Note: 1.5–2 lectures, §10.1 in [EP], §6.1 and parts of §6.2 in [BD]

Subsection6.1.1The transform

In this chapter we will discuss the Laplace transform^{ 1 }

Just like the Laplace equation and the Laplacian, the Laplace transform is also named after Pierre-Simon, marquis de Laplace (1749–1827).

. The Laplace transform is a very efficient method to solve certain ODE or PDE problems. The transform takes a differential equation and turns it into an algebraic equation. If the algebraic equation can be solved, applying the inverse transform gives us our desired solution. The Laplace transform also has applications in the analysis of electrical circuits, NMR spectroscopy, signal processing, and elsewhere. Finally, understanding the Laplace transform will also help with understanding the related Fourier transform, which, however, requires more understanding of complex numbers. We will not cover the Fourier transform.

The Laplace transform also gives a lot of insight into the nature of the equations we are dealing with. It can be seen as converting between the time and the frequency domain. For example, take the standard equation

\begin{equation*}
m x''(t) + c x'(t) + k x(t) = f(t) .
\end{equation*}

We can think of \(t\) as time and \(f(t)\) as incoming signal. The Laplace transform will convert the equation from a differential equation in time to an algebraic (no derivatives) equation, where the new independent variable \(s\) is the frequency.

We can think of the Laplace transform as a black box. It eats functions and spits out functions in a new variable. We write \(\mathcal{L} \bigl\{ f(t) \bigr\} = F(s)\) for the Laplace transform of \(f(t)\text{.}\) It is common to write lower case letters for functions in the time domain and upper case letters for functions in the frequency domain. We use the same letter to denote that one function is the Laplace transform of the other. For example, \(F(s)\) is the Laplace transform of \(f(t)\text{.}\) Let us define the transform.

We note that we are only considering \(t \geq 0\) in the transform. Of course, if we think of \(t\) as time there is no problem, we are generally interested in finding out what will happen in the future (Laplace transform is one place where it is safe to ignore the past). Let us compute some simple transforms.

A common function is the unit step function, which is sometimes called the Heaviside function^{ 2 }

The function is named after the English mathematician, engineer, and physicist Oliver Heaviside (1850–1925). Only by coincidence is the function “heavy” on “one side.”

Let us find the Laplace transform of \(u(t-a)\text{,}\) where \(a \geq 0\) is some constant. That is, the function that is 0 for \(t < a\) and 1 for \(t \geq a\text{.}\)

Since the transform is defined by an integral. We can use the linearity properties of the integral. For example, suppose \(C\) is a constant, then

\begin{equation*}
\mathcal{L} \bigl\{ C f(t) \bigr\} =
\int_0^\infty e^{-st} C f(t) \,dt =
C \int_0^\infty e^{-st} f(t) \,dt =
C \mathcal{L} \bigl\{ f(t) \bigr\} .
\end{equation*}

So we can “pull out” a constant out of the transform. Similarly we have linearity. Since linearity is very important we state it as a theorem.

Theorem6.1.1.Linearity of the Laplace transform.

Suppose that \(A\text{,}\)\(B\text{,}\) and \(C\) are constants, then

\begin{equation*}
\mybxbg{~~
\mathcal{L} \bigl\{ A f(t) + B g(t) \bigr\} =
A \mathcal{L} \bigl\{ f(t) \bigr\} +
B \mathcal{L} \bigl\{ g(t) \bigr\} ,
~~}
\end{equation*}

and in particular,

\begin{equation*}
\mathcal{L} \bigl\{ C f(t) \bigr\} =
C \mathcal{L} \bigl\{ f(t) \bigr\} .
\end{equation*}

Exercise6.1.2.

Verify the theorem. That is, show that \(\mathcal{L} \bigl\{ A f(t) + B g(t) \bigr\} =
A \mathcal{L} \bigl\{ f(t) \bigr\} +
B \mathcal{L} \bigl\{ g(t) \bigr\}\text{.}\)

These rules together with Table 6.1 make it easy to find the Laplace transform of a whole lot of functions already. But be careful. It is a common mistake to think that the Laplace transform of a product is the product of the transforms. In general

It must also be noted that not all functions have a Laplace transform. For example, the function \(\frac{1}{t}\) does not have a Laplace transform as the integral diverges for all \(s\text{.}\) Similarly, \(\tan t\) or \(e^{t^2}\) do not have Laplace transforms.

Subsection6.1.2Existence and uniqueness

When does the Laplace transform exist? A function \(f(t)\) is of exponential order as \(t\) goes to infinity if

\begin{equation*}
\lvert f(t) \rvert \leq M e^{ct} ,
\end{equation*}

for some constants \(M\) and \(c\text{,}\) for sufficiently large \(t\) (say for all \(t > t_0\) for some \(t_0\)). The simplest way to check this condition is to try and compute

If the limit exists and is finite (usually zero), then \(f(t)\) is of exponential order.

Exercise6.1.3.

Use L’Hopital’s rule from calculus to show that a polynomial is of exponential order. Hint: Note that a sum of two exponential order functions is also of exponential order. Then show that \(t^n\) is of exponential order for any \(n\text{.}\)

For an exponential order function we have existence and uniqueness of the Laplace transform.

Theorem6.1.2.Existence.

Let \(f(t)\) be continuous on the interval \([0,\infty)\) and of exponential order for a certain constant \(c\text{.}\) Then \(F(s) = \mathcal{L} \bigl\{ f(t) \bigr\}\) is defined for all \(s > c\text{.}\)

The existence is not difficult to see. Let \(f(t)\) be of exponential order, that is \(\lvert f(t) \rvert \leq M e^{ct}\) for all \(t > 0\) (for simplicity \(t_0 = 0\)). Let \(s > c\text{,}\) or in other words \((s-c) > 0\text{.}\) By the comparison theorem from calculus, the improper integral defining \(\mathcal{L} \bigl\{ f(t) \bigr\}\) exists if the following integral exists

\begin{equation*}
\int_0^\infty e^{-st} ( M e^{ct} ) \,dt
=
M \int_0^\infty e^{-(s-c)t} \,dt = M \left[ \frac{e^{-(s-c)t}}{-(s-c)}
\right]_{t=0}^\infty = \frac{M}{s-c} .
\end{equation*}

The transform also exists for some other functions that are not of exponential order, but that will not be relevant to us. Before dealing with uniqueness, let us note that for exponential order functions, we obtain that their Laplace transform decays at infinity:

Let \(f(t)\) and \(g(t)\) be continuous and of exponential order. Suppose that there exists a constant \(C\text{,}\) such that \(F(s) = G(s)\) for all \(s > C\text{.}\) Then \(f(t) = g(t)\) for all \(t \geq 0\text{.}\)

Both theorems hold for piecewise continuous functions as well. Recall that piecewise continuous means that the function is continuous except perhaps at a discrete set of points, where it has jump discontinuities like the Heaviside function. Uniqueness, however, does not “see” values at the discontinuities. So we can only conclude that \(f(t) = g(t)\) outside of discontinuities. For example, the unit step function is sometimes defined using \(u(0) = \nicefrac{1}{2}\text{.}\) This new step function, however, has the exact same Laplace transform as the one we defined earlier where \(u(0) = 1\text{.}\)

Subsection6.1.3The inverse transform

As we said, the Laplace transform will allow us to convert a differential equation into an algebraic equation. Once we solve the algebraic equation in the frequency domain we will want to get back to the time domain, as that is what we are interested in. Given a function \(F(s)\text{,}\) we wish to find a function \(f(t)\) such that \(\mathcal{L} \bigl\{ f(t) \bigr\} = F(s)\text{.}\)Theorem 6.1.3 says that the solution \(f(t)\) is unique. So we can without fear make the following definition.

Suppose \(F(s) = \mathcal{L} \bigl\{ f(t) \bigr\}\) for some function \(f(t)\text{.}\) Define the inverse Laplace transform as

There is an integral formula for the inverse, but it is not as simple as the transform itself—it requires complex numbers and path integrals. For us it will suffice to compute the inverse using Table 6.1.

Example6.1.5.

Take \(F(s) = \frac{1}{s+1}\text{.}\) Find the inverse Laplace transform.

As the Laplace transform is linear, the inverse Laplace transform is also linear. That is,

\begin{equation*}
{\mathcal{L}}^{-1} \bigl\{ A F(s) + B G(s) \bigr\} =
A {\mathcal{L}}^{-1} \bigl\{ F(s) \bigr\} +
B {\mathcal{L}}^{-1} \bigl\{ G(s) \bigr\} .
\end{equation*}

Of course, we also have \({\mathcal{L}}^{-1} \bigl\{ A F(s) \bigr\} =
A {\mathcal{L}}^{-1} \bigl\{ F(s) \bigr\}\text{.}\) Let us demonstrate how linearity can be used.

Example6.1.6.

Take \(F(s) = \frac{s^2+s+1}{s^3+s}\text{.}\) Find the inverse Laplace transform.

First we use the method of partial fractions to write \(F\) in a form where we can use Table 6.1. We factor the denominator as \(s(s^2+1)\) and write

Putting the right-hand side over a common denominator and equating the numerators we get \(A(s^2+1) + s(Bs+C) = s^2+s+1\text{.}\) Expanding and equating coefficients, we obtain \(A+B = 1\text{,}\)\(C=1\text{,}\)\(A=1\text{,}\) and thus \(B=0\text{.}\) In other words,

where \(F(s)\) is the Laplace transform of \(f(t)\text{.}\)

Exercise6.1.4.

Derive the first shifting property from the definition of the Laplace transform.

The shifting property can be used, for example, when the denominator is a more complicated quadratic that may come up in the method of partial fractions. We complete the square and write such quadratics as \({(s+a)}^2+b\) and then use the shifting property.

where \(F(s)\) and \(G(s)\) are polynomials. If \(\frac{F(s)}{G(s)}\) is the Laplace transform of an exponential order function, it goes to zero as \(s \to \infty\text{,}\) and so the degree of \(F(s)\) must be smaller than that of \(G(s)\text{.}\) Such rational functions are called proper rational functions and we can always apply the method of partial fractions without polynomial division. Of course, we still need to be able to factor the denominator into linear and quadratic terms, which involves finding the roots of the denominator.

Exercises6.1.4Exercises

6.1.5.

Find the Laplace transform of \(3+t^5+\sin (\pi t)\text{.}\)

6.1.6.

Find the Laplace transform of \(a+bt+ct^2\) for some constants \(a\text{,}\)\(b\text{,}\) and \(c\text{.}\)

6.1.7.

Find the Laplace transform of \(A \cos (\omega t) + B \sin (\omega t)\text{.}\)

6.1.8.

Find the Laplace transform of \(\cos^2 (\omega t)\text{.}\)

6.1.9.

Find the inverse Laplace transform of \(\frac{4}{s^2-9}\text{.}\)

6.1.10.

Find the inverse Laplace transform of \(\frac{2s}{s^2-1}\text{.}\)

6.1.11.

Find the inverse Laplace transform of \(\frac{1}{{(s-1)}^2(s+1)}\text{.}\)

6.1.12.

Find the Laplace transform of \(f(t) =
\begin{cases}
t & \text{if } \; t \geq 1, \\
0 & \text{if } \; t < 1.
\end{cases}\)

6.1.13.

Find the inverse Laplace transform of \(\frac{s}{(s^2+s+2)(s+4)}\text{.}\)

6.1.14.

Find the Laplace transform of \(\sin\bigl(\omega (t-a)\bigr)\text{.}\)

6.1.15.

Find the Laplace transform of \(t\sin(\omega t)\text{.}\) Hint: Several integrations by parts.

6.1.101.

Find the Laplace transform of \(4{(t+1)}^2\text{.}\)

Answer.

\(\frac{8}{s^3} + \frac{8}{s^2} + \frac{4}{s}\)

6.1.102.

Find the inverse Laplace transform of \(\frac{8}{s^3(s+2)}\text{.}\)

Answer.

\(2t^2-2t+1-e^{-2t}\)

6.1.103.

Find the Laplace transform of \(te^{-t}\text{.}\) Hint: Integrate by parts.

Answer.

\(\frac{1}{{(s+1)}^2}\)

6.1.104.

Find the Laplace transform of \(\sin(t)e^{-t}\text{.}\) Hint: Integrate by parts.

Answer.

\(\frac{1}{s^2+2s+2}\)

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