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The maximum entropy method has been criticized by Junk [JU00], see also [BBB00] and [Tag03]. For the semiconductor Boltzmann equation with parabolic bands the equilibrium states are located on the boundary of the domain of definition of the maximum entropy system. For the maximum entropy closure involving moments of fourth order or higher, the flux function of the maximum entropy system is singular in equilibrium points. Arbitrarily close to equilibrium, the maximal characteristic velocity becomes arbitrarily large. These results also imply, that the maximum entropy closure does not always exist.
The maximum entropy closure is not invariant under
a nonlinear transformation of the random variables.
For example, maximizing the entropy for the distribution of
the random variable
corresponding
to 
gives a different closure.
To apply the maximum entropy closure a set of ``natural''
random variables has to be distinguished.
Furthermore, in the maximum entropy closure as applied in [ARR00] it is assumed that, e.g., the first five moments are known and then the sixth moment is estimated. No knowledge is assumed about the higher order moments. However, this ignores available information about the sixth moment - as this moment enters into the equation for the fourth moment.
To include this available information we propose
the following modified maximum entropy closure:
We apply the maximum entropy principle to the
class of all solutions of the under-determined
equation system (4 unknowns:
,
3 equations for:
). The entropy
which is to be maximized is the global entropy
of the six-dimensional function 
. In this
way is not pre-eliminated and is treated
on a same footing with the lower even moments.
However, carrying through this approach leads to
an even more complicated system of equations.
This is also the natural way in which the infinite hierarchy of moment equations (as discussed in Section 2.3.5) should be closed, i.e., of all solutions of the infinite hierarchy choose the one with maximum entropy.
Previous: 3.2.1 Distribution Families
Up: 3.2 Maximum Entropy Closure
Next: 3.2.3 Diffusion Closure