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CHAPTER 9: Systems of Equations and Matrices 9.1 9.2 9.3 9.4 9.5 9.6 9.7 9.8 Systems of Equations in Two Variables Systems of Equations in Three Variables Matrices and Systems of Equations Matrix Operations Inverses of Matrices Determinants and Cramer’s Rule Systems of Inequalities and Linear Programming Partial Fractions Copyright © 2009 Pearson Education, Inc. 9.5 Inverses of Matrices Find the inverse of a square matrix, if it exists. Use inverses of matrices to solve systems of equations. Copyright © 2009 Pearson Education, Inc. The Identity Matrix Copyright © 2009 Pearson Education, Inc. Slide 9.5-4 Example 1 3 For A and I = 4 6 1 0 0 1 find each of the following. a) AI b) IA 1 3 1 0 0 1 4 6 1(1) 3(0) 1(0) 3(1) 4( 1 ) 6( 0 ) 4( 0 ) 6( 1) 1 3 A 4 6 Copyright © 2009 Pearson Education, Inc. 1 0 1 3 4 6 0 1 (1)(1) (0)(4) (1)(3) (0)(6) ( 0 )(1) ( 1 )( 4) ( 0 )(3) ( 1 )(6) 1 3 A 4 6 Slide 9.5-5 Inverse of a Matrix For an n n matrix A, if there is a matrix A1 for which A1 • A = I = A • A1, then A1 is the inverse of A. 3 4 7 4 Verify that B is the inverse of A . 5 7 5 3 We show that BA = I = AB. 3 4 7 4 1 BA = 5 7 5 3 0 7 4 3 4 1 AB 5 3 5 7 0 Copyright © 2009 Pearson Education, Inc. 0 1 0 1 Slide 9.5-6 Finding an Inverse Matrix To find an inverse, we first form an augmented matrix consisting of A on the left side and the identity matrix on the right side. 3 4 1 0 5 7 0 1 The 2 2 The 2 2 matrix A identity matrix Then we attempt to transform the augmented matrix to one of the form 1 0 a b 0 1 c d . Copyright © 2009 Pearson Education, Inc. Slide 9.5-7 Example Find A1, 3 4 where A = . 5 7 3 4 1 0 5 7 0 1 1 43 13 0 new row 1 = 13 (row 1) 5 7 0 1 1 0 4 3 1 3 1 3 5 3 0 1 new row 2 = 5(row 1) + row 2 Copyright © 2009 Pearson Education, Inc. Slide 9.5-8 Example continued 1 43 13 0 0 1 5 3 new row 2 = 3(row 2) 1 0 7 4 new row 1 = - 43 (row 2) + row 1 0 1 5 3 Thus, A1 7 4 = . 5 3 Copyright © 2009 Pearson Education, Inc. Slide 9.5-9 Notes If a matrix has an inverse, we say that it is invertible, or nonsingular. When we cannot obtain the identity matrix on the left using the Gauss-Jordan method, then no inverse exists. Copyright © 2009 Pearson Education, Inc. Slide 9.5-10 Solving Systems of Equations Matrix Solutions of Systems of Equations For a system of n linear equations in n variables, AX = B, if A is an invertible matrix, then the unique solution of the system is given by X = A1B. Since matrix multiplication is not commutative in general, care must be taken to multiply on the left by A1. Copyright © 2009 Pearson Education, Inc. Slide 9.5-11 Example Use an inverse matrix to solve the following system of equations: 3x + 4y = 5 5x + 7y = 9 We write an equivalent matrix, AX = B: 3 4 x 5 5 7 y 9 A X = B In the previous example we found Copyright © 2009 Pearson Education, Inc. A1 7 4 = . 5 3 Slide 9.5-12 Example continued We now have X = A1B. x 7 4 5 7(5) (4)(9) 1 y 5 3 9 5(5) 3(9) 2 The solution of the system of equations is (1, 2). Copyright © 2009 Pearson Education, Inc. Slide 9.5-13