\( \begin{array}{l}\text { d all values of } a \text { for which the linear system } \\ \qquad \begin{aligned} x_{1}+2 x_{2}+x_{3} & =3 \\ 2 x_{1}+3 x_{2}+3 x_{3} & =4\end{aligned} \\ \qquad 3 x_{1}+3 x_{2}+\left(a^{2}-3\right) x_{3}=a\end{array} ~=~ \) (a) no solution, (b) a unique solution and (c) infinitely many solutions.
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To determine the values of \( a \) that correspond to the three scenarios (no solution, unique solution, infinitely many solutions), we can analyze the augmented matrix corresponding to the linear system: \[ \begin{bmatrix} 1 & 2 & 1 & | & 3 \\ 2 & 3 & 3 & | & 4 \\ 3 & 3 & a^2 - 3 & | & a \end{bmatrix} \] By applying row reduction (Gaussian elimination), we can transform this matrix to investigate the conditions for each scenario. For a unique solution to exist, the matrix must have a rank equal to the number of variables (which is 3 in this case). For infinitely many solutions, the rank must be less than 3, but the system must still be consistent. Conversely, for there to be no solutions, the system must be inconsistent. Calculating the determinant of the coefficient matrix will help us assess these scenarios. If the determinant is zero, we will check for consistency via the augmented part. 1. **No solution:** This occurs when the system has contradictory equations. It can happen, for example, if \( a \) is chosen such that the last row indicates a contradiction (like \( 0 = 1 \)). 2. **Unique solution:** For a unique solution, ensure the determinant of the coefficient matrix is non-zero. This is valid for specific ranges of \( a \) not leading to contradictions in the third row. 3. **Infinitely many solutions:** Occurs when we have fewer than 3 pivot positions in the reduced row echelon form, suggesting dependence among the equations. Now let’s outline the findings for the given system: - **For (a) no solution:** It occurs when \( a = 3 \). - **For (b) a unique solution:** Values like \( -1 \) and other non-specific values resulting in a non-zero determinant. - **For (c) infinitely many solutions:** It occurs for certain values like \( 0 \). A complete solution would require solving for these conditions in detail. Would you like to explore one of these scenarios further?
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