Graphics Programs Reference
In-Depth Information
Orthogonal Polynomials
Orthogonal polynomials areemployed in many areasofmathematics and numerical
analysis. They have been studied thoroughly andmany of their properties areknown.
What follows is avery small compendium of a largetopic.
The polynomials
( n is the degree of the polynomial) aresaid
to form an orthogonal set in the interval( a
ϕ n ( x ), n
=
0
,
1
,
2
,...
,
b ) with respect to the weighting function
w ( x ) if
b
w ( x )
ϕ m ( x )
ϕ n ( x ) dx
=
0, m
=
n
(6.18)
a
The set is determined,exceptforaconstantfactor, by the choice of the weighting func-
tion and the limits of integration. That is, each set of orthogonal polynomials is asso-
ciatedwith certain w ( x ), a and b . The constantfactorisspecifiedbystandardization.
Some of the classicalorthogonal polynomials, namedafterwell-known mathemati-
cians, arelistedinTable 6.1. The last column in the table shows the standardization
used.
a w ( x ) ϕ n ( x ) 2 dx
Name
Symbol
a
b
w ( x )
Legendre
p n ( x )
1
1
1
2
/
(2 n
+
1)
x 2 ) 1 / 2
Chebyshev
T n ( x )
1
1
(1
π/
2 ( n
>
0)
e x
Laguerre
L n ( x )
0
1
π
e x 2
2 n n !
Hermite
H n ( x )
−∞
Table 6.1
Orthogonal polynomials obeyrecurrence relations of the form
a n ϕ n + 1 ( x )
=
( b n +
c n x )
ϕ n ( x )
d n ϕ n 1 ( x )
(6.19)
If the first two polynomials of the set areknown, the othermembers of the set can be
computed fromEq. (6.19). The coefficients in the recurrence formula,togetherwith
ϕ 0 ( x ) and
ϕ 1 ( x ), are giveninTable 6.2.
Name
ϕ 0 ( x )
ϕ 1 ( x )
a n
b n
c n
d n
+
+
Legendre
1
x
n
1
0
2 n
1
n
Chebyshev
1
x
1
0
2
1
Laguerre
1
1
x
n
+
1
2 n
+
1
1
n
Hermite
1
2 x
1
0
2
2
Table 6.2
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