SOLUTIONS MANUAL for Stochastic Modeling: Analysis and ...
SOLUTIONS MANUAL for Stochastic Modeling: Analysis and ...
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.