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Question: If $A$ is a matrix such that $A(A + I) + 2I = 0$, then which of the following is/are true?...

If AA is a matrix such that A(A+I)+2I=0A(A + I) + 2I = 0, then which of the following is/are true?

A

A is non-singular

B

A is symmetric

C

A cannot be skew-symmetric

D

A1=12(A+I)A^{-1} = -\frac{1}{2}(A+I)

Answer

(A), (C), (D)

Explanation

Solution

The given matrix equation is A(A+I)+2I=0A(A + I) + 2I = 0. Expanding this, we get A2+AI+2I=0A^2 + AI + 2I = 0, which simplifies to A2+A+2I=0A^2 + A + 2I = 0.

Let's analyze each option:

(A) AA is non-singular

From the equation A2+A+2I=0A^2 + A + 2I = 0, we can write A(A+I)=2IA(A+I) = -2I. Taking the determinant of both sides:

det(A(A+I))=det(2I)\det(A(A+I)) = \det(-2I)

det(A)det(A+I)=det(2I)\det(A) \det(A+I) = \det(-2I)

If AA is an n×nn \times n matrix, then det(2I)=(2)ndet(I)=(2)n1=(2)n\det(-2I) = (-2)^n \det(I) = (-2)^n \cdot 1 = (-2)^n.

Since (2)n0(-2)^n \neq 0 for any integer nn, it implies that det(A)det(A+I)0\det(A) \det(A+I) \neq 0.

Therefore, det(A)0\det(A) \neq 0, which means AA is non-singular. This statement is true.

(B) AA is symmetric

A matrix AA is symmetric if AT=AA^T = A.

The matrix AA satisfies the polynomial equation x2+x+2=0x^2 + x + 2 = 0. The eigenvalues of AA are the roots of this characteristic equation.

The roots are x=1±124(1)(2)2=1±182=1±72=1±i72x = \frac{-1 \pm \sqrt{1^2 - 4(1)(2)}}{2} = \frac{-1 \pm \sqrt{1 - 8}}{2} = \frac{-1 \pm \sqrt{-7}}{2} = \frac{-1 \pm i\sqrt{7}}{2}.

These are complex eigenvalues.

If AA is a real symmetric matrix, its eigenvalues must be real. Since the eigenvalues are complex, AA cannot be a real symmetric matrix. In the context of JEE/NEET, matrices are generally assumed to be real unless specified otherwise.

Even if AA is a complex matrix, the statement "A is symmetric" implies it is a necessary property. However, one can construct non-symmetric complex matrices that satisfy this equation. Therefore, this statement is not universally true for any matrix AA satisfying the condition. This statement is false.

(C) AA cannot be skew-symmetric

A matrix AA is skew-symmetric if AT=AA^T = -A.

Assume, for contradiction, that AA is skew-symmetric.

We are given A2+A+2I=0A^2 + A + 2I = 0.

Taking the transpose of the entire equation:

(A2+A+2I)T=0T(A^2 + A + 2I)^T = 0^T

(A2)T+AT+(2I)T=0(A^2)^T + A^T + (2I)^T = 0

(AT)2+AT+2I=0(A^T)^2 + A^T + 2I = 0

Since we assumed AT=AA^T = -A, substitute this into the equation:

(A)2+(A)+2I=0(-A)^2 + (-A) + 2I = 0

A2A+2I=0A^2 - A + 2I = 0 (Equation 1)

We also have the original equation:

A2+A+2I=0A^2 + A + 2I = 0 (Equation 2)

Subtract Equation 1 from Equation 2:

(A2+A+2I)(A2A+2I)=00(A^2 + A + 2I) - (A^2 - A + 2I) = 0 - 0

A2+A+2IA2+A2I=0A^2 + A + 2I - A^2 + A - 2I = 0

2A=02A = 0

A=0A = 0

Now, substitute A=0A=0 back into the original equation A2+A+2I=0A^2 + A + 2I = 0:

02+0+2I=00^2 + 0 + 2I = 0

2I=02I = 0

This implies that the identity matrix II is a zero matrix, which is false for any identity matrix of order n1n \ge 1.

Therefore, our initial assumption that AA is skew-symmetric must be false. Hence, AA cannot be skew-symmetric. This logic holds for both real and complex matrices. This statement is true.

(D) A1=12(A+I)A^{-1} = -\frac{1}{2}(A+I)

From the given equation A2+A+2I=0A^2 + A + 2I = 0.

Since AA is non-singular (as established in option A), A1A^{-1} exists.

Multiply the entire equation by A1A^{-1} from the left (or right):

A1(A2+A+2I)=A1OA^{-1}(A^2 + A + 2I) = A^{-1}O

A1A2+A1A+A1(2I)=OA^{-1}A^2 + A^{-1}A + A^{-1}(2I) = O

(A1A)A+I+2A1I=O(A^{-1}A)A + I + 2A^{-1}I = O

IA+I+2A1=OIA + I + 2A^{-1} = O

A+I+2A1=OA + I + 2A^{-1} = O

2A1=(A+I)2A^{-1} = -(A+I)

A1=12(A+I)A^{-1} = -\frac{1}{2}(A+I)

This statement is true.

Therefore, the true statements are (A), (C), and (D).