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If A=[a("ij")](4xx4), such that a("ij")=...

If `A=[a_("ij")]_(4xx4)`, such that `a_("ij")={(2",","when "i=j),(0",","when "i ne j):}`, then `{("det (adj (adj A))")/(7)}` is (where `{*}` represents fractional part function)

A

`1//7`

B

`2//7`

C

`3//7`

D

none of these

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The correct Answer is:
To solve the problem, we need to analyze the matrix \( A \) and compute the required expression step by step. ### Step 1: Define the Matrix \( A \) Given that \( A = [a_{ij}]_{4 \times 4} \) where: - \( a_{ij} = 2 \) when \( i = j \) (diagonal elements) - \( a_{ij} = 0 \) when \( i \neq j \) (off-diagonal elements) The matrix \( A \) can be written as: \[ A = \begin{bmatrix} 2 & 0 & 0 & 0 \\ 0 & 2 & 0 & 0 \\ 0 & 0 & 2 & 0 \\ 0 & 0 & 0 & 2 \end{bmatrix} \] ### Step 2: Calculate the Determinant of \( A \) The determinant of a diagonal matrix is the product of its diagonal elements. Therefore, we have: \[ \text{det}(A) = 2 \times 2 \times 2 \times 2 = 2^4 = 16 \] ### Step 3: Calculate the Adjoint of \( A \) The adjoint of a matrix \( A \) is given by: \[ \text{adj}(A) = \text{det}(A) \cdot A^{-1} \] For a diagonal matrix, the adjoint can also be computed as: \[ \text{adj}(A) = \begin{bmatrix} \text{det}(A_{11}) & 0 & 0 & 0 \\ 0 & \text{det}(A_{22}) & 0 & 0 \\ 0 & 0 & \text{det}(A_{33}) & 0 \\ 0 & 0 & 0 & \text{det}(A_{44}) \end{bmatrix} \] Where \( A_{ii} \) is the matrix obtained by removing the \( i \)-th row and \( i \)-th column from \( A \). Each of these determinants is \( 2^3 = 8 \) (since they are \( 3 \times 3 \) diagonal matrices with diagonal entries 2). Thus, we have: \[ \text{adj}(A) = \begin{bmatrix} 8 & 0 & 0 & 0 \\ 0 & 8 & 0 & 0 \\ 0 & 0 & 8 & 0 \\ 0 & 0 & 0 & 8 \end{bmatrix} \] ### Step 4: Calculate the Determinant of \( \text{adj}(A) \) The determinant of \( \text{adj}(A) \) is: \[ \text{det}(\text{adj}(A)) = 8 \times 8 \times 8 \times 8 = 8^4 = 4096 \] ### Step 5: Calculate the Adjoint of \( \text{adj}(A) \) Using the property of determinants: \[ \text{det}(\text{adj}(A)) = \text{det}(A)^{n-1} \] where \( n \) is the order of the matrix. Here \( n = 4 \), so: \[ \text{det}(\text{adj}(\text{adj}(A))) = \text{det}(\text{adj}(A))^{4-1} = 4096^3 \] Calculating \( 4096^3 \): \[ 4096 = 2^{12} \implies 4096^3 = (2^{12})^3 = 2^{36} \] ### Step 6: Find the Fractional Part of \( \frac{\text{det}(\text{adj}(\text{adj}(A)))}{7} \) Now we calculate: \[ \frac{2^{36}}{7} \] To find the fractional part, we need to compute \( 2^{36} \mod 7 \). Using Fermat's Little Theorem: \[ 2^6 \equiv 1 \mod 7 \] Thus: \[ 2^{36} = (2^6)^6 \equiv 1^6 \equiv 1 \mod 7 \] So, we have: \[ \frac{2^{36}}{7} = k + \frac{1}{7} \quad \text{for some integer } k \] The fractional part is: \[ \left\{ \frac{2^{36}}{7} \right\} = \frac{1}{7} \] ### Final Answer The fractional part of \( \frac{\text{det}(\text{adj}(\text{adj}(A)))}{7} \) is: \[ \boxed{\frac{1}{7}} \]

To solve the problem, we need to analyze the matrix \( A \) and compute the required expression step by step. ### Step 1: Define the Matrix \( A \) Given that \( A = [a_{ij}]_{4 \times 4} \) where: - \( a_{ij} = 2 \) when \( i = j \) (diagonal elements) - \( a_{ij} = 0 \) when \( i \neq j \) (off-diagonal elements) ...
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CENGAGE-MATRICES-Exercise (Single)
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  2. Let aa n db be two real numbers such that a >1,b > 1. If A=(a0 0b) , t...

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  4. A is an involuntary matrix given by A=[0 1-1 4-3 4 3-3 4] , then the i...

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  5. If A is a nonsingular matrix such that A A^(T)=A^(T)A and B=A^(-1) A^(...

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  7. If Aa n dB are two non-singular matrices of the same order such that B...

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  8. If adjB=A ,|P|=|Q|=1,then adj(Q^(-1)B P^(-1)) is

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  9. If A is non-singular and (A-2I)(A-4I)=O ,t h e n1/6A+4/3A^(-1) is equa...

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  14. If Aa n dB are square matrices of the same order and A is non-singular...

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  15. If k in Rot h e ndet{a d j(k In)} is equal to K^(n-1) b. K^(n(n-1)) c...

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  17. Let A=[(1,2,3),(2,0,5),(0,2,1)] and B=[(0),(-3),(1)]. Which of the fol...

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  18. If A is a square matrix of order less than 4 such that |A-A^(T)| ne 0 ...

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  19. Let A be a square matrix of order 3 such that det. (A)=1/3, then the v...

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