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Convergence analysis of general spectral methods
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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">View the MathML source 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">View the MathML source 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">View the MathML source of 8df201bddfc8a8378e1a65e9aedbe" title="Click to view the MathML source">b then carry over to convergence rates of finite approximations View the MathML source of a. Spectral convergence is a special case. Some examples are added for illustration.

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