Determinant from row 1, column 1 (a)
| Row 1, column 1 (a) | 6 |
|---|---|
| Row 1, column 2 (b) | 1 |
| Row 1, column 3 (c) | 1 |
| Row 2, column 1 (d) | 4 |
| Row 2, column 2 (e) | -2 |
| Row 2, column 3 (f) | 5 |
| Row 3, column 1 (g) | 2 |
| Row 3, column 2 (h) | 8 |
| Row 3, column 3 (i) | 7 |
| Determinant | -306 |
| Trace (a + e + i) | 11 |
3x3 Matrix Determinant: formula
Enter the nine entries row by row: a, b, c in the first row, d, e, f in the second and g, h, i in the third. The calculator expands along the first row using cofactors: a times the minor of a, minus b times its minor, plus c times its minor. Take care with negative numbers and signs, since one wrong sign changes the result.
A matrix must be square for a determinant to exist.
3x3 Matrix Determinant: changing Row 1, column 1 (a)
| Row 1, column 1 (a) | Determinant | Trace (a + e + i) |
|---|---|---|
| 2 | -90 | 7 |
| 4 | -198 | 9 |
| 6 (example) | -306 | 11 |
| 8 | -414 | 13 |
| 10 | -522 | 15 |
3x3 Matrix Determinant: compare input ranges
| Input | Tested from | To | Determinant: low input | Determinant: high input | Swing |
|---|---|---|---|---|---|
| Row 1, column 1 (a) | 4 | 8 | -198 | -414 | 216 (71%) |
| Row 2, column 3 (f) | 4 | 6 | -260 | -352 | 92 (30%) |
| Row 2, column 2 (e) | -3 | -1 | -346 | -266 | 80 (26%) |
| Row 1, column 3 (c) | 0 | 2 | -342 | -270 | 72 (24%) |
| Row 3, column 3 (i) | 5 | 9 | -274 | -338 | 64 (21%) |
| Row 3, column 2 (h) | 7 | 9 | -280 | -332 | 52 (17%) |
| Row 1, column 2 (b) | 0 | 2 | -288 | -324 | 36 (12%) |
| Row 3, column 1 (g) | 1 | 3 | -313 | -299 | 14 (4.6%) |
| Row 2, column 1 (d) | 3 | 5 | -307 | -305 | 2 (0.7%) |
3x3 Matrix Determinant: individual input comparisons
| Input | Value | Determinant | Trace (a + e + i) |
|---|---|---|---|
| Row 1, column 1 (a) | 2 | -90 | 7 |
| 4 | -198 | 9 | |
| 6 | -306 | 11 | |
| 8 | -414 | 13 | |
| 10 | -522 | 15 | |
| Row 1, column 2 (b) | -1 | -270 | 11 |
| 0 | -288 | 11 | |
| 1 | -306 | 11 | |
| 2 | -324 | 11 | |
| 3 | -342 | 11 | |
| Row 1, column 3 (c) | -1 | -378 | 11 |
| 0 | -342 | 11 | |
| 1 | -306 | 11 | |
| 2 | -270 | 11 | |
| 3 | -234 | 11 | |
| Row 2, column 1 (d) | 2 | -308 | 11 |
| 3 | -307 | 11 | |
| 4 | -306 | 11 | |
| 5 | -305 | 11 | |
| 6 | -304 | 11 | |
| Row 2, column 2 (e) | -4 | -386 | 9 |
| -3 | -346 | 10 | |
| -2 | -306 | 11 | |
| -1 | -266 | 12 | |
| 0 | -226 | 13 | |
| Row 2, column 3 (f) | 3 | -214 | 11 |
| 4 | -260 | 11 | |
| 5 | -306 | 11 | |
| 6 | -352 | 11 | |
| 7 | -398 | 11 | |
| Row 3, column 1 (g) | 0 | -320 | 11 |
| 1 | -313 | 11 | |
| 2 | -306 | 11 | |
| 3 | -299 | 11 | |
| 4 | -292 | 11 | |
| Row 3, column 2 (h) | 6 | -254 | 11 |
| 7 | -280 | 11 | |
| 8 | -306 | 11 | |
| 9 | -332 | 11 | |
| 10 | -358 | 11 | |
| Row 3, column 3 (i) | 3 | -242 | 7 |
| 5 | -274 | 9 | |
| 7 | -306 | 11 | |
| 9 | -338 | 13 | |
| 11 | -370 | 15 |
Determinant: Row 1, column 1 (a) against Row 1, column 2 (b)
| Row 1, column 1 (a) / Row 1, column 2 (b) | -1 | 1 | 3 |
|---|---|---|---|
| 2 | -54 | -90 | -126 |
| 4 | -162 | -198 | -234 |
| 6 | -270 | -306 | -342 |
| 8 | -378 | -414 | -450 |
| 10 | -486 | -522 | -558 |
3x3 Matrix Determinant: values and definitions
| Quantity and definition | Value used |
|---|---|
| Row 1, column 1 (a) | 6 |
| Row 1, column 2 (b) | 1 |
| Row 1, column 3 (c) | 1 |
| Row 2, column 1 (d) | 4 |
| Row 2, column 2 (e) | -2 |
| Row 2, column 3 (f) | 5 |
| Row 3, column 1 (g) | 2 |
| Row 3, column 2 (h) | 8 |
| Row 3, column 3 (i) | 7 |
| Determinant | -306 |
| Trace (a + e + i) | 11 |
Common error: Dropping or mis-signing a cofactor term. The alternating positive-negative-positive sign pattern across a row is easy to lose track of by hand, and a single sign error changes the determinant's sign or magnitude without looking obviously wrong.
A zero determinant rules out a unique solution, but a singular system can still be consistent with infinitely many solutions. The right-hand side decides consistency; the determinant alone does not. Rounding and cancellation matter for nearly dependent rows.
Cofactor expansion is suitable for this size but is not a general recommendation for large numerical matrices.
Cofactor expansion reduces a 3x3 determinant to three 2x2 determinants, the same pattern that extends to any size matrix: understanding it here is what makes a 4x4 or larger determinant tractable by hand, one row or column at a time, rather than an opaque black-box operation.
Expand along a different row or column as an independent check; cofactor expansion gives the identical determinant regardless of which row or column is chosen, so two different expansions that disagree point to an arithmetic slip.
See the 2 by 2 version on the 2x2 determinant calculator, and vector products on the dot product calculator, where the cross product uses a determinant. The distance and slope page and the midpoint page work in coordinates. The rectangular prism calculator gives volumes of boxes, which a determinant generalizes.
Understand the quantities in this calculation
How do I calculate a 3x3 determinant?
Expand along the first row: multiply each entry by the determinant of the 2 by 2 matrix left after deleting its row and column, alternating plus and minus signs.
What does the sign of the determinant tell me?
A negative determinant means the transformation flips orientation, like a mirror image, and the absolute value is the volume scale factor.