Polynomial of Hermit

In Mathematical, the polynomials of Hermit are a continuation of Polynôme S which were named thus in the honor of Charles Hermite. They are defined as follows:

H_n (X) = (- 1) ^n e^ {x^2/2} \ frac {d^n} {dx^n} e^ {- x^2/2} (form known as probabilistic )

\ hat H_n (X) = (- 1) ^n e^ {x^2} \ frac {d^n} {dx^n} e^ {- x^2} (form known as physical )

The two definitions are bound by the property of following scale: \ hat H_n (X) = 2^ {n/2} H_n (\ sqrt {2} \, X) \, \! .

The first polynomials of Hermit are the following:

H_0 (X) =1~

H_1 (X) =x~
H_2 (X) =x^2-1~
H_3 (X) =x^3-3x~
H_4 (X) =x^4-6x^2+3~
H_5 (X) =x^5-10x^3+15x~
H_6 (X) =x^6-15x^4+45x^2-15~

\ hat H_0 (X) =1~

\ hat H_1 (X) =2x~
\ hat H_2 (X) =4x^2-2~
\ hat H_3 (X) =8x^3-12x~
\ hat H_4 (X) =16x^4-48x^2+12~
\ hat H_5 (X) =32x^5-160x^3+120x~
\ hat H_6 (X) =64x^6-480x^4+720x^2-120~

One can show that in {H_p} ~ the coefficients of order having the same parity that p-1~ is null and that the coefficients of order p~ and p-2~ are worth respectively 1~ and -p (p-1) /2~.

Orthogonality

H_n is a polynomial of n degree. These polynomials are orthogonal for the measurement \ mu of density

\ frac {D \ driven (X)}{dx} = \ frac {e^ {- x^2/2}} {\ sqrt {2 \ pi}}.

They check:

\ int_ {- \ infty} ^ {+ \ infty} H_n (X) H_m (X) \, e^ {- x^2/2} \, dx=n! \ sqrt {2 \ pi} ~ \ delta_ {Nm}

where \ delta_ {Nm} is the Symbole of Kronecker. These functions thus form an orthogonal base of the Espace of Hilbert L_2 (\ mathbb C, \ driven) of the functions boréliennes such as:

\ int_ {- \ infty} ^ {+ \ infty} F (X) ^2 \, \ frac {e^ {- x^2/2}} {\ sqrt {2 \ pi}} \, dx< + \ infty,

in which the scalar Produit is given by the integral

\ langle F, G \ rangle= \ int_ {- \ infty} ^ {+ \ infty} F (X) \ overline {G (X)}\, \ frac {e^ {- x^2/2}} {\ sqrt {2 \ pi}} \, dx.

Similar properties are verifiable for the polynomials of Hermit under their physical shape.

Various properties

The n-ième polynomial of Hermit satisfies the differential equation following (in its two versions probabilist or physics):

H_n (X) - xH_n' (X) +nH_n (X) =0. \,

\ hat H_n (X) - 2x \ hat H_n' (X) +2n \ hat H_n (X) =0. \,

The polynomials satisfy the property

H_n' (X) =nH_ {n-1} (X), \,

\ hat H_n' (X) = 2n \ hat H_ {n-1} (X), \,

that one can write thus

H_n (x+y) = \ sum_ {k=0} ^n {N \ choose K} x^k H_ {n-k} (there)

\ hat H_n (x+y) = \ sum_ {k=0} ^n {N \ choose K} (2x) ^k \ hat H_ {n-k} (there)

They thus check the relation of following recurrence:

H_ {n+1} (X) = xH_ {N} (X) - nH_ {n-1} (X), \,

\ hat H_ {n+1} (X) = 2x \ hat H_ {N} (X) - 2n \ hat H_ {n-1} (X). \,

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