Gaussian function
From Wikipedia, the free encyclopedia
A Gaussian function (named after Carl Friedrich Gauss) is a function of the form:
- <math>f(x) = a e^{-(x-b)^2/c^2}</math>
for some real constants a > 0, b, and c.
Gaussian functions with c2 = 2 are eigenfunctions of the Fourier transform. This means that the Fourier transform of a Gaussian function is not only another Gaussian function but a scalar multiple of the function whose Fourier transform was taken.
Gaussian functions are among those functions that are elementary but lack elementary antiderivatives. Nonetheless their improper integrals over the whole real line can be evaluated exactly (see Gaussian integral):
- <math>\int_{-\infty}^\infty e^{-ax^2}\,dx=\sqrt{\frac{\pi}{a}}.</math>
[edit] Applications
The antiderivative of the Gaussian function is the error function.
Gaussian functions appear in many contexts in the natural sciences, the social sciences, mathematics, and engineering. Some examples include:
- In statistics and probability theory, Gaussian functions appear as the density function of the normal distribution, which is a limiting probability distribution of complicated sums, according to the central limit theorem.
- A Gaussian function is the wave function of the ground state of the quantum harmonic oscillator.
- The molecular orbitals used in computational chemistry are linear combinations of Gaussian functions called Gaussian orbitals (see also basis set (chemistry)).
- Mathematically, the Gaussian function plays an important role in the definition of the Hermite polynomials.
- Consequently, Gaussian functions are also associated with the vacuum state in quantum field theory.
- Gaussian beams are used in optical and microwave systems,
- Gaussian functions are used as pre-smoothing kernels in image processing (see scale space representation).
[edit] See also
Lorentzian function, normal distributiones:Función gaussiana fr:Fonction gaussienne ko:가우스 함수 it:Funzione gaussiana nl:Gaussfunctie zh:高斯函数
