A Laplace transform of a function
is defined by the equation
The idea is that a Laplace transform takes as an input a function of ,
, and yields as the output a function of
,
.
In many applications of this idea, for example when applying a Laplace transform to the solution of a differential equation, we need to find the inverse of the transform to obtain the required solution. This can often be done by consulting tables of Laplace transforms and their inverses in reference manuals, but we can also invert Laplace transforms using something called the Bromwich integral. I want to explore the latter approach in this note, as it involves the useful trick of solving integrals by converting them to contour integration problems on the complex plane. I also want to record a useful trick for changing the order of integration in double integrals which is employed in the proof of a convolution theorem for Laplace transforms.
Differential equations can be solved using Laplace transforms by finding the transforms of derivatives ,
, etc. To find
, we use the above definition of
and integrate by parts as follows:
where for simplicity we have written and
.
To find , we think of
as
and substitute
for
in (2) to get
Continuing this process, we can also obtain the transforms of higher derivatives. Using these results, we can now solve differential equations. For example, suppose we want to solve
with initial conditions and
. We simply take the Laplace transform of each term in the equation. We get
Using the given initial conditions, the left-hand side of (5) reduces to . We can obtain the Laplace transform on the right-hand side of (5) by consulting a reference table, or by integrating. Following the latter approach, we integrate by parts once to get
and then integrate by parts again to get
Combining these, we get
Alternatively, from standard reference tables we find that
Therefore
Using these results in (5) we get
and so
Recall that , so what we need to do now to solve the problem is to apply an inverse Laplace transform to both sides of (7). This would give
We could evaluate the right-hand side of (8) using the formula from the reference table in (6). We see from this formula that we need ,
, so we can immediately conclude that
This is the required solution to the second-order differential equation in (4) above. What I want to do now is explore the Bromwich integral for Laplace transforms, and use it to confirm the answer in (9) by obtaining the inverse Laplace transform of via the residue theorem from complex analysis.
In the definition of the Laplace transform in (1) above, we now let be a complex number, say
. Then the Laplace transform becomes
where for some real
. [We must have some restriction on
to make the integral converge at infinity. The restriction depends on what the function
is, but it is always of the form
for some real
. To illustrate this idea, consider the case
. Then we have
The final equality here holds only for , because otherwise
would not vanish at the upper limit of the integral. If
is complex, then
would be required in this case]. Now, (10) has a form similar to that of a Fourier transform
with inverse
in (10) corresponds to
in (11), and
in (11) corresponds to
in (10). Pursuing this analogy with a Fourier transform, the inverse transform for (10), corresponding to (12), would then be
Using the definition of , we can write this as
for . Since
is a constant in this setup, we have
, so we can write (14) as
where the notation means that we integrate along a vertical line in the
plane. [This can be any vertical line on which
as required by the restriction on
]. The integral (15) for the inverse Laplace transform is called the Bromwich integral.
To use (15) to evaluate for a given
, we exploit the fact that we can evaluate integrals in the complex plane by using the residue theorem. We imagine a contour consisting of a vertical straight line and a semicircle enclosing an area to the left of
. We evaluate (15) by using this contour.

We restrict to be of the form
, with
and
polynomials, and
of degree at least one higher than
. The value of the integral around the contour is determined by the singularities lying inside the semicircle, in accordance with the residue theorem. Specifically, the residue theorem says that the integral around the contour equals
times the sum of the residues of
at its poles. As the radius of the semicircle goes to infinity, the integral along the straight line becomes an improper integral from
to
. However, the integral around the semicircle has the radius appearing to a higher degree in the denominator than in the numerator, so this integral goes to zero as the radius becomes infinite. We are left only with the improper integral along the straight line, and the residue theorem then assures us that this must equal
times the sum of the residues of
at its poles . Cancelling the factor
from (15), we conclude that
So, to find from the Laplace transform
, we simply construct the complex function
, and then sum the residues at all the poles of this constructed function. Note that we must include all poles in (16), i.e., we must choose
such that all the poles of
lie inside the contour to the left of the vertical line we are integrating along. To find the residues at each pole, we can use the following rule:
When a function has a pole of order
at
, the residue at this pole can be obtained by multiplying
by
, differentiating the result
times, dividing by
, and evaluating the resulting expression at
.
We can now apply this approach to find the inverse of the transform
We have
This has a pole of order 5 at . Therefore, multiplying by
we get
, differentiating this result
times we get
, and dividing by
we get
. Finally, evaluating the result at
gives the answer
which exactly matches the answer we got in (9) above.
We also have a convolution theorem for Laplace transforms, the proof of which I want to explore here. The convolution theorem says that the Laplace transform of a convolution of functions is the product of the Laplace transforms of the individual functions in the convolution. So, if and
are functions, and
and
are their corresponding Laplace transforms, then the convolution theorem says
where
is the convolution of and
. To prove (17), note that from the definition of a Laplace transform in (1) above we have
We will now rewrite this by replacing by different dummy variables of integration so that we can write the product of the two integrals as a double integral. We then have
We now make the change of variables in the inner integral in (19), i.e., the integral with respect to
, so that
is treated as fixed. Then
,
, and when
we have
, while when
we have
. Then (19) becomes
We will now change the order of integration using the following diagrams to interpret what is going on in (20):

From the first diagram, we see that the double integral in (20) is over the area to the right of the diagonal line. Within a given strip of width
, the
integral adds up little area elements from the line
to
, then the
integral sums over the horizontal strips from
to
, covering the whole infinite area to the right of the diagonal line. However, we can obtain exactly the same result by considering a vertical strip of width
as shown in the second diagram. Changing the order of integration and integrating with respect to
first, then within the given strip of width
, the
integral adds up little area elements from
to the line
, and then the
integral sums over the vertical strips from
to
. In doing things this way round, we are working with the double integral
where the last step follows from the definition of a Laplace transform in (1) above. As per the construction in the diagrams, the two integrals (20) and (21) must be the same, so the convolution theorem in (17) is proved. The proof is useful in showing how a double infinite integral can be converted into a double integral in which only one of the integrals is improper, and vice versa. I have come across the need for this technique in different contexts.
