Copyright © 2007 Pearson Education, Inc. Slide 7-1.

Slides:



Advertisements
Similar presentations
Copyright © 2009 Pearson Education, Inc. CHAPTER 9: Systems of Equations and Matrices 9.1 Systems of Equations in Two Variables 9.2 Systems of Equations.
Advertisements

1 Chapter 3 Matrix Algebra with MATLAB Basic matrix definitions and operations were covered in Chapter 2. We will now consider how these operations are.
4.2 Adding and Subtracting Matrices 4.3 Matrix Multiplication
Chapter 7 Matrix Mathematics Matrix Operations Copyright © The McGraw-Hill Companies, Inc. Permission required for reproduction or display.
Row 1 Row 2 Row 3 Row m Column 1Column 2Column 3 Column 4.
ECON 1150 Matrix Operations Special Matrices
Copyright © 2007 Pearson Education, Inc. Slide 7-1.
Rev.S08 MAC 1140 Module 10 System of Equations and Inequalities II.
Copyright © 2007 Pearson Education, Inc. Publishing as Pearson Addison-Wesley Slide 7- 1.
Chapter 5.7 Properties of Matrices. Basic Definitions It is necessary to use capital letters to name matrices. Also, subscript notation is often used.
TH EDITION LIAL HORNSBY SCHNEIDER COLLEGE ALGEBRA.
Copyright © 2013, 2009, 2005 Pearson Education, Inc. 1 5 Systems and Matrices Copyright © 2013, 2009, 2005 Pearson Education, Inc.
5 Systems and Matrices © 2008 Pearson Addison-Wesley. All rights reserved Sections 5.6–5.8.
Copyright © 2007 Pearson Education, Inc. Slide 7-1.
Chapter 8 Matrices and Determinants Copyright © 2014, 2010, 2007 Pearson Education, Inc Matrix Operations and Their Applications.
Copyright © 2007 Pearson Education, Inc. Slide 7-1.
Copyright © 2009 Pearson Education, Inc. CHAPTER 9: Systems of Equations and Matrices 9.1 Systems of Equations in Two Variables 9.2 Systems of Equations.
8.1 Matrices & Systems of Equations
Copyright © 2011 Pearson, Inc. 7.2 Matrix Algebra.
Matrices Addition & Subtraction Scalar Multiplication & Multiplication Determinants Inverses Solving Systems – 2x2 & 3x3 Cramer’s Rule.
1 C ollege A lgebra Systems and Matrices (Chapter5) 1.
Algebra 3: Section 5.5 Objectives of this Section Find the Sum and Difference of Two Matrices Find Scalar Multiples of a Matrix Find the Product of Two.
13.1 Matrices and Their Sums
Chapter 9 Matrices and Determinants Copyright © 2014, 2010, 2007 Pearson Education, Inc Determinants and Cramer’s Rule.
If A and B are both m × n matrices then the sum of A and B, denoted A + B, is a matrix obtained by adding corresponding elements of A and B. add these.
Slide Copyright © 2007 Pearson Education, Inc. Publishing as Pearson Addison-Wesley.
Chapter 6 Systems of Linear Equations and Matrices Sections 6.3 – 6.5.
Chapter 6 Matrices and Determinants Copyright © 2014, 2010, 2007 Pearson Education, Inc Matrix Operations and Their Applications.
Slide Copyright © 2009 Pearson Education, Inc. 7.3 Matrices.
Copyright © 2009 Pearson Education, Inc. CHAPTER 9: Systems of Equations and Matrices 9.1 Systems of Equations in Two Variables 9.2 Systems of Equations.
Section 4Chapter 4. 1 Copyright © 2012, 2008, 2004 Pearson Education, Inc. Objectives Solving Systems of Linear Equations by Matrix Methods Define.
Matrix Algebra Section 7.2. Review of order of matrices 2 rows, 3 columns Order is determined by: (# of rows) x (# of columns)
 6. Use matrices to represent and manipulate data, e.g., to represent payoffs or incidence relationships related in a network.  7. Multiply matrices.
Copyright © 2007 Pearson Education, Inc. Slide 7-1.
Sec 4.1 Matrices.
Copyright © Cengage Learning. All rights reserved. 2 SYSTEMS OF LINEAR EQUATIONS AND MATRICES.
Algebra Matrix Operations. Definition Matrix-A rectangular arrangement of numbers in rows and columns Dimensions- number of rows then columns Entries-
Copyright © 2011 Pearson Education, Inc. Publishing as Prentice Hall Chapter 5 More Work with Matrices
Goal: Find sums, differences, products, and inverses of matrices.
Copyright ©2015 Pearson Education, Inc. All rights reserved.
Linear System of Simultaneous Equations Warm UP First precinct: 6 arrests last week equally divided between felonies and misdemeanors. Second precinct:
Matrix Operations McDougal Littell Algebra 2 Larson, Boswell, Kanold, Stiff Larson, Boswell, Kanold, Stiff Algebra 2: Applications, Equations, Graphs Algebra.
Matrix Operations McDougal Littell Algebra 2 Larson, Boswell, Kanold, Stiff Larson, Boswell, Kanold, Stiff Algebra 2: Applications, Equations, Graphs Algebra.
Ch. 12 Vocabulary 1.) matrix 2.) element 3.) scalar 4.) scalar multiplication.
10.4 Matrix Algebra. 1. Matrix Notation A matrix is an array of numbers. Definition Definition: The Dimension of a matrix is m x n “m by n” where m =
Copyright © 2008 Pearson Addison-Wesley. All rights reserved. 5-1 Systems of Linear Equations 5.1 Linear Systems ▪ Substitution Method ▪ Elimination Method.
MTH108 Business Math I Lecture 20.
Chapter 7: Systems of Equations and Inequalities; Matrices
Properties and Applications of Matrices
MATRICES.
College Algebra Chapter 6 Matrices and Determinants and Applications
Chapter 7 Matrix Mathematics
Matrix Operations SpringSemester 2017.
Section 7.4 Matrix Algebra.
Matrix Algebra.
Chapter 7: Matrices and Systems of Equations and Inequalities
Chapter 7: Matrices and Systems of Equations and Inequalities
Lial/Hungerford/Holcomb/Mullins: Mathematics with Applications 11e Finite Mathematics with Applications 11e Copyright ©2015 Pearson Education, Inc. All.
Section 11.4 Matrix Algebra
Chapter 7: Matrices and Systems of Equations and Inequalities
Matrix Algebra.
3.5 Perform Basic Matrix Operations
Chapter 4 Matrices & Determinants
1.8 Matrices.
Matrix Operations Ms. Olifer.
Matrix Operations SpringSemester 2017.
1.8 Matrices.
3.5 Perform Basic Matrix Operations Algebra II.
Presentation transcript:

Copyright © 2007 Pearson Education, Inc. Slide 7-1

Copyright © 2007 Pearson Education, Inc. Slide 7-2 Chapter 7: Matrices and Systems of Equations and Inequalities 7.1Systems of Equations 7.2Solution of Linear Systems in Three Variables 7.3Solution of Linear Systems by Row Transformations 7.4Matrix Properties and Operations 7.5Determinants and Cramer’s Rule 7.6Solution of Linear Systems by Matrix Inverses 7.7Systems of Inequalities and Linear Programming 7.8Partial Fractions

Copyright © 2007 Pearson Education, Inc. Slide Matrix Properties and Operations Matrices are classified by their dimensions: the number of rows by the number of columns. A matrix with m rows and n columns has dimension m × n. e.g. The matrix has dimension 2×3. A square matrix has the same number of rows as it does columns. The dimension of a square matrix is n × n.

Copyright © 2007 Pearson Education, Inc. Slide Classifying Matrices by Dimension ExampleFind the dimension of each matrix. (a) The matrix is a 3 × 2 matrix. (b)The matrix is a 3 × 3 square matrix. (c)The matrix is a 1 × 5 row matrix.

Copyright © 2007 Pearson Education, Inc. Slide Determining Equality of Matrices Example SolutionTwo matrices are equal if they have the same dimension and if corresponding elements, position by position, are equal. This is true in this case if 2 = x, 1 = y, p = –1, and q = 0.

Copyright © 2007 Pearson Education, Inc. Slide Matrix Addition ExampleFind each sum. The sum of two m × n matrices A and B is the m × n matrix A + B in which each element is the sum of the corresponding elements of A and B.

Copyright © 2007 Pearson Education, Inc. Slide Matrix Addition Analytic Solution Graphing Calculator Solution

Copyright © 2007 Pearson Education, Inc. Slide Matrix Addition Analytic Solution Graphing Calculator Solution The calculator returns a dimension mismatch error.

Copyright © 2007 Pearson Education, Inc. Slide The Zero Matrix A matrix with only zero elements is called a zero matrix. For example, [0 0 0] is the 1 × 3 zero matrix while is the 2 × 3 zero matrix. The elements of matrix –A are the additive inverses of the elements of matrix A. For example, if

Copyright © 2007 Pearson Education, Inc. Slide Matrix Subtraction ExampleFind the difference of Solution If A and B are matrices with the same dimension, then A – B = A + (– B).

Copyright © 2007 Pearson Education, Inc. Slide Matrix Multiplication by a Scalar If a matrix A is added to itself, each element is twice as large as the corresponding element of A. In the last expression, the 2 in front of the matrix is called a scalar. A scalar is a special name for a real number.

Copyright © 2007 Pearson Education, Inc. Slide Matrix Multiplication by a Scalar ExamplePerform the multiplication Solution The product of a scalar k and a matrix A is the matrix kA, each of whose elements is k times the corresponding elements of A.

Copyright © 2007 Pearson Education, Inc. Slide Matrix Multiplication ExampleSuppose you are the manager of a video store and receive the following order from two distributors: from Wholesale Enterprises, 2 videotapes, 7 DVDs, and 5 video games; from Discount Distributors, 4 videotapes, 6 DVDs, and 9 video games. We can organize the information in table format and convert it to a matrix. or

Copyright © 2007 Pearson Education, Inc. Slide Matrix Multiplication Suppose each videotape costs the store $12, each DVD costs $18, and each video game costs $9. To find the total cost of the products from Wholesale Enterprises, we multiply as follows. The products from Wholesale Enterprises cost a total of $195.

Copyright © 2007 Pearson Education, Inc. Slide 7-15 The result is the sum of three products: 2($12) + 7($18) + 5($9) = $195. In the same way, using the second row of the matrix and the three costs gives the total from Discount Distributors: 4($12) + 6($18) + 9($9) = $237. The total costs from the distributors can be written as a column matrix. The product of matrices can be written as 7.4 Matrix Multiplication

Copyright © 2007 Pearson Education, Inc. Slide 7-16 The product AB can be found only if the number of columns of A is the same as the number of rows of B. 7.4 Matrix Multiplication The product AB of an m × n matrix A and an n × k matrix B is found as follows: To get the ith row, jth column element of AB, multiply each element in the ith row of A by the corresponding element in the jth column of B. The sum of these products will give the element of row i, column j of AB. The dimension of AB is m × k.

Copyright © 2007 Pearson Education, Inc. Slide 7-17 ExampleFind the product AB of the two matrices Analytic Solution A has dimension 2 × 3 and B has dimension 3 × 2, so they are compatible for multiplication. The product AB has dimension 2 × Matrix Multiplication

Copyright © 2007 Pearson Education, Inc. Slide Matrix Multiplication

Copyright © 2007 Pearson Education, Inc. Slide 7-19 ExampleUse the graphing calculator to find the product BA of the two matrices from the previous problem. Graphing Calculator Solution Notice AB  BA. 7.4 Matrix Multiplication

Copyright © 2007 Pearson Education, Inc. Slide 7-20 ExampleA contractor builds three kinds of houses, models X, Y, and Z, with a choice of two styles, colonial or ranch. Matrix A below shows the number of each kind of house the contractor is planning to build for a new 100-home subdivision. The amounts are shown in matrix B, while matrix C gives the cost in dollars for each kind of material. Concrete is measured in cubic yards, lumber in 1000 board feet, brick in 1000s, and shingles in 100 square feet. 7.4 Applying Matrix Algebra Colonial Ranch

Copyright © 2007 Pearson Education, Inc. Slide 7-21 (a)What is the total cost of materials for all houses of each model? (b)How much of each of the four kinds of material must be ordered? (c)Use a graphing calculator to find the total cost of the materials. 7.4 Applying Matrix Algebra Concrete Lumber Brick Shingles Cost per Unit

Copyright © 2007 Pearson Education, Inc. Slide Applying Matrix Algebra Solution (a)To find the materials cost for each model, first find AB, the total amount of each material needed for all the houses of each model. Concrete Lumber Brick Shingles

Copyright © 2007 Pearson Education, Inc. Slide 7-23 Multiplying the total amount of materials matrix AB and the cost matrix C gives the total cost of materials. 7.4 Applying Matrix Algebra Cost

Copyright © 2007 Pearson Education, Inc. Slide 7-24 (b)The totals of the columns of matrix AB will give a matrix whose elements represent the total amounts of each material needed for the subdivision. Call this matrix D, and write it as a row matrix. (c)The total cost of all materials is given by the product of matrix C, the cost matrix, and matrix D, the total amounts matrix. The total cost of the materials is $188, Applying Matrix Algebra