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labapp02

Course: MATH 250, Fall 2008
School: Rutgers
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to Intro. Linear Algebra 250-C Extra Credit Project 2 -- Graphs and Markov Processes Introduction: In this project we will learn about the connection between linear algebra and market distribution. Suppose that, every day, there are three types of entrees that are offered at the local dining hall: Meat, Fish and Vegetarian. Students who eat at the dining hall choose any one of these entrees. Some of them choose...

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to Intro. Linear Algebra 250-C Extra Credit Project 2 -- Graphs and Markov Processes Introduction: In this project we will learn about the connection between linear algebra and market distribution. Suppose that, every day, there are three types of entrees that are offered at the local dining hall: Meat, Fish and Vegetarian. Students who eat at the dining hall choose any one of these entrees. Some of them choose the same type every time, while other students switch from time to time. The following directed graph below shows the percentages that stay and the percentages that switch. Here, M denotes Meat, F is for Fish and V is for (can you guess?) Vegetarian. 0.6 V 0.1 0.15 0.3 0.8 0.05 0.2 M 0.5 F 0.3 For example, the graph says that, of the students who order Meat on one day, 0.8 of them (that is, 80%) order Meat the next day, while 0.05 of them order Fish and 0.15 of them order Vegetarian. 1. If at Monday's lunch 50 students order Meat, 30 order Fish and 20 order Vegetarian, find out how many order each kind of entree at Tuesday's lunch. For example, the number ordering Meat will be 0.8(50) + 0.5(30) + 0.3(20) = 61 Note that the coefficients come from the arrows pointing toward the Meat vertex. 2. The above equation together with the two others you found can be written in matrix form y = Ax, 61 0.8 0.5 0.3 50 = 30 20 where x represents Monday's entree distribution, y represents Tuesday's entree distribution and A is the coefficient matrix. To find A and y, you need to fill in the eight missing 1 numbers. Note that the first component of the vectors x and y represent the number of Meat entrees, the second component represents the number of Fish and the third component represents the number of Vegetarian entrees. As a check, note that each column of A should sum up to 1 (why?). Use MATLAB to create the vectors x, y and the matrix A. 3. Describe the interpretation of the (2, 3) entry of the 3 3 matrix A in question 2 in terms of the changing diet preference. 4. The vector y gives us the entree distribution for Tuesday's lunch. How do we determine Wednesday's distribution? Using the same reasoning as above, we see that this is given by Ay. Use this idea to explain what entree distribution A2 x gives us. (Hint: A2 x = A(Ax)). 5. Use MATLAB to compute A2 . What do its entries represent? (Just describe the meaning of the (2, 3) entry in A2 ; the others are similar). 6. What are the distributions for Thursday's lunch? For Saturday Friday, and Sunday's lunches? Use MATLAB to calculate this. 7. If the dining hall manager counts 50 Meat, 30 Fish and 20 Vegetarian entrees eaten on Monday, for how many of each entree should the manager plan for the rest of the week? How do you write this in matrix form? Use MATLAB to do the calculations. We are now interested in seeing how the entree distribution changes over a long time (over months or years). From the above problems, we have seen that, if we start with some initial entree distribution x0 , then the next day's distribution is x1 = Ax0 . The distribution for the day after that is x2 = Ax1 , etc. This gives us a sequence x0 , x1 = Ax0 , x2 = Ax1 , . . . () 8. What does xk represent? Show that xk = Ak x0 for k = 1, 2, 3, . . .. The sequence of equations () is called a Markov process, and the matrix A is called the transition matrix for the process. 9. Using MATLAB, find Ak for k = 1, 2, 3, 5, 10, 20, 50, 100. What happens as k gets bigger and bigger? Fix a matrix that approximates limk Ak accurately to within 4 decimal places? Now compute Ak x0 for k = 1, 2, 3, 5, 10, 20, 50, 100 and x0 = [50, 30, 20]T . What happens to the distribution over time? Let x = lim xk = lim Ak x0 k k We call x the steady state vector. 10. Suppose that we had an initial distribution where all 100 students ate a Meat entree. What would x0 and x be in this case? Suppose that initially 50 students ate Fish, 50 students ate Vegetarian and 0 students ate Me...

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Rutgers - MATH - 250
revised 8/27/04Fall, 2004640:250C Introduction to Linear Algebra General Information(MATLAB Sections)Text: Spence, Insel & Friedberg Elementary Linear algebra: A Matrix Approach ISBN # 0-13-716722-9, Prentice-Hall, Upper Saddle River, NJ 0745
Rutgers - MATH - 250
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Rutgers - MATH - 250
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Rutgers - MATH - 250
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Rutgers - MATH - 250
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Rutgers - MATH - 250
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Rutgers - MATH - 250
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Rutgers - MATH - 250
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Rutgers - MATH - 250
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Rutgers - MATH - 250
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Rutgers - MATH - 250
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Rutgers - MATH - 250
Math 250-CMATLAB Assignment #51 Revised 11/13/02LAB 5: Eigenvalues and EigenvectorsIn this lab you will use MATLAB to study these topics: The geometric meaning of eigenvalues and eigenvectors of a matrix Determination of eigenvalues and eige
Rutgers - MATH - 250
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Rutgers - MATH - 250
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Rutgers - MATH - 250
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Rutgers - MATH - 250
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Rutgers - MATH - 250
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Rutgers - MATH - 250
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Rutgers - MATH - 250
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Rutgers - MATH - 250
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Rutgers - MATH - 250
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Rutgers - MATH - 250
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Rutgers - MATH - 250
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Rutgers - MATH - 250
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Rutgers - MATH - 250
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Rutgers - MATH - 250
Rutgers - MATH - 250
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Rutgers - MATH - 250
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Rutgers - MATH - 250
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Rutgers - MATH - 250
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Rutgers - MATH - 250
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Rutgers - MATH - 250
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Rutgers - MATH - 250
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Rutgers - MATH - 250
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Rutgers - MATH - 250
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Rutgers - MATH - 250
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Rutgers - MATH - 250
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Rutgers - MATH - 250
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Rutgers - MATH - 250
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Rutgers - MATH - 250
Math 250-CMATLAB Assignment #61 Revised 12/12/01LAB 6: Eigenvalues and EigenvectorsIn this lab you will use MATLAB to study three topics: The geometric meaning of eigenvalues and eigenvectors of a matrix Determination of eigenvalues and eige
Rutgers - MATH - 250
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Rutgers - MATH - 250
revised 1/10/05Spring, 2005640:250C Introduction to Linear Algebra General Information(MATLAB Sections)Text: Spence, Insel & Friedberg Elementary Linear algebra: A Matrix Approach ISBN # 0-13-716722-9, Prentice-Hall, Upper Saddle River, NJ 07
Rutgers - MATH - 250
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Rutgers - MATH - 250
revised 1/26/05Spring, 2005640:250 Introduction to Linear Algebra(MATLAB Sections)Text: Spence, Insel & Friedberg Elementary Linear Algebra: A Matrix Approach ISBN # 0-13-716722-9, Prentice-Hall, Upper Saddle River, NJ 07458SyllabusLecture
Rutgers - MATH - 250
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Rutgers - MATH - 250
revised 1/10/05Spring, 2005Math 250C Linear Algebra with MATLABText: Spence, Insel & Friedberg Elementary Linear Algebra: A Matrix Approach ISBN # 0-13-716722-9, Prentice-Hall, Upper Saddle River, NJ 07458 Section 1.1 1.2 1.3 1.4 1.6 1.7 2.1 2.3
Rutgers - MATH - 250
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Rutgers - MATH - 250
Math 250-CMATLAB Assignment #11 Revised 1/26/05LAB 1: Matrix and Vector Computations in MATLABIn this lab you will use MATLAB to study the following topics: How to create matrices and vectors in MATLAB. The commands to do this are short and e
Rutgers - MATH - 250
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Rutgers - MATH - 250
revised 1/9/06Spring, 2006640:250C Introduction to Linear Algebra General Information(MATLAB Sections)Text: Spence, Insel & Friedberg Elementary Linear algebra: A Matrix Approach ISBN # 0-13-716722-9, Prentice-Hall, Upper Saddle River, NJ 074
Rutgers - MATH - 250
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