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SOLUTIONS MANUAL for Stochastic Modeling: Analysis and ...

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61<br />

⎛<br />

P = ⎜<br />

⎝<br />

0.92 0.08 0 0<br />

0 0 0.97 0.03<br />

0.92 0.08 0 0<br />

0 0 0.97 0.03<br />

⎞<br />

⎟<br />

⎠<br />

(b) π 1 ≈ 0.85<br />

(c)<br />

2000(500π 1 + 625(π 2 + π 3 ) + 800π 4 )<br />

≈ 2000(500(0.8499) + 625(0.0739 + 0.0739) + 800(0.0023))<br />

≈ $1, 038, 298<br />

22. The proof is by induction.<br />

For i ∈A<strong>and</strong> j ∈B,f (1)<br />

ij = p ij .Thus,<br />

F (1)<br />

AB = P (0)<br />

AAP AB<br />

Now suppose that the result is true <strong>for</strong> all n ≤ k, <strong>for</strong>somek>1.<br />

f (k+1)<br />

ij = ∑ l∈A<br />

Pr{S k+1 = j, S k ∈A,...,S 2 ∈A,S 1 = l | S 0 = i}<br />

= ∑ l∈A<br />

Pr{S k+1 = j, S k ∈A,...,S 2 ∈A|S 1 = l, S 0 = i}<br />

× Pr{S 1 = l | S 0 = i}<br />

= ∑ l∈A<br />

Pr{S k = j, S k−1 ∈A,...,S 1 ∈A|S 0 = l}p il<br />

= ∑ l∈A<br />

f (k)<br />

lj p il = ∑ p il f (k)<br />

lj<br />

l∈A<br />

There<strong>for</strong>e, in matrix <strong>for</strong>m <strong>and</strong> using the induction hypothesis<br />

F (k+1)<br />

AB = P AA F (k)<br />

AB<br />

= P AA P (k−1)<br />

AA P AB<br />

= P AAP (k)<br />

AB<br />

There<strong>for</strong>e, the result is true <strong>for</strong> n = k + 1, <strong>and</strong> is thus true <strong>for</strong> any n.

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