Random Walk--2-Dimensional
In a plane, consider a sum of
two-dimensional
vectors with random orientations. Use phasor
notation, and let the phase of each vector be random.
Assume
unit steps are taken in an arbitrary
direction (i.e., with the angle
uniformly distributed
in
and not on a lattice),
as illustrated above. The position
in the complex
plane after
steps is then
given by
|
(1)
|
which has absolute square
|
(2)
| |||
|
(3)
| |||
![]() |
(4)
|
Therefore,
![]() |
(5)
|
Each unit step is equally likely to be in any direction (
and
). The displacements are random
variables with identical means of zero, and their difference
is also a random variable. Averaging over this distribution, which has equally likely
positive and negative values
yields an expectation value of 0, so
|
(6)
|
The root-mean-square distance after
unit steps is
therefore
|
(7)
|
so with a step size of
, this becomes
|
(8)
|
In order to travel a distance
,
|
(9)
|
steps are therefore required.
Amazingly, it has been proven that on a two-dimensional lattice, a random walk has unity probability of reaching any point (including the starting point) as the number of steps approaches infinity.


random walk—2-dimensional



