

What is Matrix Multiplication in Maths?
The concept of matrix multiplication plays a key role in mathematics and is widely applicable to both real-life situations and exam scenarios. Whether you're studying for boards or preparing for competitive exams like JEE, knowing how to multiply matrices accurately will make solving linear equations, transformations, and data calculations far easier.
What Is Matrix Multiplication?
Matrix multiplication is a special mathematical operation where two matrices are combined to produce a new matrix by multiplying rows of the first matrix with columns of the second. This process is guided by specific rules based on matrix size and order. You’ll find this concept applied in areas such as algebra, computer science, and physics.
Key Formula for Matrix Multiplication
Here’s the standard formula: If \( A \) is an \( m \times n \) matrix and \( B \) is an \( n \times p \) matrix, then their product \( AB \) is an \( m \times p \) matrix. Each entry in the product is found by:
\( (AB)_{ij} = \sum_{k=1}^{n} A_{ik} \times B_{kj} \)
This means: multiply elements across the row of the first matrix with the matching column of the second and add up the results.
Cross-Disciplinary Usage
Matrix multiplication is not only useful in Maths but also plays an important role in Physics, Computer Science, and daily logical reasoning. It can represent transformations, solve systems of equations, model population growth, and is fundamental for programming and algorithms. Students preparing for JEE, NEET, or CBSE boards will see its relevance in various questions — especially those involving vectors, transformations, and advanced algebra.
Rules and Conditions for Matrix Multiplication
Not all matrices can be multiplied. Remember these two simple rules:
- The number of columns in the first matrix must equal the number of rows in the second matrix.
- The order of the product matrix will be (Rows of first matrix) × (Columns of second matrix).
For example, you can multiply a 2×3 matrix with a 3×2 matrix, but not a 2×3 with a 2×2 matrix.
Step-by-Step Illustration
- Suppose:
\( A = \begin{bmatrix} 3 & 5 \\ 1 & 4 \end{bmatrix} \), \( B = \begin{bmatrix} 2 & 6 \\ 7 & 1 \end{bmatrix} \) - Multiply row 1 of A with column 1 of B:
\( (3 \times 2) + (5 \times 7) = 6 + 35 = 41 \) - Multiply row 1 of A with column 2 of B:
\( (3 \times 6) + (5 \times 1) = 18 + 5 = 23 \) - Multiply row 2 of A with column 1 of B:
\( (1 \times 2) + (4 \times 7) = 2 + 28 = 30 \) - Multiply row 2 of A with column 2 of B:
\( (1 \times 6) + (4 \times 1) = 6 + 4 = 10 \) - So, product matrix \( AB = \begin{bmatrix} 41 & 23 \\ 30 & 10 \end{bmatrix} \)
Common Types and Properties of Matrix Multiplication
Rule / Property | Applies To |
---|---|
Associative Law: (AB)C = A(BC) | All compatible matrices |
Distributive Law: A(B+C) = AB + AC | All compatible matrices |
Matrix multiplication is not commutative: AB ≠ BA in general | General, unless both matrices are square and commute |
Multiplying by identity matrix: AI = IA = A | A is any square matrix |
Speed Trick or Vedic Shortcut
When practicing matrix multiplication, some patterns help save time, especially in MCQ-based exams:
- If multiplying by an identity matrix, the result is the same matrix.
- For diagonal or triangular matrices, you only need to multiply along the diagonals or in upper/lower triangle, reducing calculations.
- Spotting zero-rows or columns helps quickly identify zero elements in the product.
Tricks like these are often covered in Vedantu’s live classes to build your speed and accuracy for board and competitive exams.
Try These Yourself
- Multiply \( \begin{bmatrix}1 & 2 \\ 3 & 4\end{bmatrix} \) and \( \begin{bmatrix}0 & 1 \\ 1 & 0\end{bmatrix} \).
- Can you multiply a 2×3 matrix by a 3×1 matrix? What will be the size of the result?
- Solve: Multiply \( \begin{bmatrix}2 \\ -1\end{bmatrix} \) with \( \begin{bmatrix}4 & 7\end{bmatrix} \). What’s the order of the product?
- What is the result if you multiply any matrix with a zero matrix?
Frequent Errors and Misunderstandings
- Attempting to multiply two matrices without checking dimensional compatibility.
- Adding, not multiplying, row and column elements.
- Assuming AB = BA for all matrices (commutative property does not usually hold).
- Miscalculating the order of the resulting matrix.
Relation to Other Concepts
The idea of matrix multiplication connects closely with topics such as matrix addition, matrix inverse, and determinants. Mastering matrix product operations helps you solve systems of linear equations, transformations, and even certain calculus problems.
Classroom Tip
A simple way to remember matrix multiplication: “Row of the first × Column of the second = Entry in the product.” Write small arrows linking each row to each column while practicing. Vedantu’s teachers often use colored highlighters or visual board animations for this in live classes.
We explored matrix multiplication—from its definition, formula, compatible orders, solved examples, shortcuts, and links to other areas of Maths. Continue practicing and review topics like matrices, types of matrices, and elementary operations to strengthen your understanding. The more you try, the easier and faster matrix multiplication becomes in both class and exams!
FAQs on Matrix Multiplication Explained: Steps, Rules & Examples
1. What is matrix multiplication?
Matrix multiplication is a binary operation that produces a single matrix from two or more matrices. It involves multiplying rows of the first matrix by the corresponding columns of the second matrix and summing the results. This process is often referred to as the dot product. The result is a new matrix whose dimensions depend on the dimensions of the original matrices.
2. What are the conditions for matrix multiplication?
For matrix multiplication to be possible, the number of columns in the first matrix must equal the number of rows in the second matrix. If matrix A has dimensions m × n and matrix B has dimensions n × p, then the resulting matrix AB will have dimensions m × p. If these conditions are not met, the matrices are considered incompatible for multiplication.
3. How do I multiply two matrices?
To multiply matrices A and B, follow these steps:
1. Ensure the matrices are compatible (number of columns in A equals the number of rows in B).
2. For each element in the resulting matrix, take the dot product of the corresponding row in A and column in B.
3. Sum the products obtained in step 2 to find the value of the element.
4. Repeat for all elements in the resulting matrix.
4. What is the formula for matrix multiplication?
If A is an m × n matrix and B is an n × p matrix, then the element at position (i, j) in the resulting matrix C = AB is given by: Cij = Σk=1n AikBkj. This formula represents the dot product of the i-th row of A and the j-th column of B.
5. Is matrix multiplication commutative?
No, matrix multiplication is generally not commutative. This means that AB is usually not equal to BA. The order of multiplication matters significantly in matrix operations.
6. Is matrix multiplication associative?
Yes, matrix multiplication is associative. This means that (AB)C = A(BC), provided that the dimensions allow for the multiplications.
7. What is the identity matrix?
The identity matrix (denoted as I) is a square matrix with ones along the main diagonal and zeros elsewhere. Multiplying any matrix by the identity matrix results in the original matrix. It is analogous to multiplying a number by 1.
8. What are some applications of matrix multiplication?
Matrix multiplication has broad applications in various fields, including:
• Computer graphics: Transformations (rotation, scaling, translation).
• Physics and engineering: Solving systems of linear equations, representing linear transformations.
• Machine learning: Matrix factorization, neural networks.
• Economics: Input-output models.
9. How do I multiply a 2x2 matrix by a 2x3 matrix?
A 2x2 matrix can be multiplied by a 2x3 matrix. The resulting matrix will be a 2x3 matrix. Follow the standard matrix multiplication procedure using the dot product of rows and columns, as described earlier.
10. What happens if I try to multiply incompatible matrices?
If you try to multiply incompatible matrices (where the number of columns in the first matrix does not equal the number of rows in the second matrix), the multiplication is not defined. You will not obtain a valid result.
11. What is the difference between scalar and matrix multiplication?
Scalar multiplication involves multiplying a matrix by a single number (scalar), multiplying each element in the matrix by that scalar. Matrix multiplication involves multiplying two or more matrices using the dot product of rows and columns.
12. How can I check my matrix multiplication calculations?
You can use online matrix calculators to verify your calculations. Carefully check your work step by step and ensure that you are correctly applying the dot product formula for each element in the resulting matrix. Pay close attention to the dimensions and ensure compatibility before beginning.

















