orthopolynom (version 1.0-6.1)

jacobi.p.recurrences: Recurrence relations for Jacobi polynomials

Description

This function returns a data frame with \(n + 1\) rows and four named columns containing the coefficient vectors c, d, e and f of the recurrence relations for the order \(k\) Jacobi polynomial, \(P_k^{\left( {\alpha ,\beta } \right)} \left( x \right)\), and for orders \(k = 0,\;1,\; \ldots ,\;n\).

Usage

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

Value

A data frame with the recurrence relation parameters.

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

boolean value which, if TRUE, returns recurrence relations for normalized polynomials

Author

Frederick Novomestky

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.inner.products, pochhammer

Examples

###
### generate the recurrences data frame for 
### the normalized Jacobi P polynomials
### of orders 0 to 10.
### parameter a is 2 and parameter b is 2
###
normalized.r <- jacobi.p.recurrences( 10, 2, 2, normalized=TRUE )
print( normalized.r )
###
### generate the recurrences data frame for 
### the unnormalized Jacobi P polynomials
### of orders 0 to 10.
### parameter a is 2 and parameter b is 2
###
unnormalized.r <- jacobi.p.recurrences( 10, 2, 2, normalized=FALSE )
print( unnormalized.r )