1.1. Definition
When solving heat equations with linear and homogeneous boundary conditions, we obtained product solutions in terms of infinite series of sines and cosines. Joseph Fourier developed his ideas on the convergence of these trigonometric series while studying heat flow.
We now study Fourier series of a periodic function. Suppose is a function defined on the real line such that
for all
, then we say that
is
-periodic. We shall assume that
is Riemann integrable on every bounded interval; this will be the case if
is bounded and is continuous except at finitely many points in each bounded interval. We allow
is be complex-valued (we will see why later). We wish to obtain the following series expansion:
The series expansion of can also be written in terms of complex exponential functions
. We use the following properties:
Equation (1) can be rewritten as
where
We can consider (5) as the sum of two infinity series, one going from to
and one going from
to
.
Alternatively, we can express the coefficients in the following way:
How can the coefficient be expressed in terms of
? Let’s first assume that the series is term by term integrable, we multiply equation (5) by
,
is an integer, and integrate both sides from
to
. We obtain
Note that
Hence, the only non-zero term after the integration is the term , and thus we have
Relabeling the term as
we get
This means that we can also find ,
and
easily
for
To recapitulate: if has a series expansion of the form in (1), and if the series converges decently such that term by term integration is permissible, then the coefficients
and
are given by (14), (15), (12) respectively. But now if
is any Riemann-integrable periodic functions, the integrals in (14), (15), and (12) make perfectly good sense, and we use them to define the coefficients
and
. We are able to give the formal definition as follows:
Definition 1.1 Suppose is periodic with period
and integrable over
. The numbers
and
defined in (14) and (15), or the number
defined in (12), are called the Fourier coefficients of
, and the corresponding series
are called the Fourier series of .
We also present the following Lemmas:
Lemma 1.2 With reference to the formulas (14) and (15),
if f is even,
if f is odd,
For Fourier series of a -periodic function, the constant term of series is
which is equivalent to the mean value of in the interval
. Thus,
Lemma 1.3 The constant term in the Fourier series of a -periodic function
is the mean value of
on an interval of length
.
We now turn to the discussion of periodic functions with an arbitrary period . Similarly, we obtain the following definition of the Fourier series.
Definition 1.4 For a function with period
the Fourier coefficients of
are
and the corresponding series
are called the Fourier series of function .

Definition 1.5 Let be a function defined on the interval
. The periodic extension of
is that function, denoted by
, which satisfies for
for each integer k.
For an even function over
, the Fourier series for
has the form
Formula (25) is called the cosine series of over
.
For an odd function over
, the Fourier series for
has the form
Formula (26) is called the sine series of over
.
Definition 1.6 Let the function be defined on
. The even extension
and the odd extension
of
are the following functions
1.2. A convergence theorem
Now that we have formally introduced the Fourier series. However, one important question remains unresolved: How do we know whether Fourier series converges for all function ? Proving the convergence of the Fourier series is not a simple matter. Firstly, let’s derive an estimate of the Fourier coefficients that will be needed to establish convergence.
Theorem 2.1 (Bessel’s Inequality) If is
-periodic and Riemann integrable on
, and the Fourier coefficients are defined by (16), then
Proof We use the following property of complex numbers,
and let
Divide both sides of (31) by and integrate from
to
, we obtain the following using formula (12),
It is obvious that the left-hand-side of (32) is nonnegative, thus
Letting , we have
Bessel’s inequality can also be stated in terms of and
defined by (16). By equation (7), for
we have
so that
Therefore,
The significance of (37) is that the series ,
and
are all convergent. As a consequence, we obtain the following result.
Corollary 2.2 The Fourier coefficients ,
, and
all tend to
as
(and as
in the case of
).
Proof ,
and
are the
th term of convergent series, so they all tend to
as
; hence so do
,
, and
.
In fact, corollary 2.2 is a special case of the Riemann-Lebesgue lemma. Next, we define the class of functions with which we shall be working.
Definition 2.3 Suppose , we say that a function
on the closed interval
is piecewise continuous provided that (i) f is continous on
except perhaps at finitely many points
;(ii) at each of the points
the left-hand side and right-hand side limits of
,
and
exists. (If (or
) are one of the exception points
, then we require only the left-hand (or the right-hand) limit to exist). Thus, we say that
is piecewise continuous on the
if f is continuous there except for finitely many finite jump continuities.

Definition 2.4 A function on the closed interval
is piecewise smooth if
and its first derivative
are both piecewise continuous.
Pictorially, is piecewise smooth if its graph is a smooth curve except for finitely many jumps (where
is discontinuous) and corners (where
is discontinuous). We do not allow infinite discontinuities or sharp cusps.

A very useful tool in Fourier analysis is the Dirichlet’s kernel for the th partial sum
of the Fourier series for . Substitute
as defined in (16) into (31), we get
Note that we changed the variable of integration from to
for later convenience. We obtain the following
by replacing with
. The sum is not affected since it ranges from
to
. Now, letting
, we have
We can write (34) as
The function is called the
th Dirichlet kernel. We introduce the following properties of the Dirichlet kernal:
Proof For (1), we use the property to obtain
For (2), we recognize that is the sum of a finite geometric series:
Since , we have
Multiplying top and bottom by ,
using the property , we get

Lemma 2.5 For any ,
Proof We integrate both sides of property (45) from to
,
We are now ready to present the main convergence theorem. It says that the Fourier series of a function that is piecewise smooth on every bounded interval
converges pointwise to
, provided that we redefine
at its points of discontinuities to be the average of its left and right hand limits.
Theorem 2.6 If is
periodic and piecewise smooth on
, and
is defined by (40), then
for every . In particular,
for every
at which
is continuous.
Proof By formula (50), we have
and hence by equation (44)
We wish to show that for each fixed , equation (56) tends to 0 as
. By (47) we can write it as
where
We see that is a well-behaved function except when near
. However, since
and
, by L’Hôpital’s rule,
Likewise, approaches
as
approaches
from the right. Thus,
is piecewise continuous on
. By Bessel’s inequality, the Fourier coefficient
tends to 0 as . However, we know that formula (57) is just
. Thus, equation (55) tends to
as
. This is what we needed to show.
Theorem 2.6 says that the Fourier series of a -periodic piecewise smooth function
converges to
everywhere, provided that
is (re)defined at each of its points of discontinuity to be the average of its left- and right-hand limits there. With this understanding, we have the following uniqueness theorem.
Corollary 2.7 If and
are 2
-periodic and piecewise smooth, and
and
have the same Fourier coefficients, then
.
Proof and
are both the sums of the same Fourier series.