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Mathematics · Ch 4 — Determinants

Determinant of a Matrix of Order 3 × 3

4.2.3

Determinant of a Matrix of Order 3 × 3

4.2.3 Determinant of a Matrix of Order 3 × 3

The Core Idea: Expanding a 3×3 Determinant

A determinant of order 3 is found by expressing it in terms of second-order (2×22 \times 2) determinants — a process called expansion of a determinant along a row (or a column).

There are exactly six ways to expand a 3×33 \times 3 determinant — along each of the three rows (R1,R2,R3R_1, R_2, R_3) and each of the three columns (C1,C2,C3C_1, C_2, C_3). Remarkably, all six expansions give the same numerical value, a fundamental property that makes determinants consistent and powerful.


Expansion Along the First Row (R1R_1)

Consider a general matrix A=[aij]A = [a_{ij}] and its determinant:

∣A∣=∣a11a12a13a21a22a23a31a32a33∣|A| = \begin{vmatrix} a_{11} & a_{12} & a_{13} \\ a_{21} & a_{22} & a_{23} \\ a_{31} & a_{32} & a_{33} \end{vmatrix}

The expansion along the first row is built element by element:

›Proof

Step-by-step expansion along R1R_1

Step 1: Take a11a_{11} (row 1, column 1). Multiply it by the sign factor (−1)1+1(-1)^{1+1} and by the 2×22 \times 2 determinant obtained by deleting row 1 and column 1:

(−1)1+1a11∣a22a23a32a33∣(-1)^{1+1} a_{11} \begin{vmatrix} a_{22} & a_{23} \\ a_{32} & a_{33} \end{vmatrix}

Step 2: For a12a_{12} (row 1, column 2), multiply by (−1)1+2(-1)^{1+2} and by the determinant left after deleting row 1 and column 2:

(−1)1+2a12∣a21a23a31a33∣(-1)^{1+2} a_{12} \begin{vmatrix} a_{21} & a_{23} \\ a_{31} & a_{33} \end{vmatrix}

Step 3: For a13a_{13} (row 1, column 3), multiply by (−1)1+3(-1)^{1+3} and by the determinant left after deleting row 1 and column 3:

(−1)1+3a13∣a21a22a31a32∣(-1)^{1+3} a_{13} \begin{vmatrix} a_{21} & a_{22} \\ a_{31} & a_{32} \end{vmatrix}

Step 4: The determinant is the sum of these three terms:

∣A∣=(−1)1+1a11∣a22a23a32a33∣+(−1)1+2a12∣a21a23a31a33∣+(−1)1+3a13∣a21a22a31a32∣|A| = (-1)^{1+1} a_{11} \begin{vmatrix} a_{22} & a_{23} \\ a_{32} & a_{33} \end{vmatrix} + (-1)^{1+2} a_{12} \begin{vmatrix} a_{21} & a_{23} \\ a_{31} & a_{33} \end{vmatrix} + (-1)^{1+3} a_{13} \begin{vmatrix} a_{21} & a_{22} \\ a_{31} & a_{32} \end{vmatrix}

Evaluating each 2×22 \times 2 determinant (recall ∣pqrs∣=ps−qr\begin{vmatrix} p & q \\ r & s \end{vmatrix} = ps - qr):

∣A∣=a11(a22a33−a32a23)−a12(a21a33−a31a23)+a13(a21a32−a31a22)|A| = a_{11}(a_{22}a_{33} - a_{32}a_{23}) - a_{12}(a_{21}a_{33} - a_{31}a_{23}) + a_{13}(a_{21}a_{32} - a_{31}a_{22})

which expands to

∣A∣=a11a22a33−a11a32a23−a12a21a33+a12a31a23+a13a21a32−a13a31a22|A| = a_{11}a_{22}a_{33} - a_{11}a_{32}a_{23} - a_{12}a_{21}a_{33} + a_{12}a_{31}a_{23} + a_{13}a_{21}a_{32} - a_{13}a_{31}a_{22}

This is equation (1) — the standard expansion along the first row.

Tip

In practice you apply all four steps together in one go; the step-by-step breakdown is only for understanding the logic.


Expansion Along the Second Row (R2R_2)

Expanding along a different row must give the same result:

›Proof

Expansion along R2R_2

For each element of row 2, multiply by (−1)row+col(-1)^{\text{row}+\text{col}} and by the 2×22 \times 2 determinant from deleting its row and column:

∣A∣=−a21∣a12a13a32a33∣+a22∣a11a13a31a33∣−a23∣a11a12a31a32∣|A| = -a_{21}\begin{vmatrix} a_{12} & a_{13} \\ a_{32} & a_{33} \end{vmatrix} + a_{22}\begin{vmatrix} a_{11} & a_{13} \\ a_{31} & a_{33} \end{vmatrix} - a_{23}\begin{vmatrix} a_{11} & a_{12} \\ a_{31} & a_{32} \end{vmatrix}

=−a21(a12a33−a32a13)+a22(a11a33−a31a13)−a23(a11a32−a31a12)= -a_{21}(a_{12}a_{33} - a_{32}a_{13}) + a_{22}(a_{11}a_{33} - a_{31}a_{13}) - a_{23}(a_{11}a_{32} - a_{31}a_{12})

Expanding and rearranging the terms gives

∣A∣=a11a22a33−a11a23a32−a12a21a33+a12a23a31+a13a21a32−a13a31a22|A| = a_{11}a_{22}a_{33} - a_{11}a_{23}a_{32} - a_{12}a_{21}a_{33} + a_{12}a_{23}a_{31} + a_{13}a_{21}a_{32} - a_{13}a_{31}a_{22}

This is exactly equation (1) again — the same six products with the same signs, in a different order.


Expansion Along the First Column (C1C_1)

›Proof

Expansion along C1C_1

For each element of column 1:

∣A∣=a11∣a22a23a32a33∣−a21∣a12a13a32a33∣+a31∣a12a13a22a23∣|A| = a_{11}\begin{vmatrix} a_{22} & a_{23} \\ a_{32} & a_{33} \end{vmatrix} - a_{21}\begin{vmatrix} a_{12} & a_{13} \\ a_{32} & a_{33} \end{vmatrix} + a_{31}\begin{vmatrix} a_{12} & a_{13} \\ a_{22} & a_{23} \end{vmatrix}

=a11(a22a33−a23a32)−a21(a12a33−a13a32)+a31(a12a23−a13a22)= a_{11}(a_{22}a_{33} - a_{23}a_{32}) - a_{21}(a_{12}a_{33} - a_{13}a_{32}) + a_{31}(a_{12}a_{23} - a_{13}a_{22})

Expanding gives

∣A∣=a11a22a33−a11a23a32−a21a12a33+a21a13a32+a31a12a23−a31a13a22|A| = a_{11}a_{22}a_{33} - a_{11}a_{23}a_{32} - a_{21}a_{12}a_{33} + a_{21}a_{13}a_{32} + a_{31}a_{12}a_{23} - a_{31}a_{13}a_{22}

which again matches equation (1).

Important

The value of a 3×33 \times 3 determinant is the same regardless of the row or column you expand along, so you can choose the most convenient one. (Expansions along R3R_3, C2C_2, C3C_3 are left as an exercise.)


Practical Remarks for Calculation

Tip

For easier calculation, expand along the row or column with the most zeros — each zero eliminates a term.

The sign pattern. Instead of computing (−1)i+j(-1)^{i+j} each time, use the checkerboard pattern: …