刊名:Journal of Computational and Applied Mathematics
出版年:2017
出版时间:15 March 2017
年:2017
卷:313
期:Complete
页码:284-293
全文大小:402 K
文摘
If a spectral numerical method for solving ordinary or partial differential equations is written as a biinfinite linear system e53100ae" title="Click to view the MathML source">b=Za with a map e7ea"> that has a continuous inverse, this paper shows that one can discretize the biinfinite system in such a way that the resulting finite linear system 9a7ccb4556d5c9b5a401bd74ec445912"> is uniquely solvable and is unconditionally stable, i.e. the stability can be made to depend on aece1ac2a5bb705e6b217f6" title="Click to view the MathML source">Z only, not on the discretization. Convergence rates of finite approximations 9a06737830ec0710a"> of 8df201bddfc8a8378e1a65e9aedbe" title="Click to view the MathML source">b then carry over to convergence rates of finite approximations of a. Spectral convergence is a special case. Some examples are added for illustration.