The Dirac delta is very useful as an approximation for tall narrow spike functions. It is the same type of abstraction as a point charge, point mass or electron point. For example, in calculating the dynamics of a baseball being hit by a bat, approximating the force of the bat hitting the baseball by a delta function is a helpful trick. In doing so, one not only simplifies the equations, but one also is able to calculate the motion of the baseball by only considering the total impulse of the bat against the ball rather than requiring knowledge of the details of how the bat transferred energy to the ball.
The Dirac delta is often introduced with the property:
= f(0)</math>
valid for any continuous function f.
However, there is no function δ(x) with this property. Technically speaking, the Dirac delta is not a function but a distribution which is a mathematical expression that is well defined only when integrated. As a distribution, the Dirac delta is defined by
The Dirac delta distribution is the derivative of the Heaviside step function,
= \left\{ \begin{matrix} 0 : x < 0 \\ 1 : x \ge 0 \end{matrix} \right. </math>
if one defines the term "derivative" in the proper, distributiontheoretic sense. (Using the ordinary definition of derivative from calculus, H(x) is not differentiable for x = 0.)
The Fourier transform of the Dirac delta is the constant function 1, and the convolution of δ with any distribution S yields S.
The derivative of the Dirac delta is the distribution δ' defined by
for every test function φ. The nth derivative δ^{(n)} is given by
The derivatives of the Dirac delta are important because they appear in the Fourier transforms of polynomials.
Interestingly, the delta function is also given by the identity:
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