# JacobiSN

JacobiSN[u,m]

gives the Jacobi elliptic function .

# Details

• Mathematical function, suitable for both symbolic and numerical manipulation.
• , where and is the amplitude.
• is a doubly periodic function in with periods and , where is the elliptic integral EllipticK.
• JacobiSN is a meromorphic function in both arguments.
• For certain special arguments, JacobiSN automatically evaluates to exact values.
• JacobiSN can be evaluated to arbitrary numerical precision.
• JacobiSN automatically threads over lists.

# Examples

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## Basic Examples(3)

Evaluate numerically:

## Scope(34)

### Numerical Evaluation(5)

Evaluate to high precision:

The precision of the output tracks the precision of the input:

Evaluate for complex arguments:

Evaluate JacobiSN efficiently at high precision:

Compute average case statistical intervals using Around:

Compute the elementwise values of an array:

Or compute the matrix JacobiSN function using MatrixFunction:

### Specific Values(3)

Simple exact values are generated automatically:

Some poles of JacobiSN:

Find a zero of :

### Visualization(3)

Plot the JacobiSN functions for various values of parameter:

Plot JacobiSN as a function of its parameter :

Plot the real part of :

Plot the imaginary part of :

### Function Properties(8)

JacobiSN is -periodic along the real axis:

JacobiSN is -periodic along the imaginary axis:

JacobiSN is an odd function in its first argument:

JacobiSN is an analytic function:

It has no singularities or discontinuities:

is neither nondecreasing nor nonincreasing:

is not injective for any fixed :

It is injective for :

is not surjective for any fixed :

JacobiSN is neither non-negative nor non-positive:

JacobiSN is neither convex nor concave:

### Differentiation(3)

First derivative:

Higher derivatives:

Plot higher derivatives for :

Derivative with respect to :

### Integration(3)

Indefinite integral of JacobiSN:

Definite integral of an odd integrand over the interval centered at the origin is :

More integrals:

### Series Expansions(3)

Taylor expansion for :

Plot the first three approximations for around :

Taylor expansion for :

Plot the first three approximations for around :

JacobiSN can be applied to power series:

### Function Identities and Simplifications(3)

Parity transformation and periodicity relations are automatically applied:

Automatic argument simplifications:

Identity involving JacobiCN:

### Function Representations(3)

Representation in terms of Sin of JacobiAmplitude:

Relation to other Jacobi elliptic functions:

## Applications(11)

Map a rectangle conformally onto the upper half-plane:

Conformally map a square image onto a disk:

Solution of the pendulum equation:

Check the solution:

Plot solutions:

Cnoidal solution of the KortewegDe Vries equation:

A numerical check of the solution:

Plot the solution:

Closed form of iterates of the KatsuraFukuda map:

Compare the closed form with explicit iterations:

Plot a few hundred iterates:

Implicitly defined periodic maximal surface in Minkowski space:

Calculate partial derivatives:

Check numerically the equation for a maximal surface:

Plot the maximal surface in Euclidean space:

Solution of the Euler top equations for :

Check the solutions numerically:

Plot the solutions:

Define a compacton solution of the nonlinear differential equation :

Verify the solution:

Plot the compacton:

The JacobiSN function appears in one of the canonical forms of the Lamé differential equation:

One of the fundamental solutions of this equation is the LameC function:

Solve the Painlevé-VIII differential equation:

Parametrization of a Mylar balloon (two flat sheets of plastic sewn together at their circumference and then inflated):

## Properties & Relations(4)

Compose with inverse functions:

Use PowerExpand to disregard multivaluedness of the inverse function:

Evaluate as a result of applying Sin to JacobiAmplitude:

Solve a transcendental equation:

Numerically find a root of a transcendental equation:

## Possible Issues(2)

Machine-precision input may be insufficient to give the correct answer:

Currently only simple simplification rules are built in for Jacobi functions:

## Neat Examples(1)

Visualize JacobiSN as a function of the parameter in the complex plane:

Wolfram Research (1988), JacobiSN, Wolfram Language function, https://reference.wolfram.com/language/ref/JacobiSN.html.

#### Text

Wolfram Research (1988), JacobiSN, Wolfram Language function, https://reference.wolfram.com/language/ref/JacobiSN.html.

#### CMS

Wolfram Language. 1988. "JacobiSN." Wolfram Language & System Documentation Center. Wolfram Research. https://reference.wolfram.com/language/ref/JacobiSN.html.

#### APA

Wolfram Language. (1988). JacobiSN. Wolfram Language & System Documentation Center. Retrieved from https://reference.wolfram.com/language/ref/JacobiSN.html

#### BibTeX

@misc{reference.wolfram_2024_jacobisn, author="Wolfram Research", title="{JacobiSN}", year="1988", howpublished="\url{https://reference.wolfram.com/language/ref/JacobiSN.html}", note=[Accessed: 09-August-2024 ]}

#### BibLaTeX

@online{reference.wolfram_2024_jacobisn, organization={Wolfram Research}, title={JacobiSN}, year={1988}, url={https://reference.wolfram.com/language/ref/JacobiSN.html}, note=[Accessed: 09-August-2024 ]}