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Determinants and Systems of Linear Equations — chapter notes

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1. Determinants, minors and cofactors

  • Order 22: ∣abcd∣=ad−bc\begin{vmatrix} a & b \\ c & d \end{vmatrix} = ad - bc.
  • Minor MijM_{ij}: delete row ii and column jj. Cofactor Aij=(−1)i+jMijA_{ij} = (-1)^{i + j}M_{ij}.
  • Order 33: expand along any row or column, for example ∣A∣=a11A11+a12A12+a13A13|A| = a_{11}A_{11} + a_{12}A_{12} + a_{13}A_{13}; choose the line with most zeros.
  • Elements of one row with the cofactors of another row add up to 00.
Cofactor $A_{ij} = (-1)^{i + j}M_{ij}$.
Column 1Column 2Column 3
Row 1++−-++
Row 2−-++−-
Row 3++−-++
Same value along any row or column.
StepWorking
Choose row 2two zeros, so one term
Cofactor A22A_{22}+∣2−156∣=12+5=17+\begin{vmatrix} 2 & -1 \\ 5 & 6 \end{vmatrix} = 12 + 5 = 17
Value4×17=684 \times 17 = 68
Check (row 1)2(24)−7(0)+(−1)(−20)=682(24) - 7(0) + (-1)(-20) = 68
Matching rows give $|A|$; different rows give $0$.
SumValue for A=[27−10405−36]A = \begin{bmatrix} 2 & 7 & -1 \\ 0 & 4 & 0 \\ 5 & -3 & 6 \end{bmatrix}
Row 1 elements × row 1 cofactors6868
Row 1 elements × row 3 cofactors00
Row 3 elements × row 2 cofactors00

Formulas

  • Cofactor
    Aij=(−1)i+jMijA_{ij} = (-1)^{i + j}M_{ij}

Key terms

Minor

The determinant left after deleting the row and column of an element.

Cofactor

Aij=(−1)i+jMijA_{ij} = (-1)^{i + j}M_{ij}.

2. Properties of determinants

  1. ∣AT∣=∣A∣|A^T| = |A|.
  2. Interchanging two rows (columns) changes the sign.
  3. Two identical or proportional rows (columns): value 00.
  4. A factor common to one row (column) can be taken out; hence ∣kA∣=kn∣A∣|kA| = k^n|A| for order nn.
  5. Ri→Ri+kRjR_i \to R_i + kR_j (or the column version) leaves the value unchanged.
  6. If a row is a sum of two rows, the determinant splits into two determinants.

Strategy: look at row and column sums; make a common factor; create zeros; expand last.

The same rules hold for columns.
PropertyEffect on the value
Rows and columns interchanged (ATA^T)unchanged
Two rows (or columns) interchangedsign changes
Two rows (or columns) identical or proportionalvalue is 00
One row multiplied by kkvalue multiplied by kk
Ri→Ri+kRjR_i \to R_i + kR_junchanged
A row written as a sum of two rowssplits into a sum of two determinants
Each value was computed by full expansion.
Operation on A2A_2 (value 7777)New value
A2TA_2^T7777
R1↔R3R_1 \leftrightarrow R_3−77-77
R2→3R2R_2 \to 3R_2231231
R1→R1+2R3R_1 \to R_1 + 2R_37777
Create a common factor first; expand last.

Formulas

  • Scalar multiple, order n
    ∣kA∣=kn∣A∣|kA| = k^n|A|

Key terms

Elementary operation

Ri→Ri+kRjR_i \to R_i + kR_j: does not change the value.

3. Area of a triangle and collinearity

Area of the triangle with vertices (x1,y1)(x_1, y_1), (x2,y2)(x_2, y_2), (x3,y3)(x_3, y_3):

Δ=12∣∣x1y11x2y21x3y31∣∣\Delta = \dfrac12\left|\begin{vmatrix} x_1 & y_1 & 1 \\ x_2 & y_2 & 1 \\ x_3 & y_3 & 1 \end{vmatrix}\right|.

  • The three points are collinear exactly when the determinant is 00.
  • Line through two points: put (x,y)(x, y) with the two points and set the determinant to 00.
  • When an area is given, solve both D=2ΔD = 2\Delta and D=−2ΔD = -2\Delta.
Area $= \dfrac12|21| = \dfrac{21}{2}$ square units.
  • y=5−2xy = 5 - 2x
Zero area means the three points are collinear.

Formulas

  • Area
    Δ=12∣x1(y2−y3)+x2(y3−y1)+x3(y1−y2)∣\Delta = \tfrac12\left|x_1(y_2 - y_3) + x_2(y_3 - y_1) + x_3(y_1 - y_2)\right|

Key terms

Collinear

Lying on one straight line; the area determinant is zero.

4. Adjoint and inverse

  • adj⁡A\operatorname{adj} A = transpose of the matrix of cofactors. For 2×22 \times 2: adj⁡[abcd]=[d−b−ca]\operatorname{adj}\begin{bmatrix} a & b \\ c & d \end{bmatrix} = \begin{bmatrix} d & -b \\ -c & a \end{bmatrix}.
  • A(adj⁡A)=(adj⁡A)A=∣A∣ IA(\operatorname{adj} A) = (\operatorname{adj} A)A = |A|\,I.
  • AA is singular if ∣A∣=0|A| = 0, non-singular otherwise.
  • A−1=1∣A∣adj⁡AA^{-1} = \dfrac{1}{|A|}\operatorname{adj} A exists exactly when ∣A∣≠0|A| \ne 0, and it is unique.
  • For order 33: ∣adj⁡A∣=∣A∣2|\operatorname{adj} A| = |A|^2 and adj⁡(adj⁡A)=∣A∣ A\operatorname{adj}(\operatorname{adj} A) = |A|\,A.
Do not forget the transpose.
$A(\operatorname{adj} A) = 23I = |A|\,I$.
QuantityValue
AA[3−425]\begin{bmatrix} 3 & -4 \\ 2 & 5 \end{bmatrix}
adj⁡A\operatorname{adj} A[54−23]\begin{bmatrix} 5 & 4 \\ -2 & 3 \end{bmatrix}
∣A∣|A|2323
A(adj⁡A)A(\operatorname{adj} A)[230023]\begin{bmatrix} 23 & 0 \\ 0 & 23 \end{bmatrix}
$|A| = 11$; transpose this table to get $\operatorname{adj} A$.
RowCofactors
Row 166, −2-2, −1-1
Row 2−1-1, 44, 22
Row 3−3-3, 11, 66

Formulas

  • Inverse
    A−1=1∣A∣adj⁡AA^{-1} = \dfrac{1}{|A|}\operatorname{adj} A

Key terms

Adjoint

Transpose of the matrix of cofactors.

Non-singular matrix

A square matrix with non-zero determinant.

5. Properties of the inverse

  • (A−1)−1=A(A^{-1})^{-1} = A.
  • (AB)−1=B−1A−1(AB)^{-1} = B^{-1}A^{-1} (order reverses).
  • (AT)−1=(A−1)T(A^T)^{-1} = (A^{-1})^T.
  • ∣A−1∣=1∣A∣|A^{-1}| = \dfrac{1}{|A|}.
  • adj⁡(AB)=(adj⁡B)(adj⁡A)\operatorname{adj}(AB) = (\operatorname{adj} B)(\operatorname{adj} A).
Each follows from $AA^{-1} = I$.
PropertyNote
(A−1)−1=A(A^{-1})^{-1} = Aundoing the undo
(AB)−1=B−1A−1(AB)^{-1} = B^{-1}A^{-1}order reverses
(AT)−1=(A−1)T(A^T)^{-1} = (A^{-1})^Ttranspose and inverse commute
∣A−1∣=1∣A∣|A^{-1}| = \dfrac{1}{|A|}from ∣A∣ ∣A−1∣=∣I∣=1|A|\,|A^{-1}| = |I| = 1
Learn these four.
ResultFor order nn
A(adj⁡A)=(adj⁡A)A=∣A∣ IA(\operatorname{adj} A) = (\operatorname{adj} A)A = |A|\,Ievery square AA
∣adj⁡A∣=∣A∣n−1|\operatorname{adj} A| = |A|^{n - 1}n=3n = 3: ∣A∣2|A|^2
∣kA∣=kn∣A∣|kA| = k^n|A|n=3n = 3: k3∣A∣k^3|A|
A−1=1∣A∣adj⁡AA^{-1} = \dfrac{1}{|A|}\operatorname{adj} Aonly when ∣A∣≠0|A| \ne 0

Formulas

  • Reversal law
    (AB)−1=B−1A−1(AB)^{-1} = B^{-1}A^{-1}

Key terms

Inverse of a product

(AB)−1=B−1A−1(AB)^{-1} = B^{-1}A^{-1}.

6. Systems of linear equations

Write the system as AX=BAX = B.

  • ∣A∣≠0|A| \ne 0: consistent, unique solution X=A−1BX = A^{-1}B.
  • ∣A∣=0|A| = 0 and (adj⁡A)B≠O(\operatorname{adj} A)B \ne O: inconsistent (no solution).
  • ∣A∣=0|A| = 0 and (adj⁡A)B=O(\operatorname{adj} A)B = O: either infinitely many solutions or none; check the equations.

Matrix method: matrix form, ∣A∣|A|, cofactors, adj⁡A\operatorname{adj} A, A−1A^{-1}, then X=A−1BX = A^{-1}B, then substitute back.

The test ISC expects.
Always substitute back.
EquationLeft side at (1,2,−1)(1, 2, -1)Right side
x+2y+z=4x + 2y + z = 44444
3x−y+2z=−13x - y + 2z = -1−1-1−1-1
2x+y−z=52x + y - z = 55555
Same left side, different right sides.
System∣A∣|A|(adj⁡A)B(\operatorname{adj} A)BConclusion
x+2y=4x + 2y = 4, 2x+4y=32x + 4y = 300[10−5]\begin{bmatrix} 10 \\ -5 \end{bmatrix}no solution
x+2y=4x + 2y = 4, 2x+4y=82x + 4y = 800[00]\begin{bmatrix} 0 \\ 0 \end{bmatrix}infinitely many
x+2y=4x + 2y = 4, 3x−y=53x - y = 5−7-7—unique: (2,1)(2, 1)
  • x+2y=4x + 2y = 4
  • 2x+4y=32x + 4y = 3
Parallel lines: $|A| = 0$ and $(\operatorname{adj} A)B \ne O$.

Formulas

  • Matrix method
    X=A−1BX = A^{-1}B

Key terms

Consistent system

A system with at least one solution.

Inconsistent system

A system with no solution.

Exam tips

How ISC marks are awarded

  • Evaluate (2 marks): expansion and value.
  • Prove using properties (3–5 marks): one mark per named operation; final form.
  • Inverse of a 3×33 \times 3 matrix (3 marks): ∣A∣|A|, adjoint, inverse.
  • Matrix method (5 marks): matrix form, ∣A∣|A|, adjoint, product, answer with a check.
  • Area (2–3 marks): determinant, modulus, units.

Common mistakes

  • Forgetting the chessboard sign of a cofactor.
  • Forgetting to transpose the cofactor matrix.
  • Writing ∣3A∣=3∣A∣|3A| = 3|A| for a 3×33 \times 3 matrix (it is 27∣A∣27|A|).
  • Dropping the modulus in the area formula or one sign when solving for kk.
  • Writing X=BA−1X = BA^{-1} instead of X=A−1BX = A^{-1}B.