Matrices: Basic Operations

4.4 Matrices: Basic Operations •Addition and subtraction of matrices •Product of a number k and a matrix M •Matrix Product. Addition and Subtraction of matrices   To add or subtract matrices, they must be of the same size mxn. To add matrices of the same size, add their corresponding entries. A + B = !" aij + bij #$  ! 1 2$ ! 4 5$ #" 5 2&% + #" 9 1&% = To subtract matrices of the same order, subtract their corresponding entries. The general rule is as follows using mathematical notation: A ! B = "# aij ! bij $% ! 1 2$ ! 4 5$ #" 5 2&% ' #" 9 1&% = More examples: " 4 !3 1 % " !1 2 3% $ ' $ ' 0 5 !2 + 6 !7 9 $ ' $ ' $ 5 !6 0 ' $ 0 !4 8 ' # & # & " 4 !3 1 % " !1 2 3% $ ' $ ' $ 0 5 !2 ' ! $ 6 !7 9 ' $ 5 !6 0 ' $ 0 !4 8 ' # & # & " 4 !3 1 % "1 5 % $ ' $ ' 0 5 !2 ! 3 7 $ ' $ ' $ 5 !6 0 ' $1 2 ' # & # & !"1 6 3#$ % !" % 2 3 1#$ Scalar Multiplication   The scalar product of a number k and a matrix A is the matrix denoted by kA, obtained by multiplying each entry of A by the number k . The number k is called a scalar. kA = !# kaij "$  Example: " !1 2 3% $ ' (!1) $ 6 !7 9 ' $ 0 !4 8 ' # & More Examples of scalar multiplication & addition: " !1 2 3% " 1 4 2 % $ ' $ ' $ 6 !7 9 ' + 3 $ 0 4 1 ' = $ 0 !4 8 ' $ 2 5 !1' # & # & " !1 2 3% "1 4 2 % $ ' $ ' (2) $ 6 !7 9 ' + (0) $ 0 4 1 ' = $ 0 !4 8 ' $ 2 5 !1' # & # & Alternate definition of subtraction of matrices: The definition of subtract of two real numbers a and b is a – b = a + (-1)b i.e. a plus negative b.  We can define subtraction of matrices similarly: If A and B are two matrices of the same dimensions, then A – B = A + (-1)B,  !1 2 $ ! 5 6 $ !1 2 $ !5 6$ # &'# &=# & + ('1) # &= "3 4 % "7 8 % "3 4 % "7 8 % Matrix product    The method of multiplication of matrices is not as intuitive and may seem strange, although this method is extremely useful in many mathematical applications. Matrix multiplication was introduced by an English mathematician named Arthur Cayley (1821-1895) . We will see shortly how matrix multiplication can be used to solve systems of linear equations. Row by column multiplication  1X4 row matrix multiplied by a 4X1 column matrix: Notice the manner in which corresponding entries of each matrix are multiplied: ! 6$ # 3& ( 4 2 3 1) # 5& = # & #" 2 &% Row by column multiplication 1Xn row matrix multiplied by a nX1 column matrix: ( a11 a12 ! b11 $ #b & 21 … a1n ) # & = # ! & #" b &% n1 Revenue of a car dealer  A car dealer sells four model types: A,B,C,D. On a given week, this dealer sold 10 cars of model A, 5 of model B, 8 of model C and 3 of model D. The selling prices of each automobile are respectively $12,500, $11,800, $15,900 and $25,300. Represent the data using matrices and use matrix multiplication to find the total revenue. Solution using matrix multiplication  We represent the number of each model sold using a row matrix (4X1) and we use a 1X4 column matrix to represent the sales price of each model. When a 4X1 matrix is multiplied by a 1X4 matrix, the result is a 1X1 matrix of a single number. !12,500 " #11,800 $ $ = [10(12,500) + 5(11,800) + 8(15,900) + 3(25,300)] = [387,100] [10 5 8 3]## 15,900 $ # $ 25,300 % & Matrix Product   If A is an m x p matrix and B is a p x n matrix, the matrix product of A and B denoted by AB is an m x n matrix whose element in the ith row and jth column is the real number obtained from the product of the Ith row of A and the jth column of B. If the number of columns of A does not equal the number of rows of B, the matrix product AB is not defined. Undefined matrix multiplication Why is this matrix multiplication not defined? More examples: 1 "3 1 !1# ! $2 0 3 % # 3 & ' # #& %2 6" %5$$ 4 $' Is Matrix Multiplication Commutative? !1 #3 # #& %2 6 " "3 1 !1# %5$$ $ % 2 0 3 & ' 4 $' Practical application   Suppose you a business owner and sell clothing. The following represents the number of items sold and the cost for each item: Use matrix operations to determine the total revenue over the two days: Monday: 3 T-shirts at $10 each, 4 hats at $15 each, and 1 pair of shorts at $20. Tuesday: 4 T-shirts at $10 each, 2 hats at $15 each, and 3 pairs of shorts at $20. Solution of practical application  Represent the information using two matrices: The product of the two matrices give the total revenue: Unit price of each item: !3 4" [10 15 20]## 4 2$$ #%1 3 $&  Qty sold of each item on Monday Qty sold of each item on Tuesday Then your total revenue for the two days is =[110 130] Price Quantity=Revenue Practical application  A company with manufacturing plants located in Mass. And Virginia has labor-hour and wage requirements for the manufacture of three types of boats: What is MN? Cutting Dept. 1 man boat 2 man boat 3 man boat Assemb. Package. Dept. Dept. ! .6 .6 .2 $ # 1 .9 .3& = M # & " 1.5 1.2 .4 % MA VA Cutting 17 14 ! $ Dept. Assemb. # & N = 12 10 Dept. # & Package. " 10 9 % Dept.