While there has been much success in the development of a theory for continuous distributions, attempts to extend the definition of the Wigner distribution to the discrete case have not been completely successful. An ideal approach for computing a discrete distribution would preserve the properties present in the continuous distribution. Depending on whether the function is continuous and periodic there are four different types of Fourier transform and hence arguably four kinds of Wigner transform.
In our applications we have a wave function on the (infinite)
real line. If we discretize it this corresponds to the discrete
and aperiodic case. It is proved in [OFW99] and
in [OW98]
that in this
case there exists no definition of the discrete Wigner transform
which satisfies all the desirable properties mentioned above.
The problem of defining a ``good" discrete Wigner transform
is further discussed in [RPS98].
We refer the
reader to these literature references
for an exact formulation concerning these ``no go'' theorems.
Good solutions only exist for
distributions (and operators) which are periodic
both in
and
. While in our application case periodicity
of the Wigner distribution in
is not too unreasonable, periodicity in
can not be
assumed if a bias is applied.
In the literature on Wigner function method simulation authors propose various definitions of a discrete Wigner transform. Starting from the discrete Schrödinger equation they derive different discretizations of the Wigner equation. Each of these definitions has its shortcomings. And the cited results suggests that the search for a ``good'' definition of discrete Wigner transform is in vain.
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