Linear Equation Solver
Solve systems of linear equations with step-by-step Gaussian elimination, interactive augmented matrix visualization, and exact fraction arithmetic.
System Size (2 × 2):
Display:
Equations
Augmented Matrix [A|b]
| x | y | b |
|---|---|---|
Solution
Infinitely Many Solutions
Free variables x, y
0 = 0
0 = 0
Augmented Matrix
Original System
| [ | ] | |||
0 / 0
Reference Guide
Types of Solutions
Unique Solution Lines (or planes) intersect at exactly one point. The system has full rank.
No Solution Lines are parallel (inconsistent). At least one row reduces to where .
Infinite Solutions Lines overlap (dependent). Free variables appear, described in parametric form.
Gaussian Elimination
A systematic algorithm to solve systems by transforming the augmented matrix to reduced row echelon form (RREF).
- Forward elimination Use row operations to create zeros below each pivot
- Scale pivots Divide each pivot row so the pivot becomes 1
- Back substitution Eliminate above each pivot to get RREF
Cramer's Rule
For a 2×2 system , when :
Where replaces column 1 of with , and similarly for .
For a 2×2 matrix:
Matrix Rank & Solution Type
The rank of a matrix is the number of non-zero rows after row reduction (the number of pivot positions).
: Unique solution
: No solution
: Infinite solutions with free variables
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