3.A Markov chain X0, X1, X2,... has the following transition graph:11231(a) Provide the transition matrix for the Markov chain.(b) Determine E[X₁|X0 = x] for x = {1, 2, 3}.(c) Determine the set of stationary distributions.(d) Is there a limiting distribution? If so, determine it. If not, explain why.

Concept Overview:- The question revolves around Markov Chains, which are mathematical models used to…

Answered: 3. A Markov chain X0, X1, X2,... has…

Linear Algebra: A Modern Introduction

4th Edition

ISBN:9781285463247

Author:David Poole

Publisher:David Poole

Chapter3: Matrices

Section3.7: Applications

Problem 12EQ: 12. Robots have been programmed to traverse the maze shown in Figure 3.28 and at each junction...

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Explain how you can determine the steady state matrix X of an absorbing Markov chain by inspection.
12. Robots have been programmed to traverse the maze shown in Figure 3.28 and at each junction randomly choose which way to go. Figure 3.28 (a) Construct the transition matrix for the Markov chain that models this situation. (b) Suppose we start with 15 robots at each junction. Find the steady state distribution of robots. (Assume that it takes each robot the same amount of time to travel between two adjacent junctions.)
Consider the Markov chain whose matrix of transition probabilities P is given in Example 7b. Show that the steady state matrix X depends on the initial state matrix X0 by finding X for each X0. X0=[0.250.250.250.25] b X0=[0.250.250.400.10] Example 7 Finding Steady State Matrices of Absorbing Markov Chains Find the steady state matrix X of each absorbing Markov chain with matrix of transition probabilities P. b.P=[0.500.200.210.300.100.400.200.11]
1.1. A Markov chain X,, X, X,, ... has the transition probability matrix 1 2 0 ||0.7 0.2 0.1 0.6 0.4 0 0.5 P = 1 2||0.5 Determine the limiting distribution.
The random variables W1, W2,... are independent with common distribution k 1 2 3 4 Pr( W = k) 0.1 0.3 0.2 0.4 Let Xn max (W1,..., Wn) be the largest W observed to date. Determine the transition probability matrix for the Markov chain {Xn}.
A Markov chain X₁, X₁, X₂ ... on the states 0, 1, 2 has the transition probability matrix 0.5 P = 0.25 0 a. Show that P is regular. b. 0.5 0 0.5 0.25 0.5 0.5 Determine the limiting distribution.
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.
Please write all the steps. so I can learn it for the exams
The index model has been estimated for stocks A and B with the following results: RA = 0.03 + 0.8RM + eA. RB = 0.01 + 0.9RM + eB. σM = 0.35; σ(eA) = 0.20; σ(eB) = 0.10. The covariance between the returns on stocks A and B is A) 0384. B) 0.0406. C) 0.0882. D) 0.0772. E) 0.4000. 2) Analysts may use regression analysis to estimate the index model for a stock. When doing so, the slope of the regression line is an estimate of A) the α of the asset. B) the β of the asset. C) the σ of the asset. D) the δ of the asset. Choose correct answer with justification.
Consider the graph with 6 vertices given below and with resistances given by the numbers above each edge. As before, vertices 0 and 5 are absorbing. 3 4 -IN 2 1 3 4 4 th 5 (a) Calculate the total conductance at each vertex and the transition probabilities between each vertex. Write the transition matrix P. Find poo (b) What is the probability that a walker starting at vertex 1 is absorbed by vertex 0? (c) What is the probability that a walker starting at vertex 3 is absorbed by vertex 5? (d) What is the expected number of times that a walker starting at vertex 1 will visit vertex 2?
Please show all steps and explain clearly.
Let P = (0.9 0.9 0.1 0.2 0.8 with two states A and B. be a transition matrix for a Markov Chain 1. What proportion of the state A population will be in state B after two steps Number 2. What proportion of the state B population will be in state B after two steps Number 3. Find the steady state vector x x1= Number X2= Number Write the results accurate to the 3rd decimal place

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