![]() |
(3.11) |
![]() |
(3.12) |
which is of the linear-isotropic type. Given
the even moments, the parameters and
can
be determined. However, not for every combination
of
and
from a distribution function
we can find such parameters. In particular, it
can be shown, that
In Equation 3.13 the value
comes from a Gaussian distribution.
The value of 1 is reached from a distribution function of
the form
in the limit
.
Likewise one can show that
must hold. Our implementation of the diffusion closure uses
one lookup table for and one for
![]() |
(3.16) |
both parameterized by the single parameter
. From the study of
Monte Carlo data we know
that the range of parameters
and
in the results largely exceeds the
range of
and
given by Equations 3.13 and 3.15.
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