jacobi.p.polynomials: Create list of Jacobi polynomials

In orthopolynom: Collection of Functions for Orthogonal and Orthonormal Polynomials

Create list of Jacobi polynomials

Description

This function returns a list with n + 1 elements containing the order k Jacobi polynomials, P_k^{≤ft( {α ,β } \right)} ≤ft( x \right), for orders k = 0,\;1,\; … ,\;n.

Usage

jacobi.p.polynomials(n, alpha, beta, normalized=FALSE)

Arguments

n	integer value for the highest polynomial order
alpha	numeric value for the first polynomial parameter
beta	numeric value for the second polynomial parameter
normalized	a boolean value which, if TRUE, returns a list of normalized orthogonal polynomials

Details

The function jacobi.p.recurrences produces a data frame with the recurrence relation parameters for the polynomials. If the normalized argument is FALSE, the function orthogonal.polynomials is used to construct the list of orthogonal polynomial objects. Otherwise, the function orthonormal.polynomials is used to construct the list of orthonormal polynomial objects.

Value

A list of n + 1 polynomial objects

1	order 0 Jacobi polynomial
2	order 1 Jacobi polynomial

...

n+1	order n Chebyshev polynomial

Author(s)

Frederick Novomestky [e-mail]

References

Abramowitz, M. and I. A. Stegun, 1968. Handbook of Mathematical Functions with Formulas, Graphs, and Mathematical Tables, Dover Publications, Inc., New York.

Courant, R., and D. Hilbert, 1989. Methods of Mathematical Physics, John Wiley, New York, NY.

Szego, G., 1939. Orthogonal Polynomials, 23, American Mathematical Society Colloquium Publications, Providence, RI.

See Also

jacobi.p.recurrences, orthogonal.polynomials, orthonormal.polynomials

Examples

###
### gemerate a list of normalized Jacobi P polynomials of orders 0 to 10
### first parameter value a is 2 and second parameter value b is 2
###
normalized.p.list <- jacobi.p.polynomials( 10, 2, 2, normalized=TRUE )
print( normalized.p.list )
###
### gemerate a list of unnormalized Jacobi P polynomials of orders 0 to 10
### first parameter value a is 2 and second parameter value b is 2
###
unnormalized.p.list <- jacobi.p.polynomials( 10, 2, 2, normalized=FALSE )
print( unnormalized.p.list )

orthopolynom documentation built on Oct. 3, 2022, 5:08 p.m.