Review the key concepts, formulae, and examples before starting your quiz.
🔑Concepts
The product of two matrices and is defined if the number of columns in is equal to the number of rows in .
Non-commutativity: In general, matrix multiplication is not commutative, meaning , even if both and are defined and have the same order.
Associative Law: For any three matrices and , the property holds whenever both sides of the equality are defined.
Distributive Law: For three matrices and , matrix multiplication is distributive over addition: and .
Existence of Multiplicative Identity: For every square matrix of order , there exists an identity matrix of the same order such that .
Zero Product: The product of two non-zero matrices can be a zero matrix. This differs from real numbers where implies or .
📐Formulae
💡Examples
Problem 1:
Given and , verify that .
Solution:
First, calculate : \begin{bmatrix} 1 & 0 \ 0 & -1 \end{bmatrix}\begin{bmatrix} 0 & 1 \ 1 & 0 \end{bmatrix}\begin{bmatrix} (1)(0) + (0)(1) & (1)(1) + (0)(0) \ (0)(0) + (-1)(1) & (0)(1) + (-1)(0) \end{bmatrix}\begin{bmatrix} 0 & 1 \ -1 & 0 \end{bmatrix} Next, calculate : \begin{bmatrix} 0 & 1 \ 1 & 0 \end{bmatrix}\begin{bmatrix} 1 & 0 \ 0 & -1 \end{bmatrix}\begin{bmatrix} (0)(1) + (1)(0) & (0)(0) + (1)(-1) \ (1)(1) + (0)(0) & (1)(0) + (0)(-1) \end{bmatrix}\begin{bmatrix} 0 & -1 \ 1 & 0 \end{bmatrix} Since , we have .
Explanation:
This example demonstrates the non-commutative property of matrix multiplication. Even though both matrices are square and the products are defined, the resulting matrices are different.
Problem 2:
Find the product if and .
Solution:
Multiply the matrices row by column: \begin{bmatrix} 0 & -1 \ 0 & 2 \end{bmatrix}\begin{bmatrix} 3 & 5 \ 0 & 0 \end{bmatrix}\begin{bmatrix} (0)(3) + (-1)(0) & (0)(5) + (-1)(0) \ (0)(3) + (2)(0) & (0)(5) + (2)(0) \end{bmatrix}\begin{bmatrix} 0 & 0 \ 0 & 0 \end{bmatrix}
Explanation:
This shows that the product of two non-zero matrices and can result in a zero matrix . Unlike in scalar algebra, does not necessarily mean or .