8.4 Fokker–Planck equation 307
that is τ
B
<
3/2
τ
c
. In the collisional (or Pfirsch–Schl
¨
uter) regime we have
||
−1
τ
c
<τ
B
and it follows that there is an intermediate regime in which
τ
B
<τ
c
<τ
B
/
3/2
. This is the most difficult regime to analyse but, as one can
see from the figure, the perpendicular diffusion coefficient has the same order of
magnitude at either end of the interval
3/2
<ν
c
τ
B
< 1 and hence this is known as
the plateau regime.
8.4 Fokker–Planck equation
The BGK model for the collision term in (8.1), while useful for the sort of cal-
culation carried out in Section 8.2, is too simple to give a realistic representation
of collisional effects in quantitative calculations. It does not, for example, conserve
particle number, momentum or energy. Also, as already noted, it assumes that there
is a given collision frequency so we cannot use the model to discover the properties
(e.g. parametric dependence) of collision frequencies. We must, therefore, turn to
more sophisticated models.
At first, plasma physicists used the well-known Boltzmann collision integral for
(∂ f /∂t)
c
even though it was recognized that logically this was an unsatisfactory
way to proceed. The Boltzmann derivation assumes short range, binary collisions
whereas in a plasma there may be typically a thousand particles in the Debye
sphere, all of which are interacting with each other simultaneously so that collisions
are characteristically long range (compared with the mean interparticle separation)
and many-body. Most of these collisions are ‘weak’ in the sense that the potential
energy of the interaction (∼ e
2
/λ
D
) is very much less than the mean thermal energy
(∼ k
B
T ) and it can easily be shown (see Exercise 8.4) that the cumulative effect
of the many weak collisions far outweighs the effect of the rare strong interactions
for which e
2
/r ∼ k
B
T , that is r/λ
D
∼ (nλ
3
D
)
−1
1.
In these circumstances, akin to those met in Brownian motion, the Fokker–
Planck approach is more appropriate. Here, one supposes that a function ψ(v,v)
may be defined such that ψ is the probability that a particle with velocity v acquires
a small increment v in a time t. It then follows that
f (r, v, t) =
f (r, v − v, t − t)ψ(v −v,v)d(v) (8.22)
since this equation simply states that we arive at f (r, v, t) by ‘summing over’ all
possible increments v which were likely to occur t seconds earlier. Note that
ψ(v,v) is assumed independent of t, i.e. the collisional process has no ‘memory’
of earlier collisions; a process having this property is said to be Markovian. This is
discussed further in Section 12.6.2.