1.5, Consider a gambler's ruin chain with N 4. That is, if 1 i 3, p(i,i...
Exercise 7.1 (Gamblers ruin). Let (Xt) 120 be the Gambler's chain on state space Ω = {0, 1,2, , N} (i) Show that any distribution r-[a,0,0, ,0, bl on 2 is stationary with respect to the gambler?s (ii) Clearly the gambler's chain eventually visits state 0 or N, and stays at that boundary state introduced in Example 1.1. chain. Also show that any stationary distribution of this chain should be of this form. thereafter. This is called absorbtion. Let Ti...
Suppose in the gambler's ruin problem that the probability of winning a bet de- pends on the gambler's present fortune. Specifically, suppose that ai is the prob- ability that the gambler wins a bet when his or her fortune is i. Given that the gambler's initial fortune is i, let P(i) denote the probability that the gambler's fortune reaches N before 0. (a) Derive a formula that relates Pi) to Pi -1 and Pi 1) (b) Using the same approach...
1. Consider the following "Gambler's Ruin" problem. A gambler starts with a certain number of dollar bills between 1 and 5. During each turn of the game, there is a .55 chance that the gambler wil win a dollar, and a .45 chance that the gamble will lose a dollar. The game ends when the gambler has either S0 or S6. Let Xn represent the amount of money that the gambler has after turn n. (a) Give the one-step transition...
B2. Describe the basic ideas behind the gambler's ruin model. For an unfair game where the gambler has probability p of winning and q (1-p) of losing, show that the probability that the gambler attains a fortune of N starting from an initial sum of j is given by 1-(a/p) obtain a similar expression for φ, the probability that, starting from €, the gambler is ruined before reaching EN and show that dj+ ,-1 for all j 0,1, ,N. Explain...
An absorbing Markov Chain has 5 states where states #1 and #2 are absorbing states and the following transition probabilities are known: p3,2=0.1, p3, 3=0.4, p3,5=0.5 p4,1=0.1, p4,3=0.5, p4,4=0.4 p5,1=0.3, p5,2=0.2, p5,4=0.3, p5,5 = 0.2 (a) Let T denote the transition matrix. Compute T3. Find the probability that if you start in state #3 you will be in state #5 after 3 steps. (b) Compute the matrix N = (I - Q)-1. Find the expected value for the number of...
1.13. Consider the Markov chain with transition matrix: 1 0 0 0.1 0.9 2 0 0 0.6 0.4 3 0.8 0.2 0 0 4 0.4 0.6 0 0 (a) Compute p2. (b) Find the stationary distributions of p and all of the stationary distributions ofp2. (c) Find the limit of p2n(x, x) as n → oo.
(n)," 2 0) be the two-state Markov chain on states (. i} with transition probability matrix 0.7 0.3 0.4 0.6 Find P(X(2) 0 and X(5) X() 0)
The answer is one of the following: Please be descriptive! Thank you! 3. A Markov chain with state space S 1,2,3) has transition matrix 0.1 0.3 0.6 P-0 0.4 0.6 0.3 0.2 0.5 with initial distribution(0.2,0.3,0.5). Note that if you use the Markov Property, please indicate where you used it. Compute the following: (b) P(Xo 3| X1 1) Answers (in random order): 0.6,-2,-1,0, 1,2),5/36, 19/64,15/17.1/3 1-p p 1-p 0 1 00 0 1-p 0 114 0 3/4 1/21/2), 2/31/3). 0...
Consider a Markov chain with state space S = {1, 2, 3, 4} and transition matrix P= where (a) Draw a directed graph that represents the transition matrix for this Markov chain. (b) Compute the following probabilities: P(starting from state 1, the process reaches state 3 in exactly three time steps); P(starting from state 1, the process reaches state 3 in exactly four time steps); P(starting from state 1, the process reaches states higher than state 1 in exactly two...
Simulate a code through matlab the following problem. A random walk with P(X_n = i+1 | X_{n-1} = i) = .4, and P(X_n = i-1 | X_{n-1} = i) = .6. Find the mean and variance of the number of transitions needed to get from state 5 to state 0. Find the probability you reach 10 before you reach 0 starting from 5. Check this with the formula from the gambler's ruin problem.