# scipy.special.shichi#

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

Hyperbolic sine and cosine integrals.

The hyperbolic sine integral is

$\int_0^x \frac{\sinh{t}}{t}dt$

and the hyperbolic cosine integral is

$\gamma + \log(x) + \int_0^x \frac{\cosh{t} - 1}{t} dt$

where $$\gamma$$ is Euler’s constant and $$\log$$ is the principal branch of the logarithm .

Parameters:
xarray_like

Real or complex points at which to compute the hyperbolic sine and cosine integrals.

outtuple of ndarray, optional

Optional output arrays for the function results

Returns:
siscalar or ndarray

Hyperbolic sine integral at x

ciscalar or ndarray

Hyperbolic cosine integral at x

sici

Sine and cosine integrals.

exp1

Exponential integral E1.

expi

Exponential integral Ei.

Notes

For real arguments with x < 0, chi is the real part of the hyperbolic cosine integral. For such points chi(x) and chi(x + 0j) differ by a factor of 1j*pi.

For real arguments the function is computed by calling Cephes’  shichi routine. For complex arguments the algorithm is based on Mpmath’s  shi and chi routines.

References



Milton Abramowitz and Irene A. Stegun, eds. Handbook of Mathematical Functions with Formulas, Graphs, and Mathematical Tables. New York: Dover, 1972. (See Section 5.2.)



Cephes Mathematical Functions Library, http://www.netlib.org/cephes/



Fredrik Johansson and others. “mpmath: a Python library for arbitrary-precision floating-point arithmetic” (Version 0.19) http://mpmath.org/

Examples

>>> import numpy as np
>>> import matplotlib.pyplot as plt
>>> from scipy.special import shichi, sici


shichi accepts real or complex input:

>>> shichi(0.5)
(0.5069967498196671, -0.05277684495649357)
>>> shichi(0.5 + 2.5j)
((0.11772029666668238+1.831091777729851j),
(0.29912435887648825+1.7395351121166562j))


The hyperbolic sine and cosine integrals Shi(z) and Chi(z) are related to the sine and cosine integrals Si(z) and Ci(z) by

• Shi(z) = -i*Si(i*z)

• Chi(z) = Ci(-i*z) + i*pi/2

>>> z = 0.25 + 5j
>>> shi, chi = shichi(z)
>>> shi, -1j*sici(1j*z)            # Should be the same.
((-0.04834719325101729+1.5469354086921228j),
(-0.04834719325101729+1.5469354086921228j))
>>> chi, sici(-1j*z) + 1j*np.pi/2  # Should be the same.
((-0.19568708973868087+1.556276312103824j),
(-0.19568708973868087+1.556276312103824j))


Plot the functions evaluated on the real axis:

>>> xp = np.geomspace(1e-8, 4.0, 250)
>>> x = np.concatenate((-xp[::-1], xp))
>>> shi, chi = shichi(x)

>>> fig, ax = plt.subplots()
>>> ax.plot(x, shi, label='Shi(x)')
>>> ax.plot(x, chi, '--', label='Chi(x)')
>>> ax.set_xlabel('x')
>>> ax.set_title('Hyperbolic Sine and Cosine Integrals')