orthogonal.polynomials: Create orthogonal polynomials

In orthopolynom: Collection of Functions for Orthogonal and Orthonormal Polynomials

Create orthogonal polynomials

Description

Create list of orthogonal polynomials from the following recurrence relations for k = 0,\;1,\; … ,\;n.

c_k p_{k+1}≤ft( x \right) = ≤ft( d_k + e_k x \right) p_k ≤ft( x \right) - f_k p_{k-1} ≤ft( x \right)

We require that p_{-1} ≤ft( x \right) = 0 and p_0 ≤ft( x \right) = 1. The coefficients are the column vectors {\bf{c}}, {\bf{d}}, {\bf{e}} and {\bf{f}}.

Usage

orthogonal.polynomials(recurrences)

Arguments

recurrences

a data frame containing the parameters of the orthogonal polynomial recurrence relations

Details

The argument is a data frame with n + 1 rows and four named columns. The column names are c, d, e and f. These columns correspond to the column vectors described above.

Value

A list of n + 1 polynomial objects

1	Order 0 orthogonal polynomial
2	Order 1 orthogonal polynomial

...

n+1	Order n orthogonal 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.

Press, W. H., S. A. Teukolsky, W. T. Vetterling, and B. P. Flannery, 1992. Numerical Recipes in C, Cambridge University Press, Cambridge, U.K.

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

Examples

###
### generate the recurrence relations for T Chebyshev polynomials of orders 0 to 10
###
r <- chebyshev.t.recurrences( 10, normalized=FALSE )
print( r )
###
### generate the list of orthogonal polynomials
###
p.list <- orthogonal.polynomials( r )
print( p.list )

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