4.4.1.1 Initial Distributions of the Two Ensembles

Using the same method as suggested in [74] the free term in (4.24) is split into two positive functions $ G^{+}$ and $ G^{-}$ which are related to $ G$ through the relation: $ G = G^{+}-G^{-}$. These two positive functions are considered as initial distributions of two carrier ensembles which contain the same numbers of particles. This follows from the following equality:

$\displaystyle \int G(\vec{k})\,d\vec{k}=0.$ (4.54)

To find the initial distributions for the case of a longitudinal perturbation the zeroth order equation (4.10) is used. This equation gives together with (4.13):

$\displaystyle G(\vec{k})=\frac{E_\mathrm{im}}{E_{s}}\cdot\biggl(\lambda(\vec{k}...
...int f_{s}(\vec{k}^{'})\widetilde{S}(\vec{k}^{'},\vec{k})\, d\vec{k}^{'}\biggr),$ (4.55)

where $ \lambda(\vec{k})=\int S(\vec{k},\vec{k}^{'})\,d\vec{k}^{'}$. The last expression provides a splitting of $ G$ into two positive functions. From the balance condition stated by the zeroth order equation (4.10) it follows $ \langle\widetilde{\lambda}\rangle_{s}=\langle\lambda\rangle_{s}$, where the stationary statistical average is defined as $ \langle\cdots\rangle_{s} = \int f_{s}(\vec{k})\cdots\,d\vec{k}$. Then the initial distributions can be written as:
    $\displaystyle G^{+}=\frac{E_\mathrm{im}}{E_{s}}\langle\widetilde{\lambda}\rangl...
...iggl\{\frac{\lambda(\vec{k})f_{s}(\vec{k})}{\langle\lambda\rangle_{s}}\biggr\},$  
    $\displaystyle G^{-}=\frac{E_\mathrm{im}}{E_{s}}
\langle\widetilde{\lambda}\rang...
...tilde{S}(\vec{k},\vec{k}^{'})}{\widetilde{\lambda}(\vec{k})}\biggr\}\,d\vec{k}.$ (4.56)

In (4.57), $ G^{+}$ represents the normalized before-scattering distribution function for a particle trajectory whose free-flight times are determined by the conventional scattering rate $ \lambda(\vec{k})$, while $ G^{-}$ gives the normalized after-scattering distribution function for a particle trajectory constructed using $ \widetilde{S}(\vec{k},\vec{k}^{'})$ and $ \widetilde{\lambda}(\vec{k})$, respectively. S. Smirnov: