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Chapter 12 Fourier Series and the Laplace Transform
12.1 Fourier Series
Overview
In this chapter we show how Fourier
Series, the Fourier Transform, and the Laplace
Transform are related to the study of complex
analysis.
First, we will introduce the Fourier series for a real-valued
function
of
the real variable
. Then
we discuss Fourier transforms.
Finally, we develop the Laplace transform and the complex variable
techniques for finding its inverse.
Our goal is to apply these ideas to solving problems, so many of the
theorems are stated without proof.
Background
Let
be
a real-valued function that is periodic with
period
, that
is
.
One such function is
.
Its graph is obtained by repeating the portion of the graph in any
interval of length
, as
shown in Figure 12.1.
![[Graphics:Images/FourierSeriesComplexMod_gr_8.gif]](fourierseries/FourierSeriesComplexMod/Images/FourierSeriesComplexMod_gr_8.gif)
Figure
12.1. A function
with
period
.
Familiar examples of real functions that
have period
, are
, where n is
an integer.
These examples raise the question of whether any periodic function
can be represented by a sum of terms involving
,
where
are
real constants. As we soon demonstrate, the answer to this
question is often yes.
Definition 12.1 (Piecewise
Continuous). The
function
is
piecewise continuous on the closed
interval
, if
there exists values
with
such
that
is
continuous in each of the open intervals
, for
and has left-hand and right-hand limits at each of the
values
, for
.
We use the
symbols
and
for
the left-hand and right-hand limit, respectively, of a
function
as
approaches the point
.
The graph of a piecewise continuous function is illustrated in Figure
12.2 below, where the function
is
![[Graphics:Images/FourierSeriesComplexMod_gr_30.gif]](fourierseries/FourierSeriesComplexMod/Images/FourierSeriesComplexMod_gr_30.gif)
![[Graphics:Images/FourierSeriesComplexMod_gr_31.gif]](fourierseries/FourierSeriesComplexMod/Images/FourierSeriesComplexMod_gr_31.gif)
Figure
12.2. A piecewise continuous
function
over
the interval
.
The left-hand and right-hand limits at
,
, and
are
easily determined:
At
, the
left-hand limit is
,
and
the right-hand limit is
.
At
, the
left-hand limit is ![]()
,
and
the right-hand limit is
.
At
, the
left-hand limit is ![]()
,
and
the right-hand limit is
.
Definition
12.2 (Fourier
Series). If
is
periodic with period
and
is piecewise continuous on
, then
the Fourier Series
for
is
(12.1)
,
where the coefficients
are
given by the so-called Euler's
formulae:
(12.2)
,
and
(12.3)
.
We introduced the factor
in the constant term
on
the right side of Equation (12.1) for
convenience,
so that we can obtain
from
the general formula in Equation (12.1)
by setting
.
We explain the reasons for this strategy
shortly. Theorem 12.1 deals
with convergence of the Fourier series.
Theorem 12.1 (Fourier
Expansion). Assume
that
is
the Fourier Series for
.
If
are
piecewise continuous on
, then
is
convergent for all
.
The relation
holds
for all
where
is
continuous.
If
is
a point of discontinuity of
, then
,
where
denote the left-hand and right-hand limits,
respectively. With this understanding, we have the
Fourier Series expansion:
.
Example 12.1. The
function
, extended
periodically by the equation
,
has the Fourier series expansion
.
Solution.
Using Equation
(12.2) and integrating by parts, we obtain
, for
.
The coefficient
is
obtained with the separate computation
.
Then using Equation (12.3) we
get
, for
.
Substituting the coefficients
and
into
Equation (12.1) produces the required
solution
.
The graphs
of
and
the first three partial sums
,
,
and
are
shown in Figure 12.3.
![[Graphics:Images/FourierSeriesComplexMod_gr_146.gif]](fourierseries/FourierSeriesComplexMod/Images/FourierSeriesComplexMod_gr_146.gif)
Figure
12.3. The function
, and
the approximations
,
, and
.
Theorem
12.2. If
have
Fourier series representations, then their
sum
has
a Fourier series representation,
and the Fourier coefficients of
are
obtained by adding the corresponding coefficients
of
.
Theorem 12.3 (Fourier Cosine
Series). Assume
that
is
an even function and has period
.
Here the Fourier series for
involves
only the cosine terms,
, and
we write
,
where
.
Theorem 12.4 (Fourier Sine
Series). Assume
that
is
an odd function and has period
.
Here the Fourier series for
involves
only the sine terms,
, and
we write
,
where
.
Theorem 12.5 (Termwise
Integration). Assume
that
has
the Fourier series representation
.
Then the integral of
has
a Fourier series representation which can be obtained by termwise
integration of the Fourier series of
, that
is
,
where we have used the expansion
.
Theorem 12.6 (Termwise
Differentiation). Assume that
both
have
Fourier series representation and that
.
Then
can
be obtained by termwise differentiation of
, that
is
.
Example 12.2. The
function
, extended
periodically by the equation
,
has the Fourier series expansion
,
which can be written in the alternative form
.
Solution.
The function
is
an even function; hence we can use
Theorem 11.3 to conclude
that
for
all
and
that
, for
.
The coefficient
is
obtained with the separate computation
.
Using the
and
Theorem 12.3 produces the required
solution.
Therefore, we have the found the Fourier series
expansion
.
It is easy to see that
for
all
, and
we can express
in
the form
.
Therefore,
.
The graphs of
and
the first two partial sums
, and
are
shown below.
![[Graphics:Images/FourierSeriesComplexMod_gr_366.gif]](fourierseries/FourierSeriesComplexMod/Images/FourierSeriesComplexMod_gr_366.gif)
Figure
12.2.a. The function
, and
the approximations
, and
.
Extra Example
1. Given
extended
periodically by the equation
,
find the Fourier series expansion.
![[Graphics:Images/FourierSeriesComplexMod_gr_564.gif]](fourierseries/FourierSeriesComplexMod/Images/FourierSeriesComplexMod_gr_564.gif)
Extra Example
2. Given
, extended
periodically by the equation
,
find the Fourier series expansion.
![[Graphics:Images/FourierSeriesComplexMod_gr_705.gif]](fourierseries/FourierSeriesComplexMod/Images/FourierSeriesComplexMod_gr_705.gif)
Exercises for Section 12.1. Fourier Series Representation
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Dirichlet Problem for the Disk
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This material is coordinated with our book Complex Analysis for Mathematics and Engineering.
(c) 2012 John H. Mathews, Russell W. Howell