × L 2 ) for solutions in the same space, i.e. , no additional regularity in the solution is required. Rigorous error estimates are presented for a fully discrete spectral method with the proposed low-regularity time-stepping scheme. The numerical experiments show that the proposed time-stepping method is much more accurate than previously proposed methods for approximating the time dynamics of nonsmooth solutions of the semilinear Klein–Gordon equation.
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来源期刊
Esaim-Probability and Statistics
Esaim-Probability and Statistics STATISTICS & PROBABILITY-
CiteScore
1.00
自引率
0.00%
发文量
14
审稿时长
>12 weeks
期刊介绍: The journal publishes original research and survey papers in the area of Probability and Statistics. It covers theoretical and practical aspects, in any field of these domains. Of particular interest are methodological developments with application in other scientific areas, for example Biology and Genetics, Information Theory, Finance, Bioinformatics, Random structures and Random graphs, Econometrics, Physics. Long papers are very welcome. Indeed, we intend to develop the journal in the direction of applications and to open it to various fields where random mathematical modelling is important. In particular we will call (survey) papers in these areas, in order to make the random community aware of important problems of both theoretical and practical interest. We all know that many recent fascinating developments in Probability and Statistics are coming from "the outside" and we think that ESAIM: P&S should be a good entry point for such exchanges. Of course this does not mean that the journal will be only devoted to practical aspects.
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