Ruled

Determinants

Evaluating 2×2 and 3×3 determinants, cofactor expansion along any row or column, Sarrus' rule, and the seven properties that turn a hard determinant into an easy one.

A determinant is a single number attached to a square matrix. Written or or . Non-square matrices do not have one.

The number answers a question that runs through the whole module: is this matrix invertible? If it is; if it is not.

Order 1 and order 2

Main diagonal product minus anti-diagonal product.

Minors and cofactors

For a square matrix of order :

Minor — the determinant of the matrix left after deleting row and column .

Cofactor — the minor with a sign attached:

The signs form a fixed checkerboard, always starting with at the top left:

Order 3 — expansion by cofactors

that is, expansion along the first row. Written out:

You may expand along any row or any column and get the same answer. So expand along whichever line has the most zeros — each zero kills a whole determinant. This is the single biggest time-saver in the topic.

Formally, for any fixed or any fixed :

And a useful companion fact: expanding along one row using another row's cofactors always gives zero.

Sarrus' rule (3 × 3 only)

Copy the first two columns to the right, then add the three down-right diagonals and subtract the three down-left ones.

Fast, but it works for order only. Never attempt it on a .

Properties of determinants

These are the tools for handling anything larger or messier than a plain .

P1 — Transpose. .
Every property stated for rows therefore holds for columns too.

P2 — Row/column interchange. Swapping two rows (or two columns) multiplies the determinant by .

P3 — Identical lines. If two rows (or two columns) are identical, .
(Follows from P2: swapping them leaves unchanged but negates , so .)

P4 — Common factor. If every element of one row is multiplied by , the determinant is multiplied by . Read backwards: a common factor can be taken out of a single row.

P5 — Zero line. If any row or column is entirely zero, .

P6 — Proportional lines. If one row is a scalar multiple of another, .

P7 — Row operation invariance. Adding a multiple of one row to another row leaves the determinant unchanged:

This is the workhorse. Use it to manufacture zeros, then expand along the line you created.

P8 — Sum splitting. If one row is a sum, the determinant splits:

P9 — Triangular matrices. For a triangular (or diagonal) matrix, is the product of the diagonal elements.

P10 — Product rule. .
Consequences worth memorising: , and .

Singular versus non-singular

Choosing a method

SituationBest method
, no zerosSarrus, or expansion along row 1
with a zero-rich row/columnExpand along that line
with symbols or repeated entriesRow operations (P7) first
and aboveRow operations to make a zero-rich line, then expand
TriangularMultiply the diagonal

Worked examples

4 solved

Every step is shown, in the order you would write it in an answer book.

Example 1

Order 3 by expansion along the first row

Question

Evaluate .

  1. Write the expansion with the checkerboard signs

  2. Evaluate the three 2 × 2 determinants



  3. Combine

  4. Cross-check by expanding along column 2

    Column 2 is with signs :

Answer

NoteWatch the sign on the middle term: it is −a₁₂ × M₁₂, so a negative a₁₂ produces a positive contribution.

Example 2

Exploiting zeros — expanding along the best line

Question

Evaluate .

  1. Find the emptiest line

    Column 3 is — three zeros. Expanding along it leaves a single term.

  2. Expand along column 3

    The surviving element is , with sign :

  3. Repeat the trick on the 3 × 3

    Its column 2 is — expand along it. The surviving element is at position , sign :

  4. Combine

Answer

NoteA 4×4 that would take six 3×3 expansions collapsed to one 2×2. Always scan for the emptiest row or column first.

Example 3

Using row operations to manufacture zeros

Question

Evaluate using properties.

  1. Clear column 1 using row 1

    Apply and . By P7 the determinant is unchanged.

    :
    :

  2. Expand along the new column 1

    Only survives, with sign :

  3. Evaluate

  4. Check directly

    Expanding the original along row 1:

Answer

Example 4

A determinant with symbols — factorising by properties

Question

Prove that .

  1. Create zeros with column operations

    Apply and (both allowed by P7, applied to columns via P1):

  2. Take common factors out of columns 1 and 2

    Column 1 has the common factor , since . Column 2 has . By P4:

  3. Expand along row 1

    Only the entry at position survives, with sign :

  4. Evaluate and simplify

Answer

NoteThis is the 3×3 Vandermonde determinant. The pattern — subtract adjacent columns, then pull out the differences — solves most symbolic determinant questions.

Practice problems

7 with solutions

Work each one on paper first. The full solution — not just the answer — is one click away.

Problem 1Basic

Evaluate (a)   (b)

Show solution

(a)

(b)

Result (b) says every rotation matrix has determinant — rotation preserves area, which is exactly what a determinant of means geometrically.

Answer(a)    (b)
Problem 2Basic

Find the minor and the cofactor of .

Show solution

Minor. Delete row and column :

Cofactor. Attach the sign :

Answer,
Problem 3Exam level

Evaluate by (a) expansion along row 1 and (b) Sarrus' rule.

Show solution

(a) Expansion along row 1.

(b) Sarrus' rule.

Down-right diagonals:

Down-left diagonals:

Both methods agree.

Answer
Problem 4Exam level

Find if .

Show solution

Expand along row 1:

Try : ✓, so is a factor.

Dividing:

At each of these values the matrix is singular.

Answer
Problem 5Exam level

Without expanding, show that .

Show solution

Apply the column operation , which by P7 leaves the determinant unchanged:

Column 3 now has the common factor . Take it out by P4:

Columns and are now identical, so by P3 the determinant is zero:

No expansion was needed at any point.

Answer, since a column operation produces two identical columns.
Problem 6Exam level

If is a matrix with , find (a) , (b) , (c) , (d) , (e) .

Show solution

Here throughout.

(a) , so

(b)

(c)

(d)

(e)

The trap in (a) and (e) is writing . The scalar comes out once per row, and there are rows.

Answer(a) (b) (c) (d) (e)
Problem 7Challenge

Evaluate and state when it is zero.

Show solution

Apply . Every entry of the new row 1 becomes :

Now clear row 1 with and :

Expand along row 1:

Using the identity :

When is it zero? Either , or . The second factor equals , which for real numbers vanishes only when .

So or .

Answer; zero exactly when or .