# scipy.special.eval_chebyc#

scipy.special.eval_chebyc(n, x, out=None) = <ufunc 'eval_chebyc'>#

Evaluate Chebyshev polynomial of the first kind on [-2, 2] at a point.

These polynomials are defined as

$C_n(x) = 2 T_n(x/2)$

where $$T_n$$ is a Chebyshev polynomial of the first kind. See 22.5.11 in [AS] for details.

Parameters:
narray_like

Degree of the polynomial. If not an integer, the result is determined via the relation to eval_chebyt.

xarray_like

Points at which to evaluate the Chebyshev polynomial

outndarray, optional

Optional output array for the function values

Returns:
Cscalar or ndarray

Values of the Chebyshev polynomial

roots_chebyc

roots and quadrature weights of Chebyshev polynomials of the first kind on [-2, 2]

chebyc

Chebyshev polynomial object

numpy.polynomial.chebyshev.Chebyshev

Chebyshev series

eval_chebyt

evaluate Chebycshev polynomials of the first kind

References

[AS]

Milton Abramowitz and Irene A. Stegun, eds. Handbook of Mathematical Functions with Formulas, Graphs, and Mathematical Tables. New York: Dover, 1972.

Examples

>>> import numpy as np
>>> import scipy.special as sc


They are a scaled version of the Chebyshev polynomials of the first kind.

>>> x = np.linspace(-2, 2, 6)
>>> sc.eval_chebyc(3, x)
array([-2.   ,  1.872,  1.136, -1.136, -1.872,  2.   ])
>>> 2 * sc.eval_chebyt(3, x / 2)
array([-2.   ,  1.872,  1.136, -1.136, -1.872,  2.   ])