Problem 68
Question
Consider the system \(\left\\{\begin{aligned} x+2 y+6 z &=5 \\\\-3 x-6 y+5 z &=8 \\ 2 x+6 y+9 z &=7 \end{aligned}\right.\) (a) Verify that \(x=-1, y=0, z=1\) is a solution of the system. (b) Find the determinant of the coefficient matrix. (c) Without solving the system, determine whether there are any other solutions. (d) Can Cramer's Rule be used to solve this system? Why or why not?
Step-by-Step Solution
Verified Answer
(a) Solution holds; (b) Det = -46; (c) No other solutions exist; (d) Cramer's Rule is applicable.
1Step 1: Verify Given Solution
Substitute \(x = -1\), \(y = 0\), and \(z = 1\) into each equation and verify that they satisfy the system.For the first equation: \(x + 2y + 6z = -1 + 2(0) + 6(1) = 5\). This satisfies the first equation.For the second equation:\(-3x - 6y + 5z = -3(-1) - 6(0) + 5(1) = 3 + 5 = 8\). This satisfies the second equation.For the third equation:\(2x + 6y + 9z = 2(-1) + 6(0) + 9(1) = -2 + 9 = 7\). This satisfies the third equation.Thus, \(x = -1\), \(y = 0\), \(z = 1\) is a solution of the system.
2Step 2: Determine the Coefficient Matrix
The coefficient matrix of the system is:\[\begin{bmatrix}1 & 2 & 6 \-3 & -6 & 5 \2 & 6 & 9\end{bmatrix}\]
3Step 3: Compute the Determinant of the Coefficient Matrix
The determinant of matrix \(A\) (the coefficient matrix) is computed as:\[ \text{det}(A) = 1 \begin{vmatrix} -6 & 5 \ 6 & 9 \end{vmatrix} -2 \begin{vmatrix} -3 & 5 \ 2 & 9 \end{vmatrix} +6 \begin{vmatrix} -3 & -6 \ 2 & 6 \end{vmatrix}\]Calculate each minor determinant:1. \(-6 \times 9 - 5 \times 6 = -54 - 30 = -84\)2. \(-3 \times 9 - 5 \times 2 = -27 - 10 = -37\)3. \(-3 \times 6 - (-6) \times 2 = -18 + 12 = -6\)Therefore, \[\text{det}(A) = 1(-84) - 2(-37) + 6(-6) = -84 + 74 - 36 = -46\]
4Step 4: Determine the Solvability of the System
Since the determinant of the coefficient matrix \(A\) is non-zero \((-46)\), the matrix is invertible. This implies that the system has a unique solution. Therefore, there are no other solutions except the given one.
5Step 5: Evaluate Cramer's Rule Applicability
Cramer's Rule can be used to solve a system of equations if the determinant of the coefficient matrix is non-zero. Since \(\text{det}(A) = -46 eq 0\), Cramer's Rule can be used to solve this system.
Key Concepts
Determinant of a MatrixCramer's RuleUnique Solutions
Determinant of a Matrix
A determinant is a special number that can be calculated from a square matrix. It is an essential concept in linear algebra, especially when dealing with systems of linear equations. For a 3x3 matrix, such as \[\begin{bmatrix}1 & 2 & 6 \-3 & -6 & 5 \2 & 6 & 9\end{bmatrix}\], the determinant provides useful information about the matrix.
This calculation helps in analyzing the solvability of a system of equations.
- If the determinant of a matrix is non-zero, the matrix is invertible, meaning it has an inverse. This property is critical for determining if a system of linear equations has unique solutions.
- A zero determinant indicates that the matrix is singular, suggesting either no solutions or infinitely many solutions.
This calculation helps in analyzing the solvability of a system of equations.
Cramer's Rule
Cramer's Rule is a mathematical theorem used for solving a system of linear equations with as many equations as unknowns, provided the determinant of the coefficient matrix is non-zero. It provides a straightforward way to find the value of each variable one at a time.You apply Cramer's Rule by replacing the column of the coefficients of the variable you are solving for with the constant terms from the equations. You then calculate the determinant of this new matrix (let's call it \(D_x\) for solutions involving \(x\), for instance). Finally, the value of the variable is given by:\[x = \frac{D_x}{D}\]where \(D\) is the determinant of the original coefficient matrix.
- Cramer's Rule is only applicable when the determinant of the matrix \(D\) is non-zero.
- This method is particularly useful when solving small systems of equations due to the simplicity of the calculations.
Unique Solutions
The concept of unique solutions is central to understanding systems of linear equations. When we refer to a system having a unique solution, we mean that there is exactly one set of values for the variables that satisfies all of the equations in the system.This occurs when:
- The determinant of the coefficient matrix is non-zero, indicating that the matrix is invertible.
- The system is consistent, meaning the equations do not contradict one another.
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