Jacobi polynomials

Short description: Polynomial sequence

Plot of the Jacobi polynomial function [math]\displaystyle{ P_n^{(\alpha,\beta)} }[/math] with [math]\displaystyle{ n=10 }[/math] and [math]\displaystyle{ \alpha=2 }[/math] and [math]\displaystyle{ \beta=2 }[/math] in the complex plane from [math]\displaystyle{ -2-2i }[/math] to [math]\displaystyle{ 2+2i }[/math] with colors created with Mathematica 13.1 function ComplexPlot3D

In mathematics, Jacobi polynomials (occasionally called hypergeometric polynomials) [math]\displaystyle{ P_n^{(\alpha,\beta)}(x) }[/math] are a class of classical orthogonal polynomials. They are orthogonal with respect to the weight [math]\displaystyle{ (1-x)^\alpha(1+x)^\beta }[/math] on the interval [math]\displaystyle{ [-1,1] }[/math]. The Gegenbauer polynomials, and thus also the Legendre, Zernike and Chebyshev polynomials, are special cases of the Jacobi polynomials.

The Jacobi polynomials were introduced by Carl Gustav Jacob Jacobi.

Definitions

Via the hypergeometric function

The Jacobi polynomials are defined via the hypergeometric function as follows:

[math]\displaystyle{ P_n^{(\alpha,\beta)}(z)=\frac{(\alpha+1)_n}{n!}\,{}_2F_1\left(-n,1+\alpha+\beta+n;\alpha+1;\tfrac{1}{2}(1-z)\right), }[/math]

where [math]\displaystyle{ (\alpha+1)_n }[/math] is Pochhammer's symbol (for the rising factorial). In this case, the series for the hypergeometric function is finite, therefore one obtains the following equivalent expression:

[math]\displaystyle{ P_n^{(\alpha,\beta)} (z) = \frac{\Gamma (\alpha+n+1)}{n!\,\Gamma (\alpha+\beta+n+1)} \sum_{m=0}^n {n\choose m} \frac{\Gamma (\alpha + \beta + n + m + 1)}{\Gamma (\alpha + m + 1)} \left(\frac{z-1}{2}\right)^m. }[/math]

Rodrigues' formula

An equivalent definition is given by Rodrigues' formula:

[math]\displaystyle{ P_n^{(\alpha,\beta)}(z) = \frac{(-1)^n}{2^n n!} (1-z)^{-\alpha} (1+z)^{-\beta} \frac{d^n}{dz^n} \left\{ (1-z)^\alpha (1+z)^\beta \left (1 - z^2 \right )^n \right\}. }[/math]

If [math]\displaystyle{ \alpha = \beta = 0 }[/math], then it reduces to the Legendre polynomials:

[math]\displaystyle{ P_{n}(z) = \frac{1 }{2^n n! } \frac{d^n }{ d z^n } ( z^2 - 1 )^n \; . }[/math]

Alternate expression for real argument

For real [math]\displaystyle{ x }[/math] the Jacobi polynomial can alternatively be written as

[math]\displaystyle{ P_n^{(\alpha,\beta)}(x)= \sum_{s=0}^n {n+\alpha\choose n-s}{n+\beta \choose s} \left(\frac{x-1}{2}\right)^{s} \left(\frac{x+1}{2}\right)^{n-s} }[/math]

and for integer [math]\displaystyle{ n }[/math]

[math]\displaystyle{ {z \choose n} = \begin{cases} \frac{\Gamma(z+1)}{\Gamma(n+1)\Gamma(z-n+1)} & n \geq 0 \\ 0 & n \lt 0 \end{cases} }[/math]

where [math]\displaystyle{ \Gamma(z) }[/math] is the gamma function.

In the special case that the four quantities [math]\displaystyle{ n }[/math], [math]\displaystyle{ n+\alpha }[/math], [math]\displaystyle{ n+\beta }[/math], [math]\displaystyle{ n+\alpha+\beta }[/math] are nonnegative integers, the Jacobi polynomial can be written as

[math]\displaystyle{ P_n^{(\alpha,\beta)}(x)=(n+\alpha)! (n+\beta)! \sum_{s=0}^n \frac{1}{s! (n+\alpha-s)!(\beta+s)!(n-s)!} \left(\frac{x-1}{2}\right)^{n-s} \left(\frac{x+1}{2}\right)^{s}. }[/math]

(1)

The sum extends over all integer values of [math]\displaystyle{ s }[/math] for which the arguments of the factorials are nonnegative.

Special cases

[math]\displaystyle{ P_0^{(\alpha,\beta)}(z)= 1, }[/math]

[math]\displaystyle{ P_1^{(\alpha,\beta)}(z)= (\alpha+1) + (\alpha+\beta+2)\frac{z-1}{2}, }[/math]

[math]\displaystyle{ P_2^{(\alpha,\beta)}(z)= \frac{(\alpha+1)(\alpha+2)}{2} + (\alpha+2)(\alpha+\beta+3)\frac{z-1}{2} + \frac{(\alpha+\beta+3)(\alpha+\beta+4)}{2}\left(\frac{z-1}{2}\right)^2. }[/math]

Basic properties

Orthogonality

The Jacobi polynomials satisfy the orthogonality condition

[math]\displaystyle{ \int_{-1}^1 (1-x)^{\alpha} (1+x)^{\beta} P_m^{(\alpha,\beta)} (x)P_n^{(\alpha,\beta)} (x)\,dx =\frac{2^{\alpha+\beta+1}}{2n+\alpha+\beta+1} \frac{\Gamma(n+\alpha+1)\Gamma(n+\beta+1)}{\Gamma(n+\alpha+\beta+1)n!} \delta_{nm}, \qquad \alpha,\ \beta \gt -1. }[/math]

As defined, they do not have unit norm with respect to the weight. This can be corrected by dividing by the square root of the right hand side of the equation above, when [math]\displaystyle{ n=m }[/math].

Although it does not yield an orthonormal basis, an alternative normalization is sometimes preferred due to its simplicity:

[math]\displaystyle{ P_n^{(\alpha, \beta)} (1) = {n+\alpha\choose n}. }[/math]

Symmetry relation

The polynomials have the symmetry relation

[math]\displaystyle{ P_n^{(\alpha, \beta)} (-z) = (-1)^n P_n^{(\beta, \alpha)} (z); }[/math]

thus the other terminal value is

[math]\displaystyle{ P_n^{(\alpha, \beta)} (-1) = (-1)^n { n+\beta\choose n}. }[/math]

Derivatives

The [math]\displaystyle{ k }[/math]th derivative of the explicit expression leads to

[math]\displaystyle{ \frac{d^k}{dz^k} P_n^{(\alpha,\beta)} (z) = \frac{\Gamma (\alpha+\beta+n+1+k)}{2^k \Gamma (\alpha+\beta+n+1)} P_{n-k}^{(\alpha+k, \beta+k)} (z). }[/math]

Differential equation

The Jacobi polynomial [math]\displaystyle{ P_n^{(\alpha,\beta)} }[/math] is a solution of the second order linear homogeneous differential equation

[math]\displaystyle{ \left (1-x^2 \right )y'' + ( \beta-\alpha - (\alpha + \beta + 2)x )y' + n(n+\alpha+\beta+1) y = 0. }[/math]

Recurrence relations

The recurrence relation for the Jacobi polynomials of fixed [math]\displaystyle{ \alpha }[/math], [math]\displaystyle{ \beta }[/math] is:

[math]\displaystyle{ \begin{align} &2n (n + \alpha + \beta) (2n + \alpha + \beta - 2) P_n^{(\alpha,\beta)}(z) \\ &\qquad= (2n+\alpha + \beta-1) \Big\{ (2n+\alpha + \beta)(2n+\alpha+\beta-2) z + \alpha^2 - \beta^2 \Big\} P_{n-1}^{(\alpha,\beta)}(z) - 2 (n+\alpha - 1) (n + \beta-1) (2n+\alpha + \beta) P_{n-2}^{(\alpha, \beta)}(z), \end{align} }[/math]

for [math]\displaystyle{ n=2,3,\ldots }[/math]. Writing for brevity [math]\displaystyle{ a:=n + \alpha }[/math], [math]\displaystyle{ b:=n + \beta }[/math] and [math]\displaystyle{ c:=a+b=2n + \alpha+ \beta }[/math], this becomes in terms of [math]\displaystyle{ a,b,c }[/math]

[math]\displaystyle{ 2n (c-n)(c-2) P_n^{(\alpha,\beta)}(z) =(c-1) \Big\{ c(c-2) z + (a-b)(c-2n) \Big\} P_{n-1}^{(\alpha,\beta)}(z)-2 (a-1)(b-1) c\; P_{n-2}^{(\alpha, \beta)}(z). }[/math]

Since the Jacobi polynomials can be described in terms of the hypergeometric function, recurrences of the hypergeometric function give equivalent recurrences of the Jacobi polynomials. In particular, Gauss' contiguous relations correspond to the identities

[math]\displaystyle{ \begin{align} (z-1) \frac{d}{dz} P_n^{(\alpha,\beta)}(z) & = \frac{1}{2} (z-1)(1+\alpha+\beta+n)P_{n-1}^{(\alpha+1,\beta+1)} \\ & = n P_n^{(\alpha,\beta)} - (\alpha+n) P_{n-1}^{(\alpha,\beta+1)} \\ & =(1+\alpha+\beta+n) \left( P_n^{(\alpha,\beta+1)} - P_{n}^{(\alpha,\beta)} \right) \\ & =(\alpha+n) P_n^{(\alpha-1,\beta+1)} - \alpha P_n^{(\alpha,\beta)} \\ & =\frac{2(n+1) P_{n+1}^{(\alpha,\beta-1)} - \left(z(1+\alpha+\beta+n)+\alpha+1+n-\beta \right) P_n^{(\alpha,\beta)}}{1+z} \\ & =\frac{(2\beta+n+nz) P_n^{(\alpha,\beta)} - 2(\beta+n) P_n^{(\alpha,\beta-1)}}{1+z} \\ & =\frac{1-z}{1+z} \left( \beta P_n^{(\alpha,\beta)} - (\beta+n) P_{n}^{(\alpha+1,\beta-1)} \right) \, . \end{align} }[/math]

Generating function

The generating function of the Jacobi polynomials is given by

[math]\displaystyle{ \sum_{n=0}^\infty P_n^{(\alpha,\beta)}(z) t^n = 2^{\alpha + \beta} R^{-1} (1 - t + R)^{-\alpha} (1 + t + R)^{-\beta}, }[/math]

where

[math]\displaystyle{ R = R(z, t) = \left(1 - 2zt + t^2\right)^{\frac{1}{2}}~, }[/math]

and the branch of square root is chosen so that [math]\displaystyle{ R(z, 0) = 1 }[/math].

Asymptotics of Jacobi polynomials

For [math]\displaystyle{ x }[/math] in the interior of [math]\displaystyle{ [-1,1] }[/math], the asymptotics of [math]\displaystyle{ P_n^{(\alpha,\beta)} }[/math] for large [math]\displaystyle{ n }[/math] is given by the Darboux formula

[math]\displaystyle{ P_n^{(\alpha,\beta)}(\cos \theta) = n^{-\frac{1}{2}}k(\theta)\cos (N\theta + \gamma) + O \left (n^{-\frac{3}{2}} \right ), }[/math]

where

[math]\displaystyle{ \begin{align} k(\theta) &= \pi^{-\frac{1}{2}} \sin^{-\alpha-\frac{1}{2}} \tfrac{\theta}{2} \cos^{-\beta-\frac{1}{2}} \tfrac{\theta}{2},\\ N &= n + \tfrac{1}{2} (\alpha+\beta+1),\\ \gamma &= - \tfrac{\pi}{2} \left (\alpha + \tfrac{1}{2} \right ), \end{align} }[/math]

and the "[math]\displaystyle{ O }[/math]" term is uniform on the interval [math]\displaystyle{ [\varepsilon,\pi-\varepsilon] }[/math] for every [math]\displaystyle{ \varepsilon\gt 0 }[/math].

The asymptotics of the Jacobi polynomials near the points [math]\displaystyle{ \pm 1 }[/math] is given by the Mehler–Heine formula

[math]\displaystyle{ \begin{align} \lim_{n \to \infty} n^{-\alpha}P_n^{(\alpha,\beta)}\left(\cos \left ( \tfrac{z}{n} \right ) \right) &= \left(\tfrac{z}{2}\right)^{-\alpha} J_\alpha(z)\\ \lim_{n \to \infty} n^{-\beta}P_n^{(\alpha,\beta)}\left(\cos \left (\pi - \tfrac{z}{n} \right) \right) &= \left(\tfrac{z}{2}\right)^{-\beta} J_\beta(z) \end{align} }[/math]

where the limits are uniform for [math]\displaystyle{ z }[/math] in a bounded domain.

The asymptotics outside [math]\displaystyle{ [-1,1] }[/math] is less explicit.

Applications

Wigner d-matrix

The expression (1) allows the expression of the Wigner d-matrix [math]\displaystyle{ d^j_{m',m}(\phi) }[/math] (for [math]\displaystyle{ 0\leq \phi\leq 4\pi }[/math]) in terms of Jacobi polynomials:

[math]\displaystyle{ d^j_{m'm}(\phi) =\left[ \frac{(j+m)!(j-m)!}{(j+m')!(j-m')!}\right]^{\frac{1}{2}} \left(\sin\tfrac{\phi}{2}\right)^{m-m'} \left(\cos\tfrac{\phi}{2}\right)^{m+m'} P_{j-m}^{(m-m',m+m')}(\cos \phi). }[/math]

See also

• Askey–Gasper inequality
• Big q-Jacobi polynomials
• Continuous q-Jacobi polynomials
• Little q-Jacobi polynomials
• Pseudo Jacobi polynomials
• Jacobi process
• Gegenbauer polynomials
• Romanovski polynomials

Notes

Further reading

• Andrews, George E.; Askey, Richard; Roy, Ranjan (1999), Special functions, Encyclopedia of Mathematics and its Applications, 71, Cambridge University Press, ISBN:978-0-521-78988-2, ISBN 978-0-521-62321-6 
• Koornwinder, Tom H.; Wong, Roderick S. C.; Koekoek, Roelof; Swarttouw, René F. (2010), "Orthogonal Polynomials", in Olver, Frank W. J.; Lozier, Daniel M.; Boisvert, Ronald F. et al., NIST Handbook of Mathematical Functions, Cambridge University Press, ISBN 978-0-521-19225-5, http://dlmf.nist.gov/18 

External links

• Weisstein, Eric W.. "Jacobi Polynomial". http://mathworld.wolfram.com/JacobiPolynomial.html.