Презентация Matrices: Basic Operations онлайн

Содержание слайда: Learning Objectives for Section 4.4 Matrices: Basic Operations The student will be able to perform addition and subtraction of matrices. The student will be able to find the scalar product of a number k and a matrix M. The student will be able to calculate a matrix product.

Содержание слайда: To add or subtract matrices, they must be of the same order, m x n. To add matrices of the same order, add their corresponding entries. To subtract matrices of the same order, subtract their corresponding entries. The general rule is as follows using mathematical notation: To add or subtract matrices, they must be of the same order, m x n. To add matrices of the same order, add their corresponding entries. To subtract matrices of the same order, subtract their corresponding entries. The general rule is as follows using mathematical notation:

Содержание слайда: Add the matrices Add the matrices

Содержание слайда: Add the matrices Add the matrices Solution: First note that each matrix has dimensions of 3x3, so we are able to perform the addition. The result is shown at right:

Содержание слайда: Now, we will subtract the same two matrices Now, we will subtract the same two matrices

Содержание слайда: Now, we will subtract the same two matrices Now, we will subtract the same two matrices

Содержание слайда: 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. In mathematical notation, 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. In mathematical notation,

Содержание слайда: Find (-1)A, where A = Find (-1)A, where A =

Содержание слайда: Find (-1)A, where A = Find (-1)A, where A =

Содержание слайда: The definition of subtraction of two real numbers a and b is a – b = a + (-1)b or “a plus the opposite of b”. We can define subtraction of matrices similarly: The definition of subtraction of two real numbers a and b is a – b = a + (-1)b or “a plus the opposite of b”. We can define subtraction of matrices similarly:

Содержание слайда: The example on the right illustrates this procedure for two 2x2 matrices. The example on the right illustrates this procedure for two 2x2 matrices.

Содержание слайда: Matrix Equations

Содержание слайда: Matrix Equations

Содержание слайда: The method of multiplication of matrices is not as intuitive and may seem strange, although this method is extremely useful in many mathematical applications. The method of multiplication of matrices is not as intuitive and may seem strange, although this method is extremely useful in many mathematical applications.

Содержание слайда: Introduced matrix multiplication Introduced matrix multiplication

Содержание слайда: In order to understand the general procedure of matrix multiplication, we will introduce the concept of the product of a row matrix by a column matrix. In order to understand the general procedure of matrix multiplication, we will introduce the concept of the product of a row matrix by a column matrix. A row matrix consists of a single row of numbers, while a column matrix consists of a single column of numbers. If the number of columns of a row matrix equals the number of rows of a column matrix, the product of a row matrix and column matrix is defined. Otherwise, the product is not defined.

Содержание слайда: Example: A row matrix consists of 1 row of 4 numbers so this matrix has four columns. It has dimensions 1 x 4. This matrix can be multiplied by a column matrix consisting of 4 numbers in a single column (this matrix has dimensions 4 x 1). Example: A row matrix consists of 1 row of 4 numbers so this matrix has four columns. It has dimensions 1 x 4. This matrix can be multiplied by a column matrix consisting of 4 numbers in a single column (this matrix has dimensions 4 x 1). 1x4 row matrix multiplied by a 4x1 column matrix. Notice the manner in which corresponding entries of each matrix are multiplied:

Содержание слайда: A car dealer sells four model types: A, B, C, D. In 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. A car dealer sells four model types: A, B, C, D. In 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.

Содержание слайда: 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 containing a single number. 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 containing a single number.

Содержание слайда: 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 i th row and j th column is the real number obtained from the product of the i th row of A and the j th 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. 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 i th row and j th column is the real number obtained from the product of the i th row of A and the j th 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.

Содержание слайда: The following is an illustration of the product of a 2x4 matrix with a 4x3. First, the number of columns of the matrix on the left must equal the number of rows of the matrix on the right, so matrix multiplication is defined. A row-by column multiplication is performed three times to obtain the first row of the product: 70 80 90. The following is an illustration of the product of a 2x4 matrix with a 4x3. First, the number of columns of the matrix on the left must equal the number of rows of the matrix on the right, so matrix multiplication is defined. A row-by column multiplication is performed three times to obtain the first row of the product: 70 80 90.

Содержание слайда:

Содержание слайда: Why is the matrix multiplication below not defined? Why is the matrix multiplication below not defined?

Содержание слайда: Why is the matrix multiplication below not defined? The answer is that the left matrix has three columns but the matrix on the right has only two rows. To multiply the second row [4 5 6] by the third column, 3 , there is no number to pair with 6 to multiply. 7 Why is the matrix multiplication below not defined? The answer is that the left matrix has three columns but the matrix on the right has only two rows. To multiply the second row [4 5 6] by the third column, 3 , there is no number to pair with 6 to multiply. 7

Содержание слайда: Given A = B = Given A = B = Find AB if it is defined:

Содержание слайда: Since A is a 2 x 3 matrix and B is a 3 x 2 matrix, AB will be a 2 x 2 matrix. Since A is a 2 x 3 matrix and B is a 3 x 2 matrix, AB will be a 2 x 2 matrix. 1. Multiply first row of A by first column of B: 3(1) + 1(3) +(-1)(-2)=8 2. First row of A times second column of B: 3(6)+1(-5)+ (-1)(4)= 9 3. Proceeding as above the final result is

Содержание слайда: Now we will attempt to multiply the matrices in reverse order: BA = ? Now we will attempt to multiply the matrices in reverse order: BA = ? We are multiplying a 3 x 2 matrix by a 2 x 3 matrix. This matrix multiplication is defined, but the result will be a 3 x 3 matrix. Since AB does not equal BA, matrix multiplication is not commutative.

Содержание слайда: 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: 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.

Содержание слайда: Represent the information using two matrices: The product of the two matrices gives the total revenue: Represent the information using two matrices: The product of the two matrices gives the total revenue: Then your total revenue for the two days is = [110   130] Price times Quantity = Revenue