Geology Reference
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be a real continuous non-periodic function of
variable x , such that f ( x ) ! 0as x !˙1 .
The Fourier transform of f is a complex func-
tion of a real parameter k , defined as follows:
[ f ]ofareal
function has the basic properties listed below:
1. Symmetry .Re( F ) is a symmetric function,
Im( F ) is antisymmetric:
The Fourier transformation
F
C Z
Re .F .-k// D Re .F.k// I Im.F .-k//
f.x/e ikx dx
F.k/ D
(5.71)
D -Im .F.k//
(5.77)
1
2. Linearity . For any pair of constants a and b ,
if f and g are real continuous non-periodic
functions of x , then:
The variable k in ( 5.71 ) is called wavenumber
and has units of m 1 . It is related to the wave-
length œ by the following relation (see Sect. 4.8 ) :
2
œ
F
Œaf C bg D a
F
Œf C b
F
Œg (5.78)
k D
(5.72)
3. Scaling . For an arbitrary constant a ¤ 0, if g ( x )
D f ( ax )and G D F
Being a complex function, on the basis of
Euler's formula F can be written in the form:
[ g ], then:
F k
a
1
j a j
G.k/ D
(5.79)
F.k/ Dj F.k/ j e i‚.k/
(5.73)
where the functions j F ( k ) j and‚( k ) are called re-
spectively amplitude and phase . The key feature
of Fourier transforms is that always exists an
inverse Fourier transform that allows to go back
from the Fourier wavenumber domain to the
space domain:
4. Shifting .If g ( x ) D f ( x - x 0 ) is a shift of function
f , then its transform adds a linear phase factor
to the Fourier transform of f , leaving the am-
plitude spectrum unaffected:
G.k/ D F.k/e ikx 0
(5.80)
C Z
5. Convolution .Let f and g two real functions
with Fourier transforms F and G , respectively.
The following integral function is called con-
volution of f and g :
1
F.k/e ikx dk
f.x/ D
(5.74)
1
Therefore, the basic idea in Fourier-domain
modelling is to simplify complex operations by
application of the Fourier transform, then going
back to the space domain through an inverse
transformation. In the case of multivariate func-
tions, the Fourier transform defines a complex
function of a wavevector k , thereby, the transfor-
mation and its inverse assume the form:
C Z
h.x/ D
f.Ÿ/g.x Ÿ/dŸ f g
1
(5.81)
Then, the convolution property states that:
H.k/ D F.k/G.k/
(5.82)
C Z
C Z
C Z
f.r/e ikr dxdyd z (5.75)
F.k/ D
6. Derivative . The operation of differentiation
in the space domain is transformed into a
multiplication in the wavenumber domain:
1
1
1
C Z
C Z
C Z
1
.2 / 3
F.k/e ikr dk x dk y dk z
f.r/ D
d n f
dx n
D .ik/ n F.k/
1
1
1
F
(5.83)
(5.76)
 
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