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3.6 – Multiply Matrices The product of two matrices A and B is defined provided the number of columns in A is equal to the number of rows in B. If A is an m x n matrix and B is an n x p matrix, then the product AB is an m x p matrix.

3.6 – Multiply Matrices

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3.6 – Multiply Matrices. The product of two matrices A and B is defined provided the number of columns in A is equal to the number of rows in B. If A is an m x n matrix and B is an n x p matrix, then the product AB is an m x p matrix. 3.6 – Multiply Matrices. Example 1: - PowerPoint PPT Presentation

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Page 1: 3.6 – Multiply Matrices

3.6 – Multiply MatricesThe product of two matrices A and B is

defined provided the number of columns in A is equal to the number of rows in B.

If A is an m x n matrix and B is an n x p matrix, then the product AB is an m x p matrix.

Page 2: 3.6 – Multiply Matrices

3.6 – Multiply MatricesExample 1:

State whether the product of AB is defined. If so, give the dimensions of AB.

a. A: 4x3, B: 3x2 b. A: 3x4, B: 3x2

c. A: 3x5, B:5x2 d. A: 3x4, B: 3x2

Page 3: 3.6 – Multiply Matrices

3.6 – Multiply Matrices

Page 4: 3.6 – Multiply Matrices

3.6 – Multiply MatricesExample 2:

Page 5: 3.6 – Multiply Matrices

3.6 – Multiply MatricesExample 3:

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3.6 – Multiply MatricesExample 4:

Using the given matrices, evaluate the expression.

a. A(B +C) b. AB + BC

Page 7: 3.6 – Multiply Matrices

3.6 – Multiply Matrices

Page 8: 3.6 – Multiply Matrices

3.6 – Multiply MatricesExample 5:

Two hockey teams submit equipment lists for the season as shown. Each stick costs $60, each puck costs $2, and each uniform costs $35. Use matrix multiplication to find the total cost of equipment for

each team.