Bases for polynomial-based spaces

Document Type : Research Article

Authors

1 Faculty of Mathematical Sciences and Computer, Kharazmi University, Tehran, Iran

2 School of Mathematics, Iran University of Science and Technology, Narmak, Tehran, Iran

Abstract

Since it is well-known that the Vandermonde matrix is ill-conditioned, this paper surveys the choices of other bases. These bases are data-dependent and are categorized into discretely $\ell^2$-orthonormal  and continuously $L^2$-orthonormal bases. The first one is defined via a decomposition of the Vandermonde matrix while the latter is given by a decomposition of the Gramian matrix corresponding to monomial bases. A discussion of various matrix decomposition (e.g. Cholesky, QR and SVD) provides a variety of different bases with different properties. Special attention is given to duality. Numerical results show that the matrices of values of the new bases have smaller condition numbers than the common monomial bases. It can also be pointed out that the new introduced bases are good candidates for interpolation.

Keywords

Journal of Mathematical Modeling
Volume 7, Issue 1
March 2019
Pages 21-34

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