Problem 28

Question

Each augmented matrix is in row echelon form and represents a linear system. Use back-substitution to solve the system if possible. $$\left[\begin{array}{rrr|r} 1 & -1 & 2 & 8 \\ 0 & 1 & -4 & 2 \\ 0 & 0 & 0 & 0 \end{array}\right]$$

Step-by-Step Solution

Verified
Answer
The solution set is \((x_1, x_2, x_3) = (6t + 10, 4t + 2, t)\) for any real \(t\).
1Step 1: Analyze the Augmented Matrix
The given augmented matrix is \( \begin{bmatrix} 1 & -1 & 2 & 8 \ 0 & 1 & -4 & 2 \ 0 & 0 & 0 & 0 \end{bmatrix} \). Notice that the third row is composed entirely of zeros, which indicates a dependent system with fewer equations than variables.
2Step 2: Set Up the Corresponding System of Equations
Translate the non-zero rows of the matrix into equations. The first row, \([1, -1, 2 | 8]\), translates to the equation \(x_1 - x_2 + 2x_3 = 8\). The second row, \([0, 1, -4 | 2]\), translates to \(x_2 - 4x_3 = 2\).
3Step 3: Express the Leading Variables
Solve for the leading variables. From the second equation, express \(x_2\) in terms of \(x_3\): \(x_2 = 4x_3 + 2\). Substitute \(x_2\) into the first equation to express \(x_1\): \(x_1 = x_2 - 2x_3 + 8\). Simplifying, \(x_1 = 6x_3 + 10\).
4Step 4: Write the General Solution
Since the third row was all zeros, \(x_3\) is a free variable. Express \(x_1\) and \(x_2\) in terms of \(x_3\), the parameter. The solution is: \(x_1 = 6x_3 + 10\), \(x_2 = 4x_3 + 2\), and \(x_3 = x_3\). Thus, the general solution in parametric form is \( (x_1, x_2, x_3) = (6t + 10, 4t + 2, t) \) where \(t\) is any real number.

Key Concepts

Row Echelon FormBack-SubstitutionParametric Equations
Row Echelon Form
In linear algebra, one of the key methods used to express linear systems is the Row Echelon Form (REF). When a matrix is in this form, it simplifies solving the corresponding system of equations. A matrix is considered to be in row echelon form when these rules are met:
  • All non-zero rows are above any rows of all zeroes.
  • The leading entry (also called a pivot) of each non-zero row is to the right of the leading entry of the row above it.
  • The leading entry in any row is 1, if possible.
For example, the given matrix, \[\begin{bmatrix} 1 & -1 & 2 & 8 \ 0 & 1 & -4 & 2 \ 0 & 0 & 0 & 0 \end{bmatrix}\]fits these criteria, making it a row echelon form. The matrix showcases a dependent system, as the third row is all zeros, suggesting fewer equations than variables. This sets the stage for solving the system using techniques like back-substitution.
Back-Substitution
Back-substitution is a method used to solve systems of equations that have been converted to row echelon form. It involves starting from the last non-zero row and working upwards to find the variable values. In our case, once the matrix is already in REF, we translate it to the system of equations:
  • \(x_1 - x_2 + 2x_3 = 8\)
  • \(x_2 - 4x_3 = 2\)
Since the third row is zero, it tells us there is potential for a free variable. From the second equation, we solve for \(x_2\) in terms of \(x_3\): \[x_2 = 4x_3 + 2\] We then substitute \(x_2\) in the first equation to express \(x_1\): \[x_1 = 6x_3 + 10\] This provides the solution in terms of a single parameter \(t\), allowing us to write the answer in parametric form.
Parametric Equations
Parametric equations offer a convenient way to express solutions of systems with free variables. In this context, the solution of a linear system may not be unique. Instead, a whole set of solutions expressed using a parameter could be found. In our exercise, \(x_3\) is taken as the parameter because the corresponding row in the matrix contained all zeros.By solving:
  • \(x_1 = 6x_3 + 10\)
  • \(x_2 = 4x_3 + 2\)
  • \(x_3 = x_3\)
We incorporate \(x_3\) as the parameter \(t\), leading to the parametric form:\[(x_1, x_2, x_3) = (6t + 10, 4t + 2, t)\]This representation communicates that each variable depends on \(t\), a real number, thus describing an infinite set of solutions. Parametric solutions are particularly useful for systems with infinitely many possible solutions, providing a way to easily write all of them.