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GuidePublished 15 Aug 20265 min readBy Kevin Jogindeterminantsminorscofactorscofactor expansion
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KEVOS AIDeterminants, Minors and Cofactors

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Matrices and Determinants

Determinants, Minors and Cofactors

A single number that decides whether a matrix is invertible, the 2 × 2 rule, and expansion by minors and cofactors for larger matrices.

Category Engineering / MathematicsStream Matrices and DeterminantsLevel AdvancedReading 5 minSource Week 12, pages 11-14

What this page covers

  • Compute a 2 × 2 determinant
  • Find the minor of an entry
  • Attach the correct cofactor sign
  • Expand a 3 × 3 determinant along any row or column
On this page
  1. The 2×2 determinant
  2. Minors
  3. Cofactors
  4. Expansion
  5. What the determinant decides
  6. Common mistakes
  7. Frequently asked questions

The 2×2 determinant

Determinant of a 2 × 2 matrix

For A = [[a, b], [c, d]]:

|A| = ad - bcSource, Week 12, page 11

Multiply down the main diagonal, multiply down the other diagonal, subtract.

The source's example

For [[7, 2], [3, -1]]:

|A| = (7)(-1) - (2)(3) = -7 - 6 = -13Source, Week 12, page 11
Watch out

Both products carry their own signs. Here (7)(-1) = -7 and the subtraction of 6 makes it -13, not -1. Writing each product in brackets before combining prevents the slip.

The determinant already appeared in the inverse formula, where it is the quantity divided by. That is its primary role: a zero determinant means the division is impossible and no inverse exists.

Minors

Minor

The minor Mij of the entry aij is the determinant of the matrix formed by deleting the ith row and the jth column.

The source's own example is the minor of the central entry of a 3 × 3 matrix. Deleting row 2 and column 2 leaves the four corner entries:

M22 = determinant of matrix(a11, a13; a31, a33)Source, Week 12, page 11

Each minor of a 3 × 3 matrix is a 2 × 2 determinant, which is why expansion reduces a larger problem to several smaller ones.

Cofactors

Cofactor
Cij = (-1)i+j MijA minor with an alternating sign attached

The factor (-1)i+j is +1 when i + j is even and -1 when it is odd. The result is a checkerboard:

The sign pattern for a 3 × 3 matrix
Column 1Column 2Column 3
Row 1+-+
Row 2-+-
Row 3+-+
Reconstructing the pattern

Start with + in the top-left and alternate in both directions. That is faster and more reliable than computing (-1)i+j each time, and the source writes the powers explicitly as (-1)2+1, (-1)2+2, (-1)2+3 when expanding along the second row.

Expansion

Cofactor expansion

Choose any row or column. Multiply each entry by its cofactor and add. The result is the determinant, and it is the same whichever row or column is chosen.

Worked example — expanding along the first row

For [[5, 2, -2], [3, 4, 0], [-4, 2, 6]], the source expands along row 1.

|A| = 5 × determinant(4, 0; 2, 6) - 2 × determinant(3, 0; -4, 6) + (-2) × determinant(3, 4; -4, 2)Source, Week 12, page 13
= 5(24 - 0) - 2(18 - 0) - 2(6 + 16)= 5(24) - 2(18) - 2(22)= 120 - 36 - 44 = 40Source result, Week 12, page 13

The same matrix, expanded along the first column

The source repeats the calculation down column 1 as a check.

|A| = -3 × determinant(2, -2; 2, 6) + 4 × determinant(5, -2; -4, 6) - 0= -3(12 + 4) + 4(30 - 8)= -3(16) + 4(22)= -48 + 88 = 40Source, Week 12, page 14. The same value
Why this is a good check

Two independent expansions must agree. They use different entries and different minors, so agreement is strong evidence that both are right.

Choose the row or column with the most zeros

In the matrix above the (2,3) entry is zero, so expanding along row 2 or column 3 removes one term entirely. A row of two zeros reduces a 3 × 3 expansion to a single 2 × 2 determinant.

What the determinant decides

The consequences
|A|InverseSystem Ax = bName
Non-zeroExists and is uniqueExactly one solutionNon-singular, invertible
ZeroDoes not existNo solution, or infinitely manySingular

The source records the practical statement as |A| = ad - bc, and if |A| = 0, no solution. Strictly the zero case means no unique solution: the system may still be dependent with infinitely many, which is what the row-reduction methods distinguish.

The inverse formula shows why. A-1 has 1ad - bc as a factor, so a zero determinant makes the whole expression undefined. The source writes the 2 × 2 inverse in cofactor form as

A-1 = 1|A| × matrix(M22, -M12; -M21, M11)Source, Week 12, page 13. The adjoint method, in cofactor notation

Common mistakes

Errors and checks
MistakeCorrectWhy
|A| = ad + bcad - bcThe diagonals subtract
Losing a sign in (7)(-1) - (2)(3)= -13Bracket each product
Omitting the cofactor signsThe checkerboard is essentialThe pattern alternates from + at the top left
Deleting the wrong row or column for a minorDelete the row and column of the entryM22 deletes row 2 and column 2
Expanding along a row with no zerosChoose the row with most zerosEach zero removes a term
Taking a determinant of a non-square matrixOnly square matrices have oneThe definition requires it

Frequently asked questions

What does the determinant tell you?

Whether the matrix is invertible. A non-zero determinant means an inverse exists and the corresponding system has exactly one solution; zero means no inverse and either no solution or infinitely many.

What is a minor?

The determinant of the matrix left after deleting the row and column containing the chosen entry. The source defines it exactly this way.

Where does the cofactor sign come from?

From (-1)i+j, which produces a checkerboard pattern starting with + in the top-left corner. It is easier to picture the pattern than to compute the power each time.

Which row should I expand along?

Whichever has the most zeros. Every zero entry kills a whole minor, so a row with two zeros reduces a 3 × 3 expansion to one term.

Related pages

  • Matrix Inverses and Solving Linear Systems
  • Matrix Multiplication and Matrix Algebra
  • Systems in Three Variables
  • Consistent, Inconsistent and Dependent Systems

Source. Handwritten teaching notes, Week 12, pages 11-14.

This page is an original exposition prepared for the KEVOS® knowledge library. It restates, reorganises and verifies the mathematics of the supplied teaching notes; it is not a reproduction of them. Numerical values taken from the notes are identified as source examples and are not presented as engineering standards.

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