Review the key concepts, formulae, and examples before starting your quiz.
🔑Concepts
Matrix Order and Notation: A matrix of order is a rectangular array of numbers arranged in horizontal rows and vertical columns. The element represents the entry located at the intersection of the row and column. Visually, imagine a grid where the first index tells you how far down to go and the second index tells you how far across to go.
Matrix Addition: Addition is only defined for matrices of the same order. If and , then . Visually, this is like stacking two transparent grids of the same size and adding the numbers that overlap at each position. It follows the commutative law and the associative law .
Scalar Multiplication: Multiplying a matrix by a scalar (a real number) results in a matrix where every element is replaced by . Geometrically, this acts as a scaling factor that expands or contracts every value in the matrix grid uniformly.
Existence of Additive Identity and Inverse: The zero matrix (where every element is 0) serves as the additive identity such that . For every matrix , there exists an additive inverse (where every element is ) such that .
Matrix Multiplication Rule: Two matrices and can be multiplied to form if and only if the number of columns in is equal to the number of rows in . If is of order and is of order , the resulting matrix will be of order . Visually, you take the row of and 'dot product' it with the column of to find the element .
Properties of Matrix Multiplication: Multiplication is non-commutative in general, meaning is usually not equal to . However, it is associative and distributive over addition . The Identity matrix (a square matrix with 1s on the main diagonal and 0s elsewhere) acts as the multiplicative identity such that .
Properties of Scalar Multiplication: Scalar multiplication distributes over matrix addition, expressed as , and over the sum of scalars, expressed as . This ensures that linear combinations of matrices behave predictably during algebraic manipulation.
📐Formulae
Addition: , where
Scalar Multiplication:
Matrix Multiplication:
Additive Identity:
Multiplicative Identity:
Distributive Property: and
Scalar Distribution: and
💡Examples
Problem 1:
Given matrices and , find .
Solution:
Step 1: Find by multiplying every element of by 3. Step 2: Subtract matrix from element-wise.
Explanation:
This problem demonstrates scalar multiplication followed by matrix subtraction. Note how the signs change when subtracting a negative number in the bottom-left element.
Problem 2:
If and , calculate the product .
Solution:
Step 1: Check the orders. is and is . Since columns of (2) = rows of (2), multiplication is possible. The result will be . Step 2: Calculate each element using the row-by-column rule. For (Row 1 of and Column 1 of ): For (Row 2 of and Column 1 of ): Step 3: Write the final matrix.
Explanation:
This example shows the standard procedure for matrix multiplication. We sum the products of corresponding elements from the rows of the first matrix and the columns of the second.