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首页> 外文期刊>IMA Journal of Numerical Analysis >A Riemann-Hilbert approach to Jacobi operators and Gaussian quadrature
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A Riemann-Hilbert approach to Jacobi operators and Gaussian quadrature

机译:雅各比算子和高斯积分的黎曼-希尔伯特方法

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摘要

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.
机译:与R上的正交多项式相关的Jacobi运算符的条目的计算在数值分析中具有重要的应用。从截断算子到形成Jacobi矩阵,可以应用Golub-Welsch算法(1969年,高斯正交规则的计算。数学计算,23,221)来计算高斯正交权重和节点。此外,Jacobi运算符的项是多项式的三项递归关系中的系数。这提供了一种评估正交多项式的有效方法。在这里,我们提出一种O(N)方法,以根据关联的权重计算Jacobi运算符的前N行。该方法通过数值求解变形的Riemann-Hilbert问题来利用多项式的Riemann-Hilbert表示。我们进一步将这种计算方法调整为某些超出当前渐近Riemann-Hilbert技术无法达到的整体权重。

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