Random Walk
The so-called random walk is a stochastic process that governs, for example, the path traced by a molecule as it travels through a liquid or a gas, while constantly colliding with the other molecules in the medium.
(See Section 5.3.9.)
Consider a random walk in one dimension. Suppose that a molecule takes steps of
equal length
along the
-axis. Suppose, further, that the steps are taken to the left (i.e., in the negative
-direction) or to the
right, at random, with equal probabilities. Let
be the molecule's
coordinate after
steps. It is assumed that
. In other words, the molecule is initially at the origin. We can write
 |
(5.43) |
Hence,
 |
(5.44) |
which implies that
 |
(5.45) |
Thus, by induction, after
steps, we obtain
 |
(5.46) |
Suppose that the steps are taken at a mean frequency
. It follows that
, where
at
. Hence,
 |
(5.47) |
where
 |
(5.48) |
is known as the diffusivity. According to Equation (5.47), the molecule's mean square distance from
its starting point grows linearly in time. This type of motion is known as diffusion. (See Section 5.3.9.)
Consider a random walk in three dimensions. Let
be the displacement of our molecule from the origin (which is
its starting point). Suppose that the molecule takes steps of
uniform length
, in a random direction,
times a second. Let
be the displacement
associated with a given step. Let
be the molecule's displacement after
steps. We can write
 |
(5.49) |
Thus,
 |
(5.50) |
However, if
is in a random direction then
,
because the cosine of the angle subtended between
and
is
just as likely to be positive as to be negative. Hence, the average of the
previous equation yields
 |
(5.51) |
By induction, after
steps, we obtain
 |
(5.52) |
which implies that
 |
(5.53) |
where
. Thus, the motion of the molecule is again diffusive in nature.