3x3 System of Equations Solver
Solve a 3x3 system of linear equations by coefficients with Cramer's rule, Gaussian elimination steps, classification, and answer check.
A 3x3 linear system is solved from three coefficient rows. The calculator shows variable values, determinant checks, and Gaussian elimination classification.
What the 3x3 system solver calculates
This page uses coefficient input. Fill three rows of a 3x4 augmented matrix: coefficients of x, y, z, and the constant for each equation. It is the fast workflow when the system is already in linear form.
x, y, and z are the unknowns; a11 through a33 are coefficients; b1 through b3 are constants.
| Format | What to enter | Best when |
|---|---|---|
| Coefficient matrix | three coefficients and one constant per row | the coefficients are already known |
| Free-form equation text | three complete equations | the equations still need parsing or rearranging |
Cramer's rule and determinants
Cramer's rule calculates the main determinant of the coefficient matrix and three replacement determinants. If the main determinant is nonzero, the system has one ordered triple.
The replacement determinants are divided by the main determinant Delta.
Gaussian elimination
Gaussian elimination works on the augmented matrix. Forward elimination clears entries below pivot positions, and back substitution finds the values when a unique solution exists. The row-echelon form also reveals contradictions and free variables.
- Enter the three coefficient rows and constants
- Review the main and replacement determinants
- Compare the Cramer's rule result with Gaussian elimination
- Open the substitution check for a unique solution
Three result types
| Signal | Calculator output | Meaning |
|---|---|---|
| Main determinant is nonzero | values of x, y, z and a check | unique solution |
| Main determinant is zero with no contradiction | infinitely many solutions | free variables exist |
| Gaussian elimination finds a contradictory row | no solution | inconsistent system |
Cramer's rule vs Gaussian elimination
| Criteria | Cramer's rule | Gaussian elimination |
|---|---|---|
| Uses | determinants | row operations |
| Numerical answer | when the main determinant is nonzero | after forward elimination and back substitution |
| Visible steps | main and replacement determinants | augmented matrix and row-echelon form |
| Main value | compact answer check | classification of singular cases |
How to prepare the system
Move the variable terms to the left and leave the constant on the right. If a variable is missing in a row, enter zero in that coefficient cell. Fractions can be entered as.
| Step | Example |
|---|---|
| Original row | x equals y plus z plus one |
| After moving terms | coefficients of x, y, z are 1, -1, -1 |
| Matrix input | enter 1, -1, -1, 1 |
Frequently Asked Questions
Sources and References
Calculations are based on the listed reference sources. Links open in a new tab.
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