Finite Mathematics for the Managerial, Life, and Social Sciences
12th Edition
ISBN: 9781337405782
Author: Soo T. Tan
Publisher: Cengage Learning
expand_more
expand_more
format_list_bulleted
Videos
Question
Chapter 9.CRE, Problem 1CRE
To determine
Whether the matrix
Expert Solution & Answer
Want to see the full answer?
Check out a sample textbook solution
Students have asked these similar questions
De
termine if P =
is a regular stochastic matrix.
Determine if the following matrix is a regular stochastic matrix. *
1
P =
.2
.8
O False
True
O No Idea
Let us consider the population of people living in a city and its suburb and the migration within this population
from the city and the suburbs to the city and the suburbs. The migration of these populations from and to
each other is given by a stochastic matrix
[.95 .03]
P =
|.05 .97
The entries in this matrix were obtained from collected data that demonstrates individuals are 95 % likely to
remain in the city, 5 % likely to move from the city to the suburbs, 3 % likely to move from the suburbs to
the city, and 97 % likely to remain in the suburbs.
Now suppose in the year 2000 60 % or .6 percent of people live in the city and 40 % or .4 percent of people
live in the suburbs. What will be the percentage of people living in the city be in the year 2001? What will
be the percentage of people living in the suburbs be in 2002?
Hint: Recall, for a general Markov Chain (S, ro, P) the initial vector ro is required to merely be a probability
vector, that is, a vector whose entries add up to 1.…
Chapter 9 Solutions
Finite Mathematics for the Managerial, Life, and Social Sciences
Ch. 9.1 - What is a finite stochastic process? What can you...Ch. 9.1 - Prob. 2CQCh. 9.1 - Consider a transition matrix T for a Markov chain...Ch. 9.1 - Prob. 1ECh. 9.1 - Prob. 2ECh. 9.1 - Prob. 3ECh. 9.1 - Prob. 4ECh. 9.1 - Prob. 5ECh. 9.1 - Prob. 6ECh. 9.1 - Prob. 7E
Ch. 9.1 - Prob. 8ECh. 9.1 - Prob. 9ECh. 9.1 - In Exercises 1-10, determine which of the matrices...Ch. 9.1 - Prob. 11ECh. 9.1 - Prob. 12ECh. 9.1 - Prob. 13ECh. 9.1 - Prob. 14ECh. 9.1 - Prob. 15ECh. 9.1 - In Exercises 1518, find X2 the probability...Ch. 9.1 - Prob. 17ECh. 9.1 - Prob. 18ECh. 9.1 - Prob. 19ECh. 9.1 - Prob. 20ECh. 9.1 - Political Polls: Morris Polling conducted a poll 6...Ch. 9.1 - Commuter Trends: In a large metropolitan area, 20...Ch. 9.1 - Prob. 23ECh. 9.1 - Prob. 24ECh. 9.1 - Prob. 25ECh. 9.1 - MARKET SHARE OF AUTO MANUFACTURERES In a study of...Ch. 9.1 - Prob. 27ECh. 9.1 - Homeowners choice of Energy: A study conducted by...Ch. 9.1 - In Exercises 29 and 30, determine whether the...Ch. 9.1 - Prob. 30ECh. 9.1 - Prob. 1TECh. 9.1 - Prob. 2TECh. 9.1 - Prob. 3TECh. 9.1 - Prob. 4TECh. 9.2 - What is a A steady state distribution vector, b a...Ch. 9.2 - Prob. 2CQCh. 9.2 - Prob. 1ECh. 9.2 - Prob. 2ECh. 9.2 - Prob. 3ECh. 9.2 - Prob. 4ECh. 9.2 - Prob. 5ECh. 9.2 - Prob. 6ECh. 9.2 - Prob. 7ECh. 9.2 - Prob. 8ECh. 9.2 - Prob. 9ECh. 9.2 - Prob. 10ECh. 9.2 - Prob. 11ECh. 9.2 - Prob. 12ECh. 9.2 - Prob. 13ECh. 9.2 - Prob. 14ECh. 9.2 - Prob. 15ECh. 9.2 - Prob. 16ECh. 9.2 - Prob. 17ECh. 9.2 - COMMUTER TRENDS Within a large metropolitan area,...Ch. 9.2 - Prob. 19ECh. 9.2 - PROFESSIONAL WOMEN From data compiled over a...Ch. 9.2 - Prob. 21ECh. 9.2 - HOMEOWNERS' CHOICE OF ENERGY A study conducted by...Ch. 9.2 - NETWORK NEWS VIEWERSHIP A television poll was...Ch. 9.2 - Prob. 24ECh. 9.2 - GENETICS In a certain species of roses, a plant...Ch. 9.2 - Prob. 26ECh. 9.2 - Prob. 27ECh. 9.2 - Prob. 28ECh. 9.2 - Prob. 29ECh. 9.2 - Prob. 1TECh. 9.2 - Prob. 2TECh. 9.2 - Prob. 3TECh. 9.3 - What is an absorbing stochastic matrix?Ch. 9.3 - Prob. 2CQCh. 9.3 - Prob. 1ECh. 9.3 - Prob. 2ECh. 9.3 - Prob. 3ECh. 9.3 - Prob. 4ECh. 9.3 - Prob. 5ECh. 9.3 - Prob. 6ECh. 9.3 - Prob. 7ECh. 9.3 - Prob. 8ECh. 9.3 - Prob. 9ECh. 9.3 - Prob. 10ECh. 9.3 - Prob. 11ECh. 9.3 - In Exercises 9-14, rewrite each absorbing...Ch. 9.3 - Prob. 13ECh. 9.3 - Prob. 14ECh. 9.3 - Prob. 15ECh. 9.3 - Prob. 16ECh. 9.3 - Prob. 17ECh. 9.3 - Prob. 18ECh. 9.3 - Prob. 19ECh. 9.3 - Prob. 20ECh. 9.3 - Prob. 21ECh. 9.3 - Prob. 22ECh. 9.3 - Prob. 23ECh. 9.3 - Prob. 24ECh. 9.3 - Prob. 25ECh. 9.3 - Prob. 26ECh. 9.3 - GAME OF CHANCE Refer to Exercise 26. Suppose Diane...Ch. 9.3 - Prob. 28ECh. 9.3 - COLLEGE GRADUATION RATE: The registrar of...Ch. 9.3 - Prob. 30ECh. 9.3 - GENETICS Refer to Example 4. If the offspring are...Ch. 9.3 - Prob. 32ECh. 9.3 - Prob. 33ECh. 9.4 - a. What is the maximin strategy for the row player...Ch. 9.4 - Prob. 2CQCh. 9.4 - Prob. 1ECh. 9.4 - In Exercises 1-8, determine the maximin and...Ch. 9.4 - In Exercises 1-8, determine the maximin and...Ch. 9.4 - Prob. 4ECh. 9.4 - Prob. 5ECh. 9.4 - In Exercises 1-8, determine the maximin and...Ch. 9.4 - Prob. 7ECh. 9.4 - Prob. 8ECh. 9.4 - Prob. 9ECh. 9.4 - In Exercises 9-18, determine whether the...Ch. 9.4 - In Exercises 9-18, determine whether the...Ch. 9.4 - Prob. 12ECh. 9.4 - Prob. 13ECh. 9.4 - Prob. 14ECh. 9.4 - Prob. 15ECh. 9.4 - Prob. 16ECh. 9.4 - Prob. 17ECh. 9.4 - Prob. 18ECh. 9.4 - GAME OF MATCHING FINGERS Robin and Cathy play a...Ch. 9.4 - Prob. 20ECh. 9.4 - Prob. 21ECh. 9.4 - Prob. 22ECh. 9.4 - MARKET SHARE: Rolands Barber Shop and Charleys...Ch. 9.4 - In Exercises 24-26, determine whether the...Ch. 9.4 - Prob. 25ECh. 9.4 - Prob. 26ECh. 9.5 - Prob. 1CQCh. 9.5 - Prob. 2CQCh. 9.5 - Prob. 1ECh. 9.5 - Prob. 2ECh. 9.5 - Prob. 3ECh. 9.5 - Prob. 4ECh. 9.5 - In Exercises 1-6, the payoff matrix and strategies...Ch. 9.5 - Prob. 6ECh. 9.5 - Prob. 7ECh. 9.5 - Prob. 8ECh. 9.5 - The payoff matrix for a game is [332311121] a....Ch. 9.5 - The payoff matrix for a game is [423422352] a....Ch. 9.5 - Prob. 11ECh. 9.5 - Prob. 12ECh. 9.5 - In Exercises 11-16, find the optimal strategies, P...Ch. 9.5 - Prob. 14ECh. 9.5 - Prob. 15ECh. 9.5 - Prob. 16ECh. 9.5 - COIN-MATCHING GAME Consider the coin-matching game...Ch. 9.5 - INVESTMENT STRATEGIES As part of their investment...Ch. 9.5 - INVESTMENT STRATEGIES The Maxwells have decided to...Ch. 9.5 - CAMPAIGN STRATEGIES Bella Robinson and Steve...Ch. 9.5 - MARKETING STRATEGIES Two dentists, Lydia Russell...Ch. 9.5 - Prob. 22ECh. 9.5 - Prob. 23ECh. 9.CRQ - Prob. 1CRQCh. 9.CRQ - Prob. 2CRQCh. 9.CRQ - Fill in the blanks. The probabilities in a Markov...Ch. 9.CRQ - Fill in the blanks. A transition matrix associated...Ch. 9.CRQ - Prob. 5CRQCh. 9.CRQ - Prob. 6CRQCh. 9.CRQ - Prob. 7CRQCh. 9.CRQ - Prob. 8CRQCh. 9.CRQ - Prob. 9CRQCh. 9.CRQ - Prob. 10CRQCh. 9.CRE - Prob. 1CRECh. 9.CRE - Prob. 2CRECh. 9.CRE - Prob. 3CRECh. 9.CRE - Prob. 4CRECh. 9.CRE - Prob. 5CRECh. 9.CRE - Prob. 6CRECh. 9.CRE - In Exercises 7-10, determine whether the matrix is...Ch. 9.CRE - Prob. 8CRECh. 9.CRE - Prob. 9CRECh. 9.CRE - Prob. 10CRECh. 9.CRE - In Exercises 11-14, find the steady-state matrix...Ch. 9.CRE - Prob. 12CRECh. 9.CRE - Prob. 13CRECh. 9.CRE - Prob. 14CRECh. 9.CRE - Prob. 15CRECh. 9.CRE - Prob. 16CRECh. 9.CRE - Prob. 17CRECh. 9.CRE - Prob. 18CRECh. 9.CRE - Prob. 19CRECh. 9.CRE - Prob. 20CRECh. 9.CRE - Prob. 21CRECh. 9.CRE - Prob. 22CRECh. 9.CRE - Prob. 23CRECh. 9.CRE - Prob. 24CRECh. 9.CRE - Prob. 25CRECh. 9.CRE - Prob. 26CRECh. 9.CRE - Prob. 27CRECh. 9.CRE - Prob. 28CRECh. 9.CRE - Prob. 29CRECh. 9.CRE - OPTIMIZING DEMAND The management of a divison of...Ch. 9.BMO - The transition matrix for a Markov process is...Ch. 9.BMO - Prob. 2BMOCh. 9.BMO - Prob. 3BMOCh. 9.BMO - Prob. 4BMOCh. 9.BMO - The payoff matrix for a certain game is A=[213234]...Ch. 9.BMO - Prob. 6BMO
Knowledge Booster
Learn more about
Need a deep-dive on the concept behind this application? Look no further. Learn more about this topic, subject and related others by exploring similar questions and additional content below.Similar questions
- Explain how you can determine the steady state matrix X of an absorbing Markov chain by inspection.arrow_forwardA medical researcher is studying the spread of a virusin a population of 1000 laboratory mice. During any week, there is an 80%probability that an infected mouse will overcome the virus, and during thesame week there is a 10% probability that a noninfected mouse will becomeinfected. Three hundred mice are currently infected with the virus. Pleaseanswer the following.1. What is the stochastic matrix that models this process?2. Compute how many mice will be infected next week.3. Compute how many mice will be infected in 3 weeks.4. Compute the steady-state matrix for this process.5. In the steady-state, how many mice are healthy and how many areinfected?arrow_forwardLet P be a 2 × 2 stochastic matrix. Prove that there exists a 2 × 1 state matrix X with nonnegative entries such that PX = X.arrow_forward
- PLease help, answer asap!! a. TRUE or FALSE: A stochastic matrix is a matrix that is square; all entries are greater than or equal to 0; and the sum of the entries in each column is 1. b. TRUE or FALSE: A regular matrix is a stochastic matrix that when raised to some power has all positive nonzero entries. c. TRUE or FALSE: An absorbing matrix is a stochastic matrix that has at least one absorbing state and it is possible to get to at least one absorbing state from any nonabsorbing state, either directly or indirectly. d. TRUE or FALSE: A polynomial interpolant is a model that can be found using an exact number of data points, n +1, for a polynomial of degree n e. TRUE or FALSE: The Method of Least-Squares is used for an overdetermined system of equations. f. TRUE or FALSE: The solution to a system of equations that results in parallel lines is no solution and is an inconsistent system. g. TRUE or FALSE: In order to find an exponential model, you must linearize the data and new data…arrow_forwardS be the 1 x n row matrix with a 1 in each column, S = [1 1 a. Explain why a vector x in TR" is a probability vector if and only if its entries are nonnegative and Sx = 1. (A 1 × 1 matrix such as the product Sx is usually written without the matrix bracket symbols.) b. Let P be an n xn stochastic matrix. Explain why SP = S. 1] c. Let P be an n x n stochastic matrix, and let x be a probability vector. Show that Px is also a probability vector.arrow_forwardConstruct a model of population flow between metropolitan and nonmetropolitan areas of the United States, given that their respective populations in 2012 were 255 million and 52 million. The probabilities are given by the matrix (from) (to) metro nonmetro [0.99 [0.01 0.02] metro 0.98 nonmetro Predict the population distributions of metropolitan and nonmetropolitan areas for the years 2013 through 2015 (in millions, to four decimal places). If a person was living in a metropolitan area in 2012, what is the probability that the person will still be living in a metropolitan area in 2015?arrow_forward
- What is the second row of the matrix A, if A is stochastic? Second row: 0.8 The steady state vector for A is If v= 0.5 [15] 26 then Av approaches as n gets large. A = [0.2 ? 0.5] ?arrow_forwardA cellphone provider classifies its customers as low users (less than 400 minutes per month) or high users (400 or more minutes per month). Studies have shown that 80% of people who were low users one month will be low users the next month, and that 70% of the people who were high users one month will high users next month. a. Set up a 2x2 stochastic matrix with columns and rows labeled L and H that displays these transitions b. Suppose that during the month of January, 50% of the customers are low users. What percent of customers will be low users in February? In March?arrow_forwardA cellphone provider classifies its customers as low users (less than 400 minutes per month) or high users (400 or more minutes per month). Studies have shown that 40% of people who were low users one month will be low users the next month and that 30% of the people who were high users one month will high users next month. a. Set up a 2x2 stochastic matrix with columns and rows labeled L and H that displays these transitions b. After many months, how many % of the customers are high usersarrow_forward
- (8) Every year, each employee at a large company must select one of two healthcare plans. It is expected that 15% of the employees currently using plan A will switch to plan B and that 25% of the employees currently using plan B will switch to plan A. Out of the company's 1000 employees, 450 are currently enrolled in plan A. (a) Use a stochastic matrix to predict how many employees will be enrolled in each plan next year. (b) Use a stochastic matrix to predict how many employees will be enrolled in each plan in five years.arrow_forwardOn any given day, a student is either healthy or ill. Of the students who are healthy today, 95% will be healthy tomorrow. Of the students who are ill today, 55% will still be ill tomorrow. Complete parts (a) through (c) below. a. What is the stochastic matrix for this situation? 0.95 0.45 .05 0.55 (Type an integer or decimal for each matrix element.) b. Suppose 10% of the students are ill on Monday. What percentage of the students are likely to be ill on Tuesday? On Wednesday? P= The percentage of students likely to be ill on Tuesday is (Round to the nearest tenth as needed.) %.arrow_forwardQ17. Suppose M is a stochastic matrix representing the probabilities of transitions each month. Compute the matrix of compounded transition probabilities for 3 months into the future, or M³. (Note, prior to multiplying matrices, the given components of M must be used to fill in the missing components [**] such that M is a stochastic matrix.) = M-[ What is m22 in the matrix M³? (Round to 3 decimal places.) 0.60 ** ** 0.60arrow_forward
arrow_back_ios
SEE MORE QUESTIONS
arrow_forward_ios
Recommended textbooks for you
Elementary Linear Algebra (MindTap Course List)AlgebraISBN:9781305658004Author:Ron LarsonPublisher:Cengage Learning
Linear Algebra: A Modern IntroductionAlgebraISBN:9781285463247Author:David PoolePublisher:Cengage Learning
Elementary Linear Algebra (MindTap Course List)
Algebra
ISBN:9781305658004
Author:Ron Larson
Publisher:Cengage Learning
Linear Algebra: A Modern Introduction
Algebra
ISBN:9781285463247
Author:David Poole
Publisher:Cengage Learning
Finite Math: Markov Chain Example - The Gambler's Ruin; Author: Brandon Foltz;https://www.youtube.com/watch?v=afIhgiHVnj0;License: Standard YouTube License, CC-BY
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