# scipy.special.lmbda#

scipy.special.lmbda(v, x)[source]#

Jahnke-Emden Lambda function, Lambdav(x).

This function is defined as [2],

$\Lambda_v(x) = \Gamma(v+1) \frac{J_v(x)}{(x/2)^v},$

where $$\Gamma$$ is the gamma function and $$J_v$$ is the Bessel function of the first kind.

Parameters:
vfloat

Order of the Lambda function

xfloat

Value at which to evaluate the function and derivatives

Returns:
vlndarray

Values of Lambda_vi(x), for vi=v-int(v), vi=1+v-int(v), …, vi=v.

dlndarray

Derivatives Lambda_vi’(x), for vi=v-int(v), vi=1+v-int(v), …, vi=v.

References

[1]

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

[2]

Jahnke, E. and Emde, F. “Tables of Functions with Formulae and Curves” (4th ed.), Dover, 1945