the latter of which is sometimes referred to as thenormalized sinc function. The only difference between the two definitions is in the scaling of theindependent variable (thex axis) by a factor ofπ. In both cases, the value of the function at theremovable singularity at zero is understood to be the limit value 1. The sinc function is thenanalytic everywhere and hence anentire function.
The function itself was first mathematically derived in this form byLord Rayleigh in his expression (Rayleigh's formula) for the zeroth-order sphericalBessel function of the first kind.
Thesinc function is also called thecardinal sine function.
In either case, the value atx = 0 is defined to be the limiting value for all reala ≠ 0 (the limit can be proven using thesqueeze theorem).
Thenormalization causes thedefinite integral of the function over the real numbers to equal 1 (whereas the same integral of the unnormalized sinc function has a value ofπ). As a further useful property, the zeros of the normalized sinc function are the nonzero integer values ofx.
The function has also been called thecardinal sine orsine cardinal function.[3][4] The term "sinc" is a contraction of the function's full Latin name, thesinus cardinalis[5] and was introduced byPhilip M. Woodward and I.L Davies in their 1952 article "Information theory andinverse probability in telecommunication", saying "This function occurs so often in Fourier analysis and its applications that it does seem to merit some notation of its own".[6] It is also used in Woodward's 1953 bookProbability and Information Theory, with Applications to Radar.[5][7]
The local maxima and minima (small white dots) of the unnormalized, red sinc function correspond to its intersections with the bluecosine function.
Thezero crossings of the unnormalized sinc are at non-zero integer multiples ofπ, while zero crossings of the normalized sinc occur at non-zero integers.
The local maxima and minima of the unnormalized sinc correspond to its intersections with thecosine function. That is,sin(ξ)/ξ = cos(ξ) for all pointsξ where the derivative ofsin(x)/x is zero and thus a local extremum is reached. This follows from the derivative of the sinc function:
The first few terms of the infinite series for thex coordinate of then-th extremum with positivex coordinate are[citation needed]whereand where oddn lead to a local minimum, and evenn to a local maximum. Because of symmetry around they axis, there exist extrema withx coordinates−xn. In addition, there is an absolute maximum atξ0 = (0, 1).
The normalized sinc function has a simple representation as theinfinite product:
The cardinal sine function sinc(z) plotted in the complex plane from -2-2i to 2+2i
λ sinc(λx) (not normalized) is one of two linearly independent solutions to the linearordinary differential equation The other iscos(λx)/x, which is not bounded atx = 0, unlike its sinc function counterpart.
Using normalized sinc,
The following improper integral involves the (not normalized) sinc function:
This is not an ordinary limit, since the left side does not converge. Rather, it means that
for everySchwartz function, as can be seen from theFourier inversion theorem.In the above expression, asa → 0, the number of oscillations per unit length of the sinc function approaches infinity. Nevertheless, the expression always oscillates inside an envelope of±1/πx, regardless of the value ofa.
This complicates the informal picture ofδ(x) as being zero for allx except at the pointx = 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 theGibbs phenomenon.
We can also make an immediate connection with the standard Dirac representation of by writing and
which makes clear the recovery of the delta as an infinite bandwidth limit of the integral.
The product of 1-D sinc functions readily provides amultivariate sinc function for the square Cartesian grid (lattice):sincC(x,y) = sinc(x) sinc(y), whoseFourier transform is theindicator function of a square in the frequency space (i.e., the brick wall defined in 2-D space). The sinc function for a non-Cartesianlattice (e.g.,hexagonal lattice) is a function whoseFourier transform is theindicator function of theBrillouin zone of that lattice. For example, the sinc function for the hexagonal lattice is a function whoseFourier transform is theindicator function of the unit hexagon in the frequency space. For a non-Cartesian lattice this function can not be obtained by a simpletensor product. However, the explicit formula for the sinc function for thehexagonal,body-centered cubic,face-centered cubic and other higher-dimensional lattices can be explicitly derived[13] using the geometric properties of Brillouin zones and their connection tozonotopes.
^Woodward, Phillip M. (1953).Probability and information theory, with applications to radar. London: Pergamon Press. p. 29.ISBN978-0-89006-103-9.OCLC488749777.{{cite book}}:ISBN / Date incompatibility (help)
^Euler, Leonhard (1735). "On the sums of series of reciprocals".arXiv:math/0506415.
Stenger, Frank (1993).Numerical Methods Based on Sinc and Analytic Functions. Springer Series on Computational Mathematics. Vol. 20. Springer-Verlag New York, Inc.doi:10.1007/978-1-4612-2706-9.ISBN9781461276371.