4-4 Matrices: Basic Operations A matrix is a rectangular array of numbers. The anatomy of a matrix col 1 col col 2 3 3 5 1 row 1 = 1 3 row 2 2 each element has a name: a11 a 21 a12 a 22 a13 a 23 row dimension: 2 column dimension: 3 dimensions of matrix: 2 3 ("two by three") a square matrix has the same number of rows as columns Operations on matrices Addition and subtraction 1 2 3 1 5 0 + 3 3 (element-by-element) 1 0 2 1 = 1 __ 2 __ 7 __ If dimensions are different, addition and subtraction are undefined 4-4 p. 1 Scalar multiplication Multiply a matrix by a number (element-by-element): 1 3 2 3 1 5 3 = __ 3 9 __ __ __ Matrix multiplication (row and column inner products): column 1 element (1,1) row 1 3 0 1 1 3 5 1 1 0 = 12 2 1 3 2 0 0 element (1,2) column 2 row 1 3 0 1 1 3 5 1 1 0 = 12 0 2 1 3 2 0 0 Important: for above product we have: (2 x 3 ) matrix ( 3 x 3) matrix boxed numbers have to be the same, or . . . product is undefined (inner product does not compute) Note: ( 2 x 3) ( 3 x 3 ) 4-4 = (2 x 3) = dimensions of product p. 2 Application of matrix multiplication The scenario: two factories, one in Austin, one in San Antonio each manufactures two kinds of skis: trick and slalom two manufacturing steps: fabricate and finish per-hour labor costs differ by step and location here are the numbers, arranged in two matrices: Time matrix Hourly labor costs matrix fabricate finish trick 6 1.5 fabricate slalom 4 1 finish Austin San Antonio 10 12 8 10 What does the product of above (2 x 2) matrices represent? Consider product element a11 = (6)(10) + (1.5)(8) = 72 Does it make sense to compute this inner product? Here’s the whole product matrix: Austin San Antonio trick 72 87 slalom 48 58 How would you describe what this matrix represents? What good is all this? 4-4 p. 3