Fourier transform IV - Derivatives
The Fourier transform and derivatives
We have been slowly analyzing how the Fourier transform interacts with the other operations we can perform on functions, and now it is time to finally ask:
How does the Fourier transform interact with the derivative operator? In other words, how does
Let's begin by making the following assumptions:
- The function
is differentiable and is continuous. - The function
has a Fourier transform, i.e., the integral converges. - The function
"rapidly decays to ", i.e., .
The final assumption is not an unreasonable one if we want the Fourier transform of
Now, by definition we have
Since
Note that in the third equality we used the assumption that
So, under these mild assumptions, we have the very nice property:
Assuming
and so on.
Under some mild assumptions (detailed above), we have the following formula:
In other words, the Fourier transform exchanges differentiation for multiplication by
An enlightening example
Suppose
Applying the Fourier transform then produces the following algebraic equation:
We can easily solve this equation for
In theory, we can now "simply" use the inverse Fourier transform to recover
But this looks like an incredibly difficult integral to compute! Is there anyway to determine
You might recognize the function
We know
If we can figure out how to rewrite the right-hand side as the Fourier transform of a single function, then our equation above tells us
We begin by inserting the integral definitions of the transforms on the right-hand side:
Here we have used different variables of integration for the two integrals, so that we can use the multivariable calculus trick of rewriting the product of those two integrals as a single double integral:
Now we'll make the substitution
Finally, we'll change the order of integration and introduce some visually suggestive parentheses:
If we define a function
then our previous equation suddenly becomes
It follows that
We've accidentally discovered the convolution product!