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Modified Moments and Matrix Orthogonal Polynomials

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Abstract

In the scalar case, computation of recurrence coefficients of polynomials orthogonal with respect to a nonnegative measure is done via the modified Chebyshev algorithm. Using the concept of matrix biorthogonality, we extend this algorithm to the vector case.

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References

  1. Aptekarev, A. I.:Multiple orthogonal polynomials, J. Comput. Appl.Math. 99(1998), 423–447.

    Google Scholar 

  2. Beckermann, B. and Bourreau, E.: How to choose modified moments, J. Comput. Appl. Math. 98(1998), 81–98.

    Google Scholar 

  3. Beckerman, B. and Kaliaguine, V.: On the approximation of the resolvent of higher order difference operators, Manuscript.

  4. Brezinski, C.: Biorthogonality and its Applications to Numerical Analysis, Monogr. Textbooks in Pure Appl. Math., Marcel Dekker, New York.

  5. Da Rocha, Z.: Shohat-Favard and Chebyshev's methods in d-orthogonality, Numer. Algorithms 20 (1999), 139–164.

    Google Scholar 

  6. Fischer, H.-J.: On the condition of orthogonal polynomials via modified moments,Z. Anal. Anwendungen 15(1) (1996), 1–18.

    Google Scholar 

  7. Gautschi, W.: On generating orthogonal polynomials, SIAM J. Sci. Statist. Comput. 22 (1968), 251–270.

    Google Scholar 

  8. Kaliaguine, V. and Ronveaux, A.: On a system of 'classical' polynomials of simultaneous orthogonality, J. Comput. Appl. Math. 67 (1996), 207–217.

    Google Scholar 

  9. Nikishin, E. M. and Sorokin, V. N.: Rational Approximations and Orthogonality, Transl. Math. Monogr. 92, Amer. Math. Soc., Providence, RI, 1991.

    Google Scholar 

  10. Pineiro, L. R.: On simultaneous approximations for a collection of Markov functions, Vestnik Mosk. Univ., Ser. I(1987), No. 2, 67–70 (in Russian); Moscow Univ. Math. Bull. 42(2) (1987), 52–55.

    Google Scholar 

  11. Sack, R. A. and Donovan, A. F.: An algorithm for Gaussian quadrature given modified moments, Numer. Math. 18 (1971/72), 465–478.

    Google Scholar 

  12. Sinap, A.: Gaussian quadrature for matrix valued functions on the real line, J. Comput. Appl. Math. 65 (1995), 369–385.

    Google Scholar 

  13. Sinap, A. and Van Assche, W.: Orthogonal matrix polynomials and applications, J. Comput. Appl. Math. 66 (1996), 27–52.

    Google Scholar 

  14. Sorokin, V. N. and Van Iseghem, J.: Algebraic aspects of matrix orthogonality for vector polynomials, J. Approx. Theory 90 (1997), 97–116.

    Google Scholar 

  15. Sorokin, V. N. and Van Iseghem, J.: Matrix continued fractions, J. Approx. Theory 96 (1999), 237–257.

    Google Scholar 

  16. Szegö, G.: Orthogonal Polynomials, Amer. Math. Soc., Providence, 1975.

    Google Scholar 

  17. Van Assche, W.: Nonsymmetric linear difference equations for multiple orthogonal polynomials, Proc. SIDEIII, Sabaudia, Italy, 1998.

    Google Scholar 

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Bourreau, E. Modified Moments and Matrix Orthogonal Polynomials. Acta Applicandae Mathematicae 61, 53–64 (2000). https://doi.org/10.1023/A:1006419830281

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