# Laguerre polynomials

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In mathematics, the Laguerre polynomials, named after Edmond Laguerre (1834 - 1886), are solutions of Laguerre's equation:

$xy''+(1-x)y'+ny=0$ which is a second-order linear differential equation. This equation has nonsingular solutions only if n is a non-negative integer.

Sometimes the name Laguerre polynomials is used for solutions of

$xy''+(\alpha +1-x)y'+ny=0~.$ where n is still a non-negative integer. Then they are also named generalized Laguerre polynomials, as will be done here (alternatively associated Laguerre polynomials or, rarely, Sonine polynomials, after their inventor Nikolay Yakovlevich Sonin).

More generally, a Laguerre function is a solution when n is not necessarily a non-negative integer.

The Laguerre polynomials are also used for Gaussian quadrature to numerically compute integrals of the form

$\int _{0}^{\infty }f(x)e^{-x}\,dx.$ These polynomials, usually denoted L0L1, ..., are a polynomial sequence which may be defined by the Rodrigues formula,

$L_{n}(x)={\frac {e^{x}}{n!}}{\frac {d^{n}}{dx^{n}}}\left(e^{-x}x^{n}\right)={\frac {1}{n!}}\left({\frac {d}{dx}}-1\right)^{n}x^{n},$ reducing to the closed form of a following section.

They are orthogonal polynomials with respect to an inner product

$\langle f,g\rangle =\int _{0}^{\infty }f(x)g(x)e^{-x}\,dx.$ The sequence of Laguerre polynomials n! Ln is a Sheffer sequence,

${\frac {d}{dx}}L_{n}=\left({\frac {d}{dx}}-1\right)L_{n-1}.$ The Rook polynomials in combinatorics are more or less the same as Laguerre polynomials, up to elementary changes of variables. Further see the Tricomi–Carlitz polynomials.

The Laguerre polynomials arise in quantum mechanics, in the radial part of the solution of the Schrödinger equation for a one-electron atom. They also describe the static Wigner functions of oscillator systems in quantum mechanics in phase space. They further enter in the quantum mechanics of the Morse potential and of the 3D isotropic harmonic oscillator.

Physicists sometimes use a definition for the Laguerre polynomials which is larger by a factor of n! than the definition used here. (Likewise, some physicists may use somewhat different definitions of the so-called associated Laguerre polynomials.)

## The first few polynomials

These are the first few Laguerre polynomials:

n $L_{n}(x)\,$ 0 $1\,$ 1 $-x+1\,$ 2 ${{\frac {1}{2}}}(x^{2}-4x+2)\,$ 3 ${{\frac {1}{6}}}(-x^{3}+9x^{2}-18x+6)\,$ 4 ${{\frac {1}{24}}}(x^{4}-16x^{3}+72x^{2}-96x+24)\,$ 5 ${{\frac {1}{120}}}(-x^{5}+25x^{4}-200x^{3}+600x^{2}-600x+120)\,$ 6 ${{\frac {1}{720}}}(x^{6}-36x^{5}+450x^{4}-2400x^{3}+5400x^{2}-4320x+720)\,$ ## Recursive definition, closed form, and generating function

One can also define the Laguerre polynomials recursively, defining the first two polynomials as

$L_{0}(x)=1$ $L_{1}(x)=1-x$ and then using the following recurrence relation for any k ≥ 1:

$L_{k+1}(x)={\frac {(2k+1-x)L_{k}(x)-kL_{k-1}(x)}{k+1}}.$ In solution of some boundary value problems, the characteristic values can be useful:

$L_{k}(0)=1,L_{k}'(0)=-k.$ The closed form is

$L_{n}(x)=\sum _{k=0}^{n}{\binom {n}{k}}{\frac {(-1)^{k}}{k!}}x^{k}.$ The generating function for them likewise follows,

$\sum _{n}^{\infty }t^{n}L_{n}(x)={\frac {1}{1-t}}e^{-{\frac {tx}{1-t}}}.$ Polynomials of negative index can be expressed using the ones with positive index:

$L_{-n}(x)=e^{x}L_{n-1}(-x).$ ## Generalized Laguerre polynomials

For arbitrary real α the polynomial solutions of the differential equation

$x\,y''+(\alpha +1-x)\,y'+n\,y=0$ are called generalized Laguerre polynomials, or associated Laguerre polynomials.

One can also define the generalized Laguerre polynomials recursively, defining the first two polynomials as

$L_{0}^{(\alpha )}(x)=1$ $L_{1}^{(\alpha )}(x)=1+\alpha -x$ and then using the following recurrence relation for any k ≥ 1:

$L_{k+1}^{(\alpha )}(x)={\frac {(2k+1+\alpha -x)L_{k}^{(\alpha )}(x)-(k+\alpha )L_{k-1}^{(\alpha )}(x)}{k+1}}.$ The simple Laguerre polynomials are the special case α = 0 of the generalized Laguerre polynomials:

$L_{n}^{(0)}(x)=L_{n}(x).$ The Rodrigues formula for them is

{\begin{aligned}L_{n}^{(\alpha )}(x)&={x^{-\alpha }e^{x} \over n!}{d^{n} \over dx^{n}}\left(e^{-x}x^{n+\alpha }\right)\\&=x^{-\alpha }{\frac {({\frac {d}{dx}}-1)^{n}}{n!}}x^{n+\alpha }.\end{aligned}} The generating function for them is

$\sum _{n}^{\infty }t^{n}L_{n}^{(\alpha )}(x)={\frac {1}{(1-t)^{\alpha +1}}}e^{-{\frac {tx}{1-t}}}.$ ### Explicit examples and properties of the generalized Laguerre polynomials

$L_{n}^{(\alpha )}(x):={n+\alpha \choose n}M(-n,\alpha +1,x).$ ${n+\alpha \choose n}$ is a generalized binomial coefficient. When n is an integer the function reduces to a polynomial of degree n. It has the alternative expression
$L_{n}^{(\alpha )}(x)={\frac {(-1)^{n}}{n!}}U(-n,\alpha +1,x)$ in terms of Kummer's function of the second kind.
• The closed form for these generalized Laguerre polynomials of degree n is
$L_{n}^{(\alpha )}(x)=\sum _{i=0}^{n}(-1)^{i}{n+\alpha \choose n-i}{\frac {x^{i}}{i!}}$ derived by applying Leibniz's theorem for differentiation of a product to Rodrigues' formula.
• The first few generalized Laguerre polynomials are:
{\begin{aligned}L_{0}^{(\alpha )}(x)&=1\\L_{1}^{(\alpha )}(x)&=-x+\alpha +1\\L_{2}^{(\alpha )}(x)&={\frac {x^{2}}{2}}-(\alpha +2)x+{\frac {(\alpha +2)(\alpha +1)}{2}}\\L_{3}^{(\alpha )}(x)&={\frac {-x^{3}}{6}}+{\frac {(\alpha +3)x^{2}}{2}}-{\frac {(\alpha +2)(\alpha +3)x}{2}}+{\frac {(\alpha +1)(\alpha +2)(\alpha +3)}{6}}\end{aligned}} $L_{n}^{(\alpha )}(0)={n+\alpha \choose n}\approx {\frac {n^{\alpha }}{\Gamma (\alpha +1)}};$ • If α is non-negative, then Ln(α) has n real, strictly positive roots (notice that $\left((-1)^{n-i}L_{n-i}^{(\alpha )}\right)_{i=0}^{n}$ is a Sturm chain), which are all in the interval $\left(0,n+\alpha +(n-1){\sqrt {n+\alpha }}\right].$ [citation needed]
• The polynomials' asymptotic behaviour for large n, but fixed α and x > 0, is given by
$L_{n}^{(\alpha )}(x)={\frac {n^{{\frac {\alpha }{2}}-{\frac {1}{4}}}}{\sqrt {\pi }}}{\frac {e^{\frac {x}{2}}}{x^{{\frac {\alpha }{2}}+{\frac {1}{4}}}}}\cos \left(2{\sqrt {nx}}-{\frac {\pi }{2}}\left(\alpha +{\frac {1}{2}}\right)\right)+O\left(n^{{\frac {\alpha }{2}}-{\frac {3}{4}}}\right),$ $L_{n}^{(\alpha )}(-x)={\frac {(n+1)^{{\frac {\alpha }{2}}-{\frac {1}{4}}}}{2{\sqrt {\pi }}}}{\frac {e^{-{\frac {x}{2}}}}{x^{{\frac {\alpha }{2}}+{\frac {1}{4}}}}}e^{2{\sqrt {x(n+1)}}}\cdot \left(1+O\left({\frac {1}{\sqrt {n+1}}}\right)\right),$ and summarizing by
${\frac {L_{n}^{(\alpha )}\left({\frac {x}{n}}\right)}{n^{\alpha }}}\approx e^{\frac {x}{2n}}\cdot {\frac {J_{\alpha }\left(2{\sqrt {x}}\right)}{{\sqrt {x}}^{\alpha }}},$ where $J_{\alpha }$ is the Bessel function.

### As a contour integral

Given the generating function specified above, the polynomials may be expressed in terms of a contour integral

$L_{n}^{(\alpha )}(x)={\frac {1}{2\pi i}}\oint _{C}{\frac {e^{-{\frac {xt}{1-t}}}}{(1-t)^{\alpha +1}\,t^{n+1}}}\;dt,$ where the contour circles the origin once in a counterclockwise direction without enclosing the essential singularity at 1

### Recurrence relations

The addition formula for Laguerre polynomials:

$L_{n}^{(\alpha +\beta +1)}(x+y)=\sum _{i=0}^{n}L_{i}^{(\alpha )}(x)L_{n-i}^{(\beta )}(y)$ .

Laguerre's polynomials satisfy the recurrence relations

$L_{n}^{(\alpha )}(x)=\sum _{i=0}^{n}L_{n-i}^{(\alpha +i)}(y){\frac {(y-x)^{i}}{i!}},$ in particular

$L_{n}^{(\alpha +1)}(x)=\sum _{i=0}^{n}L_{i}^{(\alpha )}(x)$ and

$L_{n}^{(\alpha )}(x)=\sum _{i=0}^{n}{\alpha -\beta +n-i-1 \choose n-i}L_{i}^{(\beta )}(x),$ or

$L_{n}^{(\alpha )}(x)=\sum _{i=0}^{n}{\alpha -\beta +n \choose n-i}L_{i}^{(\beta -i)}(x);$ moreover

{\begin{aligned}L_{n}^{(\alpha )}(x)-\sum _{j=0}^{\Delta -1}{n+\alpha \choose n-j}(-1)^{j}{\frac {x^{j}}{j!}}&=(-1)^{\Delta }{\frac {x^{\Delta }}{(\Delta -1)!}}\sum _{i=0}^{n-\Delta }{\frac {n+\alpha \choose n-\Delta -i}{(n-i){n \choose i}}}L_{i}^{(\alpha +\Delta )}(x)\\[6pt]&=(-1)^{\Delta }{\frac {x^{\Delta }}{(\Delta -1)!}}\sum _{i=0}^{n-\Delta }{\frac {n+\alpha -i-1 \choose n-\Delta -i}{(n-i){n \choose i}}}L_{i}^{(n+\alpha +\Delta -i)}(x)\end{aligned}} They can be used to derive the four 3-point-rules

{\begin{aligned}L_{n}^{(\alpha )}(x)&=L_{n}^{(\alpha +1)}(x)-L_{n-1}^{(\alpha +1)}(x)=\sum _{j=0}^{k}{k \choose j}L_{n-j}^{(\alpha +k)}(x),\\[10pt]nL_{n}^{(\alpha )}(x)&=(n+\alpha )L_{n-1}^{(\alpha )}(x)-xL_{n-1}^{(\alpha +1)}(x),\\[10pt]&{\text{or }}\\{\frac {x^{k}}{k!}}L_{n}^{(\alpha )}(x)&=\sum _{i=0}^{k}(-1)^{i}{n+i \choose i}{n+\alpha \choose k-i}L_{n+i}^{(\alpha -k)}(x),\\[10pt]nL_{n}^{(\alpha +1)}(x)&=(n-x)L_{n-1}^{(\alpha +1)}(x)+(n+\alpha )L_{n-1}^{(\alpha )}(x)\\[10pt]xL_{n}^{(\alpha +1)}(x)&=(n+\alpha )L_{n-1}^{(\alpha )}(x)-(n-x)L_{n}^{(\alpha )}(x);\end{aligned}} combined they give this additional, useful recurrence relations

{\begin{aligned}L_{n}^{(\alpha )}(x)&=\left(2+{\frac {\alpha -1-x}{n}}\right)L_{n-1}^{(\alpha )}(x)-\left(1+{\frac {\alpha -1}{n}}\right)L_{n-2}^{(\alpha )}(x)\\[10pt]&={\frac {\alpha +1-x}{n}}L_{n-1}^{(\alpha +1)}(x)-{\frac {x}{n}}L_{n-2}^{(\alpha +2)}(x)\end{aligned}} Since $L_{n}^{(\alpha )}(x)$ is a monic polynomial of degree $n$ in $\alpha$ , there is the partial fraction decomposition

{\begin{aligned}{\frac {n!\,L_{n}^{(\alpha )}(x)}{(\alpha +1)_{n}}}&=1-\sum _{j=1}^{n}(-1)^{j}{\frac {j}{\alpha +j}}{n \choose j}L_{n}^{(-j)}(x)\\&=1-\sum _{j=1}^{n}{\frac {x^{j}}{\alpha +j}}\,\,{\frac {L_{n-j}^{(j)}(x)}{(j-1)!}}\\&=1-x\sum _{i=1}^{n}{\frac {L_{n-i}^{(-\alpha )}(x)L_{i-1}^{(\alpha +1)}(-x)}{\alpha +i}}.\end{aligned}} The second equality follows by the following identity, valid for integer i and n and immediate from the expression of $L_{n}^{(\alpha )}(x)$ in terms of Charlier polynomials:

${\frac {(-x)^{i}}{i!}}L_{n}^{(i-n)}(x)={\frac {(-x)^{n}}{n!}}L_{i}^{(n-i)}(x).$ For the third equality apply the fourth and fifth identities of this section.

### Derivatives of generalized Laguerre polynomials

Differentiating the power series representation of a generalized Laguerre polynomial k times leads to

${\frac {d^{k}}{dx^{k}}}L_{n}^{(\alpha )}(x)={\begin{cases}(-1)^{k}L_{n-k}^{(\alpha +k)}(x){\text{ if }}k\leq n\\0{\text{ otherwise}}\end{cases}}.$ This points to a special case (α = 0) of the formula above: for integer α = k the generalized polynomial may be written

$L_{n}^{(k)}(x)=(-1)^{k}{\frac {d^{k}L_{n+k}(x)}{dx^{k}}},$ the shift by k sometimes causing confusion with the usual parenthesis notation for a derivative.

Moreover, the following equation holds:

${\frac {1}{k!}}{\frac {d^{k}}{dx^{k}}}x^{\alpha }L_{n}^{(\alpha )}(x)={n+\alpha \choose k}x^{\alpha -k}L_{n}^{(\alpha -k)}(x),$ which generalizes with Cauchy's formula to

$L_{n}^{(\alpha ')}(x)=(\alpha '-\alpha ){\alpha '+n \choose \alpha '-\alpha }\int _{0}^{x}{\frac {t^{\alpha }(x-t)^{\alpha '-\alpha -1}}{x^{\alpha '}}}L_{n}^{(\alpha )}(t)\,dt.$ The derivative with respect to the second variable α has the form,

${\frac {d}{d\alpha }}L_{n}^{(\alpha )}(x)=\sum _{i=0}^{n-1}{\frac {L_{i}^{(\alpha )}(x)}{n-i}}.$ This is evident from the contour integral representation below.

The generalized Laguerre polynomials obey the differential equation

$xL_{n}^{(\alpha )\prime \prime }(x)+(\alpha +1-x)L_{n}^{(\alpha )\prime }(x)+nL_{n}^{(\alpha )}(x)=0,$ which may be compared with the equation obeyed by the kth derivative of the ordinary Laguerre polynomial,

$xL_{n}^{[k]\prime \prime }(x)+(k+1-x)L_{n}^{[k]\prime }(x)+(n-k)L_{n}^{[k]}(x)=0,$ where $L_{n}^{[k]}(x)\equiv {\frac {d^{k}L_{n}(x)}{dx^{k}}}$ for this equation only.

In Sturm–Liouville form the differential equation is

$-\left(x^{\alpha +1}e^{-x}\cdot L_{n}^{(\alpha )}(x)^{\prime }\right)^{\prime }=n\cdot x^{\alpha }e^{-x}\cdot L_{n}^{(\alpha )}(x),$ which shows that L(α)
n
is an eigenvector for the eigenvalue n.

### Orthogonality

The generalized Laguerre polynomials are orthogonal over [0, ∞) with respect to the measure with weighting function xα ex:

$\int _{0}^{\infty }x^{\alpha }e^{-x}L_{n}^{(\alpha )}(x)L_{m}^{(\alpha )}(x)dx={\frac {\Gamma (n+\alpha +1)}{n!}}\delta _{n,m},$ which follows from

$\int _{0}^{\infty }x^{\alpha '-1}e^{-x}L_{n}^{(\alpha )}(x)dx={\alpha -\alpha '+n \choose n}\Gamma (\alpha ').$ If $\Gamma (x,\alpha +1,1)$ denotes the Gamma distribution then the orthogonality relation can be written as

$\int _{0}^{\infty }L_{n}^{(\alpha )}(x)L_{m}^{(\alpha )}(x)\Gamma (x,\alpha +1,1)dx={n+\alpha \choose n}\delta _{n,m},$ The associated, symmetric kernel polynomial has the representations (Christoffel–Darboux formula)[citation needed]

{\begin{aligned}K_{n}^{(\alpha )}(x,y)&:={\frac {1}{\Gamma (\alpha +1)}}\sum _{i=0}^{n}{\frac {L_{i}^{(\alpha )}(x)L_{i}^{(\alpha )}(y)}{\alpha +i \choose i}}\\&{=}{\frac {1}{\Gamma (\alpha +1)}}{\frac {L_{n}^{(\alpha )}(x)L_{n+1}^{(\alpha )}(y)-L_{n+1}^{(\alpha )}(x)L_{n}^{(\alpha )}(y)}{{\frac {x-y}{n+1}}{n+\alpha \choose n}}}\\&{=}{\frac {1}{\Gamma (\alpha +1)}}\sum _{i=0}^{n}{\frac {x^{i}}{i!}}{\frac {L_{n-i}^{(\alpha +i)}(x)L_{n-i}^{(\alpha +i+1)}(y)}{{\alpha +n \choose n}{n \choose i}}};\end{aligned}} recursively

$K_{n}^{(\alpha )}(x,y)={\frac {y}{\alpha +1}}K_{n-1}^{(\alpha +1)}(x,y)+{\frac {1}{\Gamma (\alpha +1)}}{\frac {L_{n}^{(\alpha +1)}(x)L_{n}^{(\alpha )}(y)}{\alpha +n \choose n}}.$ Moreover,[clarification needed Limit as n goes to infinity?]

$y^{\alpha }e^{-y}K_{n}^{(\alpha )}(\cdot ,y)\to \delta (y-\cdot ).$ Turán's inequalities can be derived here, which is

$L_{n}^{(\alpha )}(x)^{2}-L_{n-1}^{(\alpha )}(x)L_{n+1}^{(\alpha )}(x)=\sum _{k=0}^{n-1}{\frac {\alpha +n-1 \choose n-k}{n{n \choose k}}}L_{k}^{(\alpha -1)}(x)^{2}>0.$ The following integral is needed in the quantum mechanical treatment of the hydrogen atom,

$\int _{0}^{\infty }x^{\alpha +1}e^{-x}\left[L_{n}^{(\alpha )}(x)\right]^{2}dx={\frac {(n+\alpha )!}{n!}}(2n+\alpha +1).$ ### Series expansions

Let a function have the (formal) series expansion

$f(x)=\sum _{i=0}^{\infty }f_{i}^{(\alpha )}L_{i}^{(\alpha )}(x).$ Then

$f_{i}^{(\alpha )}=\int _{0}^{\infty }{\frac {L_{i}^{(\alpha )}(x)}{i+\alpha \choose i}}\cdot {\frac {x^{\alpha }e^{-x}}{\Gamma (\alpha +1)}}\cdot f(x)\,dx.$ The series converges in the associated Hilbert space L2[0, ∞) if and only if

$\|f\|_{L^{2}}^{2}:=\int _{0}^{\infty }{\frac {x^{\alpha }e^{-x}}{\Gamma (\alpha +1)}}|f(x)|^{2}dx=\sum _{i=0}^{\infty }{i+\alpha \choose i}|f_{i}^{(\alpha )}|^{2}<\infty .$ #### Further examples of expansions

Monomials are represented as

${\frac {x^{n}}{n!}}=\sum _{i=0}^{n}(-1)^{i}{n+\alpha \choose n-i}L_{i}^{(\alpha )}(x),$ while binomials have the parametrization

${n+x \choose n}=\sum _{i=0}^{n}{\frac {\alpha ^{i}}{i!}}L_{n-i}^{(x+i)}(\alpha ).$ This leads directly to

$e^{-\gamma x}=\sum _{i=0}^{\infty }{\frac {\gamma ^{i}}{(1+\gamma )^{i+\alpha +1}}}L_{i}^{(\alpha )}(x)\qquad {\text{convergent iff }}\Re (\gamma )>-{\tfrac {1}{2}}$ for the exponential function. The incomplete gamma function has the representation

$\Gamma (\alpha ,x)=x^{\alpha }e^{-x}\sum _{i=0}^{\infty }{\frac {L_{i}^{(\alpha )}(x)}{1+i}}\qquad \left(\Re (\alpha )>-1,x>0\right).$ ## In quantum mechanics

In quantum mechanics the Schrodinger equation for the hydrogen-like atom is exactly solvable by separation of variables in spherical coordinates. The radial part of the wave function is a (generalized) Laguerre polynomial.

## Multiplication theorems

Erdélyi gives the following two multiplication theorems 

$t^{n+1+\alpha }e^{(1-t)z}L_{n}^{(\alpha )}(zt)=\sum _{k=n}{k \choose n}\left(1-{\frac {1}{t}}\right)^{k-n}L_{k}^{(\alpha )}(z),$ $e^{(1-t)z}L_{n}^{(\alpha )}(zt)=\sum _{k=0}{\frac {(1-t)^{k}z^{k}}{k!}}L_{n}^{(\alpha +k)}(z).$ ## Relation to Hermite polynomials

The generalized Laguerre polynomials are related to the Hermite polynomials:

{\begin{aligned}H_{2n}(x)&=(-1)^{n}2^{2n}n!L_{n}^{(-1/2)}(x^{2})\\H_{2n+1}(x)&=(-1)^{n}2^{2n+1}n!xL_{n}^{(1/2)}(x^{2})\end{aligned}} where the Hn(x) are the Hermite polynomials based on the weighting function exp(−x2), the so-called "physicist's version."

Because of this, the generalized Laguerre polynomials arise in the treatment of the quantum harmonic oscillator.

## Relation to hypergeometric functions

The Laguerre polynomials may be defined in terms of hypergeometric functions, specifically the confluent hypergeometric functions, as

$L_{n}^{(\alpha )}(x)={n+\alpha \choose n}M(-n,\alpha +1,x)={\frac {(\alpha +1)_{n}}{n!}}\,_{1}F_{1}(-n,\alpha +1,x)$ where $(a)_{n}$ is the Pochhammer symbol (which in this case represents the rising factorial).

## Hardy-Hille formula

The generalized Laguerre polynomials satisfy the Hardy-Hille formula

$\sum _{n=0}^{\infty }{\frac {n!\,\Gamma \left(\alpha +1\right)}{\Gamma \left(n+\alpha +1\right)}}L_{n}^{(\alpha )}(x)L_{n}^{(\alpha )}(y)t^{n}={\frac {1}{(1-t)^{\alpha +1}}}e^{-{\frac {(x+y)t}{1-t}}}\,_{0}F_{1}\left(;\alpha +1;{\frac {xyt}{(1-t)^{2}}}\right),$ where the series on the left converges for $\alpha >-1$ and $|t|<1$ . Using the identity

$\,_{0}F_{1}(;\alpha +1;z)=\,\Gamma \left(\alpha +1\right)z^{-{\frac {\alpha }{2}}}I_{\alpha }\left(2{\sqrt {z}}\right),$ (see generalized hypergeometric function), this can also be written as

$\sum _{n=0}^{\infty }{\frac {n!}{\Gamma \left(1+\alpha +n\right)}}L_{n}^{(\alpha )}(x)L_{n}^{(\alpha )}(y)t^{n}={\frac {1}{\left(xyt\right)^{\frac {\alpha }{2}}\left(1-t\right)}}e^{-{\frac {\left(x+y\right)t}{1-t}}}I_{\alpha }\left({\frac {2{\sqrt {xyt}}}{1-t}}\right).$ This formula is a generalization of the Mehler kernel for Hermite polynomials, which can be recovered from it by using the relations between Laguerre and Hermite polynomials given above.

## See also

• Transverse mode, an important application of Laguerre polynomials to describe the field intensity within a waveguide or laser beam profile.