gives the derivative with respect to z of the even Mathieu function with characteristic value a and parameter q.


  • Mathematical function, suitable for both symbolic and numerical manipulation.
  • For certain special arguments, MathieuCPrime automatically evaluates to exact values.
  • MathieuCPrime can be evaluated to arbitrary numerical precision.
  • MathieuCPrime automatically threads over lists.


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Basic Examples  (4)

Evaluate numerically:

Plot over a subset of the reals:

Plot over a subset of the complexes:

Series expansion about the origin:

Scope  (14)

Numerical Evaluation  (4)

Evaluate numerically to high precision:

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

Evaluate for complex arguments and parameters:

Evaluate MathieuCPrime efficiently at high precision:

MathieuCPrime threads elementwise over lists:

Specific Values  (3)

Simple exact values are generated automatically:

Find a zero of MathieuCPrime:

MathieuCPrime is an odd function:

Visualization  (2)

Plot the MathieuCPrime function:

Plot the real part of MathieuCPrime for and :

Plot the imaginary part of MathieuCPrime for and :

Differentiation  (3)

First derivative:

Higher derivatives:

Plot higher derivatives for and :

Plot higher derivatives for and :

MathieuCPrime is the derivative of MathieuC:

Series Expansions  (2)

Taylor expansion:

Plot the first three approximations for MathieuCPrime around :

Taylor expansion of MathieuCPrime at a generic point:

Applications  (1)

Mathieu functions arise as solutions of the Laplace equation in an ellipse:

This defines the square of the gradient (the local kinetic energy of a vibrating membrane):

This finds a zero:

This plots the absolute value of the gradient of an eigenfunction:

Neat Examples  (1)

Phase space plots of the Mathieu function:

Introduced in 1996