Hermite Polynomials

(redirected from Hermite polynomial)

Hermite polynomials

[er′mēt ‚päl·ə′nō·mē·əlz]
A family of orthogonal polynomials which arise as solutions to Hermite's differential equation, a particular case of the hypergeometric differential equation.
McGraw-Hill Dictionary of Scientific & Technical Terms, 6E, Copyright © 2003 by The McGraw-Hill Companies, Inc.
The following article is from The Great Soviet Encyclopedia (1979). It might be outdated or ideologically biased.

Hermite Polynomials


a special system of polynomials of successively increasing degree. For n = 0,1, 2,..., the Hermite polynomials Hn (x) are defined by the formula

In particular, H0 = 1, H1 = 2x, H2 = 4x2 – 2, H3 = 8x3 – 12x, and H4 = 16x4 – 48x2 + 12.

Hermite polynomials are orthogonal on the entire x-axis with respect to the weight function

e –x2

(seeORTHOGONAL POLYNOMIAL). They satisfy the differential equation

y″ – 2xy′ + 2ny = 0

and the recursion formulas

Hn+1 (x ) – 2xHn (x ) + 2nHn-1 (x ) = 0

H′n(x ) – 2nH–1(x ) = 0

Also sometimes called Hermite polynomials are polynomials that differ from those given above by certain factors dependent on n; sometimes


is used as the weight function. The basic properties of the system were studied by P. L. Chebyshev in 1859 and C. Hermite in 1864.

The Great Soviet Encyclopedia, 3rd Edition (1970-1979). © 2010 The Gale Group, Inc. All rights reserved.
References in periodicals archive ?
The associated function to s(x) on successive intervals [[x.sub.i-1], [x.sub.i]], 1 [less than or equal to] i [less than or equal to] n, with knots from [DELTA], is defined by [s.sub.i](x), that is, a(m - 1)-times continuously differentiable piecewise Hermite polynomial of degree 2m - 1, on I.
where [mathematical expression not reproducible] indicates nth order Hermite polynomial and [??] = (t - [T.sub.f])/[sigma] is the time variable.
(iv) Hermite polynomial with the Gaussian distribution is defined on (-[infinity], + [infinity]).
where [w.sub.0] are the waist width of Hermite-Gaussian beams, [H.sub.m](*) is a Hermite polynomial.
All seven methods use piecewise Hermite polynomial interpolants of nodal values, gradients, and, in the case of the first four methods, second partial derivatives.
When the input uncertainty obeys Gauss distribution, the basis function is the multidimensional Hermite polynomial.
Here, the pth order Hermite basis function is defined using the pth order Hermite polynomial as follows:
with real parameters [[sigma.sub.w], [[mu].sub.w] and the nth Hermite polynomial [h.sub.n].
Pal-type weighted (0, 2; 0) -interpolation on the zeros of Hermite polynomials. Let [{[x.sub.i]}.sup.n.sub.i=1] and [{[[bar.x].sub.i]}.sup.n-1.sub.i=1] be the zeros of [H.sub.n] and [H'.sub.n], respectively, where [H.sub.n] denotes the Hermite polynomial of degree n, for which
(a) approximate u(x) by the Hermite polynomial interpolant p(x) that satisfies the boundary conditions (31);
where x, x' [member of] R and the m-th Hermite polynomial is denoted as [H.sub.m](x) = [(-1).sup.m] [MATHEMATICAL EXPRESSION NOT REPRODUCIBLE IN ASCII] for any m [member of] No.