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Hermite Polynomials 📂Numerical Analysis

Hermite Polynomials

Definition

Probabilist’s Hermite Polynomial

Hen:=(1)nex22dndxnex22 H_{e_{n}} := (-1)^{n} e^{{x^2} \over {2}} {{d^{n}} \over {dx^{n}}} e^{- {{x^2} \over {2}}}

Physicist’s Hermite Polynomial

Hn:=(1)nex2dndxnex2 H_{n} := (-1)^{n} e^{x^2} {{d^{n}} \over {dx^{n}}} e^{-x^2}

Basic Properties

Hermite polynomials are used in two forms, having a relationship as shown in Hn(x)=2n2Hen(2x)H_{n} (x) = 2^{{n} \over {2}} H_{e_{n}} \left( \sqrt{2} x \right).

Recurrence Relation

  • [0]: Hn+1(x)=2xHn(x)Hn(X)H_{n+1} (x) = 2x H_{n} (x) - H_{n} ' (X)

Orthogonal Set

  • [1] Inner product of functions: Given the weight for <f,g>:=abf(x)g(x)w(x)dx\displaystyle \left<f, g\right>:=\int_a^b f(x) g(x) w(x) dx as ww, then w(x):=ex2\displaystyle w(x) := e^{-x^2} forms an orthogonal set.

Explanation

The physicist’s Hermite polynomials for n=0,,3n = 0, \cdots , 3 are expressed as follows:

H0(x)=1H1(x)=2xH2(x)=4x22H3(x)=8x312x \begin{align*} H_{0} (x) =& 1 \\ H_{1} (x) =& 2x \\ H_{2} (x) =& 4 x^2 - 2 \\ H_{3} (x) =& 8 x^3 - 12x \end{align*}

The probabilist’s Hermite polynomials are also defined as solutions to the Hermite differential equation y’’xy+2ny=0y’’ - x y ' + 2 n y = 0.

The closed form for the Hermite nodes xkx_{k} that satisfy Hn(xk)=0H_{n} ( x_{k} ) = 0 is unfortunately unknown, and is still being computed numerically.