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RodriguesFormula
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.
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.
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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 ]
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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.
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.
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.