In Exercises 11–24, you are given a transition matrix P and initial distribution vector v. Find (a) the two-step transition matrix and (b) the distribution
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- Redo exercises 7 and 8 in section 8.3 of your textbook, about the small animal who lives in an area with woods and meadows, using the following data: If the animal is in the woods on one observation, then it is four times as likely to be in the woods as the meadows on the next observation. If the animal is in the meadows on one observation, then it is as likely to be in the meadows as the woods on the next observation. Assume that state 1 is being in the meadows and that state 2 is being in the woods. (1) Find the transition matrix for this Markov process. P = (2) If the animal is twice as likely to be in the meadows as in the woods, find the state vector X that represents this information? (3) Using the state vector determined in the preceding part as the initial state vector, find the probability that the animal is in the meadow on the third observation after the initial one. (4) If the probability that the animal will be the meadow at a specific point in time is 0.05, how many…arrow_forwardplease help me get through this question. i need the answer. thank youarrow_forwardIf the probability vector is [0.6 0.4 ] and the transition matrix is (0.5 0.5) (0.9 0.1), find the resulting 18th probability vector.arrow_forward
- Redo exercises 17 and 18 in section 8.1 of your textbook, about the small animal who lives in an area with woods and meadows, using the following data:If the animal is in the woods on one observation, then it is three times as likely to be in the woods as the meadows on the next observation. If the animal is in the meadows on one observation, then it is four times as likely to be in the meadows as the woods on the next observation.Assume that state 1 is being in the meadows and that state 2 is being in the woods. (A) If the animal is initially in the woods, what is the probability that it is in the woods on the next three observations? (B) If the animal is initially in the woods, what is the probability that it is in the meadow on the next three observations?arrow_forwardRedo exercises 17 and 18 in section 8.1 of your textbook, about the small animal who lives in an area with woods and meadows, using the following data: If the animal is in the woods on one observation, then it is twice as likely to be in the woods as the meadows on the next observation. If the animal is in the meadows on one observation, then it is three times as likely to be in the meadows as the woods on the next observation. Assume that state 1 is being in the meadows and that state 2 is being in the woods. (1) Find the transition matrix for this Markov process. (2) If the animal is initially in the woods, what is the probability that it is in the woods on the next three observations? (3) If the animal is initially in the woods, what is the probability that it is in the meadow on the next three observations?arrow_forwardUse the age transition matrix L and age distribution vector x1 to find the age distribution vectors x2 and x3. O 2 0 1 L = 16 X1 =| 16 16 X2 =arrow_forward
- The following data consists of a matrix of transition probabilities (P) of three competing companies, the initial market share state ℼ(1), and the equilibrium probability states. Assume that each state represents a firm (Company 1, Company 2, and Company 3, respectively) and the transition probabilities represent changes from one month to the next. The market share of Company 3 after three periods is a. 0.259 b. 0.261 c. 0.283 d. 0.296arrow_forwardPlease give me a solution..arrow_forwardConsider the transition matrix P = [0.11 1225 7 10 0.4 0.1 20.2 5 Find the steady state vector: 000 18arrow_forward
- 5.33 Refer to Exercise 5.27 and calculate the covariance between X and Y.arrow_forwardWhich of the transition matrices are regular? Select all that apply: A = [0.5 0.5 E = 0.6 0.4 O B 0.3 0.7] %3= 0.2 0.8 OD= 0.7 0.3arrow_forwardFind X, (the probability distribution of the system after two observations) for the distribution vector X, and the transition matrix T. 0.9 0.2 0.7 = T = 0.1 0.8 0.3 X2 =arrow_forward
- Elementary Linear Algebra (MindTap Course List)AlgebraISBN:9781305658004Author:Ron LarsonPublisher:Cengage LearningLinear Algebra: A Modern IntroductionAlgebraISBN:9781285463247Author:David PoolePublisher:Cengage Learning