Matrix Multiplication

Student-friendly explanation of matrix multiplication with conditions, rules, step-by-step examples, and clear notes showing how the row-by-column method works.

1. What Is Matrix Multiplication?

Matrix multiplication is a method of multiplying two matrices to get a new matrix. Unlike addition or subtraction, multiplication is not done entry-by-entry.

Instead, multiplication uses the row-by-column rule: each element of the product is formed by multiplying a row from the first matrix with a column from the second matrix.

2. Condition for Matrix Multiplication

You can multiply two matrices only if:

\( A_{m \times n} \times B_{p \times q} \)

The number of columns of the first matrix must equal the number of rows of the second matrix:

\( n = p \)

  • If this condition is not satisfied, multiplication is not defined.

The resulting matrix will have order:

\( m \times q \)

3. Rule of Matrix Multiplication (Row-by-Column)

If \( A = [a_{ij}] \) of order \( m \times n \) and \( B = [b_{ij}] \) of order \( n \times p \), then the product matrix \( AB = C = [c_{ij}] \) is obtained using:

\( c_{ij} = \sum_{k=1}^{n} a_{ik} b_{kj} \)

This means:

  • Take the i-th row of matrix A
  • Take the j-th column of matrix B
  • Multiply corresponding entries and add them up

4. Example 1: Multiplying a 2 × 3 Matrix with a 3 × 2 Matrix

Let:

\( A = \begin{bmatrix} 1 & 2 & 3 \\ 4 & 5 & 6 \end{bmatrix}, \quad B = \begin{bmatrix} 7 & 8 \\ 9 & 10 \\ 11 & 12 \end{bmatrix} \)

Here:

  • A is 2 × 3
  • B is 3 × 2

Since the inner numbers match (3 = 3), multiplication is possible.

4.1. Finding the (1,1) Element

1·7 + 2·9 + 3·11 = 7 + 18 + 33 = 58

4.2. Finding the (1,2) Element

1·8 + 2·10 + 3·12 = 8 + 20 + 36 = 64

4.3. Finding the (2,1) Element

4·7 + 5·9 + 6·11 = 28 + 45 + 66 = 139

4.4. Finding the (2,2) Element

4·8 + 5·10 + 6·12 = 32 + 50 + 72 = 154

4.5. Final Product Matrix

\( AB = \begin{bmatrix} 58 & 64 \\ 139 & 154 \end{bmatrix} \)

5. Example 2: Multiplying Square Matrices

Let:

\( X = \begin{bmatrix} 2 & -1 \\ 3 & 4 \end{bmatrix}, \quad Y = \begin{bmatrix} 1 & 5 \\ 0 & 2 \end{bmatrix} \)

Both are 2 × 2 matrices.

5.1. Computing the Product

  • \( (1,1): 2·1 + (-1)·0 = 2 \)
  • \( (1,2): 2·5 + (-1)·2 = 10 - 2 = 8 \)
  • \( (2,1): 3·1 + 4·0 = 3 \)
  • \( (2,2): 3·5 + 4·2 = 15 + 8 = 23 \)

5.2. Final Answer

\( XY = \begin{bmatrix} 2 & 8 \\ 3 & 23 \end{bmatrix} \)

6. Important Observations About Matrix Multiplication

Matrix multiplication has special rules:

  • Not commutative: \( AB \neq BA \) in general.
  • Associative: \( A(BC) = (AB)C \)
  • Distributive: \( A(B + C) = AB + AC \)
  • Identity matrix: \( AI = IA = A \)

Understanding these properties is essential for solving complex matrix expressions.