To show the generation of the distributions and the integral representation of the stationary Boltzmann equation (4.10) is used.
First, the scattering operator in (4.10) is reformulated as:
where the self-scattering rate
has been introduced. Note that the delta function guarantees that the self-scattering does not change an
electron state. Free-flight times are generated using the total scattering rate
. Thus the self-scattering rate has to satisfy the
equality
|
(4.64) |
This gives for the self-scattering rate the following expression:
|
(4.65) |
Further, an additional differential scattering rate
is introduced
|
(4.66) |
|
(4.67) |
Now taking into account (4.65) and (4.67) the scattering operator (4.64) takes the conventional form:
|
(4.68) |
Using the Neumann series of the forward equation the second iteration term (4.47) is derived as an example:
Here is the step function and
. From (4.71) it is seen that
if the free-flight time is calculated from the exponential distribution according to the scattering rate
, the conditional probability
density for an after-scattering state
from the initial state is equal to
.
Within the algorithm presented in [82] the before-scattering distribution function is equal to
which gives the distribution . In order to find the distribution function of the
after-scattering states the before-scattering distribution function should be multiplied by the conditional probability density for an after-scattering
state and this product is integrated over all before-scattering states. Using (4.67) and (4.66) one obtains for the
after-scattering distribution:
Note that the after-scattering distribution is normalized to unity. Now it is obvious that the initial distributions and can be generated
by introduction the main trajectory which is constructed using the algorithm from [82] to solve (4.10). Then for each main
iteration two carrier ensembles with initial distributions and evolve in time according to (4.11) for the secondary
trajectories.
S. Smirnov: