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Using Cramer's Rule In Exercises \(7-16,\) use Cramer's Rule to solve (if possible) the system of equations. $$\left\\{\begin{array}{rr}{4 x-y+z=} & {-5} \\ {2 x+2 y+3 z=} & {10} \\ {5 x-2 y+6 z=} & {1}\end{array}\right. $$

Short Answer

Expert verified
The solutions are \( x = -53/29, y = 165/29, z = 118/29 \)

Step by step solution

01

Finding the Determinant of the Coefficient Matrix

Make the coefficient matrix A by taking only the coefficients of x, y and z from the system and evaluate its determinant. Matrix A is:\[ A = \begin{bmatrix}4 & -1 & 1 \2 & 2 & 3 \5 & -2 & 6\end{bmatrix} \]The determinant of A, denoted as |A| is\( |A| = 4(2*6 - 3*(-2)) - (-1)(2*6 - 5*3) + 1*(2*(-2) - 2*5) = 56 + 3 - 30 = 29 \)
02

Finding the Determinants of the 'x', 'y' and 'z' Matrices

Make matrix Ax by replacing the x coefficients in A with the constants on the right of the equations, Ay by replacing the y coefficients and Az by replacing the z coefficients, then find their determinants.\[ Ax = \begin{bmatrix}-5 & -1 & 1 \10 & 2 & 3 \1 & -2 & 6\end{bmatrix} \]\[ |Ax| = -5(2*6 - 3*(-2)) - (-1)(10*6 - 1*3) + 1*(10*(-2) - 2*1) = -90 + 57 - 20 = -53 \]\[ Ay = \begin{bmatrix}4 & -5 & 1 \2 & 10 & 3 \5 & 1 & 6\end{bmatrix} \]\[ |Ay| = 4(10*6 - 3*1) - (-5)(2*6 - 5*3) + 1*(2*1 - 10*5) = 228 - 15 - 48 = 165 \]\[ Az = \begin{bmatrix}4 & -1 & -5 \2 & 2 & 10 \5 & -2 & 1\end{bmatrix} \]\[ |Az| = 4(2*1 - 10*(-2)) - (-1)(2*1 - 5*10) + (-5)*(2*(-2) - 2*5) = 100 + 48 - 30 = 118 \]
03

Applying Cramer's Rule to Find 'x', 'y' and 'z'

According to Cramer's Rule,\[ x = |Ax| / |A| = -53 / 29 \]\[ y = |Ay| / |A| = 165 / 29 \]\[ z = |Az| / |A| = 118 / 29 \]

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Key Concepts

These are the key concepts you need to understand to accurately answer the question.

Systems of Linear Equations
When we speak about systems of linear equations, we are referring to a collection of two or more linear equations with the same set of variables. The goal is to find the values of these variables that satisfy all equations in the system simultaneously.

For instance, in our exercise, we have a system of three equations with three unknowns (x, y, and z). Solving such a system can be done in various ways, including graphically, using substitution or elimination, and, as highlighted by the given problem, by using Cramer's Rule, which is an algebraic method relying on the determinant of matrices.
Determinant of a Matrix
The determinant of a matrix is a special number that is calculated from its elements. In case of a 2x2 matrix, the determinant is found by subtracting the product of its diagonals. However, as the size of the matrix increases, the calculation becomes more complex.

For a 3x3 matrix, as seen in our example, the determinant can be calculated using the 'Rule of Sarrus' or a method involving cross-multiplication and subtraction involving the expansion of minors and cofactors. For the coefficient matrix A in our exercise, the determinant is found to be 29.
Coefficient Matrix
A coefficient matrix is constructed from a system of linear equations by taking only the coefficients of the variables. This matrix is a key element in matrix algebra and is used to represent the system in a compact form.

In the system from our exercise, the coefficient matrix A is a 3x3 matrix containing the coefficients of x, y, and z in each equation. Matrix algebra allows us to manipulate this matrix to find solutions for the variables in the system, as is done when applying Cramer's Rule.
Matrix Algebra
Matrix algebra encompasses operations that can be performed on matrices, such as addition, subtraction, multiplication, and finding the inverse or the determinant. It’s an essential part of linear algebra, and it's used extensively to solve systems of linear equations.

In Cramer's Rule, matrix algebra is employed to calculate the determinants of the coefficient matrix and the modified matrices, which have one column replaced by the constants from the right-hand side of the equations. The determinants of these matrices are then used to find the values of x, y, and z in a manner that is typically easier than other methods for larger systems.

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