Hermite polynomial: Difference between revisions
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In [[mathematics]] and [[physics]], '''Hermite polynomials''' form a well-known class of [[orthogonal polynomials]]. In [[quantum mechanics]] they appear as [[eigenfunction]]s of the [[harmonic oscillator (quantum)|harmonic oscillator]] and in [[numerical analysis]] they play a role in [[Gauss-Hermite quadrature]]. The functions are named after the French mathematician [[Charles Hermite]] (1822–1901). | In [[mathematics]] and [[physics]], '''Hermite polynomials''' form a well-known class of [[orthogonal polynomials]]. In [[quantum mechanics]] they appear as [[eigenfunction]]s of the [[harmonic oscillator (quantum)|harmonic oscillator]] and in [[numerical analysis]] they play a role in [[Gauss-Hermite quadrature]]. The functions are named after the French mathematician [[Charles Hermite]] (1822–1901). | ||
*<i>See [[Hermite polynomial/Addendum|Addendum]] for a table of Hermite polynomials through</i> ''n'' = 12. | |||
==Orthonormality== | |||
The Hermite polynomials ''H''<sub>''n''</sub>(''x'') are orthogonal in the sense of the following inner product: | The Hermite polynomials ''H''<sub>''n''</sub>(''x'') are orthogonal in the sense of the following inner product: | ||
:<math> | :<math> | ||
Line 9: | Line 13: | ||
δ<sub><i>n'n</i></sub>. The normalization constant is given by | δ<sub><i>n'n</i></sub>. The normalization constant is given by | ||
:<math> | :<math> | ||
h_n = \left(\frac{1}{\pi}\right)^{1/4}\, \frac{1}{\sqrt{2^n\,n!}}. | N_n \equiv \sqrt{\frac{1}{h_n}} = \left(\frac{1}{\pi}\right)^{1/4}\, \frac{1}{\sqrt{2^n\,n!}}. | ||
</math> | |||
Normalization is to unity | |||
:<math> | |||
N_n^2\; \int_{-\infty}^\infty H_{n}(x)H_n(x)\; e^{-x^2}\, \mathrm{d}x = 1. | |||
</math> | |||
The polynomials ''N''<sub>''n''</sub>''H''<sub>''n''</sub>(''x'') are ''orthonormal'', which means that they are orthogonal and normalized to unity. | |||
==Explicit expression== | |||
:<math> | |||
H_n(x) = n!\, \sum_{m=0}^{\lfloor N/2\rfloor} \; (-1)^{m} \frac{1}{m!(n-2m)!} \, (2x)^{n-2m} | |||
</math> | |||
here <math>\scriptstyle \lfloor N/2\rfloor = N/2</math> if ''N'' even and <math>\scriptstyle \lfloor N/2\rfloor = (N-1)/2</math> if ''N'' odd. | |||
==Recursion relation== | |||
Orthogonal polynomials can be constructed recursively by means of a [[Gram-Schmidt orthogonalization]] pocedure. This procedure yields the following relation | |||
:<math> | |||
H_{n+1}(x)=2xH_n(x)-2nH_{n-1}(x) \;\quad\hbox{with}\quad H_0(x) = 1. | |||
</math> | |||
The first few follow immediately from this relation, | |||
:<math> | |||
H_1 = 2x, \quad H_2 = 4x^2 - 2, \quad H_3 = 8x^3 -12x, \quad \ldots | |||
</math> | |||
==Differential equation== | |||
The polynomials satisfy the Hermite differential equation for the special case that the coefficient of ''H''<sub>''n''</sub>(''x'') is equal to the even integer 2''n'', | |||
:<math> | |||
\frac{d^2 H_n}{dx^2}-2x\,\frac{dH_n}{dx}+ 2n H_n=0. | |||
</math> | |||
==Symmetry== | |||
:<math> | |||
H_n(-x) = (-1)^n H_n(x)\;, | |||
</math> | |||
the functions of even ''n'' are symmetric under ''x'' → −''x'' and those of odd ''n'' are antisymmetric under this substitution. | |||
==Rodrigues' formula== | |||
:<math> | |||
H_n(x)= (-1)^n\, e^{x^2}\frac{d^n}{dx^n}\, e^{-x^2}. | |||
</math> | </math> | ||
==Generating function== | |||
:<math> | |||
e^{2xt}\,e^{-t^2}=\sum_{n=0}^\infty\;H_n(x)\; \frac{t^n}{n!} | |||
</math> | |||
First few terms | |||
:<math> | |||
\left(1 +2xt +\frac{1}{2} (2x)^2 t^2 + \frac{1}{6} (2x)^3 t^3+\cdots\right)\left(1 -t^2 +\cdots\right)= | |||
1 + 2x\; t + (4x^2 -2)\;\frac{t^2}{2} + (8 x^3 -12 x)\; \frac{t^3}{6} + \cdots | |||
</math> | |||
so that | |||
:<math> | |||
H_0 =1, \quad H_1(x) = 2x,\quad H_2(x) = 4x^2-2, \quad H_3(x) = 8x^3-12x. | |||
</math> | |||
==Differential relation== | |||
:<math> | |||
\frac{dH_n(x)}{dx} = 2n H_{n-1}(x). | |||
</math> | |||
==Sum formula== | |||
:<math> | |||
H_n(x+y) = \left(\frac{1}{\sqrt{2}}\right)^n \sum_{k=0}^n \binom{n}{k} \; H_k(\sqrt{2}\,x) \; H_{n-k}(\sqrt{2}\,y), | |||
</math> | |||
where <math>\binom{n}{k} </math> is a [[binomial coefficient]]. | |||
==References== | ==References== | ||
[http://www.math.sfu.ca/~cbm/aands/ | M. Abramowitz and I.A. Stegun (Eds), ''Handbook of Mathematical Functions'', Dover, New York (1972). Chapter 22 | ||
[http://www.math.sfu.ca/~cbm/aands/ Abramowitz and Stegun online] | |||
[http://mathworld.wolfram.com/HermitePolynomial.html Eric W. Weisstein, Hermite Polynomial][[Category:Suggestion Bot Tag]] |
Latest revision as of 11:00, 27 August 2024
In mathematics and physics, Hermite polynomials form a well-known class of orthogonal polynomials. In quantum mechanics they appear as eigenfunctions of the harmonic oscillator and in numerical analysis they play a role in Gauss-Hermite quadrature. The functions are named after the French mathematician Charles Hermite (1822–1901).
- See Addendum for a table of Hermite polynomials through n = 12.
Orthonormality
The Hermite polynomials Hn(x) are orthogonal in the sense of the following inner product:
That is, the polynomials are defined on the full real axis and have weight w(x) = exp(−x²). Their orthogonality is expressed by the appearance of the Kronecker delta δn'n. The normalization constant is given by
Normalization is to unity
The polynomials NnHn(x) are orthonormal, which means that they are orthogonal and normalized to unity.
Explicit expression
here if N even and if N odd.
Recursion relation
Orthogonal polynomials can be constructed recursively by means of a Gram-Schmidt orthogonalization pocedure. This procedure yields the following relation
The first few follow immediately from this relation,
Differential equation
The polynomials satisfy the Hermite differential equation for the special case that the coefficient of Hn(x) is equal to the even integer 2n,
Symmetry
the functions of even n are symmetric under x → −x and those of odd n are antisymmetric under this substitution.
Rodrigues' formula
Generating function
First few terms
so that
Differential relation
Sum formula
where is a binomial coefficient.
References
M. Abramowitz and I.A. Stegun (Eds), Handbook of Mathematical Functions, Dover, New York (1972). Chapter 22