Types of Matrices
Matrices are classified by shape and entry pattern, such as row matrix, column matrix, square matrix, diagonal matrix, scalar matrix, identity matrix, zero matrix, and equal matrices.
In one line: Identity is the special scalar matrix with scalar 1.
Practice This ConceptUnderstand it
- A row matrix has one row; a column matrix has one column.
- A square matrix has equal rows and columns.
- A diagonal matrix is square with all non-diagonal entries zero.
- A scalar matrix is a diagonal matrix whose diagonal entries are equal.
- An identity matrix has all diagonal entries 1 and all non-diagonal entries 0.
- A zero matrix has every entry 0.
- Two matrices are equal only when they have the same order and corresponding entries equal.
Example
Formula and rule
Identity matrix In: aij = 1 when i = j and aij = 0 when i ≠ j.
Scalar matrix: A = kIn.
Equal matrices: same order and aij = bij for every corresponding position.
See it worked out
Follow the example line by line, then use the same method on new questions.
Worked example
Classify A = [[0, 0, 0], [0, 0, 0]].
- 1It has 2 rows and 3 columns, so it is rectangular.
- 2Since every entry is 0, it is a zero matrix.
- 3It is not a diagonal matrix because diagonal classification in this syllabus is for square matrices.
Method you can reuse
- 1Find the order.
- 2Check whether it is square.
- 3Check zeros outside the main diagonal.
- 4Check whether diagonal entries are equal.
- 5Check whether diagonal entries are all 1 if identity is claimed.
- 6For equality, compare order first, then entries.
Visual tip
No separate diagram is needed. Classification is best shown through small 2 × 2 or 3 × 3 matrix forms.
Check yourself
Answer the question in your head before opening the answer.
Try it yourself
Is [[3, 0, 0], [0, 3, 0], [0, 0, 3]] diagonal, scalar, or identity?
Think first, then show answerHide answer
Common wrong answer
Calling [[2, 0], [0, 5]] a scalar matrix; it is diagonal but not scalar because diagonal entries are unequal.
Don't mix this up
Exam tip
Write it in the exam
Each point is worth about one mark. Write point 1 for a 1-mark question and keep adding points as the marks go up.
How CBSE asks it
- 1
Enough for 1 mark
Matrices are classified by shape and entry pattern, such as row matrix, column matrix, square matrix, diagonal matrix, scalar matrix, identity matrix, zero matrix, and equal matrices.
- 2
Add for 2 marks
Example: [[4, 0], [0, 4]] is a scalar matrix. [[1, 0], [0, 1]] is an identity matrix of order 2. [[0, 0], [0, 0]] is a zero matrix.
- 3
Add for 3 marks
A row matrix has one row; a column matrix has one column.
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