Environmental Engineering Reference
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Also, we have the convolution theorem
F 1
= f 1 f 2 =
f 1
f 2 .
B.2 Laplace Transformation
The Laplace transformation draws from an extension of the Fourier transforma-
tion. When the conditions for the Fourier transformation cannot be satisfied, we can
sometimes apply a Laplace transformation.
B.2.1 Laplace Transformation
Functions must be absolutely integrable in
to have a Fourier transforma-
tion under the classical definition. Many functions, some of which are important,
cannot however satisfy this condition. Since the Fourier transformation can only be
applied to functions defined in
( , + )
, its application is limited. In order to relax
these limits, we need to introduce a new integral transformation.
Consider the function
( , + )
ϕ (
t
) ,
t
( , + )
,
e β t
g
(
t
)= ϕ (
t
)
I
(
t
)
, β >
0
,
where I
(
t
)
is a unit function. Through multiplying
ϕ (
t
)
by I
(
t
)
, we reduce the do-
by e β t , we increase the
main
( , + )
to
(
0
, + )
. Through multiplying
ϕ (
t
)
speed of tending to zero of
ϕ (
t
)
such that the absolutely integrable condition can be
satisfied.
Consider the Fourier transformation of g
(
t
)
,
+
+
+
e β t e t d t
e ( β + ) t d t
e st d t
g
( ω )=
ϕ (
t
)
I
(
t
)
=
f
(
t
)
=
f
(
t
)
,
0
0
g s
β
i
f
where f
(
t
)= ϕ (
t
)
I
(
t
)
, s
= β +
i
ω
.Let g
( ω )=
=
(
s
)
. The complex-
valued function f
(
s
)
thus comes from the integral
transformation of
f
(
t
)
,
+
e st d t . This can be used to introduce the Laplace transformation.
Suppose that f
f
(
t
)
0
(
t
)
is defined for t
0. When t
>
0, f
(
t
)
0. Assume that the
+
e st d t is convergent in a certain region of complex variables. Let
integral
f
(
t
)
0
+
f
e st d t
(
s
)=
f
(
t
)
,
(B.23)
0
This is called the Laplace transformation of f
(
t
)
and denoted by
f
(
s
)=
L
[
f
(
t
)] .
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