A Riemann-Hilbert approach to Jacobi operators and Gaussian quadrature

作者：Trogdon Thomas^*; Olver Sheehan

来源：IMA Journal of Numerical Analysis, 2016, 36(1): 174-196.

DOI：10.1093/imanum/dru061

• Gaussian quadrature
• Riemann-Hilbert problems
• Jacobi operator
• inverse spectral problem

The computation of the entries of Jacobi operators associated with orthogonal polynomials on R has important applications in numerical analysis. From truncating the operator to form a Jacobi matrix, one can apply the Golub-Welsch algorithm (1969, Calculation of Gauss quadrature rules. Math. Comput., 23, 221) to compute the Gaussian quadrature weights and nodes. Furthermore, the entries of the Jacobi operator are the coefficients in the three-term recurrence relationship for the polynomials. This provides an efficient method for evaluating the orthogonal polynomials. Here, we present an O(N) method to compute the first N rows of Jacobi operators from the associated weight. The method exploits the Riemann-Hilbert representation of the polynomials by solving a deformed Riemann-Hilbert problem numerically. We further adapt this computational approach to certain entire weights that are beyond the reach of current asymptotic Riemann-Hilbert techniques.

• 出版日期2016-1