Skip to content

RodriguesFormula

Stephen Crowley edited this page Nov 4, 2023 · 1 revision

Rodrigues' Formula and Orthogonal Polynomials

Rodrigues' formula is a mathematical expression that provides an efficient way to generate certain orthogonal polynomials. Orthogonal polynomials play a pivotal role in various branches of mathematics, including approximation theory, differential equations, and even quantum mechanics.

What is Rodrigues' Formula?

For a given differential operator D and weight function w(x), the Rodrigues' formula for an orthogonal polynomial P_n(x) is given by:

[ P_n(x) = \frac{1}{w(x) n!} D^n [w(x) f(x)] ]

Here, n denotes the order of the polynomial, and f(x) is a function specific to the type of orthogonal polynomial under consideration.

Examples:

  1. Legendre Polynomials: The Rodrigues' formula for the Legendre polynomials P_n(x) is:

[ P_n(x) = \frac{1}{2^n n!} \frac{d^n}{dx^n} (x^2 - 1)^n ]

  1. Hermite Polynomials: The Hermite polynomials H_n(x) are described by:

[ H_n(x) = (-1)^n e^{x^2} \frac{d^n}{dx^n} e^{-x^2} ]

In both examples, differentiation acts as an iterated linear function to generate the nth polynomial in the sequence.

Connection to Linear Iterated Functions Systems (L.I.F.S.)

The study of orthogonal polynomials can be extended to consider measures generated by Linear Iterated Functions Systems, or L.I.F.S. This is a more advanced topic, delving into the interplay between orthogonal polynomials and iterative linear processes, especially in the context of Fourier analysis.

In more advanced research, like the paper by Giorgio Mantica and Davide Guzzetti, the authors explore the asymptotic behavior of the Fourier transforms of orthogonal polynomials, relating them to measures generated by L.I.F.S.

Conclusion

The Rodrigues' formula serves as a foundation for understanding and generating orthogonal polynomials. As mathematics advances, the interplay between these polynomials, linear iterated systems, and Fourier analysis continues to offer rich areas for exploration and discovery.

Clone this wiki locally