Abstract
In polynomial interpolation, the choice of the polynomial basis and the location of the interpolation points play an important role numerically, even more so in the multivariate case. We explore the concept of spherical orthogonality for multivariate polynomials in more detail on the disk. We focus on two items: on the one hand the construction of a fully orthogonal cartesian basis for the space of multivariate polynomials starting from this sequence of spherical orthogonal polynomials, and on the other hand the connection between these orthogonal polynomials and the Lebesgue constant in multivariate polynomial interpolation on the disk. We point out the many links of the two topics under discussion with the existing literature. The new results are illustrated with an example of polynomial interpolation and approximation on the unit disk. The numerical example is also compared with the popular radial basis function interpolation.
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Benouahmane, B., Cuyt, A.: Multivariate orthogonal polynomials, homogeneous Padé approximants and Gaussian cubature. Numer. Algorithms 24, 1–15 (2000). doi:10.1023/A:1019128823463
Benouahmane, B., Cuyt, A.: Properties of multivariate homogeneous orthogonal polynomials. J. Approx. Theory 113(1), 1–20 (2001). doi:10.1006/jath.2000.3565
Bloom, T., Bos, L.P., Calvi, J.P., Levenberg, N.: Polynomial interpolation and approximation in ℂd (2011). http://arxiv.org/abs/1111.6418
Bojanov, B., Xu, Y.: On polynomial interpolation of two variables. J. Approx. Theory 120(3), 267–282 (2003). doi:10.1016/S0021-9045(02)00023-0
Bos, L., De Marchi, S., Caliari, M., Vianello, M., Xu, Y.: Bivariate Lagrange interpolation at the padua points: the generating curve approach. J. Approx. Theory 143(1), 15–25 (2006). doi:10.1016/j.jat.2006.03.008
Bos, L., De Marchi, S., Caliari, M., Vianello, M.: On the Lebesgue constant for the Xu interpolation formula. J. Approx. Theory 141(2), 134–141 (2006). doi:10.1016/j.jat.2006.01.005
Caliari, M., De Marchi, S., Vianello, M.: Bivariate polynomial interpolation on the square at new nodal sets. Appl. Math. Comput. 165, 261–274 (2005). doi:10.1016/j.amc.2004.07.001
Cuyt, A., Benouahmane, B., Hamsapriye, Yaman, I.: Symbolic-numeric Gaussian cubature rules. Appl. Numer. Math. 61(8), 929–945 (2011). doi:10.1016/j.apnum.2011.03.003
Gautschi, W.: On inverses of vandermonde and confluent vandermonde matrices. Numer. Math. 4(1), 117–123 (1962). doi:10.1007/BF01386302
Heinrichs, W.: Improved Lebesgue constants on the triangle. J. Comput. Phys. 207(2), 625–638 (2005). doi:10.1016/j.jcp.2005.02.002
Hesthaven, J.S.: From electrostatics to almost optimal nodal sets for polynomial interpolation in a simplex. SIAM J. Numer. Anal. 35(2), 655–676 (1998). doi:10.1137/S003614299630587X
Humberto, R.: On the selection of the most adequate radial basis function. Appl. Numer. Math. 33(3), 1573–1583 (2009). doi:10.1016/j.apm.2008.02.008
Sauer, T., Xu, Y.: Regular points for lagrange interpolation on the unit disk. Numer. Algorithms 12(2), 287–296 (1996). doi:10.1007/BF02142808
Sündermann, B.: On projection constants of polynomial space on the unit ball in several variables. Math. Z. 188(1), 111–117 (1984). doi:10.1007/BF0116387
Szabados, J., Vértesi, P.: Interpolation of Functions. World Scientific, Teaneck (1990)
Xu, Y.: Funk–Hecke formulae for orthogonal polynomials on sphere and on balls. Bull. Lond. Math. Soc. 32(4), 447–457 (2000). doi:10.1112/S0024609300007001
Xu, Y.: Polynomial interpolation on the unit sphere and on the unit ball. Adv. Comput. Math. 20(1–3), 247–260 (2004). doi:10.1023/A:1025851005416
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Cuyt, A., Yaman, I., Ibrahimoglu, B.A. et al. Radial orthogonality and Lebesgue constants on the disk. Numer Algor 61, 291–313 (2012). https://doi.org/10.1007/s11075-012-9615-5
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DOI: https://doi.org/10.1007/s11075-012-9615-5