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Sinc FunctionIn mathematics, the sinc function, also known as the interpolation function, filtering function or the first spherical Bessel function , is the product of a sine function and a monotonically decreasing function. It is defined by: -
= \left\{ \begin{matrix} \frac{\sin(x)}{x}&:~x\ne 0 \\ \\ 1 &:~x=0 \end{matrix} \right. The sinc function is sometimes defined as simply sin(x)/x. The function sin(x)/x has a removable singularity at zero, so that, by L'Hpital's rule we have: -
The above definition for the sinc function is preferred since it removes this singularity and yields a function which is analytic everywhere. The normalized sinc function is defined as: -
and, as its name implies, is normalized to unity -
This integral must necessarily be regarded as an improper integral; it cannot be taken to be a Lebesgue integral because -
The normalized sinc function also has the important infinite product -
We also have an expression in terms of the gamma function, as -
Because of its usefulness, the normalized sinc function is sometimes simply called the sinc function and written sinc(x). The sinc function oscillates inside an envelope of ±1/x. The Fourier transform of the sinc function can be expressed in terms of the rectangular function: -
\sqrt{\frac{\pi}{2}}~\textrm{rect}(k/2) In the language of distributions, the sinc function is related to the delta function δ(x) by -
This is not an ordinary limit, since the left side does not converge. Rather, it means that -
=\int_{-\infty}^\infty\delta(x)\varphi(x)\,dx = \varphi(0), for any smooth function with compact support. In the above expression, as a approaches zero, the number of oscillations per unit length of the sinc function approaches infinity. Nevertheless, the sinc function always oscillates inside an envelope of ±1/x, regardless of the value of a. This contradicts the informal picture of δ(x) as being zero for all x except at the point x=0 and illustrates the problem of thinking of the delta function as a function rather than as a distribution. A similar situation is found in the Gibbs phenomenon. Applications of the sinc function are found in communication theory, control theory, and optics. See also
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