gives the characteristic value
for even Mathieu functions with characteristic exponent r and parameter q.
MathieuCharacteristicA
gives the characteristic value
for even Mathieu functions with characteristic exponent r and parameter q.
Details
- Mathematical function, suitable for both symbolic and numerical manipulation.
- The characteristic value
gives the value of the parameter
in
for which the solution has the form
, where
is an even function of
with period
. - For certain special arguments, MathieuCharacteristicA automatically evaluates to exact values.
- MathieuCharacteristicA can be evaluated to arbitrary numerical precision.
- MathieuCharacteristicA automatically threads over lists.
Examples
open all close allBasic Examples (3)
MathieuCharacteristicA[1, 0.5]Plot over a subset of the reals:
Plot[MathieuCharacteristicA[3, x], {x, -4, 4}]Plot over a subset of the complexes:
ComplexPlot3D[MathieuCharacteristicA[1 / 3, z], {z, -2 - 2I, 2 + 2I}, PlotLegends -> Automatic]Scope (20)
Numerical Evaluation (6)
MathieuCharacteristicA[-2Pi, 0.5]MathieuCharacteristicA[Pi, 0.]N[MathieuCharacteristicA[15 / 17, 5], 25]The precision of the output tracks the precision of the input:
MathieuCharacteristicA[0.21111111111111100111, 5]N[MathieuCharacteristicA[Pi / 5, 5 - I]]Evaluate efficiently at high precision:
MathieuCharacteristicA[1 / 2347, 5`100]//TimingMathieuCharacteristicA[152 / 71, 5`1000];//TimingCompute average-case statistical intervals using Around:
MathieuCharacteristicA[1, Around[1 / 2, 0.01]]Compute the elementwise values of an array:
MathieuCharacteristicA[.2, {{1 / 2, 0}, {0, 1 / 2}}]Or compute the matrix MathieuCharacteristicA function using MatrixFunction:
MatrixFunction[MathieuCharacteristicA[.2, #]&, {{1 / 2, 0}, {0, 1 / 2}}]Specific Values (2)
Simple exact values are generated automatically:
MathieuCharacteristicA[r, 0]Find the positive maximum of MathieuCharacteristicA[2,q ]:
qmax = q /. FindRoot[D[MathieuCharacteristicA[2, q ], q] == 0, {q, 4}]Plot[MathieuCharacteristicA[2, q ], {q, -1, 30}, Epilog -> Style[Point[{qmax, MathieuCharacteristicA[2, qmax ]}], PointSize[Large], Red]]Visualization (3)
Plot the MathieuCharacteristicA function for integer parameters:
Plot[{MathieuCharacteristicA[3, x], MathieuCharacteristicA[2, x], MathieuCharacteristicA[1, x]}, {x, -10, 10}]Plot the MathieuCharacteristicA function for noninteger parameters:
Plot[{MathieuCharacteristicA[1 / 7, x], MathieuCharacteristicA[1 / 3, x], MathieuCharacteristicA[1 / 2, x]}, {x, -1, 1}]Plot the real part of MathieuCharacteristicA:
ComplexContourPlot[Re[MathieuCharacteristicA[10, z]], {z, -4 - 4I, 4 + 4I}, IconizedObject[«PlotOptions»]]Plot the imaginary part of MathieuCharacteristicA:
ComplexContourPlot[Im[MathieuCharacteristicA[10, z]], {z, -4 - 4I, 4 + 4I}, IconizedObject[«PlotOptions»]]Function Properties (7)
The real domain of MathieuCharacteristicA:
FunctionDomain[MathieuCharacteristicA[r, x], x]Approximate function range of
:
FunctionRange[MathieuCharacteristicA[1, x], x, y]//QuietFunctionContinuous[MathieuCharacteristicA[r, x], x, Assumptions -> r∈Reals]
is neither non-increasing nor non-decreasing:
FunctionMonotonicity[MathieuCharacteristicA[1, x], x]FunctionInjective[MathieuCharacteristicA[1, x], x]Plot[{MathieuCharacteristicA[1, x], 1}, {x, -3, 7}]MathieuCharacteristicA threads elementwise over lists:
MathieuCharacteristicA[{1, 2, 3, 4, 5}, 0.33]TraditionalForm formatting:
TraditionalForm[MathieuCharacteristicA[r, x]]Series Expansions (2)
Find the Taylor expansion using Series:
Series[MathieuCharacteristicA[1, q], {q, 0, 3}]Plots of the first three approximations around
:
terms = Normal@Table[Series[MathieuCharacteristicA[1, q], {q, 0, m}], {m, 1, 5, 2}];
Plot[{MathieuCharacteristicA[1, q], terms}//Evaluate, {q, -7, 7}, PlotRange -> {-7, 7}]Find the series expansion at infinity:
Series[MathieuCharacteristicA[4 / 3, q], {q, ∞, 3}]Applications (4)
Symmetric periodic solutions of the Mathieu differential equation:
Plot[Evaluate[Table[MathieuC[MathieuCharacteristicA[r, 2], 2, x], {r, 3}]], {x, -6, 6}]This shows the stability diagram for the Mathieu equation:
Plot[Evaluate[Flatten[Table[{MathieuCharacteristicA[r, q],
MathieuCharacteristicB[r + 1, q]}, {r, 0, 4}]]], {q, 0, 20}, Filling -> Table[i -> {i + 1}, {i, 1, 10, 2}]]As a function of the first argument, MathieuCharacteristicA is a piecewise continuous function (called bands and band gaps in solid state physics):
Plot[MathieuCharacteristicA[r, 1], {r, -2.5, 2.5}]Solve the Laplace equation in an ellipse using separation of variables:
ellipseψ[n_, z0_][r_, f_] := With[{ch = MathieuCharacteristicA[n, z0]}, MathieuC[ch, z0, I r]MathieuC[ch, z0, f]]FindRoot[MathieuC[MathieuCharacteristicA[5, q], q, I / 2], {q, 20}, WorkingPrecision -> 25]This plots an eigenfunction. It vanishes at the ellipse boundary:
ParametricPlot3D[{Cosh[r] Cos[f], Sinh[r] Sin[f], ellipseψ[5, q /. %][r, f]}, {r, 0, 1 / 2}, {f, 0, 2Pi}, Mesh -> False]Properties & Relations (1)
MathieuCharacteristicA is a special case of SpheroidalEigenvalue:
SpheroidalEigenvalue[n, 1 / 2, c]See Also
MathieuCharacteristicB SpheroidalEigenvalue MathieuC MathieuCPrime MathieuCharacteristicExponent
Function Repository: MathieuEllipticCos
Tech Notes
Related Guides
Related Links
History
Introduced in 1996 (3.0)
Text
Wolfram Research (1996), MathieuCharacteristicA, Wolfram Language function, https://reference.wolfram.com/language/ref/MathieuCharacteristicA.html.
CMS
Wolfram Language. 1996. "MathieuCharacteristicA." Wolfram Language & System Documentation Center. Wolfram Research. https://reference.wolfram.com/language/ref/MathieuCharacteristicA.html.
APA
Wolfram Language. (1996). MathieuCharacteristicA. Wolfram Language & System Documentation Center. Retrieved from https://reference.wolfram.com/language/ref/MathieuCharacteristicA.html
BibTeX
@misc{reference.wolfram_2026_mathieucharacteristica, author="Wolfram Research", title="{MathieuCharacteristicA}", year="1996", howpublished="\url{https://reference.wolfram.com/language/ref/MathieuCharacteristicA.html}", note=[Accessed: 12-June-2026]}
BibLaTeX
@online{reference.wolfram_2026_mathieucharacteristica, organization={Wolfram Research}, title={MathieuCharacteristicA}, year={1996}, url={https://reference.wolfram.com/language/ref/MathieuCharacteristicA.html}, note=[Accessed: 12-June-2026]}