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[2020-02-05 Wed 21:18]
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Session 10: Meaning of Matrix Multiplication | Part B: Matrices and Systems of Equations | 1. Vectors and Matrices | Multivariable Calculus | Mathematics | MIT OpenCourseWare

1 Chalkboard

Figure 1: What represent matrix multiplication

Figure 1: What represent matrix multiplication

Figure 2: Matrix identity and plane rotation by matrix multiplication

Figure 2: Matrix identity and plane rotation by matrix multiplication

Figure 3: Continuous apply of rotation by matrix multiplication

Figure 3: Continuous apply of rotation by matrix multiplication

2 Can we use the distributive law with matrix multiplication?

2.1 Front

Can we use the distributive law with matrix multiplication?

\(A(B + C) = AB + AC\)

2.2 Back

  • Yes, it’s valid

3 Can we use the associative law with matrix multiplication?

3.1 Front

Can we use the associative law with matrix multiplication?

\((AB)C = A(BC)\)

3.2 Back

  • Yes

4 Which is the identity matrix of order 3?

4.1 Front

Which is the identity matrix of order 3?

4.2 Back

  • \(IA = AI = A\)

5 Can we use the commutative law with matrix multiplication?

5.1 Front

Can we use the commutative law with matrix multiplication?

\(AB = BA\)

5.2 Back

No, we can’t. The order it’s very important

  • \(AB \neq BA\)
  • Exception: when we are multiply be identity matrix
    • \(AI = AI = A\)

6 Which is the determinant of the result of a matrix multiplication?

6.1 Front

Which is the determinant of the result of a matrix multiplication?

  • \(|AB|\)
  • \(\det(AB)\)

6.2 Back

  • \(|AB| = |A||B|\)
  • \(\det(AB) = \det(A) \det(B)\)

It’s difficult to proof with \(n \times n\) matrices

7 How we can get an specific row or column of a matrix?

7.1 Front

How we can get an specific row or column of a matrix?

Tip: Using matrix multiplication

7.2 Back

8 What are the laws and properties of matrix multiplication?

8.1 Front

What are the laws and properties of matrix multiplication?

Enumerate all laws and properties

8.2 Back

  • Distributive law
    • \(A(B + C) = AB + AC\)
  • Associative law
    • \((AB)C = A(BC)\)
  • Identity matrix
    • Diagonal of matrix is \(1\)
  • No commutative law
    • \(AB \neq BA\)
    • Exception: \(IA = AI = A\)
  • Determinant law
    • \(|AB| = |A||B|\)
    • \(\det(AB) = \det(A)\det(B)\)
  • Extract one column or row

9 What are the matrix operations?

9.1 Front

What are the matrix operations?

Enumerate all matrix operations

9.2 Back

  • Scalar multiplication
  • Matrix addition
  • Transposition
  • Matrix multiplication

10 How can we show that one vector counterclockwise from another?

10.1 Front

How can we show that one vector counterclockwise from another?

It’s \(\vb{v_1}\) counterclockwise from \(\vb{v_2}\)

10.2 Back

  • Using cross product
  • \(\vb{v_2} \cross \vb{v_1}\)
    • If it’s positive, \(\vb{v_2}\) counterclockwise from \(\vb{v_1}\)
    • If it’s negative, \(\vb{v_2}\) clockwise from \(\vb{v_2}\)

11 What represent a matrix multiplication?

11.1 Front

What represent a matrix multiplication?

\(AB\)

11.2 Back

  • Do transformation B, then transformation A
  • Transformation is produced from right to left
  • Similar to function composition