Laguerre polynomials
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In mathematics, the Laguerre polynomials, named after Edmond Laguerre (1834 - 1886), are the canonical solutions of Laguerre's equation:
- [x\,y'' + (1 - x)\,y' + n\,y = 0\,]
These polynomials, usually denoted [L_0, L_1, \dots], are a polynomial sequence which may be defined by the Rodrigues formula
- [L_n(x)=\frac\frac\left(e^ x^n\right).]
- [\langle f,g \rangle = \int_0^\infty f(x) g(x) e^\,dx.]
The Laguerre polynomials arise in quantum mechanics, in the radial part of the solution of the Schrödinger equation for a one-electron atom.
Physicists often use a definition for the Laguerre polynomials that is larger, by a factor of [(n!)], than the definition used here.
The first few polynomials
These are the first few Laguerre polynomials:
| n | [L_n(x)\,] |
| 0 | [1\,] |
| 1 | [-x+1\,] |
| 2 | [\begin\frac12\end (x^2-4x+2) \,] |
| 3 | [\begin\frac16\end (-x^3+9x^2-18x+6) \,] |
| 4 | [\begin\frac1\end (x^4-16x^3+72x^2-96x+24) \,] |
| 5 | [\begin\frac1\end (-x^5+25x^4-200x^3+600x^2-600x+120) \,] |
| 6 | [\begin\frac1\end (x^6-36x^5+450x^4-2400x^3+5400x^2-4320x+720) \,] |
As contour integral
The polynomials may be expressed in terms of a contour integral
- [L_n(x)=\frac\oint\frac}} \; dt]
Generalized Laguerre polynomials
The orthogonality property stated above is equivalent to saying that if X is an exponentially distributed random variable with probability density function
- [f(x)=\left\ e^ & \mbox\ x>0, \\ 0 & \mbox\ x<0, \end\right.]
- [E(L_n(X)L_m(X))=0\ \mbox\ n\neq m.]
- [f(x)=\left\ x^\alpha e^/\Gamma(1+\alpha) & \mbox\ x>0, \\ 0 & \mbox\ x<0, \end\right.]
- [L_n^(x)= e^x \over n!} \left(e^ x^\right) .]
- [L^_n(x)=L_n(x).]
- [\int_0^e^x^\alpha L_n^(x)L_m^(x)dx=\frac\delta_.]
- [x L_n^(x) + (\alpha+1-x)L_n^(x) + n L_n^(x)=0.\,]
Explicit examples of generalized Laguerre polynomials
The generalized Laguerre polynomial of degree [n] is (as follows from applying Leibniz's theorem for differentiation of a product to the defining Rodrigues formula)
- [L_n^ (x) = \sum_^n \frac]
The first few generalized Laguerre polynomials are
- [ L_0^ (x) = 1 ]
- [ L_1^(x) = -x + \alpha +1]
- [ L_2^(x) = \frac - (\alpha + 2)x + \frac]
- [ L_3^(x) = \frac + \frac - \frac+ \frac]
Derivatives of generalized Laguerre polynomials
Differentiating the power series representation of a generalized Laguerre polynomial [k] times leads to
- [\frac L_n^ (x)=(-1)^k L_^ (x)\,.]
Relation to Hermite polynomials
The generalized Laguerre polynomials arise in the treatment of the quantum harmonic oscillator, due to their relation to the Hermite polynomials, which can be expressed as
- [H_(x) = (-1)^n 2^ n! L_n^ (x^2)]
- [H_(x) = (-1)^n 2^ n! x L_n^ (x^2)]
Relation to hypergeometric functions
The Laguerre polynomials may be defined in terms of hypergeometric functions, specifically the confluent hypergeometric functions, as
- [L^_n(x) = M(-n,\alpha+1,x) =\frac \,_1F_1(-n,\alpha+1,x)]
External links
References
- (See [chapter 22].)
- Eric W. Weisstein, "[Laguerre Polynomial]", From MathWorld--A Wolfram Web Resource.
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