Determinant of a 3×3 Matrix
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Cofactor expansion walks along the top row: take each entry, multiply it by the determinant of the 2×2 block left when you delete its row and column, and alternate the signs plus, minus, plus. For the standard textbook matrix with rows (6, 1, 1), (4, −2, 5) and (2, 8, 7): 6(−14 − 40) − 1(28 − 10) + 1(32 + 4) = −324 − 18 + 36 = −306. The answer is the signed volume of the parallelepiped spanned by the three rows, so zero means the rows are coplanar and the matrix squashes space flat — no inverse, and a linear system with no unique solution.
Determinants predate matrices by nearly two centuries. Seki Takakazu described them in Japan in 1683, and Leibniz set them out in a letter to l'Hôpital the same year, both while trying to decide when systems of equations are solvable; the word matrix itself waited until Sylvester coined it in 1850. Pierre Frédéric Sarrus gave the 3×3 diagonal shortcut in 1833 — and there lies the trap, because Sarrus's rule works for 3×3 and for nothing larger. The alternating signs are the other habitual slip: the middle term is subtracted, not added. Because D is linear in every entry, any single missing entry can be recovered — the rows (1, 2, 3), (4, ?, 6), (7, 8, 9) give a determinant of zero only when the missing entry is 5.
- = Determinant
- = Row 1, column 1
- = Row 1, column 2
- = Row 1, column 3
- = Row 2, column 1
- = Row 2, column 2
- = Row 2, column 3
- = Row 3, column 1
- = Row 3, column 2
- = Row 3, column 3
- Determinant — Determinant of a 2×2 Matrix, Exponential Growth
- Row 1, column 1 — Exponential Growth, Exponential Decay
- Row 1, column 2 — Exponential Growth, Exponential Decay
- Row 1, column 3 — Exponential Growth, Exponential Decay
- Row 2, column 1 — Exponential Growth, Exponential Decay
- Row 2, column 2 — Exponential Growth, Exponential Decay
- Row 2, column 3 — Exponential Growth, Exponential Decay
- Row 3, column 1 — Exponential Growth, Exponential Decay
- Row 3, column 2 — Exponential Growth, Exponential Decay
- Row 3, column 3 — Exponential Growth, Exponential Decay