7.2 Matrix Algebra Copyright © 2011 Pearson, Inc. What you’ll learn about Matrices Matrix Addition and Subtraction Matrix Multiplication Identity and Inverse Matrices Determinant of a Square Matrix Applications … and why Matrix algebra provides a powerful technique to manipulate large data sets and solve the related problems that are modeled by the matrices. Copyright © 2011 Pearson, Inc. Slide 7.2 - 2 Matrix Copyright © 2011 Pearson, Inc. Slide 7.2 - 3 Matrix Vocabulary Each element, or entry, aij, of the matrix uses double subscript notation. The row subscript is the first subscript i, and the column subscript is j. The element aij is in the ith row and the jth column. In general, the order of an m n matrix is m n. Copyright © 2011 Pearson, Inc. Slide 7.2 - 4 Example Determining the Order of a Matrix What is the order of the following matrix? é1 4 5 ù ê ú ë3 5 6 û Copyright © 2011 Pearson, Inc. Slide 7.2 - 5 Example Determining the Order of a Matrix What is the order of the following matrix? é1 4 5 ù ê ú ë3 5 6 û The matrix has 2 rows and 3 columns so it has order 2 ´ 3. Copyright © 2011 Pearson, Inc. Slide 7.2 - 6 Matrix Addition and Matrix Subtraction Let A = éë aij ùû and B = éë bij ùû be matrices of order m ´ n. 1. The sum A + B is the m ´ n matrix A + B = éë aij + bij ùû . 2. The difference A - B is the m ´ n matrix A - B = éë aij - bij ùû . Copyright © 2011 Pearson, Inc. Slide 7.2 - 7 Example Matrix Addition é 1 2 3ù é 2 3 4 ù ê ú+ê ú ë4 5 6û ë5 6 7 û Copyright © 2011 Pearson, Inc. Slide 7.2 - 8 Example Matrix Addition é 1 2 3ù é 2 3 4 ù ê ú+ê ú ë4 5 6û ë5 6 7 û é1+ 2 2 + 3 3 + 4 ù é 3 5 7 ù A+ B = ê ú=ê ú ë 4 + 5 5 + 6 6 + 7 û ë9 11 13û Copyright © 2011 Pearson, Inc. Slide 7.2 - 9 Example Using Scalar Multiplication é 1 2 3ù 3ê ú ë4 5 6û Copyright © 2011 Pearson, Inc. Slide 7.2 - 10 Example Using Scalar Multiplication é 1 2 3ù 3ê ú ë4 5 6û é 3×1 3× 2 3× 3ù é 3 6 9 ù =ê ú=ê ú ë3× 4 3×5 3× 6 û ë12 15 18 û Copyright © 2011 Pearson, Inc. Slide 7.2 - 11 The Zero Matrix The m ´ n matrix O = [0] consisting entirely of zeros is the zero matrix. Copyright © 2011 Pearson, Inc. Slide 7.2 - 12 Additive Inverse Let A = éë aij ùû be any m ´ n matrix. The m ´ n matrix B = éë aij ùû consisting of the additive inverses of the entries of A is the additive inverse of A because A + - B = O. Copyright © 2011 Pearson, Inc. Slide 7.2 - 13 Matrix Multiplication Let A = éë aij ùû be any m ´ r matrix and B = éë bij ùû be any r ´ n matrix. The product AB = éë cij ùû is the m ´ n matrix where cij = ai1b1 j +ai2 b2 j + ... + air brj . Copyright © 2011 Pearson, Inc. Slide 7.2 - 14 Example Matrix Multiplication Find the product AB if possible. é1 2 3 ù A= ê ú ë0 1 -1û Copyright © 2011 Pearson, Inc. é1 0 ù ê ú and B = ê 2 1 ú êë 0 -1úû Slide 7.2 - 15 Example Matrix Multiplication é1 2 3 ù A= ê ú ë0 1 -1û é1 0 ù ê ú and B = ê 2 1 ú êë 0 -1úû The number of columns of A is 3 and the number of rows of B is 3, so the product is defined. The product AB = éë cij ùû is a 2 ´ 2 matrix where é1ù ê ú é ù c11 = ë1 2 3û ê 2 ú = 1×1+ 2 × 2 + 3× 0 = 5, êë 0 úû Copyright © 2011 Pearson, Inc. Slide 7.2 - 16 Example Matrix Multiplication é1 2 3 ù A= ê ú ë0 1 -1û é1 0 ù ê ú and B = ê 2 1 ú êë 0 -1úû é0ù ê ú c12 = éë1 2 3ùû ê 1 ú = 1× 0 + 2 ×1+ 3× -1 = -1, êë -1úû é1ù ê ú c21 = éë0 1 -1ùû ê 2 ú = 0 ×1+ 1× 2 + -1× 0 = 2, êë 0 úû Copyright © 2011 Pearson, Inc. Slide 7.2 - 17 Example Matrix Multiplication é1 2 3 ù A= ê ú ë0 1 -1û é1 0 ù ê ú and B = ê 2 1 ú êë 0 -1úû é0ù ê ú c22 = éë0 1 -1ùû ê 1 ú = 0 × 0 + 1×1+ -1× -1 = 2. êë -1úû é 5 -1ù Thus AB = ê ú. ë2 2 û Copyright © 2011 Pearson, Inc. Slide 7.2 - 18 Identity Matrix Copyright © 2011 Pearson, Inc. Slide 7.2 - 19 Inverse of a Square Matrix Let A = éë aij ùû be an n ´ n matrix. If there is a matrix B such that AB = BA = I n , then B is the inverse of A. We write B = A-1 . Copyright © 2011 Pearson, Inc. Slide 7.2 - 20 Inverse of a 2 × 2 Matrix If ad - bc ¹ 0, then -1 éa b ù 1 é d -b ù ê ú = ad - bc ê ú. ëc d û ë -c a û Copyright © 2011 Pearson, Inc. Slide 7.2 - 21 Determinant of a Square Matrix Let A = éë aij ùû be a matrix of order n ´ n (n > 2). The determinant of A, denoted by det A or | A | , is the sum of the entries in any row or any column multiplied by their respective cofactors. For example, expanding by the ith row gives det A =| A |= ai1 Ai1 + ai2 Ai2 + ... + ain Ain . Copyright © 2011 Pearson, Inc. Slide 7.2 - 22 Inverses of n n Matrices An n n matrix A has an inverse if and only if det A ≠ 0. Copyright © 2011 Pearson, Inc. Slide 7.2 - 23 Example Finding Inverse Matrices Determine whether the matrix has an inverse. If so, find its inverse matrix. é5 1ù A= ê ú ë8 3û Copyright © 2011 Pearson, Inc. Slide 7.2 - 24 Example Finding Inverse Matrices é5 1ù A= ê ú ë8 3û Since det A = ad - bc = 5× 3 - 1×8 = 7 ¹ 0, we conclude that A has an inverse. 1 é d -b ù 1 é 3 -1ù Use the formula A = = ê ê ú ad - bc ë -c a û 7 ë -8 5 úû é 3 1ù ê 7 -7ú =ê ú. ê- 8 5 ú êë 7 7 úû -1 Copyright © 2011 Pearson, Inc. Slide 7.2 - 25 Example Finding Inverse Matrices é5 1ù A= ê ú ë8 3û Check: é 3 é 15 8 1ù 3 3 ù - ú - ú ê ê é5 1ù 7 7 7 7 7 7 -1 A A= ê = úê ê ú ú ê - 8 5 ú ë8 3û ê - 40 + 40 - 8 + 15 ú êë 7 7 úû êë 7 7 7 7 úû é1 0 ù =ê ú = I2 ë0 1 û Similarly, AA-1 = I 2 . Copyright © 2011 Pearson, Inc. Slide 7.2 - 26 Properties of Matrices Let A, B, and C be matrices whose orders are such that the following sums, differences, and products are defined. 1. Commutative property Addition: A + B = B + A Multiplication: Does not hold in general 2. Associative property Addition: (A + B) + C = A + (B + C) Multiplication: (AB)C = A(BC) 3. Identity property Addition: A + O = A Multiplication: A·In = In·A = A Copyright © 2011 Pearson, Inc. Slide 7.2 - 27 Properties of Matrices Let A, B, and C be matrices whose orders are such that the following sums, differences, and products are defined. 4. Inverse property Addition: A + (–A) = O Multiplication: AA–1 = A–1A = In |A| ≠ 0 5. Distributive property Multiplication over addition: A(B + C) = AB + AC (A + B)C = AC + BC Multiplication over subtraction: A(B – C) = AB – AC (A – B)C = AC – BC Copyright © 2011 Pearson, Inc. Slide 7.2 - 28 Quick Review The points (a) (1, - 3) and (b) (x, y) are reflected across the given line. Find the coordinates of the reflected points. 1. The x-axis 2. The line y = x 3. The line y = -x Expand the expression, 4. sin(x + y) 5. cos(x + y) Copyright © 2011 Pearson, Inc. Slide 7.2 - 29 Quick Review Solutions The points (a) (1, - 3) and (b) (x, y) are reflected across the given line. Find the coordinates of the reflected points. 1. The x-axis (a) (1,3) (b) (x,- y) 2. The line y = x (a) ( - 3,1) (b) ( y, x) 3. The line y = -x (a) ( - 3, - 1) (b) (- y,-x) Expand the expression, 4. sin(x + y) sin x cos y + sin y cos x 5. cos(x + y) cos x cos y - sin x sin y Copyright © 2011 Pearson, Inc. Slide 7.2 - 30