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 Copyright © 2015, 2011, 2007 Pearson Education, Inc. Chapter 4-1 Systems of Equations and Inequalities Chapter 4.
Determinants King Saud University. The inverse of a 2 x 2 matrix Recall that earlier we noticed that for a 2x2 matrix,
Chapter 5 Determinants.
Chapter 7 Matrix Mathematics Matrix Operations Copyright © The McGraw-Hill Companies, Inc. Permission required for reproduction or display.
Copyright © 2006 Pearson Education, Inc
Copyright © 2007 Pearson Education, Inc. Slide 7-2 Chapter 7: Systems of Equations and Inequalities; Matrices 7.1Systems of Equations 7.2Solution of Linear.
Systems of Equations and Inequalities
Systems and Matrices (Chapter5)
Copyright © 2007 Pearson Education, Inc. Publishing as Pearson Addison-Wesley 7.1 Solving Systems of Two Equations.
TH EDITION LIAL HORNSBY SCHNEIDER COLLEGE ALGEBRA.
Copyright © 2007 Pearson Education, Inc. Slide 7-1.
Barnett/Ziegler/Byleen Finite Mathematics 11e1 Review for Chapter 4 Important Terms, Symbols, Concepts 4.1. Systems of Linear Equations in Two Variables.
Rev.S08 MAC 1140 Module 10 System of Equations and Inequalities II.
Matrix Inversion.
Copyright © 2011 Pearson, Inc. 7.3 Multivariate Linear Systems and Row Operations.
Slide Copyright © 2007 Pearson Education, Inc. Publishing as Pearson Addison-Wesley.
Matrix Algebra. Quick Review Quick Review Solutions.
Slide Chapter 7 Systems and Matrices 7.1 Solving Systems of Two Equations.
Copyright © 2007 Pearson Education, Inc. Publishing as Pearson Addison-Wesley Slide 7- 1.
Copyright © 2007 Pearson Education, Inc. Slide 7-1.
Copyright © 2007 Pearson Education, Inc. Slide 7-1.
1 © 2010 Pearson Education, Inc. All rights reserved © 2010 Pearson Education, Inc. All rights reserved Chapter 9 Matrices and Determinants.
Chapter 8 Matrices and Determinants Copyright © 2014, 2010, 2007 Pearson Education, Inc Matrix Operations and Their Applications.
Copyright © 2011 Pearson Education, Inc. Slide
WEEK 8 SYSTEMS OF EQUATIONS DETERMINANTS AND CRAMER’S RULE.
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.
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.
1 C ollege A lgebra Systems and Matrices (Chapter5) 1.
Chapter 9 Matrices and Determinants Copyright © 2014, 2010, 2007 Pearson Education, Inc Determinants and Cramer’s Rule.
Slide Copyright © 2007 Pearson Education, Inc. Publishing as Pearson Addison-Wesley.
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.
College Algebra Sixth Edition James Stewart Lothar Redlin Saleem Watson.
Slide Copyright © 2008 Pearson Education, Inc. Publishing as Pearson Addison-Wesley A set of equations is called a system of equations. The solution.
Chapter 2 Determinants. With each square matrix it is possible to associate a real number called the determinant of the matrix. The value of this number.
Copyright © 2011 Pearson Education, Inc. Publishing as Prentice Hall Chapter 5 More Work with Matrices
Chapter 7 Solving systems of equations substitution (7-1) elimination (7-1) graphically (7-1) augmented matrix (7-3) inverse matrix (7-3) Cramer’s Rule.
Goal: Find sums, differences, products, and inverses of matrices.
Copyright ©2015 Pearson Education, Inc. All rights reserved.
Copyright © 2011 Pearson Education, Inc. Slide
Copyright © 2010 Pearson Education, Inc. Publishing as Pearson Addison- Wesley Systems of Equations in Three Variables Identifying Solutions Solving Systems.
LEARNING OUTCOMES At the end of this topic, student should be able to :  D efination of matrix  Identify the different types of matrices such as rectangular,
Section 2.1 Determinants by Cofactor Expansion. THE DETERMINANT Recall from algebra, that the function f (x) = x 2 is a function from the real numbers.
Copyright © 1999 by the McGraw-Hill Companies, Inc. Barnett/Ziegler/Byleen College Algebra, 6 th Edition Chapter Seven Matrices & Determinants.
Determinants Every n  n matrix A is associated with a real number called the determinant of A, written  A . The determinant of a 2  2 matrix.
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 © 2001 by the McGraw-Hill Companies, Inc. Barnett/Ziegler/Byleen Precalculus: Functions & Graphs, 5 th Edition Chapter Nine Matrices & Determinants.
Chapter 7: Systems of Equations and Inequalities; Matrices
LINEAR ALGEBRA.
Chapter 7 Matrix Mathematics
Matrices, Determinants, and Cramer’s Rule
Barnett/Ziegler/Byleen College Algebra, 7th Edition
Copyright © Cengage Learning. All rights reserved.
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.
Chapter 7: Matrices and Systems of Equations and Inequalities
College Algebra Chapter 6 Matrices and Determinants and Applications
Chapter 7: Systems of Equations and Inequalities; Matrices
Chapter 4 Systems of Linear Equations; Matrices
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 7-3 Subscript notation for the matrix A The row 1, column 1 element is a 11 ; the row 2, column 3 element is a 23 ; and, in general, the row i, column j element is a ij. 7.5 Determinants and Cramer’s Rule

Copyright © 2007 Pearson Education, Inc. Slide Determinants of 2 × 2 Matrices Associated with every square matrix is a real number called the determinant of A. In this text, we use det A. The determinant of a 2 × 2 matrix A, is defined as

Copyright © 2007 Pearson Education, Inc. Slide 7-5 ExampleFind det A if Analytic Solution Graphing Calculator Solution 7.5 Determinants of 2 × 2 Matrices

Copyright © 2007 Pearson Education, Inc. Slide Determinant of a 3 × 3 Matrix The determinant of a 3 × 3 matrix A, is defined as

Copyright © 2007 Pearson Education, Inc. Slide 7-7 A method for calculating 3 × 3 determinants is found by re-arranging and factoring this formula. Each of the quantities in parentheses represents the determinant of a 2 × 2 matrix that is part of the 3 × 3 matrix remaining when the row and column of the multiplier are eliminated. 7.5 Determinant of a 3 × 3 Matrix

Copyright © 2007 Pearson Education, Inc. Slide The Minor of an Element The determinant of each 3 × 3 matrix is called a minor of the associated element. The symbol M ij represents the minor when the ith row and jth column are eliminated.

Copyright © 2007 Pearson Education, Inc. Slide 7-9 To find the determinant of a 3 × 3 or larger square matrix: 1.Choose any row or column, 2.Multiply the minor of each element in that row or column by a +1 or –1, depending on whether the sum of i + j is even or odd, 3.Then, multiply each cofactor by its corresponding element in the matrix and find the sum of these products. This sum is the determinant of the matrix. 7.5 The Cofactor of an Element Let M ij be the minor for element a ij in an n × n matrix. The cofactor of a ij, written A ij, is

Copyright © 2007 Pearson Education, Inc. Slide 7-10 ExampleEvaluate det, expanding by the second column. SolutionFirst find the minors of each element in the second column. 7.5 Finding the Determinant

Copyright © 2007 Pearson Education, Inc. Slide 7-11 Now, find the cofactor. The determinant is found by multiplying each cofactor by its corresponding element in the matrix and finding the sum of these products. 7.5 Finding the Determinant

Copyright © 2007 Pearson Education, Inc. Slide Cramer’s Rule for 2 × 2 Systems Note: Cramer’s rule does not apply if D = 0. For the system where, if possible,

Copyright © 2007 Pearson Education, Inc. Slide 7-13 ExampleUse Cramer’s rule to solve the system. Analytic Solution By Cramer’s rule, 7.5 Applying Cramer’s Rule to a System with Two Equations

Copyright © 2007 Pearson Education, Inc. Slide 7-14 The solution set is Graphing Calculator Solution Enter D, D x, and D y as matrices A, B, and C, respectively. 7.5 Applying Cramer’s Rule to a System with Two Equations

Copyright © 2007 Pearson Education, Inc. Slide Cramer’s Rule for a System with Three Equations For the system where