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The system of linear equations x+y+z =...

The system of linear equations
x+y+z =2,
2x+3y+2z = 5
2x +3y+`(a^(2)-1)z = a + 1`

A

has infinitely many solutions for a = 4

B

is inconsistent when a=4

C

has a unique solution for `|a| =sqrt(3)`

D

is inconsistant when `|a| = sqrt(3)`

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To solve the system of linear equations given by: 1. \( x + y + z = 2 \) (Equation 1) 2. \( 2x + 3y + 2z = 5 \) (Equation 2) 3. \( 2x + 3y + (a^2 - 1)z = a + 1 \) (Equation 3) we will use Kramer's rule to analyze the conditions for consistency and the number of solutions. ### Step 1: Form the Coefficient Matrix and the Constant Matrix The coefficient matrix \( A \) and the constant matrix \( B \) are given by: \[ A = \begin{bmatrix} 1 & 1 & 1 \\ 2 & 3 & 2 \\ 2 & 3 & a^2 - 1 \end{bmatrix}, \quad B = \begin{bmatrix} 2 \\ 5 \\ a + 1 \end{bmatrix} \] ### Step 2: Calculate the Determinant \( D \) of the Coefficient Matrix To find \( D \), we can use the determinant formula for a 3x3 matrix: \[ D = \begin{vmatrix} 1 & 1 & 1 \\ 2 & 3 & 2 \\ 2 & 3 & a^2 - 1 \end{vmatrix} \] We can perform row operations to simplify the calculation. Let's perform the operations \( C_2 \to C_2 - C_1 \) and \( C_3 \to C_3 - C_1 \): \[ D = \begin{vmatrix} 1 & 1 & 1 \\ 2 & 2 & 1 \\ 2 & 2 & a^2 - 3 \end{vmatrix} \] Now, we can expand along the first row: \[ D = 1 \cdot \begin{vmatrix} 2 & 1 \\ 2 & a^2 - 3 \end{vmatrix} - 1 \cdot \begin{vmatrix} 2 & 1 \\ 2 & 2 \end{vmatrix} + 1 \cdot \begin{vmatrix} 2 & 2 \\ 2 & 2 \end{vmatrix} \] Calculating these 2x2 determinants, we get: \[ D = 1 \cdot (2(a^2 - 3) - 2) - 1 \cdot (4 - 2) + 0 \] \[ D = 2a^2 - 6 - 2 - 2 = 2a^2 - 10 \] ### Step 3: Calculate the Determinant \( D_1 \) To find \( D_1 \), we replace the first column of the coefficient matrix with the constant matrix: \[ D_1 = \begin{vmatrix} 2 & 1 & 1 \\ 5 & 3 & 2 \\ a + 1 & 3 & a^2 - 1 \end{vmatrix} \] We can perform similar row operations: \[ D_1 = \begin{vmatrix} 2 & 1 & 1 \\ 5 & 3 & 2 \\ a + 1 & 3 & a^2 - 1 \end{vmatrix} \] After performing the column operations, we can expand this determinant similarly and calculate its value. ### Step 4: Analyze the Conditions for Solutions 1. **Unique Solution**: The system has a unique solution if \( D \neq 0 \). 2. **Infinitely Many Solutions**: The system has infinitely many solutions if \( D = 0 \) and \( D_1 = 0 \). 3. **No Solution**: The system has no solution if \( D = 0 \) and \( D_1 \neq 0 \). ### Step 5: Determine Values of \( a \) 1. Set \( D = 0 \): \[ 2a^2 - 10 = 0 \implies a^2 = 5 \implies a = \pm \sqrt{5} \] 2. Substitute \( a = 4 \) and check: \[ D = 2(4^2) - 10 = 32 - 10 = 22 \quad (\text{Unique solution}) \] 3. Substitute \( a = \sqrt{3} \): \[ D = 2(\sqrt{3})^2 - 10 = 6 - 10 = -4 \quad (\text{Unique solution}) \] ### Conclusion - For \( a = 4 \): Unique solution. - For \( a = \sqrt{3} \): Unique solution. - For \( a = \pm \sqrt{5} \): Check \( D_1 \) for consistency.

To solve the system of linear equations given by: 1. \( x + y + z = 2 \) (Equation 1) 2. \( 2x + 3y + 2z = 5 \) (Equation 2) 3. \( 2x + 3y + (a^2 - 1)z = a + 1 \) (Equation 3) we will use Kramer's rule to analyze the conditions for consistency and the number of solutions. ...
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