This module implements the 12 Jacobi elliptic functions, along with their inverses and the Jacobi amplitude function.
Jacobi elliptic functions can be thought of as generalizations of both ordinary and hyperbolic trig functions. There are twelve Jacobian elliptic functions. Each of the twelve corresponds to an arrow drawn from one corner of a rectangle to another.
n ------------------- d
| |
| |
| |
s ------------------- c
Each of the corners of the rectangle are labeled, by convention, s,
c, d, and n. The rectangle is understood to be lying on the complex
plane, so that s is at the origin, c is on the real axis, and n is
on the imaginary axis. The twelve Jacobian elliptic functions are
then
, where p and q are one of the letters
s, c, d, n.
The Jacobian elliptic functions are then the unique doubly-periodic, meromorphic functions satisfying the following three properties:
; that is, the function
is
periodic in the direction pq, with the period being twice the distance
from p to q.
is periodic in the other two
directions as well, with a period such that the distance from p to one
of the other corners is a quarter period.
is expanded in terms of
at one of
the corners, the leading term in the expansion has a coefficient of 1.
In other words, the leading term of the expansion of
at the corner p is
; the leading term of the expansion at the corner
q is
, and the leading term of an expansion at the other two
corners is 1.We can write

where p, q, and r are any of the
letters s, c, d, n, with
the understanding that
.
Let

then the Jacobi elliptic function
is given by

and
is given by

and

To emphasize the dependence on
, one can write
for example (and similarly for
and
). This is the notation used below.
For a given
with
they therefore are
solutions to the following nonlinear ordinary differential
equations:
solves the differential equations

solves the differential equations

solves the differential equations

If
denotes the complete elliptic integral of the
first kind (named elliptic_kc in Sage), the elliptic functions
and
have real periods
, whereas
has a period
. The limit
gives
and trigonometric functions:
,
,
. The limit
gives
and hyperbolic functions:
,
,
.
REFERENCES:
| [KhaSuk04] | A. Khare and U. Sukhatme. “Cyclic Identities Involving Jacobi Elliptic Functions”. Arxiv math-ph/0201004 |
AUTHORS:
Bases: sage.symbolic.function.BuiltinFunction
Base class for the inverse Jacobi elliptic functions.
Bases: sage.symbolic.function.BuiltinFunction
Base class for the Jacobi elliptic functions.
Bases: sage.symbolic.function.BuiltinFunction
The Jacobi amplitude function
for
,
.
The inverses of the 12 Jacobi elliptic functions. They have the property that

INPUT:
, where
is the elliptic
modulusEXAMPLES:
sage: jacobi('dn', inverse_jacobi('dn', 3, 0.4), 0.4)
3.00000000000000
sage: inverse_jacobi('dn', 10, 1/10).n(digits=50)
2.4777736267904273296523691232988240759001423661683*I
sage: inverse_jacobi_dn(x, 1)
arcsech(x)
sage: inverse_jacobi_dn(1, 3)
0
sage: m = var('m')
sage: z = inverse_jacobi_dn(x, m).series(x, 4).subs(x=0.1, m=0.7)
sage: jacobi_dn(z, 0.7)
0.0999892750039819...
sage: inverse_jacobi_nd(x, 1)
arccosh(x)
sage: inverse_jacobi_nd(1, 2)
0
sage: inverse_jacobi_ns(10^-5, 3).n()
5.77350269202456e-6 + 1.17142008414677*I
sage: jacobi('sn', 1/2, 1/2)
jacobi_sn(1/2, 1/2)
sage: jacobi('sn', 1/2, 1/2).n()
0.470750473655657
sage: inverse_jacobi('sn', 0.47, 1/2)
0.499098231322220
sage: inverse_jacobi('sn', 0.4707504, 0.5)
0.499999911466555
sage: P = plot(inverse_jacobi('sn', x, 0.5), 0, 1)
Internal function for numerical evaluation of a continous complex branch of each inverse Jacobi function, as described in [Tee97]. Only accepts real arguments.
REFERENCES:
| [Tee97] | Tee, Garry J. “Continuous branches of inverses of the 12 Jacobi elliptic functions for real argument”. 1997. https://researchspace.auckland.ac.nz/bitstream/handle/2292/5042/390.pdf. |
TESTS:
sage: from mpmath import ellipfun, chop
sage: from sage.functions.jacobi import inverse_jacobi_f
sage: chop(ellipfun('sn', inverse_jacobi_f('sn', 0.6, 0), 0))
mpf('0.59999999999999998')
sage: chop(ellipfun('sn', inverse_jacobi_f('sn', 0.6, 1), 1))
mpf('0.59999999999999998')
sage: chop(ellipfun('sn', inverse_jacobi_f('sn', 0, -3), -3))
mpf('0.0')
sage: chop(ellipfun('sn', inverse_jacobi_f('sn', -1, 4), 4))
mpf('-1.0')
sage: chop(ellipfun('sn', inverse_jacobi_f('sn', 0.3, 4), 4))
mpf('0.29999999999999999')
sage: chop(ellipfun('sn', inverse_jacobi_f('sn', 0.8, 4), 4))
mpf('0.80000000000000004')
sage: chop(ellipfun('ns', inverse_jacobi_f('ns', 0.8, 0), 0))
mpf('0.80000000000000004')
sage: chop(ellipfun('ns', inverse_jacobi_f('ns', -0.7, 1), 1))
mpf('-0.69999999999999996')
sage: chop(ellipfun('ns', inverse_jacobi_f('ns', 0.01, 2), 2))
mpf('0.01')
sage: chop(ellipfun('ns', inverse_jacobi_f('ns', 0, 2), 2))
mpf('0.0')
sage: chop(ellipfun('ns', inverse_jacobi_f('ns', -10, 6), 6))
mpf('-10.0')
sage: chop(ellipfun('cn', inverse_jacobi_f('cn', -10, 0), 0))
mpf('-9.9999999999999982')
sage: chop(ellipfun('cn', inverse_jacobi_f('cn', 50, 1), 1))
mpf('50.000000000000071')
sage: chop(ellipfun('cn', inverse_jacobi_f('cn', 1, 5), 5))
mpf('1.0')
sage: chop(ellipfun('cn', inverse_jacobi_f('cn', 0.5, -5), -5))
mpf('0.5')
sage: chop(ellipfun('cn', inverse_jacobi_f('cn', -0.75, -15), -15))
mpf('-0.75000000000000022')
sage: chop(ellipfun('cn', inverse_jacobi_f('cn', 10, 0.8), 0.8))
mpf('9.9999999999999982')
sage: chop(ellipfun('cn', inverse_jacobi_f('cn', -2, 0.9), 0.9))
mpf('-2.0')
sage: chop(ellipfun('nc', inverse_jacobi_f('nc', -4, 0), 0))
mpf('-3.9999999999999987')
sage: chop(ellipfun('nc', inverse_jacobi_f('nc', 7, 1), 1))
mpf('7.0000000000000009')
sage: chop(ellipfun('nc', inverse_jacobi_f('nc', 7, 3), 3))
mpf('7.0')
sage: chop(ellipfun('nc', inverse_jacobi_f('nc', 0, 2), 2))
mpf('0.0')
sage: chop(ellipfun('nc', inverse_jacobi_f('nc', -18, -4), -4))
mpf('-17.999999999999925')
sage: chop(ellipfun('dn', inverse_jacobi_f('dn', -0.3, 1), 1))
mpf('-0.29999999999999999')
sage: chop(ellipfun('dn', inverse_jacobi_f('dn', 1, -1), -1))
mpf('1.0')
sage: chop(ellipfun('dn', inverse_jacobi_f('dn', 0.8, 0.5), 0.5))
mpf('0.80000000000000004')
sage: chop(ellipfun('dn', inverse_jacobi_f('dn', 5, -4), -4))
mpf('5.0')
sage: chop(ellipfun('dn', inverse_jacobi_f('dn', 0.4, 0.5), 0.5))
mpf('0.40000000000000002')
sage: chop(ellipfun('dn', inverse_jacobi_f('dn', -0.4, 0.5), 0.5))
mpf('-0.40000000000000002')
sage: chop(ellipfun('dn', inverse_jacobi_f('dn', -0.9, 0.5), 0.5))
mpf('-0.90000000000000002')
sage: chop(ellipfun('dn', inverse_jacobi_f('dn', -1.9, 0.2), 0.2))
mpf('-1.8999999999999999')
sage: chop(ellipfun('nd', inverse_jacobi_f('nd', -1.9, 1), 1))
mpf('-1.8999999999999999')
sage: chop(ellipfun('nd', inverse_jacobi_f('nd', 1, -1), -1))
mpf('1.0')
sage: chop(ellipfun('nd', inverse_jacobi_f('nd', 11, -6), -6))
mpf('11.0')
sage: chop(ellipfun('nd', inverse_jacobi_f('nd', 0, 8), 8))
mpf('0.0')
sage: chop(ellipfun('nd', inverse_jacobi_f('nd', -3, 0.8), 0.8))
mpf('-2.9999999999999996')
sage: chop(ellipfun('sc', inverse_jacobi_f('sc', -3, 0), 0))
mpf('-3.0')
sage: chop(ellipfun('sc', inverse_jacobi_f('sc', 2, 1), 1))
mpf('2.0')
sage: chop(ellipfun('sc', inverse_jacobi_f('sc', 0, 9), 9))
mpf('0.0')
sage: chop(ellipfun('sc', inverse_jacobi_f('sc', -7, 3), 3))
mpf('-7.0')
sage: chop(ellipfun('cs', inverse_jacobi_f('cs', -7, 0), 0))
mpf('-6.9999999999999991')
sage: chop(ellipfun('cs', inverse_jacobi_f('cs', 8, 1), 1))
mpf('8.0')
sage: chop(ellipfun('cs', inverse_jacobi_f('cs', 2, 6), 6))
mpf('2.0')
sage: chop(ellipfun('cs', inverse_jacobi_f('cs', 0, 4), 4))
mpf('0.0')
sage: chop(ellipfun('cs', inverse_jacobi_f('cs', -6, 8), 8))
mpf('-6.0000000000000018')
sage: chop(ellipfun('cd', inverse_jacobi_f('cd', -6, 0), 0))
mpf('-6.0000000000000009')
sage: chop(ellipfun('cd', inverse_jacobi_f('cd', 1, 3), 3))
mpf('1.0')
sage: chop(ellipfun('cd', inverse_jacobi_f('cd', 6, 8), 8))
mpf('6.0000000000000027')
sage: chop(ellipfun('dc', inverse_jacobi_f('dc', 5, 0), 0))
mpf('5.0000000000000018')
sage: chop(ellipfun('dc', inverse_jacobi_f('dc', -4, 2), 2))
mpf('-4.0000000000000018')
sage: chop(ellipfun('sd', inverse_jacobi_f('sd', -4, 0), 0))
mpf('-3.9999999999999991')
sage: chop(ellipfun('sd', inverse_jacobi_f('sd', 7, 1), 1))
mpf('7.0')
sage: chop(ellipfun('sd', inverse_jacobi_f('sd', 0, 9), 9))
mpf('0.0')
sage: chop(ellipfun('sd', inverse_jacobi_f('sd', 8, 0.8), 0.8))
mpf('7.9999999999999991')
sage: chop(ellipfun('ds', inverse_jacobi_f('ds', 4, 0.25), 0.25))
mpf('4.0')
The 12 Jacobi elliptic functions.
INPUT:
, where
is
the elliptic modulusEXAMPLES:
sage: jacobi('sn', 1, 1)
tanh(1)
sage: jacobi('cd', 1, 1/2)
jacobi_cd(1, 1/2)
sage: RDF(jacobi('cd', 1, 1/2))
0.724009721659
sage: (RDF(jacobi('cn', 1, 1/2)), RDF(jacobi('dn', 1, 1/2)),
....: RDF(jacobi('cn', 1, 1/2) / jacobi('dn', 1, 1/2)))
(0.595976567672, 0.823161001632, 0.724009721659)
sage: jsn = jacobi('sn', x, 1)
sage: P = plot(jsn, 0, 1)
Internal function for numeric evaluation of the Jacobi amplitude function for real arguments. Procedure described in [Ehrhardt13].
REFERENCES:
| [Ehrhardt13] | Ehrhardt, Wolfgang. “The AMath and DAMath Special Functions: Reference Manual and Implementation Notes, Version 1.3”. 2013. http://www.wolfgang-ehrhardt.de/specialfunctions.pdf. |
TESTS:
sage: from mpmath import ellipf
sage: from sage.functions.jacobi import jacobi_am_f
sage: ellipf(jacobi_am_f(0.5, 1), 1)
mpf('0.5')
sage: ellipf(jacobi_am(3, 0.3), 0.3)
mpf('3.0')
sage: ellipf(jacobi_am_f(2, -0.5), -0.5)
mpf('2.0')
sage: jacobi_am_f(2, -0.5)
mpf('2.2680930777934176')
sage: jacobi_am_f(-2, -0.5)
mpf('-2.2680930777934176')
sage: jacobi_am_f(-3, 2)
mpf('0.36067407399586108')