# Gegenbauer transform

The integral transform $T \{ F( t) \}$ of a function $F( t)$,

$$T \{ F ( t) \} = \ \int\limits _ { - } 1 ^ { + } 1 ( 1 - t ^ {2} ) ^ {\rho - 1/2 } C _ {n} ^ \rho ( t) F ( t) dt = f _ {n} ^ { \rho } ,$$

$$\rho > - \frac{1}{2} ,\ n = 0, 1 , . . . .$$

Here $C _ {n} ^ \rho$ are the Gegenbauer polynomials. If a function can be expanded into a generalized Fourier series by Gegenbauer polynomials, the following inversion formula is valid:

$$F ( t) = \sum _ {n = 0 } ^ \infty \frac{n! ( n + \rho ) \Gamma ^ {2} ( \rho ) 2 ^ {2 \rho - 1 } }{\pi \Gamma ( n + 2 \rho ) } C _ {n} ^ \rho ( t) f _ {n} ^ { \rho } ,\ \ - 1 < t < 1.$$

The Gegenbauer transform reduces the differentiation operation

$$R [ F ( t)] = \ ( 1 - t ^ {2} ) F ^ { \prime\prime } - ( 2 \rho - 1) tF ^ { \prime\prime }$$

to the algebraic operation

$$T \{ R [ F ( t)] \} = - n ( n + 2 \rho ) f _ {n} ^ { \rho } .$$

#### References

 [1] V.A. Ditkin, A.P. Prudnikov, "Operational calculus" Progress in Math. , 1 (1968) pp. 1–75 Itogi Nauk. Ser. Mat. Anal. 1966 (1967) pp. 7–82

in Fourier series in orthogonal polynomials. The Gegenbauer transform (and, more generally, the Jacobi transform) has been considered for arguments $n$ which are arbitrarily complex. Then inversion formulas exist in the form of integrals and there is a relationship with sampling theory, cf. [a1], [a2].