gives the Jacobi polynomial .


  • Mathematical function, suitable for both symbolic and numerical manipulation.
  • Explicit polynomials are given when possible.
  • satisfies the differential equation .
  • The Jacobi polynomials are orthogonal with weight function .
  • For certain special arguments, JacobiP automatically evaluates to exact values.
  • JacobiP can be evaluated to arbitrary numerical precision.
  • JacobiP automatically threads over lists.
  • JacobiP[n,a,b,z] has a branch cut discontinuity in the complex z plane running from to .


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Basic Examples  (7)

Evaluate numerically:

Compute the 2^(nd) Jacobi polynomial:

Plot over a subset of the reals:

Plot over a subset of the complexes:

Series expansion at the origin:

Asymptotic expansion at Infinity:

Asymptotic expansion at a singular point:

Scope  (31)

Numerical Evaluation  (4)

Evaluate numerically:

Evaluate to high precision:

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

Complex number input:

Evaluate efficiently at high precision:

Specific Values  (6)

Values of JacobiP at fixed points:

Values at zero:

Find the first positive minimum of JacobiP[10,2,3,x]:

Compute the associated JacobiP polynomial:

Compute the associated JacobiP polynomial for half-integer arguments:

Different JacobiP types give different symbolic forms:

Visualization  (4)

Plot the JacobiP function for various orders:

Plot the real part of :

Plot the imaginary part of :

Plot as real parts of two parameters vary:

Types 2 and 3 of JacobiP function have different branch cut structures:

Function Properties  (4)

Domain of JacobiP of integer orders:

The range for JacobiP of integer orders:

The range for complex values is the whole plane:

JacobiP has the mirror property :

TraditionalForm formatting:

Differentiation  (3)

First derivative with respect to x:

Higher derivatives with respect to x:

Plot the higher derivatives with respect to x:

Formula for the ^(th) derivative with respect to x:

Integration  (3)

Compute the indefinite integral using Integrate:

Verify the anti-derivative:

Definite integral:

More integrals:

Series Expansions  (4)

Find the Taylor expansion using Series:

Plots of the first three approximations around :

Find the series expansion at Infinity:

Find series expansion for an arbitrary symbolic direction :

Taylor expansion at a generic point:

Function Identities and Simplifications  (3)

JacobiP is defined through the identity:

Normalization of JacobiP:

Recurrence relations:

Applications  (3)

Expected value of the number of real eigenvalues of a complex matrix:

Solve a Jacobi differential equation:

Solution of the Schrödinger equation with a PöschlTeller potential:

Calculate the energy eigenvalue from the differential equation:

Properties & Relations  (2)

Use FunctionExpand to expand into other functions:

The generating function for JacobiP:

Possible Issues  (1)

Cancellations in the polynomial form may lead to inaccurate numerical results:

Evaluate the function directly:

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


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


@misc{reference.wolfram_2020_jacobip, author="Wolfram Research", title="{JacobiP}", year="1988", howpublished="\url{https://reference.wolfram.com/language/ref/JacobiP.html}", note=[Accessed: 16-April-2021 ]}


@online{reference.wolfram_2020_jacobip, organization={Wolfram Research}, title={JacobiP}, year={1988}, url={https://reference.wolfram.com/language/ref/JacobiP.html}, note=[Accessed: 16-April-2021 ]}


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


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