Elimination, Pivots and Free Variables
Reduce an augmented matrix and describe every solution, including inconsistent and underdetermined cases.
Builds on Vectors, Linear Combinations and Systems
The bigger question: What does a system of equations look like geometrically?
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Preserve the solution set
Three elementary row operations preserve solutions of a linear system: swap rows, multiply a row by a nonzero scalar, and add a multiple of one row to another. Apply them to the entire augmented matrix , including the right-hand side.
Echelon form places each leading nonzero entry, called a pivot, farther right than the pivot above it. Reduced row echelon form also makes each pivot and clears its column above and below. Nonpivot variable columns correspond to free variables. A row with proves inconsistency.
Visual guide
- x + y = 3
- x − y = 1
- After adding: x = 2
Worked example: a unique solution
For , , subtract twice the first row from the second. This gives , so . Back-substitution gives . There is a pivot in both variable columns and no contradiction, so the solution is unique.
Try it yourself.
Choose an answer and explain your reasoning to yourself. Use a hint if you get stuck.
Hint 1 · Find a starting point
Translate the row back into an equation.
Hint 2 · Take the next step
It says 0x+0y=1.
Show the reasoning
Answer: The system has no solution.
The impossible equation 0=1 makes the entire system inconsistent.
Before moving on: what would make one of the other answers wrong? Saying why is part of understanding.
Worked example: a family of solutions
For and , the second equation is redundant. Let and . Then
This expresses every solution, not just one example. If the second right-hand side were , elimination would instead produce , so no solution would exist.
In floating-point computation, choosing a reasonably large pivot through row exchanges reduces avoidable numerical error. Exact symbolic elimination and finite-precision elimination have different practical concerns; a very small computed pivot may require a tolerance informed by the scale of the data.
Practice
- Solve , .
- Describe all solutions of .
- Interpret the augmented row .
Show worked solutions
- Adding equations gives , then .
- Set : .
- It asserts , so the system is inconsistent.
Pause before the next idea.
Can you explain how the visualization connects to this lesson’s goal? If a step still feels uncertain, put this lesson on your review list and try the check again another day.