SciPy

scipy.special.riccati_jn

scipy.special.riccati_jn(n, x)[source]

Compute Ricatti-Bessel function of the first kind and its derivative.

The Ricatti-Bessel function of the first kind is defined as \(x j_n(x)\), where \(j_n\) is the spherical Bessel function of the first kind of order \(n\).

This function computes the value and first derivative of the Ricatti-Bessel function for all orders up to and including n.

Parameters:

n : int

Maximum order of function to compute

x : float

Argument at which to evaluate

Returns:

jn : ndarray

Value of j0(x), ..., jn(x)

jnp : ndarray

First derivative j0’(x), ..., jn’(x)

Notes

The computation is carried out via backward recurrence, using the relation DLMF 10.51.1 [R445].

Wrapper for a Fortran routine created by Shanjie Zhang and Jianming Jin [R444].

References

[R444](1, 2) Zhang, Shanjie and Jin, Jianming. “Computation of Special Functions”, John Wiley and Sons, 1996. http://jin.ece.illinois.edu/specfunc.html
[R445](1, 2) NIST Digital Library of Mathematical Functions. http://dlmf.nist.gov/10.51.E1