
doi: 10.1007/bf01389479
This paper is concerned with the condition numbers of Gram matrices that arise when computing least square polynomials in polygons of the complex plane. For a stability reason, instead of the power basis \(\{1,\lambda,\lambda^ 2,...,\lambda^ n\}\), polynomials are expressed on the basis of Chebyshev polynomials of the first kind. The author shows that if the polygon is inserted between two ellipses, then the condition number of the \((n+1)\times (n+1)\) Gram matrix is bounded from above by \(4mn(n+1)^ 2(\kappa_ n)^ 2\), where m is the number of edges of the polygon and \(\kappa_ n\geq 1\) is a known ratio such that \(\kappa_ n\) is close to one if the two ellipses are close to each other.
Iterative numerical methods for linear systems, 510.mathematics, General theory of numerical methods in complex analysis (potential theory, etc.), Algorithms for approximation of functions, least square polynomials, Numerical computation of matrix norms, conditioning, scaling, condition numbers, Gram matrices, Chebyshev polynomials, Article
Iterative numerical methods for linear systems, 510.mathematics, General theory of numerical methods in complex analysis (potential theory, etc.), Algorithms for approximation of functions, least square polynomials, Numerical computation of matrix norms, conditioning, scaling, condition numbers, Gram matrices, Chebyshev polynomials, Article
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