Match List-I with List-II
List-I List-II (A) A square matrix is said to be non-singular if (I) (B) A square matrix is said to be singular if (II) is symmetric (C) If a matrix is both symmetric and skew-symmetric, then (III) (D) If is a square matrix, then (IV) is a null matrix
Choose the correct answer from the options given below:
Match List-I with List-II
| List-I | List-II |
|---|---|
| (A) A square matrix is said to be non-singular if | (I) |
| (B) A square matrix is said to be singular if | (II) is symmetric |
| (C) If a matrix is both symmetric and skew-symmetric, then | (III) |
| (D) If is a square matrix, then | (IV) is a null matrix |
Choose the correct answer from the options given below:
Solution
✅ Correct Option: 3
A square matrix is non-singular when its determinant is not equal to zero.
A square matrix is singular when its determinant equals zero.
Symmetric means and skew-symmetric means .
If both are true:
Let
Using :
Since , the matrix is always symmetric.
| List-I | List-II |
|---|---|
| (A) | (III) |
| (B) | (I) |
| (C) | (IV) |
| (D) | (II) |
The correct answer is Option 3.
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