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Use Gauss-Jordan row reduction to solve the given systems of equation. We suggest doing some by hand, and others using technology. HINT [See Examples 1-6.] $$ \begin{aligned} &2 x+3 y=5 \\ &3 x+2 y=5 \end{aligned} $$

Short Answer

Expert verified
The solution to the given system of equations using Gauss-Jordan row reduction is \(x = 2\) and \(y = 0\).

Step by step solution

01

Write the augmented matrix of the system

Given the system: $$ \begin{aligned} & 2x+3y=5 \\ & 3x+2y=5 \end{aligned} $$ First, we will write the augmented matrix for this system. The augmented matrix is a matrix that consists of the coefficients of the variables and the constants, separated by a vertical line. The matrix for the given system is: $$ \left[\begin{array}{cc|c} 2 & 3 & 5 \\ 3 & 2 & 5 \end{array}\right] $$
02

Perform row operations to reach RREF

Now, we will perform elementary row operations to simplify the matrix to its reduced row-echelon form (RREF). In RREF, the main diagonal elements (the elements from the top-left corner to the bottom-right corner) should be 1, and all elements below the main diagonal should be 0. First, swap row 1 and row 2 to have a leading 1 in the first row: $$ \left[\begin{array}{cc|c} 3 & 2 & 5 \\ 2 & 3 & 5 \end{array}\right] $$ Divide row 1 by 3: $$ \left[\begin{array}{cc|c} 1 & \frac{2}{3} & \frac{5}{3} \\ 2 & 3 & 5 \end{array}\right] $$ Next, replace the second row with the second row minus twice the first row: \((2,3,5) - 2\cdot(1,\frac{2}{3},\frac{5}{3}) \rightarrow (0,2,0)\) $$ \left[\begin{array}{cc|c} 1 & \frac{2}{3} & \frac{5}{3} \\ 0 & 2 & 0 \end{array}\right] $$ Now, divide row 2 by 2: $$ \left[\begin{array}{cc|c} 1 & \frac{2}{3} & \frac{5}{3} \\ 0 & 1 & 0 \end{array}\right] $$ Replace the first row with the first row minus \(\frac{2}{3}\) times the second row: \((1,\frac{2}{3},\frac{5}{3}) - \frac{2}{3}\cdot(0,1,0) \rightarrow (1,0,2)\) $$ \left[\begin{array}{cc|c} 1 & 0 & 2 \\ 0 & 1 & 0 \end{array}\right] $$
03

Read the solution from the RREF matrix

The matrix is now in RREF. We can read the solution directly from the matrix: $$ \begin{aligned} x &= 2 \\ y &= 0 \end{aligned} $$ So the solution to the given system of equations is \(x=2\) and \(y=0\).

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Key Concepts

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

System of Equations
In algebra, a system of equations is a set of two or more equations that have several variables in common. The goal is to find the values of these variables that satisfy all of the equations simultaneously. When working with a system of linear equations, which is the most common type, the solution can be a single point where the graphs of the equations intersect.

This system can be solved using various methods, including graphing, substitution, elimination, and matrix methods such as Gauss-Jordan row reduction. The latter is particularly efficient for systems with many equations or when seeking a precise algebraic solution.
Reduced Row-Echelon Form (RREF)
The reduced row-echelon form (RREF) of a matrix is an organized structure that makes solving systems of linear equations more straightforward. When a matrix representing a system of equations is in this form, it has the following properties:
  • The leading coefficient in each row is strictly 1 (known as a leading 1).
  • Each leading 1 is the only non-zero entry in its column.
  • The leading 1 in a row is to the right of any leading 1s in the rows above it.
  • Any rows containing only zeroes are at the bottom of the matrix.
Once a matrix is in RREF, the solutions can typically be read off directly, dramatically simplifying the process of solving the system of equations.
Elementary Row Operations
To achieve the RREF, one must perform elementary row operations on the matrix. These operations maintain the equivalence of the system and include three types:
  1. Type 1: Swap the positions of two rows.
  2. Type 2: Multiply a row by a non-zero constant.
  3. Type 3: Add or subtract the multiple of one row to another row.
By systematically applying these operations, you can simplify the augmented matrix step by step until you reach RREF, at which point the system's solutions become evident.
Augmented Matrix
An augmented matrix is a visual representation of a system of equations that consolidates all coefficients of the variables and the constants into a matrix format, with a vertical line separating the coefficients and the constants. It is a powerful tool because it condenses the system into a compact form that can be manipulated using elementary row operations to find solutions. In essence, every row of an augmented matrix corresponds to an individual equation, and every column (except for the last one) represents the coefficients of a particular variable in the system.

By focusing on just the matrix, the variables are temporarily set aside so that we can concentrate on the numerical values and their relationships, a stepping stone to eventually solving for the values of the variables.

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Most popular questions from this chapter

Use technology to obtain approximate solutions graphically. All solutions should be accurate to one decimal place. Find the intersection of the line through \((0,1)\) and \((4.2,2)\) and the line through \((2.1,3)\) and \((5.2,0)\).

Use Gauss-Jordan row reduction to solve the given systems of equation. We suggest doing some by hand, and others using technology. HINT [See Examples 1-6.] $$ \begin{aligned} x+y+\quad 4 w &=1 \\ 2 x-2 y-3 z+2 w &=-1 \\ 4 y+6 z+w &=4 \\ 3 x+3 y+3 z+7 w &=4 \end{aligned} $$

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You have a mixture of Designer Whey and Muscle Milk that costs a total of \(\$ 14\) and supplies exactly \(104 \mathrm{~g}\) of carbohydrates. How many grams of protein does it supply?

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