Matrix multiplication (*) in MATLAB - Mini Project: Build & Apply

Matrix multiplication (*)

📖 Scenario: You work in a small company that analyzes sales data. You have two matrices: one with sales quantities and another with prices. You want to find the total sales amount for each product in each region.

🎯 Goal: Build a MATLAB program that multiplies two matrices using the * operator to calculate total sales amounts.

📋 What You'll Learn

Create two matrices with exact values

Create a variable for the result matrix

Use matrix multiplication operator *

Display the resulting matrix

💡 Why This Matters

🌍 Real World

Matrix multiplication is used in many fields like sales analysis, computer graphics, and engineering to combine data efficiently.

💼 Career

Understanding matrix multiplication is essential for data analysts, engineers, and scientists who work with numerical data and models.

1

Create the sales quantity matrix

Create a matrix called quantities with these exact values: [2 3; 4 5]

MATLAB

% Create the quantities matrix
% Your code here

Hint

Use square brackets and semicolons to create a 2x2 matrix.

2

Create the price matrix

Create a matrix called prices with these exact values: [10 20; 30 40]

MATLAB

quantities = [2 3; 4 5];
% Create the prices matrix
% Your code here

Hint

Use the same matrix format as before for prices.

3

Multiply the matrices

Create a variable called total_sales that stores the result of multiplying quantities by prices using the * operator

MATLAB

quantities = [2 3; 4 5];
prices = [10 20; 30 40];
% Multiply quantities and prices matrices
% Your code here

Hint

Use the * operator to multiply matrices in MATLAB.

4

Display the total sales matrix

Use disp(total_sales) to display the total_sales matrix

MATLAB

quantities = [2 3; 4 5];
prices = [10 20; 30 40];
total_sales = quantities * prices;
% Display the total_sales matrix
% Your code here

Hint

Use disp() to print matrices in MATLAB.

Practice

1. Which of the following statements about matrix multiplication in MATLAB is correct?

easy

A. Matrix multiplication uses the operator .* in MATLAB.

B. The number of columns in the first matrix must equal the number of rows in the second matrix.

C. You can multiply any two matrices regardless of their sizes.

D. Matrix multiplication always produces a matrix of the same size as the first matrix.

Solution

1. Step 1: Understand matrix multiplication size rules

   Matrix multiplication requires the number of columns in the first matrix to match the number of rows in the second matrix.

2. Step 2: Identify correct operator and output size

   The operator for matrix multiplication is *, not .*, and the output size depends on the rows of the first and columns of the second matrix.

3. Final Answer:

   The number of columns in the first matrix must equal the number of rows in the second matrix. -> Option B

4. Quick Check:

   Matrix size rule = The number of columns in the first matrix must equal the number of rows in the second matrix. [OK]

Hint: Check matrix sizes: cols of first = rows of second [OK]

Common Mistakes:

• Confusing element-wise (.*) with matrix multiplication (*)
• Ignoring matrix size compatibility
• Assuming output size equals first matrix size

2. Which of the following MATLAB commands correctly multiplies matrix A by matrix B?

easy

A. C = A * B;

B. C = A .* B;

C. C = A + B;

D. C = A / B;

Solution

1. Step 1: Identify the correct operator for matrix multiplication

   In MATLAB, * is used for matrix multiplication, while .* is for element-wise multiplication.

2. Step 2: Confirm the correct syntax

   The command C = A * B; correctly multiplies matrices A and B.

3. Final Answer:

   C = A * B; -> Option A

4. Quick Check:

   Matrix multiply uses * operator [OK]

Hint: Use * for matrix multiply, .* for element-wise multiply [OK]

Common Mistakes:

• Using .* instead of * for matrix multiplication
• Using + or / operators incorrectly for multiplication
• Syntax errors with missing semicolons

3. What is the result of the following MATLAB code?

A = [1 2; 3 4];
B = [5 6; 7 8];
C = A * B;

medium

A. [[5 12]; [21 32]]

B. [[12 16]; [20 24]]

C. [[6 8]; [10 12]]

D. [[19 22]; [43 50]]

Solution

1. Step 1: Multiply rows of A by columns of B

   Calculate each element: C(1,1) = 1*5 + 2*7 = 19; C(1,2) = 1*6 + 2*8 = 22; C(2,1) = 3*5 + 4*7 = 43; C(2,2) = 3*6 + 4*8 = 50.

2. Step 2: Form the resulting matrix

   The resulting matrix C is [[19 22]; [43 50]].

3. Final Answer:

   [[19 22]; [43 50]] -> Option D

4. Quick Check:

   Matrix multiply result = [[19 22]; [43 50]] [OK]

Hint: Multiply rows by columns and sum products [OK]

Common Mistakes:

• Adding matrices instead of multiplying
• Using element-wise multiplication results
• Mixing up row and column indices

4. Consider the MATLAB code below. What is the error and how to fix it?

A = [1 2 3; 4 5 6];
B = [7 8; 9 10];
C = A * B;

medium

A. Error: Use .* instead of * for multiplication.

B. No error, code runs correctly.

C. Error: Matrix dimensions must agree. Fix by making B a 3xN matrix.

D. Error: Use plus (+) instead of multiplication.

Solution

1. Step 1: Check matrix sizes for multiplication

   A is 2x3, B is 2x2. Number of columns in A (3) does not equal number of rows in B (2), so multiplication is invalid.

2. Step 2: Fix the error by adjusting B's size

   To multiply, B must have 3 rows. For example, B could be 3x2 matrix.

3. Final Answer:

   Error: Matrix dimensions must agree. Fix by making B a 3xN matrix. -> Option C

4. Quick Check:

   Matrix size mismatch error = Error: Matrix dimensions must agree. Fix by making B a 3xN matrix. [OK]

Hint: Check cols of A = rows of B before multiplying [OK]

Common Mistakes:

• Ignoring dimension mismatch errors
• Trying to use .* instead of * to fix size errors
• Assuming multiplication works for any sizes

5. You have two matrices:

A = [1 0 2; -1 3 1];
B = [3 1; 2 1; 1 0];

Calculate the product C = A * B and identify the element at position (2,1) in matrix C.

hard

A. 4

B. 5

C. 3

D. 6

Solution

1. Step 1: Verify matrix sizes for multiplication

   A is 2x3, B is 3x2, so multiplication is valid and result C will be 2x2.

2. Step 2: Calculate element C(2,1)

   Multiply row 2 of A by column 1 of B: (-1)*3 + 3*2 + 1*1 = -3 + 6 + 1 = 4.

3. Step 3: Recalculate carefully

   Recheck calculation: (-1)*3 = -3, 3*2 = 6, 1*1 = 1; sum = 4.

4. Final Answer:

   4 -> Option A

5. Quick Check:

   Sum products for C(2,1) = 4 [OK]

Hint: Multiply row 2 of A by column 1 of B and sum [OK]

Common Mistakes:

• Mixing row and column indices
• Forgetting negative signs in multiplication
• Adding wrong elements or missing terms