roots_chebys#
- scipy.special.roots_chebys(n, mu=False)[source]#
Gauss-Chebyshev (second kind) quadrature.
Compute the sample points and weights for Gauss-Chebyshev quadrature. The sample points are the roots of the nth degree Chebyshev polynomial of the second kind, \(S_n(x)\). These sample points and weights correctly integrate polynomials of degree \(2n - 1\) or less over the interval \([-2, 2]\) with weight function \(w(x) = \sqrt{1 - (x/2)^2}\). See 22.2.7 in [AS] for more details.
- Parameters:
- nint
quadrature order
- mubool, optional
If True, return the sum of the weights, optional.
- Returns:
- xndarray
Sample points
- wndarray
Weights
- mufloat
Sum of the weights
See also
References
[AS]Milton Abramowitz and Irene A. Stegun, eds. Handbook of Mathematical Functions with Formulas, Graphs, and Mathematical Tables. New York: Dover, 1972.
Examples
>>> from scipy.special import roots_chebys >>> roots, weights = roots_chebys(5) >>> roots array([-1.73205081e+00, -1.00000000e+00, 1.22464680e-16, 1.00000000e+00, 1.73205081e+00]) >>> weights array([0.26179939, 0.78539816, 1.04719755, 0.78539816, 0.26179939])
Verify that the values in roots are roots of the Chebyshev polynomial of first kind \(S_5(x)\).
>>> from scipy.special import eval_chebys >>> eval_chebys(5, roots) array([-1.33226763e-15, -1.77635684e-15, 3.67394040e-16, -8.88178420e-16, 1.33226763e-15])
The values of \(S_5(x)\) evaluated at the roots are indeed very close to zero.
Verify that the sum of the weights equals the integral from -2 to 2 of \(\sqrt{1-(x/2)^2}\) which evaluates to \(\pi\). There are two ways to obtain the sum of weights, both resulting in \(\pi\) within numerical precision.
>>> sum(weights) np.float64(3.141592653589793) >>> roots, weights, sum_of_weights = roots_chebys(5, mu=True) >>> sum_of_weights 3.141592653589793
Roots and weights obtained from the Chebyshev polynomial of the second kind \(S_n(x)\) are used in Gauss-Chebyshev quadrature where the integral from -2 to 2 of \(f(x)\sqrt{1-(x/2)^2}\) is evaluated. Roots and weights for order \(n\) are expected to yield the exact result for polynomials \(f(x)\) of a maximal order of \(2n-1\).
>>> f = lambda x: x**4 >>> weights @ f(roots) np.float64(6.283185307179585)
The exact result is \(2\pi\).
>>> from math import pi >>> 2*pi 6.283185307179586
In general, Gauss-Chebyshev quadrature will only yield an approximate value of the integral. Consider the integral from -2 to 2 of \(\cos(x)\sqrt{1-(x/2)^2}\).
>>> import numpy as np >>> weights @ np.cos(roots) np.float64(1.8118352216010754)
Check against the result of
scipy.integrate.quad.>>> from scipy.integrate import quad >>> result, abserror = quad(lambda x: np.cos(x) * np.sqrt(1-(x/2)**2), -2, 2) >>> result 1.8118344191919165
The latter result has an estimated absolute error of
>>> abserror 1.5300099409643053e-08