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The system of linear equations kx + y + ...

The system of linear equations `kx + y + z = 1, x + ky + z = 1 and x + y + kz = 1` has a unique solution under which one of the following conditions ?

A

`k ne 1 and k ne -2`

B

`k ne 1 and k ne 2`

C

`k ne -1 and k ne -2`

D

`k ne -1 and k ne 2`

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To determine the conditions under which the given system of linear equations has a unique solution, we can represent the system in matrix form and analyze the determinant of the coefficient matrix. ### Step-by-Step Solution: 1. **Write the system of equations:** The given equations are: \[ kx + y + z = 1 \quad (1) \] \[ x + ky + z = 1 \quad (2) \] \[ x + y + kz = 1 \quad (3) \] 2. **Formulate the coefficient matrix and the constant matrix:** The coefficient matrix \( A \) and the constant matrix \( B \) can be written as: \[ A = \begin{bmatrix} k & 1 & 1 \\ 1 & k & 1 \\ 1 & 1 & k \end{bmatrix}, \quad B = \begin{bmatrix} 1 \\ 1 \\ 1 \end{bmatrix} \] 3. **Calculate the determinant of the coefficient matrix \( A \):** To find the conditions for a unique solution, we need to ensure that the determinant of matrix \( A \) is non-zero. The determinant can be calculated as follows: \[ \text{det}(A) = k \begin{vmatrix} k & 1 \\ 1 & k \end{vmatrix} - 1 \begin{vmatrix} 1 & 1 \\ 1 & k \end{vmatrix} + 1 \begin{vmatrix} 1 & k \\ 1 & 1 \end{vmatrix} \] Calculating the 2x2 determinants: \[ \begin{vmatrix} k & 1 \\ 1 & k \end{vmatrix} = k^2 - 1 \] \[ \begin{vmatrix} 1 & 1 \\ 1 & k \end{vmatrix} = k - 1 \] \[ \begin{vmatrix} 1 & k \\ 1 & 1 \end{vmatrix} = 1 - k \] Substituting these back into the determinant calculation: \[ \text{det}(A) = k(k^2 - 1) - (k - 1) + (1 - k) \] Simplifying this: \[ = k^3 - k - k + 1 + 1 - k \] \[ = k^3 - 3k + 2 \] 4. **Set the determinant not equal to zero:** For the system to have a unique solution, we require: \[ k^3 - 3k + 2 \neq 0 \] 5. **Find the roots of the equation:** To find the values of \( k \) that make the determinant zero, we can factor or use the Rational Root Theorem. Testing possible rational roots, we find: \[ k = 1 \quad \text{and} \quad k = -2 \] Thus, the polynomial can be factored as: \[ (k - 1)(k + 2)(k - 1) = 0 \] 6. **Conclusion:** Therefore, the conditions for the system to have a unique solution are: \[ k \neq 1 \quad \text{and} \quad k \neq -2 \]

To determine the conditions under which the given system of linear equations has a unique solution, we can represent the system in matrix form and analyze the determinant of the coefficient matrix. ### Step-by-Step Solution: 1. **Write the system of equations:** The given equations are: \[ kx + y + z = 1 \quad (1) ...
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