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Match List-I with List-II

List-IList-II
(A) A square matrix PP is said to be non-singular if(I) ∣P∣=0\vert P\vert = 0
(B) A square matrix PP is said to be singular if(II) PPTP P^T is symmetric
(C) If a matrix PP is both symmetric and skew-symmetric, then(III) ∣P∣≠0\vert P\vert \neq 0
(D) If PP is a square matrix, then(IV) PP is a null matrix

Choose the correct answer from the options given below:

Solution

✅ Correct Option: 3

A square matrix PP is non-singular when its determinant is not equal to zero.

(A)→(III)∣P∣≠0(A) \rightarrow (III) \quad |P| \neq 0


A square matrix PP is singular when its determinant equals zero.

(B)→(I)∣P∣=0(B) \rightarrow (I) \quad |P| = 0


Symmetric means PT=PP^T = P and skew-symmetric means PT=−PP^T = -P.

If both are true:

P=PT=−PP = P^T = -P

P=−PP = -P

2P=O2P = O

P=O (null matrix)P = O \text{ (null matrix)}

(C)→(IV)P is a null matrix(C) \rightarrow (IV) \quad P \text{ is a null matrix}


Let Q=PPTQ = PP^T

QT=(PPT)TQ^T = (PP^T)^T

Using (XY)T=YTXT(XY)^T = Y^T X^T:

QT=(PT)T⋅PTQ^T = (P^T)^T \cdot P^T

=P⋅PT= P \cdot P^T

=Q= Q

Since QT=QQ^T = Q, the matrix PPTPP^T is always symmetric.

(D)→(II)PPT is symmetric(D) \rightarrow (II) \quad PP^T \text{ is symmetric}


List-IList-II
(A)(III)
(B)(I)
(C)(IV)
(D)(II)

The correct answer is Option 3.

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