Efficient application of the Voigt functions in the Fourier transform
arXiv:2504.21003 · doi:10.3390/math13132048
Abstract
In this work, we develop a method for rational approximation of the Fourier transform (FT) based on the real and imaginary parts of the complex error function \[ w(z) = e^{-z^2}(1 - {\rm{erf}}(-iz)) = K(x,y) + iL(x,y), \qquad z = x + iy, \] where and are known as the Voigt and imaginary Voigt functions, respectively. In contrast to our previous rational approximation of the FT, the expansion coefficients in this method are not dependent on the values of a sampled function. As the values of the Voigt functions remain the same, this approach can be used for rapid computation with help of look-up tables. Mathematica codes with some examples are presented.
35 pages, 10 figures
References in corpus (5)
- A rational approximation of the Dawson's integral for efficient computation of the complex error function
- Sampling by incomplete cosine expansion of the sinc function: application to the Voigt/complex error function
- The Voigt and complex error function: Humlíček's rational approximation generalized
- A sampling-based approximation of the complex error function and its implementation without poles
- A new application methodology of the Fourier transform for rational approximation of the complex error function