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then we have from (15.46)
+∞
e 1 r 1 φ 11 ( κ )d κ
R 11 (r 1 , 0 , 0 )
=
−∞
+∞
e 1 r 1 +∞
−∞
φ 11 ( κ )dκ 2 3 1 .
=
(15.48)
−∞
We define the one-dimensional spectrum F 11 as
+∞
F 11 1 )
=
φ 11 ( κ )dκ 2 3 .
(15.49)
−∞
From Eq. (15.48) it is the one-dimensional Fourier transform of R 11 (r 1 , 0 , 0 ) :
+∞
e 1 r 1 F 11 1 )dκ 1 .
R 11 (r 1 , 0 , 0 )
=
(15.50)
−∞
As with the one-dimensional scalar spectrum, the superscript 1 in F 11 indicates the
direction of the separation vector r . Similar one-dimensional spectra can be defined
for other combinations of velocity; F 13 , for example, goes with R 13 (r 1 , 0 , 0 ) .
If the two lower indices are the same, then the one-dimensional spectrum is a
real, even function. If they differ, then the one-dimensional spectrum will not be
real, so it can be split into co- and quadrature spectra. The co- and quadrature one-
dimensional spectra can be related to the full co- and quadrature spectra in a way
similar to (15.49) (Problem 15.13) .
The three-dimensional spectrum is also defined with the indices contracted,
φ ii ( κ )
2
E(κ)
=
dσ,
(15.51)
κ i κ i =
κ 2
the factor of two being included so it integrates to the turbulence kinetic energy per
unit mass (TKE):
u i u i
2
=
E(κ)dκ.
( 2 . 63 )
0
This three-dimensional spectrum represents the contribution of Fourier modes of
wavenumber magnitude κ to the TKE, regardless of the orientation of the Fourier
modes. Spherical averages of other functions (for example, Co ij , Section 15.4.3 )
are also used.
15.4.2 Isotropy
We introduced the implications of isotropy for scalar spectra in Section 15.3.3 .Here
we'll extend the discussion to turbulent velocity fields.
 
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