Session 5
Characteristic Function Representations

Ernesto Gutierrez-Miravete

Fall 2002

1  Expansion of Arbitrary Functions in Series of Orthogonal Functions

Assume that an arbitrary function f(x) can be represented as a linear combination of characteristic functions forming an orthogonal set with respect to a certain weighting function r(x), {fn(x)}
f(x) = ¥
å
n = 0 
An fn(x)
Multiplication of the above by r(x) fk(x), followed by integration from x = a to x = b and the orthogonality of the eigenfunctions leads to
An =
ó
õ
b

a 
r(x) f(x) fn(x) dx

ó
õ
b

a 
r(x) [fn(x)]2 dx
which determines the formal series representation of f(x).

If the associated Sturm-Liouville problem is proper and p(x), q(x) and r(x) are regular in (a,b), the formal representation given above of any piecewise differentiable function f(x) converges to f(x) inside (a,b) wherever f(x) is continuous and converges to the mean value whrever finite jumps occur. Furthermore, if f(x) is continuous and its derivative is piecewise differentiable, the term by term derivative of the series converges to f¢(x) wherever the derivative is continuous.

Note the great generality of series representation in terms of eigenfunctions in comparison with power series expansions. While Taylor series representations require the existence of derivatives of all orders and even in such case the representation may not exist, this is not the case at all with Fourier series.

The characteristic function representation can be operated upon by the operator L = [d/dx](p(x) [dy/dx]) + q to give

L f(x) » ¥
å
n = 0 
An L fn(x) = - r(x) ¥
å
n = 0 
ln An fn(x)
and if L f(x)/r(x) is piecewise differentiable
L f(x)
r(x)
= ¥
å
n = 0 
Bn fn(x)
with Bn = - ln An. Therefore, in these conditions the operator can by applied term by term to the series.

2  Boundary Value Problems involving Nonhomogeneous Equations

Consider the nonhomogeneous differential equation
L y + L r y = h(x)
and its associated homogeneous problem when h(x) = 0 with corresponding eigenfunctions fn(x) and eigenvalues ln with the series representation of its solution y = åan fn Since L fn = - ln r fn, substitution into the original ODE gives r å(L - ln) an fn = h, i.e.
h(x)
r(x)
= f(x) = å
(L - ln) anfn(x) = å
An f(x)
where h/r is assumed to be piecewise differentiable. The solution of the nonhomogeneous problem is then
y(x) = å
An
L - ln
fn(x)

3  Fourier Series

The characteristic functions fn(x) = sin( n px/l) are eigenfunctions of the problem
d2 y
dx2
+ ly = 0, y(0) = 0, y(l) = 0
with the characteristic numbers ln = n2 p2/l2.

If a function f(x) can be represented as

f(x) = ¥
å
n = 1 
An fn(x) = ¥
å
n = 1 
An sin( n px
l
)
in x Î [0,l] then, because of orthogonality,
An = 2
l
ó
õ
l

0 
f(x) sin( n px
l
) dx
The series is the Fourier sine series representation of f(x) in terms of individual harmonics and An are called the Fourier coefficients and are equal to twice the average value of f sin(n px/l) in [0,l]. Since the sign of each harmonic is reversed when x is replaced by -x, the Fourier sine series is a representation of an odd function f(x) (i.e. one for which f(-x) = - f(x)) in the interval [-l,l]. If f(x) is odd and periodic, the series represents f(x) everywhere.

If instead the following BVP is considered

d2 y
dx2
+ ly = 0, y¢(0) = 0, y¢(l) = 0
with characteristic functions
fn(x) = cos( n px
l
), (n = 0,1,2,...)
and eigenvalues ln = n2 p2/l2 and this is used to produce a (Fourier cosine series) representation of the function f(x)
f(x) = A0 + ¥
å
n = 1 
An cos( n px
l
)
the corresponding Fourier coefficients are
A0 = 1
l
ó
õ
l

0 
f(x) dx
and
An = 2
l
ó
õ
l

0 
f(x) cos( n px
l
) dx, (n = 1,2,3,...)
The Fourier cosine series is a representation of an even function f(x) (i.e. one for which f(-x) = f(x)) in the interval [-l,l]. If f(x) is even and periodic, the series represents f(x) everywhere. Since all harmonics are even and periodic, they constitute convergent representations to piecewise differentiable even functions f(x) everywhere.

Since any function f(x) can be expressed as the sum of an even fe(x) and an odd function fo(x) with

fe(x) = A0 + ¥
å
n = 1 
An cos( n px
l
)
fo(x) = ¥
å
n = 1 
Bn sin( n px
l
)
such that , over the interval [-l,l],
f(x) = A0 + ¥
å
n = 1 
( An cos( n px
l
) + Bn sin( n px
l
) )
where
A0 = 1
2l
ó
õ
l

-l 
f(x) dx
An = 1
l
ó
õ
l

-l 
f(x) cos( n px
l
) dx
and
Bn = 1
l
ó
õ
l

-l 
f(x) sin( n px
l
) dx
The series representation of f(x) is called the complete Fourier sine-cosine series representation. This can be expressed in more compact form by using Euler's formula:
f(x) = ¥
å
k = -¥ 
Ck ei k x
where
Ck = 1
2 p
ó
õ
l

-l 
f(x) e-ikx dx = 1
2
Ak - i
2
Bk

The complete Fourier series representation of f(x) over any interval [a,a+P] is easily obtained.

Fourier series representations of f(x) can be differentiated term by term and the result becomes a convergent representation of f¢(x) as long as f¢ is piecewise differentiable.

4  Fourier-Bessel Series

The BVP
d
dx
(x dy
dx
) + (- p2
x
+ m2 x) y = 0
is of Sturm-Liouville form with p(x) = x, q(x0 = - p2/x, r(x0 = x and l = m2. Its general solution is of the form y(x) = Zp(mx) where
Zp(mx) = c1 Jp(mx) + c2 J-p(mx)
when p is not integer and
Zp(mx) = c1 Jp(mx) + c2 Yp(mx)
when p is integer. If at x = 0 y is finite and x y¢ = 0 and at x = l, y(l) = 0, the eigenvalues m are the roots of Jp(mn l) = Jp(an) = 0. If instead at x = l, y¢(l) = 0, the ms are the roots of Jp(mn l) = Jp(an) = 0. In any case the characteristic functions are
fn(x) = Jp(mn x) = Jp(an x
l
)
which are orthogonal on [0,l] with respect to r(x) = x. So, excluding the exceptional case p = 0, the representation
f(x) = ¥
å
n = 1 
An Jp(mn x)
with
An = 1
Cn
ó
õ
l

0 
x f(x) Jp(mn x) dx
and
Cn = l2
2
[Jp+1(mn l)]2
if y(l) = 0, and
Cn = mn2 l2 - p2 + k2
2 mn2
[Jp(mn l)]2
if y¢(l) = 0. The integral involved in the calculation of An can be readily obtained by numerical methods.

5  Legendre Series

Legendre's differential equation
d
dx
[(1-x2) dy
dx
] + p (p+1) y = 0
has the form of the differential equation of a Sturm-Liouville problem with p(x) = 1 - x2, q(x0 = 0, r(x) = 1 and l = p (p+1). Finite solutions at x = ±1 require p = 0, 1, 2, ... and are
fn(x) = Pn(x)
where Pn(x) are the Legendre polynomials. Since these are orthogonal, any piecewise differentiable function in the interval (-1,1) can be represented as
f(x) = ¥
å
n = 0 
An Pn(x)
where
An =
ó
õ
1

-1 
f(x) Pn(x) dx

ó
õ
1

-1 
[Pn(x)]2 dx
= ì
ï
ï
ï
ï
í
ï
ï
ï
ï
î
2n+1
2
ó
õ
1

-1 
f(x) Pn(x) dx
2n+1
2n+1 n!
ó
õ
1

-1 
(1-x2)n dn f(x)
dxn
dx
Because of the properties of Pn, if f(x) is even, An = 0 if n is odd and viceversa.

Any polynomial of degree k can be expressed as a linear combination of the first k+1 Legendre polynomials.

6  Fourier Integral

Consider the expression ò0¥ A(u) sin(u x) du where u is any positive number. Could this be a representation of a well behaved function f(x) for 0 < x < ¥? Assume that is the case, therefore,
f(x) = ó
õ
¥

0 
A(u) sin( u x) du
Multiplying both sides by sin(u0 x), integrating from 0 to l, taking the limit as l ® ¥ and rearranging gives
A(u) = 2
p
ó
õ
¥

0 
f(x) sin(u x) dx
Switching the dummy integration variable from x to t and substituting in the original representation
f(x) = 2
p
ó
õ
¥

0 
sin(ux) ó
õ
¥

0 
f(t) sin(ut) dt du
This is the Fourier sine integral representation of f(x) and is valid in "x if f is odd, piecewise differentiable and ò0¥ |f(x)| dx exists. Similarly, the Fourier cosine integral representation can be defined as
f(x) = 2
p
ó
õ
¥

0 
cos(ux) ó
õ
¥

0 
f(t) cos(ut) dt du
valid "x if f is even. For a function f(x) = fe(x) + fo(x), the complete Fourier integral representation in -¥ < x < ¥
f(x) = ó
õ
¥

0 
[A(u) cos(ux) + B(u) sin(ux)]du
with
A(u) = 1
p
ó
õ
¥

0 
f(t) cos(u t) dt
and
B(u) = 1
p
ó
õ
¥

0 
f(t) sin(u t) dt
Substituting and using complex notation
f(x) = 1
2 p
ó
õ
¥

-¥ 
eiux ó
õ
¥

-¥ 
e-iut f(t) dt du

The integral ò-¥¥ e-ixt f(x) dx is called the Fourier transform [`f(u)] of f. The inverse transform is

f(x) = 1
2 p
ó
õ
¥

-¥ 
eiux
f(u)
 
du
Fourier sine and cosine integral transforms can also be defined as
fS(x) = ó
õ
¥

0 
f(x) sin(ux) dx
with
f(x) = 2
p
ó
õ
¥

0 
fS(u) sin(ux) du
and
fC(x) = ó
õ
¥

0 
f(x) cos(ux) dx
with
f(x) = 2
p
ó
õ
¥

0 
fC(u) cos(ux) du


File translated from TEX by TTH, version 2.34.
On 8 Oct 2002, 17:08.


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