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Article . 2015
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Numerical Algorithms
Article . 2015 . Peer-reviewed
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Article . 2014
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Computing recurrence coefficients of multiple orthogonal polynomials

Authors: Filipuk, Galina; Haneczok, Maciej; Van Assche, Walter;

Computing recurrence coefficients of multiple orthogonal polynomials

Abstract

Multiple orthogonal polynomials satisfy a number of recurrence relations, in particular there is a $(r+2)$-term recurrence relation connecting the type II multiple orthogonal polynomials near the diagonal (the so-called step-line recurrence relation) and there is a system of $r$ recurrence relations connecting the nearest neighbors (the so-called nearest neighbor recurrence relations). In this paper we deal with two problems. First we show how one can obtain the nearest neighbor recurrence coefficients (and in particular the recurrence coefficients of the orthogonal polynomials for each of the defining measures) from the step-line recurrence coefficients. Secondly we show how one can compute the step-line recurrence coefficients from the recurrence coefficients of the orthogonal polynomials of each of the measures defining the multiple orthogonality.

22 pages, 2 figures in Numerical Algorithms (2015)

Keywords

recurrence relations, Science & Technology, 0103 Numerical and Computational Mathematics, Recurrence relations, Multiple orthogonal polynomials, Mathematics, Applied, Numerical & Computational Mathematics, math.CA, 39A14, 42C05, 65Q30, Recurrence coefficients, Mathematics - Classical Analysis and ODEs, 0102 Applied Mathematics, Physical Sciences, 4903 Numerical and computational mathematics, Classical Analysis and ODEs (math.CA), FOS: Mathematics, 4901 Applied mathematics, Mathematics, 0802 Computation Theory and Mathematics

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
13
Top 10%
Top 10%
Top 10%
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bronze
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