Let A = [aij]n x n be a matrix. Then Match List-I with List-II
List-I
(A) AT = A
(B) AT = -A
(C) —A— = 0
(D) —A— ≠ 0
List-II
(I) A is a singular matrix
(II) A is a non-singular matrix
(III) A is a skew symmetric matrix
(IV) A is a symmetric matrix
Choose the correct answer from the options given below:
(A) - (IV), (B) - (III), (C) - (II), (D) - (I)
(A) - (IV), (B) - (III), (C) - (I), (D) - (II)
(A) - (I), (B) - (II), (C) - (III), (D) - (IV)
(A) - (I), (B) - (II), (C) - (IV), (D) - (III)
(A) - (IV), (B) - (III), (C) - (I), (D) - (II)
The correct answer is (A) - (IV), (B) - (III), (C) - (I), (D) - (II).
Let us analyze each term in List-I and match it with the correct description in List-II:
1. Matching (A): AT = A
By definition, a square matrix is called a symmetric matrix if it is equal to its transpose, which is written as:
Therefore, (A) matches with (IV).
2. Matching (B): AT = -A
By definition, a square matrix is called a skew-symmetric matrix if the transpose of the matrix is equal to the negative of the matrix itself, which is written as:
Therefore, (B) matches with (III).
3. Matching (C): |A| = 0
A square matrix is defined as a singular matrix if its determinant is equal to zero, which is represented by:
Therefore, (C) matches with (I).
4. Matching (D): |A| ≠ 0
A square matrix is defined as a non-singular matrix if its determinant is not equal to zero, which is represented by:
Therefore, (D) matches with (II).
Combining all the individual matches, we get:
(A) → (IV), (B) → (III), (C) → (I), and (D) → (II).