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引用次数: 0
摘要
我们考虑了由 O. Chodosh 引入的一类离散算子,它作用于无穷序列并模仿伪微分算子的标准特性。通过使用一种新方法,我们将该类算子扩展到有限序列或周期序列,从而可以对通过有限差分近似获得的离散伪微分算子进行一般表示,并轻松转移到时间离散化中。特别是,我们可以定义阶次和正则性的概念,并恢复了在伪微分学中众所周知的基本性质,即两个离散算子的换元获得一个阶次的正则性。作为实际应用的例子,我们重新审视了分裂方法收敛的标准误差估计,在某些哈密顿情况下,误差估计中没有导数损失,特别是对于一般波和/或水波方程的离散化。此外,我们还举例说明了受正则表达式分析启发的预处理构造,以解决更一般情况下的类似问题。
Discrete Pseudo-differential Operators and Applications to Numerical Schemes
We consider a class of discrete operators introduced by O. Chodosh, acting on infinite sequences and mimicking standard properties of pseudo-differential operators. By using a new approach, we extend this class to finite or periodic sequences, allowing a general representation of discrete pseudo-differential operators obtained by finite differences approximations and easily transferred to time discretizations. In particular we can define the notion of order and regularity, and we recover the fundamental property, well known in pseudo-differential calculus, that the commutator of two discrete operators gains one order of regularity. As examples of practical applications, we revisit standard error estimates for the convergence of splitting methods, obtaining in some Hamiltonian cases no loss of derivative in the error estimates, in particular for discretizations of general waves and/or water-waves equations. Moreover, we give an example of preconditioner constructions inspired by normal form analysis to deal with the similar question for more general cases.