An absorbing Markov chain has the following matrix P as a standard form: A B C D P = A B C D 1 0 0 0 .2 .3 .1 .4 0 .5 .3 .2 0 .1 .6 .3 I 0 R Q Let w k denote the maximum entry in Q k . Note that w 1 = .6 . (A) Find w 2 , w 4 , w 8 , w 16 , and w 32 to three decimal places. (B) Describe Q k when k is large.
An absorbing Markov chain has the following matrix P as a standard form: A B C D P = A B C D 1 0 0 0 .2 .3 .1 .4 0 .5 .3 .2 0 .1 .6 .3 I 0 R Q Let w k denote the maximum entry in Q k . Note that w 1 = .6 . (A) Find w 2 , w 4 , w 8 , w 16 , and w 32 to three decimal places. (B) Describe Q k when k is large.
Solution Summary: The author calculates the value of w_k and the transition matrix of the absorbing chain using TI-83 graphing calculator.
A driver is traveling along a straight road when a buffalo runs into the street. This driver has a reaction time of 0.75 seconds. When the driver sees the buffalo he is traveling at 44 ft/s, his car can decelerate at 2 ft/s^2 when the brakes are applied. What is the stopping distance between when the driver first saw the buffalo, to when the car stops.
Topic 2
Evaluate S
x
dx, using u-substitution. Then find the integral using
1-x2
trigonometric substitution. Discuss the results!
Topic 3
Explain what an elementary anti-derivative is. Then consider the following
ex
integrals: fed dx
x
1
Sdx
In x
Joseph Liouville proved that the first integral does not have an elementary anti-
derivative Use this fact to prove that the second integral does not have an
elementary anti-derivative. (hint: use an appropriate u-substitution!)
1. Given the vector field F(x, y, z) = -xi, verify the relation
1
V.F(0,0,0) = lim
0+ volume inside Se
ff F• Nds
SE
where SE is the surface enclosing a cube centred at the origin and having edges of length 2€. Then,
determine if the origin is sink or source.
Chapter 9 Solutions
Pearson eText for Finite Mathematics for Business, Economics, Life Sciences, and Social Sciences -- Instant Access (Pearson+)
University Calculus: Early Transcendentals (4th Edition)
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Introduction: MARKOV PROCESS And MARKOV CHAINS // Short Lecture // Linear Algebra; Author: AfterMath;https://www.youtube.com/watch?v=qK-PUTuUSpw;License: Standard Youtube License
Stochastic process and Markov Chain Model | Transition Probability Matrix (TPM); Author: Dr. Harish Garg;https://www.youtube.com/watch?v=sb4jo4P4ZLI;License: Standard YouTube License, CC-BY