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Chapter 4 · Determinants · Go for it

Determinants, the quick way

A determinant is one number made from a square matrix. Learn ten moves and you can answer most questions in this chapter.

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The chapter in one minute

What a determinant is, and what the exam asks.

A determinant is one number worked out from a square matrix. You write it between straight bars, like ∣A∣|A|⁠.

That one number tells you a lot. If ∣A∣≠0|A| \ne 0⁠, the matrix has an inverse, and a system of equations with matrix AA has exactly one solution.

Half a determinant also gives the area of a triangle. Take its size, because an area is never negative.

There are no long proofs here. The marks come from careful arithmetic: the right signs, the right order, and every line written down. Most exam questions on this chapter are one of ten kinds, and each kind has a fixed recipe.

10question types
13formula cards
+ − +the sign pattern behind every cofactor
1check before every inverse: is ∣A∣≠0|A| \ne 0⁠?
Formulas

The formulas you must know

Learn these cards. Every question in the chapter uses them.

A 2×22\times2 determinant
∣abcd∣=ad−bc\begin{vmatrix} a & b \\ c & d \end{vmatrix} = ad - bc

Main diagonal product minus the other diagonal product.

A 3×33\times3 determinant
Δ=a11A11+a12A12+a13A13\begin{aligned} \Delta &= a_{11}A_{11} + a_{12}A_{12} \\ &\quad + a_{13}A_{13} \end{aligned}

Each entry of a row times its cofactor, added. Any row or column gives the same answer.

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

MijM_{ij} is the minor: cover row ii and column jj⁠, and find the determinant that is left. The signs go + − + along row 1, then − + −, then + − +.

Area of a triangle
Δ=12∣x1y11x2y21x3y31∣\Delta = \frac12\begin{vmatrix} x_1 & y_1 & 1 \\ x_2 & y_2 & 1 \\ x_3 & y_3 & 1 \end{vmatrix}

The area is ∣Δ∣|\Delta| square units. Three points on one line give zero.

A number times a matrix
∣kA∣=kn∣A∣|kA| = k^n|A|

nn is the order of AA⁠. For a 3×33\times3 matrix, ∣2A∣=8∣A∣|2A| = 8|A|⁠.

A product
∣AB∣=∣A∣ ∣B∣|AB| = |A|\,|B|

For square matrices of the same order.

Adjoint of a 2×22\times2
adj⁡[abcd]=[d−b−ca]\operatorname{adj}\begin{bmatrix} a & b \\ c & d \end{bmatrix} = \begin{bmatrix} d & -b \\ -c & a \end{bmatrix}

Swap the two diagonal entries, and change the sign of the other two.

Adjoint and ∣A∣|A|
A(adj⁡A)=(adj⁡A)A=∣A∣ I\begin{aligned} &A(\operatorname{adj}A) = (\operatorname{adj}A)A \\ &= |A|\,I \end{aligned}

adj⁡A\operatorname{adj}A is the matrix of cofactors, transposed: the cofactors of row 1 go down column 1.

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

Only when ∣A∣≠0|A| \ne 0⁠. A matrix with determinant 0 has no inverse.

Determinant of the adjoint
∣adj⁡A∣=∣A∣n−1|\operatorname{adj}A| = |A|^{n - 1}

nn is the order. For a 3×33\times3 matrix, ∣adj⁡A∣=∣A∣2|\operatorname{adj}A| = |A|^2⁠.

Determinant of the inverse
∣A−1∣=1∣A∣|A^{-1}| = \frac{1}{|A|}

True for every invertible matrix.

Inverse of a product
(AB)−1=B−1A−1(AB)^{-1} = B^{-1}A^{-1}

For invertible AA and BB of the same order. Reverse the order.

Matrix method
X=A−1BX = A^{-1}B

The one solution of AX=BAX = B when ∣A∣≠0|A| \ne 0⁠.

Question types

The question types and how to crack each one

For each type: how to spot it, what to do, and one real NCERT question worked the exam way.

1. Evaluate a determinant: cross for 2×22\times2⁠, expand for 3×33\times3

Spot it: "evaluate" and a square block of numbers between straight bars.

  1. For a 2×22\times2⁠: main diagonal product minus the other diagonal product.
  2. For a 3×33\times3⁠: choose the row or column with the most zeros.
  3. Take each entry, times its sign, times the 2×22\times2 left when you cover its row and column. The signs are + − + for row 1 or 3 (and column 1 or 3), and − + − for row 2 (and column 2).
  4. Add the three terms.

Example 3. Evaluate

Δ=∣124−130410∣\Delta = \begin{vmatrix} 1 & 2 & 4 \\ -1 & 3 & 0 \\ 4 & 1 & 0 \end{vmatrix}

Expanding along C3C_3⁠, which has two zeros:

Δ=4∣−1341∣−0∣1241∣+0∣12−13∣=4(−1−12)−0+0=4(−13)\begin{aligned} \Delta &= 4\begin{vmatrix} -1 & 3 \\ 4 & 1 \end{vmatrix} - 0\begin{vmatrix} 1 & 2 \\ 4 & 1 \end{vmatrix} \\ &\quad + 0\begin{vmatrix} 1 & 2 \\ -1 & 3 \end{vmatrix} \\ &= 4(-1 - 12) - 0 + 0 \\ &= 4(-13) \end{aligned}

∴ Δ=−52\Delta = -52

In past papers (6): click to see

2. Find xx⁠: two determinants set equal

Spot it: two determinants with an equals sign between them, and xx inside.

  1. Work out each side with the 2×22\times2 rule.
  2. Set the two answers equal and solve for xx⁠.
  3. If you reach x2x^2 equal to a positive number, there are two answers: plus and minus.

Exercise 4.1 Q7 (i). Find xx if

∣2451∣=∣2x46x∣\begin{vmatrix} 2 & 4 \\ 5 & 1 \end{vmatrix} = \begin{vmatrix} 2x & 4 \\ 6 & x \end{vmatrix} ⇒ 2−20=2x2−24⇒ 2x2=6⇒ x2=3\begin{aligned} &\Rightarrow\ 2 - 20 = 2x^2 - 24 \\ &\Rightarrow\ 2x^2 = 6 \\ &\Rightarrow\ x^2 = 3 \end{aligned}

∴ x=±3x = \pm\sqrt3

In past papers (1): click to see

3. Area of a triangle: half a determinant

Spot it: three corners (vertices) of a triangle, and the word "area".

  1. Write each vertex as a row: xx⁠, yy⁠, 1.
  2. Δ\Delta is half of that determinant. Expand it.
  3. The area is ∣Δ∣|\Delta|⁠, in square units. It is never negative.

Example 6. Find the area of the triangle with vertices (3,8)(3, 8)⁠, (−4,2)(-4, 2) and (5,1)(5, 1)⁠.

Δ=12∣381−421511∣\Delta = \frac12\begin{vmatrix} 3 & 8 & 1 \\ -4 & 2 & 1 \\ 5 & 1 & 1 \end{vmatrix}

Expanding along R1R_1⁠:

Δ=12[3(2−1)−8(−4−5)+1(−4−10)]=12(3+72−14)=612\begin{aligned} \Delta &= \frac12\big[3(2 - 1) \\ &\quad - 8(-4 - 5) \\ &\quad + 1(-4 - 10)\big] \\ &= \frac12(3 + 72 - 14) \\ &= \frac{61}{2} \end{aligned}

∴ Area=612\text{Area} = \frac{61}{2} sq. units

4. Area given, or points on one line: use ±\pm or 0

Spot it: the area is given and a vertex has a kk in it; or "collinear"; or "find the equation of the line using determinants".

  1. Area given: set half the determinant equal to plus or minus the area.
  2. Solve both equations. You usually get two values.
  3. Collinear points: show the determinant is 0. The line through two points: use (x,y)(x, y) as the third point and set the determinant equal to 0.

Exercise 4.2 Q3 (i). Find kk if the area of the triangle is 4 sq. units and the vertices are (k,0)(k, 0)⁠, (4,0)(4, 0)⁠, (0,2)(0, 2)⁠.

12∣k01401021∣=±4\frac12\begin{vmatrix} k & 0 & 1 \\ 4 & 0 & 1 \\ 0 & 2 & 1 \end{vmatrix} = \pm 4

Expanding along C2C_2⁠:

12[−2(k−4)]=±4⇒ 4−k=±4\begin{aligned} &\frac12\big[-2(k - 4)\big] = \pm 4 \\ &\Rightarrow\ 4 - k = \pm 4 \end{aligned}

∴ k=0k = 0 or k=8k = 8

In past papers (2): click to see

5. Minors and cofactors: cover, work out, add the sign

Spot it: the words "minor" or "cofactor", or "using cofactors, evaluate".

  1. Minor MijM_{ij}⁠: cover row ii and column jj⁠, and work out the 2×22\times2 that is left.
  2. Cofactor: the minor with its sign from the + − + pattern.
  3. To evaluate with cofactors, multiply each entry of the row by its own cofactor, and add.

Exercise 4.3 Q3. Using cofactors of the second row, evaluate

Δ=∣538201123∣\Delta = \begin{vmatrix} 5 & 3 & 8 \\ 2 & 0 & 1 \\ 1 & 2 & 3 \end{vmatrix} A21=−∣3823∣=−(9−16)=7A22=∣5813∣=15−8=7A23=−∣5312∣=−(10−3)=−7\begin{aligned} A_{21} &= -\begin{vmatrix} 3 & 8 \\ 2 & 3 \end{vmatrix} \\ &= -(9 - 16) = 7 \\ A_{22} &= \begin{vmatrix} 5 & 8 \\ 1 & 3 \end{vmatrix} \\ &= 15 - 8 = 7 \\ A_{23} &= -\begin{vmatrix} 5 & 3 \\ 1 & 2 \end{vmatrix} \\ &= -(10 - 3) = -7 \end{aligned}

Expanding along R2R_2⁠:

Δ=2(7)+0(7)+1(−7)=14+0−7\begin{aligned} \Delta &= 2(7) + 0(7) + 1(-7) \\ &= 14 + 0 - 7 \end{aligned}

∴ Δ=7\Delta = 7

6. Inverse of a matrix: ∣A∣|A|⁠, then the adjoint, then divide

Spot it: "find the inverse" or "find A−1A^{-1}".

  1. Find ∣A∣|A|⁠. If it is 0, there is no inverse. If not, write "∣A∣≠0|A| \ne 0⁠, so A−1A^{-1} exists".
  2. Find every cofactor. For a 3×33\times3 there are nine.
  3. Write adj⁡A\operatorname{adj}A⁠: the cofactors of row 1 go down column 1, and so on.
  4. Divide: A−1=1∣A∣adj⁡AA^{-1} = \frac{1}{|A|}\operatorname{adj}A⁠.

Exercise 4.4 Q5. Find the inverse of

A=[2−243]A = \begin{bmatrix} 2 & -2 \\ 4 & 3 \end{bmatrix} ∣A∣=2(3)−4(−2)=6+8=14\begin{aligned} |A| &= 2(3) - 4(-2) \\ &= 6 + 8 = 14 \end{aligned}

Since ∣A∣≠0|A| \ne 0⁠, A−1A^{-1} exists.

Cofactors: A11=3A_{11} = 3⁠, A12=−4A_{12} = -4⁠, A21=2A_{21} = 2⁠, A22=2A_{22} = 2⁠.

adj⁡A=[32−42]\operatorname{adj}A = \begin{bmatrix} 3 & 2 \\ -4 & 2 \end{bmatrix}

∴ A−1=114[32−42]A^{-1} = \frac{1}{14}\begin{bmatrix} 3 & 2 \\ -4 & 2 \end{bmatrix}

In past papers (4): click to see

7. A matrix equation, then "hence find A−1A^{-1}"

Spot it: "show that A2−5A+7I=OA^2 - 5A + 7I = O" (or a similar equation), then "hence find A−1A^{-1}".

  1. Work out A2A^2⁠, then the left side, entry by entry. Show that you get OO⁠.
  2. Write "∣A∣≠0|A| \ne 0", then multiply the whole equation by A−1A^{-1}⁠: A2A^2 becomes AA⁠, AA becomes II⁠, and II becomes A−1A^{-1}⁠.
  3. Make A−1A^{-1} the subject and work it out.

Exercise 4.4 Q13. Show that A2−5A+7I=OA^2 - 5A + 7I = O⁠, and hence find A−1A^{-1}⁠, for

A=[31−12]A = \begin{bmatrix} 3 & 1 \\ -1 & 2 \end{bmatrix} A2=[85−53]A^2 = \begin{bmatrix} 8 & 5 \\ -5 & 3 \end{bmatrix} A2−5A+7I=[85−53]−[155−510]+[7007]=O\begin{aligned} &A^2 - 5A + 7I \\ &= \begin{bmatrix} 8 & 5 \\ -5 & 3 \end{bmatrix} - \begin{bmatrix} 15 & 5 \\ -5 & 10 \end{bmatrix} \\ &\quad + \begin{bmatrix} 7 & 0 \\ 0 & 7 \end{bmatrix} = O \end{aligned}

As ∣A∣=7≠0|A| = 7 \ne 0⁠, multiply by A−1A^{-1}⁠:

A−5I+7A−1=OA - 5I + 7A^{-1} = O A−1=17(5I−A)A^{-1} = \frac17(5I - A)

∴ A−1=17[2−113]A^{-1} = \frac17\begin{bmatrix} 2 & -1 \\ 1 & 3 \end{bmatrix}

In past papers (2): click to see

8. Consistency: does the system have a solution?

Spot it: "examine the consistency of the system of equations".

  1. Write the system as AX=BAX = B⁠.
  2. If ∣A∣≠0|A| \ne 0⁠, the system is consistent, with exactly one solution.
  3. If ∣A∣=0|A| = 0⁠, find (adj⁡A)B(\operatorname{adj}A)B⁠. If it is not OO⁠, the system is inconsistent: no solution.
  4. If (adj⁡A)B=O(\operatorname{adj}A)B = O too, the system may have infinitely many solutions or none.

Exercise 4.5 Q3. Examine the consistency of

x+3y=52x+6y=8\begin{aligned} x + 3y &= 5 \\ 2x + 6y &= 8 \end{aligned}

This is AX=BAX = B with

A=[1326]B=[58]\begin{aligned} A &= \begin{bmatrix} 1 & 3 \\ 2 & 6 \end{bmatrix} \\ B &= \begin{bmatrix} 5 \\ 8 \end{bmatrix} \end{aligned} ∣A∣=6−6=0|A| = 6 - 6 = 0

So AA is singular, and we find (adj⁡A)B(\operatorname{adj}A)B⁠.

(adj⁡A)B=[6−3−21][58]=[6−2]≠O\begin{aligned} &(\operatorname{adj}A)B \\ &= \begin{bmatrix} 6 & -3 \\ -2 & 1 \end{bmatrix}\begin{bmatrix} 5 \\ 8 \end{bmatrix} \\ &= \begin{bmatrix} 6 \\ -2 \end{bmatrix} \ne O \end{aligned}

∴ The system is inconsistent.

9. Solve equations by the matrix method

Spot it: "solve, using the matrix method", with two or three equations. A word problem (prices, three numbers) is the same: write the equations first.

  1. Write AX=BAX = B⁠, showing AA⁠, XX and BB⁠.
  2. Find ∣A∣|A| and write "∣A∣≠0|A| \ne 0⁠, so there is a unique solution".
  3. Find adj⁡A\operatorname{adj}A and A−1A^{-1}⁠, exactly as in type 6.
  4. Work out X=A−1BX = A^{-1}B and read off xx⁠, yy (and zz⁠).

Exercise 4.5 Q7. Solve by the matrix method

5x+2y=47x+3y=5\begin{aligned} 5x + 2y &= 4 \\ 7x + 3y &= 5 \end{aligned} A=[5273]X=[xy]B=[45]\begin{aligned} A &= \begin{bmatrix} 5 & 2 \\ 7 & 3 \end{bmatrix} \\ X &= \begin{bmatrix} x \\ y \end{bmatrix} \\ B &= \begin{bmatrix} 4 \\ 5 \end{bmatrix} \end{aligned}

∣A∣=15−14=1|A| = 15 - 14 = 1⁠. As ∣A∣≠0|A| \ne 0⁠, the solution is unique.

A−1=1∣A∣adj⁡A=[3−2−75]\begin{aligned} A^{-1} &= \frac{1}{|A|}\operatorname{adj}A \\ &= \begin{bmatrix} 3 & -2 \\ -7 & 5 \end{bmatrix} \end{aligned} X=A−1B=[3−2−75][45]=[12−10−28+25]\begin{aligned} X &= A^{-1}B \\ &= \begin{bmatrix} 3 & -2 \\ -7 & 5 \end{bmatrix}\begin{bmatrix} 4 \\ 5 \end{bmatrix} \\ &= \begin{bmatrix} 12 - 10 \\ -28 + 25 \end{bmatrix} \end{aligned}

∴ x=2x = 2⁠, y=−3y = -3

In past papers (11): click to see

10. One-mark questions on ∣kA∣|kA|⁠, ∣adj⁡A∣|\operatorname{adj}A| and ∣A−1∣|A^{-1}|

Spot it: an MCQ about a matrix you are not given, only its order.

  1. Find the card that fits: ∣kA∣|kA|⁠, ∣AB∣|AB|⁠, ∣adj⁡A∣|\operatorname{adj}A| or ∣A−1∣|A^{-1}|⁠.
  2. Put in the order nn of the matrix.
  3. Choose the option. In an MCQ only the right letter earns the mark.

Exercise 4.4 Q17 (MCQ). AA is a non-singular 3×33\times3 matrix. Then ∣adj⁡A∣|\operatorname{adj}A| is (A) ∣A∣|A| (B) ∣A∣2|A|^2 (C) ∣A∣3|A|^3 (D) 3∣A∣3|A|⁠.

Use the card with n=3n = 3⁠:

∣adj⁡A∣=∣A∣3−1=∣A∣2\begin{aligned} |\operatorname{adj}A| &= |A|^{3 - 1} \\ &= |A|^2 \end{aligned}

Answer: (B) ∣A∣2|A|^2

In past papers (15): click to see
Shortcuts

Shortcuts and quick tips

Small habits that save time and marks.

  • Expand along the row or column with the most zeros. A zero entry needs no working at all.
  • The sign of a cofactor depends only on its place, never on the entry: + − + in row 1, − + − in row 2, + − + in row 3.
  • Put brackets round negative entries before you multiply: 2(−1)−4(−5)=182(-1) - 4(-5) = 18⁠.
  • For a 2×22\times2 inverse, use the shortcut: swap the diagonal, change the sign of the other two, and divide by ∣A∣|A|⁠.
  • Check an inverse: AA−1=IAA^{-1} = I⁠. For a 2×22\times2 it takes a minute.
  • Check a solution: put your xx⁠, yy⁠, zz back into every equation.
  • If the area determinant comes out negative, the area is its size: ∣−15∣=15|-15| = 15⁠.
  • For a 3×33\times3 matrix, ∣3A∣=27∣A∣|3A| = 27|A|⁠, not 3∣A∣3|A|⁠. The number is raised to the power of the order.
  • In an MCQ on ∣kA∣|kA|⁠, ∣adj⁡A∣|\operatorname{adj}A| or ∣A−1∣|A^{-1}|⁠, use the cards. No long working is needed.
  • If the question gives a product AB=IAB = I⁠, then A−1=BA^{-1} = B⁠, with no cofactors. If AB=kIAB = kI with k≠0k \ne 0⁠, then A−1=1kBA^{-1} = \frac1k B⁠.
Watch out

Mistakes that cost marks

Each one is common, and each has an easy fix.

  • Making a determinant positive → ∣A∣|A| is a determinant, not a size, and can be negative. Only the area takes the modulus.
  • Using the minor as the cofactor → add the sign: A12=−M12A_{12} = -M_{12}⁠.
  • Forgetting to transpose the cofactors → in adj⁡A\operatorname{adj}A⁠, the cofactors of row 1 go down column 1.
  • Writing ∣2A∣=2∣A∣|2A| = 2|A| for a 3×33\times3 matrix → it is ∣2A∣=8∣A∣|2A| = 8|A|⁠.
  • Using only plus when the area is given → use ±\pm⁠, or you may lose a value of kk⁠.
  • Finding A−1A^{-1} without looking at ∣A∣|A| → first write "∣A∣≠0|A| \ne 0⁠, so A−1A^{-1} exists". It carries half a mark.
  • Writing X=BA−1X = BA^{-1} → the order matters: X=A−1BX = A^{-1}B⁠.
  • Saying "∣A∣=0|A| = 0⁠, so no solution" → first find (adj⁡A)B(\operatorname{adj}A)B⁠. If it is not OO⁠, there is no solution. If it is OO⁠, there may be infinitely many solutions or none.
Marks

How the examiner gives marks

From CBSE's own marking schemes. Write these lines and the marks follow.

  • Matrix method (a 5-mark question in CBSE sample papers): writing the system as AX=BAX = B⁠, with AA⁠, XX and BB shown, earns marks.
  • Finding ∣A∣|A| is half a mark. The line "∣A∣≠0|A| \ne 0⁠, so A−1A^{-1} exists" is another half mark.
  • The adjoint carries the most: one scheme gives it one and a half marks. Work out every cofactor with its sign.
  • Then A−1A^{-1}⁠, the line X=A−1BX = A^{-1}B⁠, the product and the values of xx⁠, yy⁠, zz each earn their own part. The final answer is worth up to 1 mark.
  • Write conclusions in words, such as "so the system has a unique solution". End an area with "sq. units".
  • A slip is penalised only once, so keep going. An MCQ earns 1 mark for the right option only.
Practice

Practise these first

Easiest first. Together they cover every type above.

  1. Exercise 4.1 Q8 (MCQ) two equal determinants give x2=36x^2 = 36
  2. Exercise 4.1 Q5 four 3×33\times3 determinants: expand along the zeros
  3. Exercise 4.2 Q1 areas of three triangles
  4. Exercise 4.2 Q4 the equation of a line: area 0
  5. Exercise 4.3 Q2 minors and cofactors of a 3×33\times3
  6. Exercise 4.4 Q18 (MCQ) the determinant of an inverse
  7. Example 15 a matrix equation gives A−1A^{-1}
  8. Exercise 4.4 Q10 a 3×33\times3 inverse: nine cofactors
  9. Exercise 4.5 Q5 consistency when ∣A∣=0|A| = 0
  10. Exercise 4.5 Q12 three equations by the matrix method
  11. Example 19 a given product gives A−1A^{-1}⁠, then solve
  12. Exercise 4.5 Q16 a word problem: prices by the matrix method
Next

You can do this

Ten moves, one at a time. Work through the practice list, check every sign, and you are ready for the exam.

Past papers

34 CBSE board and sample-paper questions on Determinants, each with a full-marks exam answer. Practise them →