2.Let X₁, X₁,... be the Markov chain on state space {1,2,3,4} withtransition matrix01/2 1/2 01/7 0 3/7 3/71/3 1/3 1/3002/3 1/6 1/6,(a) Explain how you can tell this Markov chain has a limiting distribution and howyou could compute it. Your answer should refer to the relevant Theorems

Given that be the Markov chain on state space with transition matrix:

Answered: 2. Let Xo, X₁,... be the Markov chain…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

See similar textbooks

Similar questions

5. Let P be the transition matrix of a Markov chain with finite state space. Let I be the identity matrix, U the |S| x |S| matrix with all entries unity, and 1 the row |S|-vector with all entries unity. Let л be a non-negative vector with Σ; i = 1. Show that лP = if and only if (I-P+U) = 1. Deduce that if P is irreducible then = 1(I-P + U)-¹.
Suppose that a production process changes state according to a Markov chain on [25] state space S = {0, 1, 2, 3} whose transition probability matrix is given by a) Determine the limiting distribution for the process. b) Suppose that states 0 and 1 are “in-control,” while states 2 and 3 are deemed “out-of-control.” In the long run, what fraction of time is the process out-of-control?
4. Let (X₂)o be a Markov chain with state space S = {1,2,3} and transition matrix .8 .2 O .5 .5 0 0 0 1 Find two different stationary distributions for this Markov chain. P =
5. Suppose {Xn, n 2 0} is a Markov chain with state space (0, 1,2} and transition probability matrix 0.6 0.2 0.2 P= 0.8 0.2 0.5 0.5 Find the classes for this Markov chain and classify them as transient or recurrent.
If she made the last free throw, then her probability of making the next one is 0.7. On the other hand, If she missed the last free throw, then her probability of making the next one is 0.2. Assume that state 1 is Makes the Free Throw and that state 2 is Misses the Free Throw. (1) Find the transition matrix for this Markov process. %3D
Recall that the graph of a discrete-time, finite-state, homogeneous Markov chain on two states 1, 2 with transition matrix is CO (: :) 1 T = If instead a new Markov chain on three states {1, 2, 3} has transition matrix 10 1 0 (a) Draw the corresponding graph for this new Markov chain. (b) Is the Markov chain with transition matrix T irreducible?
Find the limiting distribution for this Markov chain. Then give an interpretation of what the first entry of the distribution you found tells you based on the definition of a limiting distribution. Your answer should be written for a non-mathematician and should consist of between 1 and 3 complete sentences without mathematical symbols or terminology.
Consider the mouse in the maze shown to the right that includes "one-way" doors. Show that q (also given to the right), is a steady state vector for the associated Markov chain, and interpret this result in terms of the mouse's travels through the maze. To show that q is a steady-state vector for the Markov chain, first find the transition matrix. The transition matrix is P= 0. (Type integers or simplified fractions for any values in the matrix.) 4 2 3 5 6 q= 0
Consider the Markov chain with three states,S={1,2,3}, that has the following transition matrix 1.Draw the state transition diagram for this chain. (10 marks)
2. For all permissible p values, determine the equivalence classes of the Markov chain with the following transition matrix P, classify states as transient or recurrent, and classify the Markov chain as irreducible or reducible. 0. 1-p 1 - 0. P = 0. 1-p 0. 1-p

Recommended textbooks for you

MATLAB: An Introduction with Applications

Statistics

ISBN:

9781119256830

Author:

Amos Gilat

Publisher:

John Wiley & Sons Inc

Probability and Statistics for Engineering and th…

Statistics

ISBN:

9781305251809

Author:

Jay L. Devore

Publisher:

Cengage Learning

Statistics for The Behavioral Sciences (MindTap C…

Statistics

ISBN:

9781305504912

Author:

Frederick J Gravetter, Larry B. Wallnau

Publisher:

Cengage Learning

MATLAB: An Introduction with Applications

Statistics

ISBN:

9781119256830

Author:

Amos Gilat

Publisher:

John Wiley & Sons Inc

Probability and Statistics for Engineering and th…

Statistics

ISBN:

9781305251809

Author:

Jay L. Devore

Publisher:

Cengage Learning

Statistics for The Behavioral Sciences (MindTap C…

Statistics

ISBN:

9781305504912

Author:

Frederick J Gravetter, Larry B. Wallnau

Publisher:

Cengage Learning

Elementary Statistics: Picturing the World (7th E…

Statistics

ISBN:

9780134683416

Author:

Ron Larson, Betsy Farber

Publisher:

PEARSON

The Basic Practice of Statistics

Statistics

ISBN:

9781319042578

Author:

David S. Moore, William I. Notz, Michael A. Fligner

Publisher:

W. H. Freeman

Introduction to the Practice of Statistics

Statistics

ISBN:

9781319013387

Author:

David S. Moore, George P. McCabe, Bruce A. Craig

Publisher:

W. H. Freeman

SEE MORE TEXTBOOKS

2. Let Xo, X₁,... be the Markov chain on state space {1,2,3,4} with transition matrix 1/2 1/2 0 0 1/7 0 3/7 3/7 1/3 1/3 1/3 2/3 1/6 1/6, 0 0 (a) Explain how you can tell this Markov chain has a limiting distribution and how you could compute it. Your answer should refer to the relevant Theorems