Example
4. Let
record
the number of people in a certain city who use brands
X,
Y,
and Z,
respectively.
Each month people decide to keep using the same brand or switch
brands.
The probability that a user of brand X
will switch to brand Y
or Z
is 0.3 and 0.3, respectively.
The probability that a user of brand Y
will switch to brand X
or Z
is 0.3 and 0.2, respectively.
The probability that a user of brand Z
will switch to brand X
or Y
is 0.1 and 0.3, respectively.
The transition matrix for this process is
or
![[Graphics:Images/PowerMethodMod_gr_278.gif]](../Images/PowerMethodMod_gr_278.gif)
Assume that the initial distribution
.
4 (a). Find the first
few terms in the sequence
.
4 (b). Verify
that
is the dominant eigenvector of A.
4 (c). Verify that a
corresponding eigenvector is
.
4 (d). Conclude that
the limiting distribution is
.
Solution 4.
4 (a). Enter the
matrix A and vector
and use the subroutine Markov to find the first few terms in the
sequence
.
4 (b). Verify
that
is an eigenvector of A.
4 (c). Verify
that
is an eigenvector of A and
a corresponding eigenvector is
.
4 (d). The
iteration in part (a) appears to be converging
to
.
We are done.
Aside. We can graph
the situation, this is just for fun !
![[Graphics:../Images/PowerMethodMod_gr_314.gif]](../Images/PowerMethodMod_gr_314.gif)
![[Graphics:../Images/PowerMethodMod_gr_317.gif]](../Images/PowerMethodMod_gr_317.gif)
(c) John H. Mathews 2004