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Stable Spectral Methods for Time-Dependent Problems and the Preservation of Structure

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Abstract

AbstractThis paper is concerned with orthonormal systems in real intervals, given with zero Dirichlet boundary conditions. More specifically, our interest is in systems with a skew-symmetric differentiation matrix (this excludes orthonormal polynomials). We consider a simple construction of such systems and pursue its ramifications. In general, given any $$\text {C}^1(a,b)$$

                C
                1
              
              
                (
                a
                ,
                b
                )
              
            
           weight function such that $$w(a)=w(b)=0$$
            
              w
              (
              a
              )
              =
              w
              (
              b
              )
              =
              0
            
          , we can generate an orthonormal system with a skew-symmetric differentiation matrix. Except for the case $$a=-\infty $$
            
              a
              =
              -
              ∞
            
          , $$b=+\infty $$
            
              b
              =
              +
              ∞
            
          , only few powers of that matrix are bounded and we establish a connection between properties of the weight function and boundedness. In particular, we examine in detail two weight functions: the Laguerre weight function $$x^\alpha \textrm{e}^{-x}$$
            
              
                x
                α
              
              
                e
                
                  -
                  x
                
              
            
           for $$x>0$$
            
              x
              >
              0
            
           and $$\alpha >0$$
            
              α
              >
              0
            
           and the ultraspherical weight function $$(1-x^2)^\alpha $$
            
              
                (
                1
                -
                
                  x
                  2
                
                )
              
              α
            
          , $$x\in (-1,1)$$
            
              x
              ∈
              (
              -
              1
              ,
              1
              )
            
          , $$\alpha >0$$
            
              α
              >
              0
            
          , and establish their properties. Both weights share a most welcome feature of separability, which allows for fast computation. The quality of approximation is highly sensitive to the choice of $$\alpha $$
            α
          , and we discuss how to choose optimally this parameter, depending on the number of zero boundary conditions.

Description

Journal Title

Foundations of Computational Mathematics

Conference Name

Journal ISSN

1615-3375
1615-3383

Volume Title

Publisher

Springer Science and Business Media LLC

Rights and licensing

Except where otherwised noted, this item's license is described as Attribution 4.0 International