scipy.special.yvp

scipy.special.yvp(v, z, n=1)

Compute derivatives of Bessel functions of the second kind.

Compute the nth derivative of the Bessel function Yv with respect to z.

Parameters:

varray_like of float

Order of Bessel function

zcomplex

Argument at which to evaluate the derivative

nint, default 1

Order of derivative. For 0 returns the BEssel function yv

Returns:

scalar or ndarray

nth derivative of the Bessel function.

See also

yv

Notes

The derivative is computed using the relation DLFM 10.6.7 [2].

References

[1]

Zhang, Shanjie and Jin, Jianming. “Computation of Special Functions”, John Wiley and Sons, 1996, chapter 5. https://people.sc.fsu.edu/~jburkardt/f77_src/special_functions/special_functions.html

[2]

NIST Digital Library of Mathematical Functions. https://dlmf.nist.gov/10.6.E7

Examples

Compute the Bessel function of the second kind of order 0 and its first two derivatives at 1.

>>> from scipy.special import yvp
>>> yvp(0, 1, 0), yvp(0, 1, 1), yvp(0, 1, 2)
(0.088256964215677, 0.7812128213002889, -0.8694697855159659)

Compute the first derivative of the Bessel function of the second kind for several orders at 1 by providing an array for v.

>>> yvp([0, 1, 2], 1, 1)
array([0.78121282, 0.86946979, 2.52015239])

Compute the first derivative of the Bessel function of the second kind of order 0 at several points by providing an array for z.

>>> import numpy as np
>>> points = np.array([0.5, 1.5, 3.])
>>> yvp(0, points, 1)
array([ 1.47147239,  0.41230863, -0.32467442])

Plot the Bessel function of the second kind of order 1 and its first three derivatives.

>>> import matplotlib.pyplot as plt
>>> x = np.linspace(0, 5, 1000)
>>> x[0] += 1e-15
>>> fig, ax = plt.subplots()
>>> ax.plot(x, yvp(1, x, 0), label=r"$Y_1$")
>>> ax.plot(x, yvp(1, x, 1), label=r"$Y_1'$")
>>> ax.plot(x, yvp(1, x, 2), label=r"$Y_1''$")
>>> ax.plot(x, yvp(1, x, 3), label=r"$Y_1'''$")
>>> ax.set_ylim(-10, 10)
>>> plt.legend()
>>> plt.show()