Finite Math and Applied Calculus (6th Edition)

Published by Brooks Cole
ISBN 10: 1133607705
ISBN 13: 978-1-13360-770-0

Chapter 7 - Section 7.7 - Markov Systems - Exercises - Page 532: 34

Answer

$v_\infty=\begin{bmatrix} \dfrac{1}{2}&\dfrac{1}{2}&0\end{bmatrix}$

Work Step by Step

The steady-state distribution vector $v_\infty$ can be written as: $v_\infty P=v_∞$ where, $v_\infty=[x~~y~~z]$ This gives: $[x~~y~~z] \begin{bmatrix} 1/2 & 1/2&0 \\ 1/2& 1/2&0\\1/2&0&1/2 \\ \end{bmatrix} =[x~~y~~z]$ We can have the following equations: $$(1/2)x+(1/2)y+(1/2)z=x\\ (1/2) x+(1/2) y=y\\\dfrac{1}{2} z=z$$ or, $$(-1/2)x+(1/2)y+(1/2)z=x\\ (1/2) x-(1/2) y=y\\ (-\dfrac{1}{2}) z=0$$ Also, we have: $x+y+z=1$ So, the new system of equations are: $x+y+z=1\\ (1/2) x-(1/2) y=y\\ (-\dfrac{1}{2}) z=0 $ After solving the above equations, we get: $x=1/2; y=1/2 ; z=0$ Thus, the required steady-state distribution vector $v_\infty$ $v_\infty=\begin{bmatrix} \dfrac{1}{2}&\dfrac{1}{2}&0\end{bmatrix}$
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