Chapter 10: Problem 42
Use Cramer's Rule to solve the system. $$\left\\{\begin{array}{l} 6 x+12 y=33 \\ 4 x+7 y=20 \end{array}\right.$$
Short Answer
Expert verified
x = \( \frac{3}{2} \), y = 2
Step by step solution
01
Write the System as a Matrix Equation
The given system of equations can be represented as a matrix equation of the form \( A \mathbf{x} = \mathbf{b} \), where \( A \) is the coefficient matrix, \( \mathbf{x} \) is the vector of variables, and \( \mathbf{b} \) is the constant vector. Given equations:\[\begin{align*}6x + 12y &= 33 \4x + 7y &= 20\end{align*}\]This is equivalent to:\[A = \begin{pmatrix} 6 & 12 \ 4 & 7 \end{pmatrix}, \quad \mathbf{x} = \begin{pmatrix} x \ y \end{pmatrix}, \quad \mathbf{b} = \begin{pmatrix} 33 \ 20 \end{pmatrix}\]
02
Calculate the Determinant of Matrix A
The determinant of matrix \( A \) needs to be calculated as it is used in Cramer's Rule to check if the system has a unique solution.The determinant of \( A \), \( \det(A) \), is given by:\[\det(A) = \begin{vmatrix} 6 & 12 \ 4 & 7 \end{vmatrix} = 6 \cdot 7 - 12 \cdot 4 = 42 - 48 = -6\]Since \( \det(A) eq 0 \), the system has a unique solution.
03
Form the Matrices A_x and A_y
Using Cramer's Rule, replace the respective columns of \( A \) with the vector \( \mathbf{b} \) to find matrices \( A_x \) and \( A_y \).Matrix \( A_x \) is formed by replacing the first column of \( A \) with \( \mathbf{b} \):\[A_x = \begin{pmatrix} 33 & 12 \ 20 & 7 \end{pmatrix} \]Matrix \( A_y \) is formed by replacing the second column of \( A \) with \( \mathbf{b} \):\[A_y = \begin{pmatrix} 6 & 33 \ 4 & 20 \end{pmatrix} \]
04
Calculate the Determinants of A_x and A_y
Now, compute the determinants of \( A_x \) and \( A_y \) to apply Cramer's rule.The determinant of \( A_x \):\[\det(A_x) = \begin{vmatrix} 33 & 12 \ 20 & 7 \end{vmatrix} = 33 \cdot 7 - 12 \cdot 20 = 231 - 240 = -9\]The determinant of \( A_y \):\[\det(A_y) = \begin{vmatrix} 6 & 33 \ 4 & 20 \end{vmatrix} = 6 \cdot 20 - 33 \cdot 4 = 120 - 132 = -12\]
05
Solve for x and y Using Cramer's Rule
Cramer's Rule states that the solutions for \( x \) and \( y \) are given by:\[x = \frac{\det(A_x)}{\det(A)}, \quad y = \frac{\det(A_y)}{\det(A)}\]Substituting the determinants found:\[x = \frac{-9}{-6} = \frac{3}{2}, \quad y = \frac{-12}{-6} = 2\]Thus, the solution to the system is \( x = \frac{3}{2} \) and \( y = 2 \).
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Key Concepts
These are the key concepts you need to understand to accurately answer the question.
Determinant
The determinant is a special number that can be calculated from a square matrix, like a 2x2 or 3x3 matrix. It is an essential part of Cramer's Rule, which is used to solve systems of linear equations.
For a 2x2 matrix \( A \), which looks like \( \begin{pmatrix} a & b \ c & d \end{pmatrix} \), the determinant is given by the formula \( ad - bc \). This value helps to determine whether the system has a unique solution.
Why is the determinant important?
For a 2x2 matrix \( A \), which looks like \( \begin{pmatrix} a & b \ c & d \end{pmatrix} \), the determinant is given by the formula \( ad - bc \). This value helps to determine whether the system has a unique solution.
Why is the determinant important?
- If \( \det(A) eq 0 \), the matrix is invertible, which means there is a unique solution to the system of equations.
- If \( \det(A) = 0 \), the matrix does not have an inverse, and there could be no solution or infinitely many solutions.
Matrix Equation
Matrix equations are a straightforward way to represent and solve linear equations systematically. In our given exercise, the two equations:\[ 6x + 12y = 33 \]\[ 4x + 7y = 20 \]naturally fit into a matrix form.
The idea is to express these equations as \( A \mathbf{x} = \mathbf{b} \), where:
The idea is to express these equations as \( A \mathbf{x} = \mathbf{b} \), where:
- \( A \) is the coefficient matrix \( \begin{pmatrix} 6 & 12 \ 4 & 7 \end{pmatrix} \)
- \( \mathbf{x} \) is the vector of variables \( \begin{pmatrix} x \ y \end{pmatrix} \)
- \( \mathbf{b} \) is the constant vector \( \begin{pmatrix} 33 \ 20 \end{pmatrix} \)
Unique Solution
A unique solution to a system of equations means there exists exactly one set of values for the variables that satisfies all the equations simultaneously.
This condition in a system can be confirmed when the determinant of the coefficient matrix \( A \) is not zero. In linear algebra, when solving for variables \( \begin{pmatrix} x & y \end{pmatrix} \) using Cramer's Rule, having a non-zero determinant of \( A \) ensures that we can obtain distinct values for \( x \) and \( y \).
With Cramer's Rule, the solutions are given by:
This condition in a system can be confirmed when the determinant of the coefficient matrix \( A \) is not zero. In linear algebra, when solving for variables \( \begin{pmatrix} x & y \end{pmatrix} \) using Cramer's Rule, having a non-zero determinant of \( A \) ensures that we can obtain distinct values for \( x \) and \( y \).
With Cramer's Rule, the solutions are given by:
- \( x = \frac{\det(A_x)}{\det(A)} \)
- \( y = \frac{\det(A_y)}{\det(A)} \)