Q.A = [aij]m×n is a square matrix, if (A) m<n (B) m>n (C) m=n (D) None of these
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🔒 Start your 14-day free trial to unlock the full solution →Concept understanding — Square Matrix Definition
What is a Square Matrix? The Intuition First
Arrange numbers in a grid. If the grid has the same number of rows as columns — like a chessboard (8×8) or a tic-tac-toe board (3×3) — that's a square matrix. The name comes from the shape: it looks like a square, not a rectangle.
Why care? Square matrices are the only ones that can be multiplied by themselves, have a determinant, or be inverted — the workhorses behind solving systems of equations, computer graphics, and quantum mechanics.
The Precise Definition
A=[aij]m×n is a square matrix if and only if m=n
That is, the number of rows equals the number of columns. If a matrix has m rows and n columns its order is m×n; for a square matrix we write the order as n×n, or say it's "of order n".
Example: B=23−4−151078 is a 3×3 square matrix.
Counterexample: C=123456 is 3×2 — 3 rows, 2 columns. Not square, but rectangular.
Key Properties You'll Meet
Once a matrix is square, several features become possible:
- Main diagonal: the entries a11,a22,…,ann (top-left to bottom-right).
- Determinant: a single number det(A) (or ∣A∣); rectangular matrices don't have one.
- Inverse: a square A may have an inverse A−1 with AA−1=In. Only square matrices can be invertible.
- Trace: the sum of the diagonal entries, tr(A)=a11+a22+⋯+ann.
Not every square matrix has an inverse. A square matrix with determinant zero is called singular — it has no inverse. A common exam trap.
Special Square Matrices You Should Know
| Type | Definition | Example (3×3) |
|---|---|---|
| Identity In | 1's on diagonal, 0's elsewhere | 100010001 |
| Diagonal | non-zero only on diagonal | 2000−50009 |
| Symmetric | aij=aji for all i,j | 147425753 |
The key idea is the definition of a square matrix: a matrix where the number of rows equals the number of columns.
- A matrix A=[aij]m×n has m rows and n columns.
- For it to be square, the order must satisfy m=n. …
A square matrix has the same number of rows and columns. For matrix A=[aij]m×n, this means m=n. The correct option is (C).
The definition of a square matrix is one of the first things you learn in matrix algebra, and it’s beautifully simple. A matrix is just a rectangular arrangement of numbers, and its size is given by the number of rows (m) and columns (n). The word “square” comes from geometry — a square has equal sides. Similarly, a square matrix has equal dimensions: the row count equals the column count.
Let’s walk through the options:
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Option (A): m<n
If the number of rows is less than the number of columns, the matrix is “tall” or “portrait” shaped — it’s rectangular, not square. For example, a 2×3 matrix has 2 rows and 3 columns. This is not square.
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Option (B): m>n
Here, rows outnumber columns — a “wide” or “landscape” rectangle. A 4×2 matrix is rectangular, not square.
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Option (C): m=n
This is the only case where the matrix has the same number of rows and columns. For instance, a 3×3 matrix is square. The notation [aij]n×n is often used for square matrices, where i and j both run from 1 to n.
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Option (D): None of these …
Method: Identifying a Square Matrix From Its Order
Use this whenever a question asks you to classify a matrix by shape from its order [aij]m×n.
Steps
Step 1: Read off the order convention.
In [aij]m×n, m is the number of rows and n the number of columns — always rows first, then columns.
Step 2: Apply the defining condition of the type.
A matrix is square exactly when the number of rows equals the number of columns, i.e. m=n. If m<n or m>n the matrix is rectangular. …
Showing the 12 most recent of 13 on this concept.
- CBSE 2025Set 65/1/11 markMCQQ.If A=700070x0y is a scalar matrix, then yx is equal to (A) 0 (B) 1 (C) 7 (D) ±7
›Reveal solutionSolution
A scalar matrix is a diagonal matrix with all diagonal entries equal. For the given matrix, this forces x=0 and y=7, so yx=70=1.
A scalar matrix is a special kind of diagonal matrix — but stricter. In a diagonal matrix, only the entries on the main diagonal can be non-zero; everything else is zero. A scalar matrix goes further: every entry on the main diagonal must be the same constant. That constant is often denoted by k, and the matrix looks like kI, where I is the identity matrix.
So if A is a scalar matrix, all three diagonal entries must be equal. Let’s see what that tells us about x and y.
- The matrix is
A=700070x0y.
For A to be a scalar matrix, every off-diagonal entry must be zero — that’s already true except for the (1,3) entry, which is x. So we must have x=0.
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Now the diagonal entries are 7, 7, and y. For a scalar matrix, all diagonal entries must be equal. So y must equal 7.
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Therefore x=0 and y=7. The expression we need is yx=70. …
- CBSE 2026Set A1 markMCQQ.A=[aij]m×n is a square matrix if(a) m=n(b) m<n(c) m>n(d) none of these
›Reveal solutionSolution
Square matrix ⇔ number of rows = number of columns.
An m×n matrix has m rows and n columns. It is called a square matrix precisely when the number …
- CBSE 2026Set ANNUAL1 markMCQQ.What is the type of the matrix 003030300?(a) Scalar(b) Diagonal(c) Unit(d) Square
›Reveal solutionSolution
The matrix is a plain square matrix — it fails the definitions of diagonal, scalar and unit matrices.
The given matrix is
M=003030300
- A matrix is square if the number of rows equals the number of columns — here 3=3, so M is square. ✓
- A matrix is diagonal only if every entry off the main diagonal is 0. Here the main diagonal entries are 0,3,0, but the anti-diagonal entries M13,M22,M31=3,3,3 are non-zero off-diagonal entries (except M22 which is on the diagonal) — in particular M13=3=0 is off-diagonal, so M is not diagonal. …
- CBSE 2026Set ANNUAL1 markMCQQ.A=[aij]m×n is a square matrix, if(a) m<n(b) m>n(c) m=n(d) None of these
›Reveal solutionSolution
A square matrix has an equal number of rows and columns.
A matrix A=[aij]m×n has m rows and n columns. By definition, it is a square matrix precisely when the number of rows e …
- CBSE 2025Set 65/2/11 markMCQQ.Assertion (A): A=diag[3 5 2] is a scalar matrix of order 3×3. Reason (R): If a diagonal matrix has all non-zero elements equal, it is known as a scalar matrix. (A) Both Assertion (A) and Reason (R) are true and Reason (R) is the correct explanation of Assertion (A). (B) Both Assertion (A) and Reason (R) are true, but Reason (R) is not the correct explanation of Assertion (A). (C) Assertion (A) is true, but Reason (R) is false. (D) Assertion (A) is false, but Reason (R) is true.
›Reveal solutionSolution
A scalar matrix must have all diagonal entries equal (and off-diagonals zero). Here A has diagonal entries 3,5,2 — they are not all equal, so A is not a scalar matrix. Assertion (A) is false; Reason (R) is true. The correct option is (D).
The core idea here is the precise definition of a scalar matrix. A diagonal matrix has zeros everywhere except possibly on the main diagonal. A scalar matrix is a special kind of diagonal matrix — one where every diagonal entry is the same number (the scalar). If the diagonal entries are different, it’s just a plain diagonal matrix, not a scalar one.
Let’s check each statement carefully.
- Examine Assertion (A): A=diag[3 5 2] means
A=300050002.
This is certainly a diagonal matrix. But for it to be a scalar matrix, all three diagonal entries must be equal. Here 3=5=2, so they are not all the same. Therefore A is not a scalar matrix. Assertion (A) is false.
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Examine Reason (R):
Reason (R) states: “If a diagonal matrix has all non-zero elements equal, it is known as a scalar matrix.”
This is exactly the textbook definition. A scalar matrix is kIn — a diagonal matrix where every diagonal entry is the same non-zero constant k. So Reason (R) is true.
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Determine the relationship: …
- CBSE 2025Set ANNUAL1 markMCQQ.The matrix A=004040400 is a(a) square matrix(b) diagonal matrix(c) unit matrix(d) scalar matrix
›Reveal solutionSolution
Check the definitions: diagonal/scalar/unit matrices all require every off-diagonal entry to be zero, which fails here.
A=004040400
A diagonal matrix requires all off-diagonal entries aij=0 for i=j. Here a13=4 and a31=4 are both nonzero, so A is NOT diagonal.
…
- CBSE 2024Set 65/3/11 markMCQQ.Questions number 19 and 20 are Assertion and Reason based questions. Two statements are given, one labelled Assertion (A) and the other labelled Reason (R). Select the correct answer from the codes (A), (B), (C) and (D) as given below. (A) Both Assertion (A) and Reason (R) are true and Reason (R) is the correct explanation of the Assertion (A). (B) Both Assertion (A) and Reason (R) are true, but Reason (R) is not the correct explanation of the Assertion (A). (C) Assertion (A) is true, but Reason (R) is false. (D) Assertion (A) is false, but Reason (R) is true. Assertion (A): Every scalar matrix is a diagonal matrix. Reason (R): In a diagonal matrix, all the diagonal elements are 0.
›Reveal solutionSolution
A scalar matrix is a special diagonal matrix where every diagonal entry is the same constant. The Reason given is false because a diagonal matrix can have any numbers on its diagonal — they are not required to be zero. So Assertion true, Reason false → option (C).
Concept first.
A scalar matrix is a square matrix where every diagonal element is the same scalar k, and all off-diagonal entries are zero. For example,
500050005
is a scalar matrix.
A diagonal matrix is any square matrix where all entries outside the main diagonal are zero — the diagonal entries can be any numbers (including zero, equal, or all different). So every scalar matrix certainly satisfies the definition of a diagonal matrix (off-diagonals are zero), but the converse is not true.
Now examine the two statements.
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Assertion (A): “Every scalar matrix is a diagonal matrix.”
This is true. A scalar matrix has zeros everywhere except on the diagonal, which is exactly the condition for being a diagonal matrix. The fact that the diagonal entries happen to be equal doesn’t break the definition — it only makes it a special case.
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Reason (R): “In a diagonal matrix, all the diagonal elements are 0.” …
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- CBSE 2024Set D1 markMCQQ.A=[aij]m×n is a square matrix if(a) m=n(b) m<n(c) m>n(d) none of these
›Reveal solutionSolution
Square matrix ⇔m=n.
A matrix A=[aij]m×n has m rows and n columns. It is called a square matrix when the number of rows equals the number of columns, i.e.
m=n. …
- CBSE 2024Set ANNUAL1 markMCQQ.The matrix [5005] is a OR The square matrices A and B will be inverse of each other, if(a) AB=O,BA=I(b) AB=BA=O(c) AB=BA=I(d) AB=I,BA=O(a) diagonal matrix(b) row matrix(c) column matrix(d) unit matrix
›Reveal solutionSolution
A square matrix with all non-diagonal entries zero is a diagonal matrix.
The matrix [5005] has both off-diagonal entries equal to 0, so it is a diagonal matrix (in fact a scalar matrix). It is not the unit (identity) matrix, since the identity matrix I2=[1001] has 1's on the diagonal, not 5's.
…
- CBSE 2023Set ANNUAL1 markQ.Write the number of entries in a square matrix of order 4.
›Reveal solutionSolution
A square matrix of order n has n2 entries, so order 4 gives 16 entries.
A square matrix of order n has n rows and n columns, giving n×n=n2 entries in total. For n=4, …
- CBSE 2021Set ANNUAL1 markMCQQ.A=[aij]m×n is a square matrix, if(a) m<n(b) m>n(c) m=n(d) none of these
›Reveal solutionSolution
A matrix A=[aij]m×n is a square matrix when the number of rows equals the number of columns.
…
- CBSE 2019Set ANNUAL1 markQ.Define a scalar matrix.
›Reveal solutionSolution
A scalar matrix is a diagonal matrix whose diagonal entries are all equal to one constant k.
Concept. A diagonal matrix has all non-diagonal entries zero. A scalar matrix is a diagonal matrix in which, in addition, every diagonal entry is the same number.
Definition. A square matrix A=[aij] is a scalar matrix if
aij={0,k,ieji=j
for some fixed scalar k. Equivalently A=kI.
…
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