Kevin McHugh said:
Given the definition:
δ(x) = 0 for all x ≠ 0
∞ for x = 0
∫-∞∞δ(x)dx = 1
I don't understand how the integral can equal unity. The integral from -∞ to zero is zero, and the integral from 0 to ∞ is zero. How can one integrate the discontinuity at zero to equal one? What am I missing? TIA for your insight.
There are two different ways to think of the delta function: (1) As a limit of functions, and (2) as a distribution.
As a limit of functions:
One approach to dealing with the delta function that almost always works is to think of it as an ordinary function that has a parameter, W that in some sense measures how sharp the function is. The delta function is sort of (in a sense to be explained) a limit as W \rightarrow 0
Some examples:
- \delta(x) \approx \frac{1}{W \sqrt{\pi}} e^{-\frac{x^2}{W^2}}
- \delta(x) \approx \frac{1}{\pi} \frac{sin(\frac{x}{W})}{x}
- \delta(x) \approx \frac{1}{2W}, if -W \leq x \leq +W), and zero otherwise.
In all three cases, the function tends to zero when |x| \gg W, and the integral over all space is equal to 1.
These functions don't actually have a limit as W \rightarrow 0, but in most cases of interest, integrals involving those functions do have limits as W \rightarrow 0, so you can solve the problem under the assumption that W is small, but nonzero, and then let W \rightarrow 0 at the end.
As a distribution:
This is the mathematically rigorous way to reason about delta functions.
Let \mathcal{H} be a set of square-integrable complex-valued functions of the real numbers. Then we can say that F is a "distribution" for \mathcal{H} if
- F takes any element of \mathcal{H} and returns a complex number. That is, if f is a function in \mathcal{H}, then F(f) is a complex number.
- F is linear: For any two functions f(x) and g(x), and for any complex number \alpha, if h(x) = f(x) + \alpha g(x), then F(h) = F(f) + \alpha F(g).
So any function satisfying 1 and 2 is a distribution. We can then use integrals to define some particular distributions: For any function \phi in H, there is a corresponding distribution F_\phi defined via:
F_\phi(f) = \int_{-\infty}^{+\infty} \phi^*(x) f(x) dx (where ^* means complex-conjugate)
But there are distributions that don't correspond to any actual function \phi. For example:
F(f) \equiv f(0)
That's a distribution, since it takes any function and returns a complex number, and it's linear. But it doesn't correspond to F_\phi for any actual function \phi. But we can pretend that it is of that form, by writing: F(f) = \int_{-\infty}^{+\infty} \delta(x) f(x) dx. The right-hand side is just suggestive notation; it's not really an integral, although for many purposes, it works as if it were an integral.