
Finite Mathematics & Its Applications (12th Edition)
12th Edition
ISBN: 9780134507125
Author: Goldstein
Publisher: PEARSON
expand_more
expand_more
format_list_bulleted
Question
Chapter 8.1, Problem 4E
To determine
The provided matrix,
Expert Solution & Answer

Want to see the full answer?
Check out a sample textbook solution
Students have asked these similar questions
3.11 (B). A beam, 12 m long, is to be simply supported at 2m from each end and to
carry a U.d.l of 30kN/m together with a 30 KN point load at the right-hand end.
For ease of transportation the beam is to be jointed in two places, one joint being
Situated 5 m from the left-hand end. What load (to the nearest KN) must be
applied to the left-hand end to ensure that there is no B.M. at the joint (i.e. the
joint is to be a point of contraflexure)? What will then be the best position on the
beam for the other joint? Determine the position and magnitude of the maximum
B.M. present on the beam. [114 KN, 1.6 m from r.h. reaction; 4.7 m from 1.h. reaction;
43.35 KN m.]
2. Using vector algebraic operations, if
-
Ả = 2ây – mây – C
-
B = mây tây – 2,
C = ây + mây + 20,
D = m x + mây tậ
Z
Find the value(s) of m such that (a) Ả is
perpendicular to B (b) B is parallel to C
Match the division problem on the left with the correct quotient on the left.
Note that the denominators of the reminders are omitted and replaced with R.
1) (k3-10k²+k+1) ÷ (k − 1)
2) (k4-4k-28k45k+26)+(k+7)
3) (20k+222-7k+7)+(5k-2)
4) (3+63-15k +32k-25)+(k+4)
5) (317k 13) ÷ (k+4)
-
6) (k-k+8k+5)+(k+1)
7) (4-12k+6) + (k-3)
8) (3k+4k3 + 15k + 10) ÷ (3k+4)
A) 3k3-6k29k - 4
B) 4k2
+
6
R
7
C)²-9k-8- R
D) 4k2+6x+1+
E)
10
Elk³-5-12
R
9
F) k² - 4k R
9
R
G) k3-3k2-7k+4
H) k³-k²+8
-
3
R
-
R
9
R
Chapter 8 Solutions
Finite Mathematics & Its Applications (12th Edition)
Ch. 8.1 - 1. Is a stochastic matrix?
Ch. 8.1 - 2. Learning Process An elementary learning process...Ch. 8.1 - In Exercises 1-6, determine whether or not the...Ch. 8.1 - In Exercises 1-6, determine whether or not the...Ch. 8.1 - In Exercises 1-6, determine whether or not the...Ch. 8.1 - Prob. 4ECh. 8.1 - In Exercises 1-6, determine whether or not the...Ch. 8.1 - Prob. 6ECh. 8.1 - In Exercises 7–12, write a stochastic matrix...Ch. 8.1 - Prob. 8E
Ch. 8.1 - Prob. 9ECh. 8.1 - Prob. 10ECh. 8.1 - Prob. 11ECh. 8.1 - Prob. 12ECh. 8.1 - In Exercises 13–18, draw a transition diagram...Ch. 8.1 - Prob. 14ECh. 8.1 - Prob. 15ECh. 8.1 - Prob. 16ECh. 8.1 - Prob. 17ECh. 8.1 - Prob. 18ECh. 8.1 - Woman in the Labor Force Referring to Example 5,...Ch. 8.1 - Prob. 20ECh. 8.1 - Cell Phone Usag e A cell phone provider classifies...Ch. 8.1 - Health Plan Option A university faculty health...Ch. 8.1 - Population Movement The Southwestern states were...Ch. 8.1 - Prob. 24ECh. 8.1 - T-Maze Each day, mice are put into a T-maze (a...Ch. 8.1 - 26. Analysis of a Poem In 1913, Markov analyzed a...Ch. 8.1 - Taxi Zones Refer to Example 7 (taxi zones). If,...Ch. 8.1 - Fitness A group of physical fitness devotees works...Ch. 8.1 - 29. Political Views According to the Higher...Ch. 8.1 - 30. Student Residences According to the Higher...Ch. 8.1 - Prob. 31ECh. 8.1 - Prob. 32ECh. 8.1 - Prob. 33ECh. 8.1 - Prob. 34ECh. 8.1 - Ehrenfest Urn Model The Ehrenfest urn model was...Ch. 8.1 - Prob. 36ECh. 8.1 - Prob. 37ECh. 8.1 - Prob. 38ECh. 8.1 - Prob. 39ECh. 8.1 - Prob. 40ECh. 8.1 - Prob. 41ECh. 8.1 - Prob. 42ECh. 8.1 - Prob. 43ECh. 8.1 - Prob. 44ECh. 8.1 - Prob. 45ECh. 8.1 - Prob. 46ECh. 8.1 - Prob. 47ECh. 8.1 - Prob. 48ECh. 8.1 - Prob. 49ECh. 8.1 - Repeat Exercise 49 for the matrices of Exercise...Ch. 8.1 - Prob. 51ECh. 8.1 - Prob. 52ECh. 8.2 - Solutions can be found following the section...Ch. 8.2 - Solutions can be found following the section...Ch. 8.2 - Solutions can be found following the section...Ch. 8.2 - In Exercises 16, determine whether or not the...Ch. 8.2 - In Exercises 16, determine whether or not the...Ch. 8.2 - In Exercises 16, determine whether or not the...Ch. 8.2 - In Exercises 16, determine whether or not the...Ch. 8.2 - In Exercises 1–6, determine whether or not the...Ch. 8.2 - In Exercises 16, determine whether or not the...Ch. 8.2 - In Exercises 7–12, find the stable distribution...Ch. 8.2 - In Exercises 712, find the stable distribution for...Ch. 8.2 - In Exercises 712, find the stable distribution for...Ch. 8.2 - In Exercises 7–12, find the stable distribution...Ch. 8.2 - In Exercises 712, find the stable distribution for...Ch. 8.2 - In Exercises 712, find the stable distribution for...Ch. 8.2 - Prob. 13ECh. 8.2 - Voter Patterns Refer to Exercise 24 of Section...Ch. 8.2 - Prob. 15ECh. 8.2 - Computer Reliability A certain university has a...Ch. 8.2 - Brand Loyalty Suppose that 60% of people who own a...Ch. 8.2 - 18. Transportation Modes Commuters can get into...Ch. 8.2 - Weather Patterns The changes in weather from day...Ch. 8.2 - 20. Women in the Labor Force Refer to the...Ch. 8.2 - 21. Car Rentals The Day-by-Day car rental agency...Ch. 8.2 - 22. Fitness Refer to Exercise 28 of Section 8.1....Ch. 8.2 - Genetics With respect to a certain gene,...Ch. 8.2 - 24. Weather Patterns The day-to-day changes in...Ch. 8.2 - Prob. 25ECh. 8.2 - Prob. 26ECh. 8.2 - Birth Weights Refer to Exercise 33 of Section 8.1....Ch. 8.2 - Bird Migrations Figure 5 describes the migration...Ch. 8.2 - Prob. 29ECh. 8.2 - Prob. 30ECh. 8.2 - Prob. 31ECh. 8.2 - Prob. 32ECh. 8.3 - 1. When an absorbing stochastic matrix is...Ch. 8.3 - Prob. 2CYUCh. 8.3 - Is [1.400.2.10.4.9] an absorbing stochastic...Ch. 8.3 - In Exercises 14, determine whether the transition...Ch. 8.3 - In Exercises 14, determine whether the transition...Ch. 8.3 - In Exercises 1–4, determine whether the transition...Ch. 8.3 - Prob. 4ECh. 8.3 - Prob. 5ECh. 8.3 - In Exercises 58, determine whether the given...Ch. 8.3 - Prob. 7ECh. 8.3 - Prob. 8ECh. 8.3 - Prob. 9ECh. 8.3 - Prob. 10ECh. 8.3 - Prob. 11ECh. 8.3 - In Exercises 912, convert the absorbing stochastic...Ch. 8.3 - The matrices in Exercises 1318 are absorbing...Ch. 8.3 - Prob. 14ECh. 8.3 - Prob. 15ECh. 8.3 - The matrices in Exercises 1318 are absorbing...Ch. 8.3 - Prob. 17ECh. 8.3 - Prob. 18ECh. 8.3 - Prob. 19ECh. 8.3 - Gambler’s Ruin Exercises 19 and 20 refer to...Ch. 8.3 - Gambler’s Ruin Exercises 19 and 20 refer to...Ch. 8.3 - Prob. 22ECh. 8.3 - Mouse in a Maze A mouse is placed in one of the...Ch. 8.3 - Prob. 24ECh. 8.3 - 25. Class Standings Suppose that the ...Ch. 8.3 - Quality Control A manufacturer of precise...Ch. 8.3 - Prob. 27ECh. 8.3 - Job Mobility The managers in a company are...Ch. 8.3 - Prob. 29ECh. 8.3 - Prob. 30ECh. 8.3 - Collecting Quotations A soft drink manufacturer...Ch. 8.3 - Tennis Consider a game of tennis between player A...Ch. 8.3 - Prob. 33ECh. 8.3 - Repeat Exercise 33 for the matrix...Ch. 8 - 1. What is a Markov process?
Ch. 8 - Prob. 2FCCECh. 8 - Prob. 3FCCECh. 8 - Prob. 4FCCECh. 8 - Define regular stochastic matrix.Ch. 8 - 6. Define the stable matrix and the stable...Ch. 8 - Prob. 7FCCECh. 8 - Prob. 8FCCECh. 8 - Prob. 9FCCECh. 8 - Prob. 10FCCECh. 8 - Prob. 11FCCECh. 8 - In Exercises 16, determine whether or not the...Ch. 8 - Prob. 2RECh. 8 - Prob. 3RECh. 8 - Prob. 4RECh. 8 - Prob. 5RECh. 8 - In Exercises 16, determine whether or not the...Ch. 8 - Prob. 7RECh. 8 - Prob. 8RECh. 8 - Prob. 9RECh. 8 - Quality Control In a certain factory, some...Ch. 8 - Prob. 11RECh. 8 - 12. Mouse in a House Figure 1 gives the layout of...Ch. 8 - 13. Which of the following is the stable...Ch. 8 - Prob. 14RECh. 8 - Prob. 15RECh. 8 - Prob. 16RECh. 8 - Prob. 17RECh. 8 - Prob. 18RECh. 8 - Prob. 19RECh. 8 - Prob. 20RECh. 8 - Prob. 21RECh. 8 - Prob. 22RECh. 8 - Prob. 1PCh. 8 - Prob. 2PCh. 8 - Prob. 3PCh. 8 - We will now show that the product of any two ...Ch. 8 - Prob. 5PCh. 8 - We will now show that the product of any two ...Ch. 8 - Prob. 7P
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
- 1. Determine whether the following sets are subspaces of $\mathbb{R}^3$ under the operations of addition and scalar multiplication defined on $\mathbb{R}^3$. Justify your answers.(a) $W_1=\left\{\left(a_1, a_2, a_3\right) \in \mathbb{R}^3: a_1=3 a_2\right.$ and $\left.a_3=\mid a_2\right\}$(b) $W_2=\left\{\left(a_1, a_2, a_3\right) \in \mathbb{R}^3: a_1=a_3+2\right\}$(c) $W_3=\left\{\left(a_1, a_2, a_3\right) \in \mathbb{R}^3: 2 a_1-7 a_2+a_3=0\right\}$(d) $W_4=\left\{\left(a_1, a_2, a_3\right) \in \mathbb{R}^3: a_1-4 a_2-a_3=0\right\}$(e) $W_s=\left\{\left(a_1, a_2, a_3\right) \in \mathbb{R}^3: a_1+2 a_2-3 a_3=1\right\}$(f) $W_6=\left\{\left(a_1, a_2, a_3\right) \in \mathbb{R}^3: 5 a_1^2-3 a_2^2+6 a_3^2=0\right\}$arrow_forwardThe annual aggregate claim amount of an insurer follows a compound Poisson distribution with parameter 1,000. Individual claim amounts follow a Gamma distribution with shape parameter a = 750 and rate parameter λ = 0.25. 1. Generate 20,000 simulated aggregate claim values for the insurer, using a random number generator seed of 955.Display the first five simulated claim values in your answer script using the R function head(). 2. Plot the empirical density function of the simulated aggregate claim values from Question 1, setting the x-axis range from 2,600,000 to 3,300,000 and the y-axis range from 0 to 0.0000045. 3. Suggest a suitable distribution, including its parameters, that approximates the simulated aggregate claim values from Question 1. 4. Generate 20,000 values from your suggested distribution in Question 3 using a random number generator seed of 955. Use the R function head() to display the first five generated values in your answer script. 5. Plot the empirical density…arrow_forwardAnswer choices are: 35 7 -324 4 -9 19494 5 684 3 -17 -3 20 81 15 8 -1 185193arrow_forward
- 100% sure expert solve it correct complete solutions don't use chat gptarrow_forward8 For a sphere of radius r = a, find by integration (a) its surface area, (b) the centroid of the curved surface of a hemisphere, (c) the moment of inertia of the whole spherical shell about a diameter assuming constant area density, (d) the volume of the ball r≤a, (e) the centroid of a solid half ball.arrow_forward7 (a) Find the moment of inertia of a circular disk of uniform density about an axis through its center and perpendicular to the plane of the disk. (b) Find the moment of inertia of a solid circular cylinder of uniform density about its central axis. (c) theorem. Do (a) by first calculating the moment of inertia about a diameter and then using the perpendicular axisarrow_forward
- Both find out Only 100% sure experts solve it correct complete solutions okkk don't use chat gpt or other ai okkarrow_forward3 Evaluate the double integral 10 y√x dy dx. First sketch the area of the integral involved, then carry out the integral in both ways, first over x and next over y, and vice versa.arrow_forwardNo chatgpt pls will upvotearrow_forward
- Only 100% sure experts solve it correct complete solutions okkk don't use chat gpt or other ai okkarrow_forwardQuestion 2. i. Suppose that the random variable X takes two possible values 1 and -1, and P(X = 1) = P(X-1)=1/2. Let Y=-X. Are X and Y the same random variable? Do X and Y have the same distribution? Explain your answer. ii. Suppose that the random variable X~N(0, 1), let Y=-X. Are X and Y the same random variable? Do X and Y have the same distribution? Explain your answer.arrow_forwardProblem 4. Let f(x, y) = { Find P(X <1/2|Y = 1/2). c(x + y²) 0arrow_forwardarrow_back_iosSEE MORE QUESTIONSarrow_forward_ios
Recommended textbooks for you
- Linear Algebra: A Modern IntroductionAlgebraISBN:9781285463247Author:David PoolePublisher:Cengage LearningElementary Linear Algebra (MindTap Course List)AlgebraISBN:9781305658004Author:Ron LarsonPublisher:Cengage Learning

Linear Algebra: A Modern Introduction
Algebra
ISBN:9781285463247
Author:David Poole
Publisher:Cengage Learning

Elementary Linear Algebra (MindTap Course List)
Algebra
ISBN:9781305658004
Author:Ron Larson
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