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3104 Green's Formula, Laplace Transform of Convolution

Green's Formula in Time and Frequency

When we studied convolution we learned Green's formula. This says, the IVP has solution $$x(t)=(wf)(t), \text{ where is the weight function.}\tag{2}$$ (Remember, the weight function is the same as the unit impulse response.)
The Laplace transform changes these equations to ones in the frequency variable . where is the transfer function.
Equation is
Green's formula in time and is Green's formula in frequency*. In words, viewed from the side, the solution to is the convolution of the weight function and the input. Viewed from the side, the solution is the product of the transfer function and the input.

Convolution

Comparing equations and we see that It appears that Laplace transforms convolution into multiplication. Technically, equation only applies when one of the functions is the weight function, but the formula holds in general.
Theorem: For any two functions and with Laplace transforms and we have Remarks: 1. This theorem gives us another way to prove convolution is commutative. It is just the commutivity of regular multiplication on the -side. 2. In fact, the theorem helps solidify our claim that convolution is a type of multiplication, because viewed from the frequency side it is multiplication.
Proof: The proof is a nice exercise in switching the order of integration. We won't use and in the integrals, since they would just clutter the exposition. It is an amusing exercise to put them in and see that they transform correctly as we manipulate the integrals.
We start by writing as the convolution integral followed by the Laplace integral.
$$$$

Integration Rule

If differentiation on the time side leads to multiplication by on the frequency side then we should expect integration in time to lead to division by . If is a function with Laplace transform then the integration rule states: Proof: One way to prove this is using the -derivative rule. Let/s be clever and use convolution instead. The integral is exactly . Thus, This is what we needed to show.