Associated Legendre functions
Syntax
P
=
legendre(n,X)
S = legendre(n,X,'sch')
Definition
The Legendre functions are defined by:

where 
is the Legendre polynomial of degree n:
The Schmidt seminormalized associated Legendre functions are related to the nonnormalized associated Legendre functions 
by:
Description
P = legendre(n,X)
computes the associated Legendre functions of degree n
and order m = 0,1,...,n
, evaluated at X
. Argument n
must be a scalar integer less than 256, and X
must contain real values in the domain
The returned array P
has one more dimension than X
, and each element P(m+1,d1,d2...)
contains the associated Legendre function of degree n
and order m
evaluated at X(d1,d2...)
.
If X
is a vector, then P
is a matrix of the form:

S = legendre(...,'sch')
computes the Schmidt seminormalized associated Legendre functions
.
Examples
The statement legendre(2,0:0.1:0.2)
returns the matrix:
|
x = 0
|
x = 0.1
|
x = 0.2
|
m = 0
|
0.5000
|
0.4850
|
0.4400
|
m = 1
|
0
|
0.2985
|
0.5879
|
m = 2
|
3.0000
|
2.9700
|
2.8800
|
Note that this matrix is of the form shown at the bottom of the previous page.
Given,
X = rand(2,4,5); N = 2;
P = legendre(N,X)
Then size(P)
is 3-by-2-by-4-by-5, and P(:,1,2,3)
is the same as legendre(n,X(1,2,3))
.
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