A new algorithm for computing the Geronimus transformation with large shifts
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Abstract
A monic Jacobi matrix is a tridiagonal matrix which contains the parameters of the three-term recurrence relation satisfied by the sequence of monic polynomials orthogonal with respect to a measure. The basic Geronimus transformation with shift α transforms the monic Jacobi matrix associated with a measure dμ into the monic Jacobi matrix associated with dμ/(x − α) + Cδ(x − α), for some constant C. In this paper we examine the algorithms available to compute this transformation and we propose a more accurate algorithm, estimate its forward errors, and prove that it is forward stable. In particular, we show that for C = 0 the problem is very ill-conditioned, and we present a new algorithm that uses extended precision.
Keywords
Geronimus transformation Accuracy Roundoff error analysis Orthogonal polynomials Three-term recurrence relationsMathematics Subject Classifications (2000)
15A21 15A23 05A05 05B25 Download
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