2008
DOI: 10.1090/conm/458/08937
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Two variable deformations of the Chebyshev measure

Abstract: We construct one and two parameter deformations of the two dimensional Chebyshev polynomials with simple recurrence coefficients, following the algorithm in [3]. Using inverse scattering techniques, we compute the corresponding orthogonality measures.

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Cited by 2 publications
(7 citation statements)
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“…give a complete set of orthogonal polynomials in the total degree ordering. It follows that the recurrence coefficients in the total degree ordering are as suggested in [5], i.e. A x,n and A y,n are the same as in the previous example.…”
Section: This Gives the Recurrence Coefficients [5]mentioning
confidence: 82%
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“…give a complete set of orthogonal polynomials in the total degree ordering. It follows that the recurrence coefficients in the total degree ordering are as suggested in [5], i.e. A x,n and A y,n are the same as in the previous example.…”
Section: This Gives the Recurrence Coefficients [5]mentioning
confidence: 82%
“…The polynomials and the recurrence coefficients in the lexicographical ordering are given in [5] using a Darboux transformation connecting the two examples.…”
Section: Examplementioning
confidence: 99%
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“…In this section we mention that in [G9] one finds a specific random walk introduced by Hoare and Rahman, see [HR] which we show leads to a bispectral situation in terms of polynomials of two variables. I also want to mention that in the multivariable case one finds a version of the Darboux process to obtain interesting deformations of the two dimensional Chebyshev measure, see [GI1].…”
Section: The Multivariable Casementioning
confidence: 99%