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Determinants: questions with answers

Class 12 Maths, Chapter 4 (NCERT). 15 questions by concept. Open “Show answer” for the answer and why.

How to teach this chapter · Common misconceptions & worked visual for this chapter

Collinear points and the line through two points, by determinant

Question 1

Find kk so that (k,0)(k, 0), (1,5)(1, 5) and (3,4)(3, 4) are collinear.

  1. (a)0
  2. (b)11
  3. (c)-11
  4. (d)12
Show answer

(b) 11

Collinearity means the determinant is zero, so k−11=0k - 11 = 0 and k=11k = 11. Setting it to 11 instead -- as though the condition compared the determinant with one rather than with zero -- gives k=12k = 12, which puts the three points a hair off the line.

Reading a zero determinant off the shape of the array

Question 2

AA is a skew-symmetric matrix of order 44. What can be said about ∣A∣|A|?

  1. (a)∣A∣|A| need not be zero
  2. (b)∣A∣=1|A| = 1
  3. (c)∣A∣|A| is always negative
  4. (d)∣A∣=0|A| = 0, whatever the order
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(a) ∣A∣|A| need not be zero

From A′=−AA' = -A we get ∣A∣=(−1)4∣A∣|A| = (-1)^4|A|. The order is even, so this reads ∣A∣=∣A∣|A| = |A| and forces nothing. So the rule depends entirely on the order being odd or even -- it is not a blanket property of skew-symmetric matrices.

Rules the inverse obeys: products, scalars, sums and determinants

Question 3

Line 1: (kA)(1kA−1)(kA)\left(\dfrac{1}{k}A^{-1}\right)

Which line comes next?

  1. (a)=(k⋅k)(AA−1)= (k \cdot k)(AA^{-1})
  2. (b)=k(AA−1)= k(AA^{-1})
  3. (c)=1k(AA−1)= \dfrac{1}{k}(AA^{-1})
  4. (d)=(k⋅1k)(AA−1)= \left(k \cdot \dfrac{1}{k}\right)(AA^{-1})
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(d) =(k⋅1k)(AA−1)= \left(k \cdot \dfrac{1}{k}\right)(AA^{-1})

Scalars move freely through a matrix product, so the two of them collect together and the two matrices collect together: (k⋅1k)(AA−1)\left(k \cdot \dfrac{1}{k}\right)(AA^{-1}), which is 1×I1 \times I. Collecting the scalars as k⋅kk \cdot k instead would leave k2k^2, and the product would not be II at all.

Singular or not: when $A^{-1}$ exists and how the adjoint gives it

Question 4

For a non-singular square matrix AA, which formula gives A−1A^{-1}?

  1. (a)A−1=1∣A∣AA^{-1} = \dfrac{1}{|A|}A
  2. (b)A−1=1∣A∣adj AA^{-1} = \dfrac{1}{|A|}\text{adj }A
  3. (c)A−1=adj AA^{-1} = \text{adj }A
  4. (d)A−1=∣A∣ adj AA^{-1} = |A|\,\text{adj }A
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(b) A−1=1∣A∣adj AA^{-1} = \dfrac{1}{|A|}\text{adj }A

A−1=1∣A∣adj AA^{-1} = \dfrac{1}{|A|}\text{adj }A. It comes straight from A(adj A)=∣A∣IA(\text{adj }A) = |A|I by dividing both sides by ∣A∣|A|, which is exactly the step that needs ∣A∣≠0|A| \neq 0. Multiplying instead would give A(∣A∣adj A)=∣A∣2IA(|A|\text{adj }A) = |A|^2 I, which is true but is not an inverse.

What a determinant is, and the rule for a $2 \times 2$

Question 5

For ∣3724∣\begin{vmatrix} 3 & 7 \\ 2 & 4 \end{vmatrix} a student writes ∣A∣=2|A| = 2, saying that the bars make the value positive. Is that right?

  1. (a)Yes -- a determinant can never be negative
  2. (b)No -- ∣A∣=14|A| = 14
  3. (c)No -- ∣A∣=12|A| = 12
  4. (d)No -- ∣A∣=−2|A| = -2, and the bars do not make it positive
Show answer

(d) No -- ∣A∣=−2|A| = -2, and the bars do not make it positive

The bars are determinant notation, not absolute value: the chapter says ∣A∣|A| is read as determinant of AA and not modulus of AA. Here the leading diagonal gives 12 and the other 14, so ∣A∣=−2|A| = -2 -- negative, and correctly so. The student's 2 is that value with its sign thrown away.

Expanding a $3 \times 3$ determinant along a row or a column

Question 6

A determinant of order three is expanded once along R1R_1 and once along C3C_3. How do the two values compare?

  1. (a)They differ in sign but not in size
  2. (b)They differ, because each line has its own value
  3. (c)They are equal; every one of the six expansions gives the same value
  4. (d)They are equal only when both are rows
Show answer

(c) They are equal; every one of the six expansions gives the same value

Expanding along any row or column gives the same value -- the chapter works three expansions in full and shows they agree, which is why it can say that expanding along any row or column gives the same value. The arithmetic on the way looks completely different, and that is the only thing that changes.

What scaling a matrix and multiplying matrices do to the determinant

Question 7

A=[3123]A = \begin{bmatrix} 3 & 1 \\ 2 & 3 \end{bmatrix}, and BB is an invertible matrix of the same order with ∣B∣=3|B| = 3. Find ∣B−1A′B∣|B^{-1}A'B|.

  1. (a)-7
  2. (b)21
  3. (c)7
  4. (d)73\dfrac{7}{3}
Show answer

(c) 7

Transposing changes nothing, so ∣A′∣=∣A∣|A'| = |A|; then ∣B−1∣=1∣B∣|B^{-1}| = \dfrac{1}{|B|} makes the two factors of ∣B∣|B| cancel, and what is left is ∣A∣=7|A| = 7. Neither operation touches the sign, and the value of ∣B∣|B| never enters the answer at all.

Finding an unknown when a determinant is given a value

Question 8

For what value of xx is A=[x+1331]A = \begin{bmatrix} x + 1 & 3 \\ 3 & 1 \end{bmatrix} singular?

  1. (a)9
  2. (b)8
  3. (c)0
  4. (d)-8
Show answer

(b) 8

Expanding gives ∣A∣=x−8|A| = x - 8. Singular means ∣A∣=0|A| = 0, so x=8x = 8. Solving ∣A∣=1|A| = 1 instead -- reading 'singular' as 'determinant one' -- gives x=9x = 9, exactly one too large.

The area of a triangle as a determinant

Question 9

For a certain triangle the determinant ∣001041601∣\begin{vmatrix} 0 & 0 & 1 \\ 0 & 4 & 1 \\ 6 & 0 & 1 \end{vmatrix} comes out as -24. What is the area?

  1. (a)12 square units
  2. (b)-24 square units
  3. (c)-12 square units
  4. (d)00 square units
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(a) 12 square units

Area is a magnitude, so the formula takes the modulus: the area is 12 square units. A negative answer is not a smaller area, nor an area measured in some other direction; it is not an area at all.

A row against its own cofactors, and against another row's

Question 10

Δ=∣132415263∣\Delta = \begin{vmatrix} 1 & 3 & 2 \\ 4 & 1 & 5 \\ 2 & 6 & 3 \end{vmatrix}. A student expands along the first row.

Line 1: Δ=a11M11+a12M12+a13M13\Delta = a_{11}M_{11} + a_{12}M_{12} + a_{13}M_{13}

Line 2: =(1)(−27)+(3)(2)+(2)(22)= (1)(-27) + (3)(2) + (2)(22)

Line 3: =23= 23

Where does the working first go wrong?

  1. (a)The working is correct throughout
  2. (b)Line 3
  3. (c)Line 1
  4. (d)Line 2
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(c) Line 1

An expansion pairs each element with its cofactor, and the middle position here is an odd one, so A12=−2A_{12} = -2 while M12=2M_{12} = 2. Line 1 already writes minors where cofactors belong, and Line 2 substitutes them faithfully. The determinant is 11, not 23.

Minors and cofactors of the elements of a determinant

Question 11

Δ=∣302154216∣\Delta = \begin{vmatrix} 3 & 0 & 2 \\ 1 & 5 & 4 \\ 2 & 1 & 6 \end{vmatrix}. A student finds M23M_{23}.

Line 1: Delete row 33 and column 22.

Line 2: M23=∣3214∣M_{23} = \begin{vmatrix} 3 & 2 \\ 1 & 4 \end{vmatrix}

Line 3: =10= 10

Where does the working first go wrong?

  1. (a)Line 1
  2. (b)Line 3
  3. (c)Line 2
  4. (d)The working is correct throughout
Show answer

(a) Line 1

The subscripts are read in the order row-then-column, so M23M_{23} deletes row 22 and column 33 and comes to 3. Line 1 already names the deletion the wrong way round, and Line 2 follows it faithfully. Reading the subscripts the other way round is the single commonest way to lose a minor.

The adjoint of a matrix and the identity $A(\text{adj }A) = |A|I$

Question 12

A=[1432]A = \begin{bmatrix} 1 & 4 \\ 3 & 2 \end{bmatrix}. A student writes down the adjoint.

Line 1: Interchange the off-diagonal entries.

Line 2: Change the signs of the diagonal entries.

Line 3: adj A=[−134−2]\text{adj }A = \begin{bmatrix} -1 & 3 \\ 4 & -2 \end{bmatrix}

Where does the working first go wrong?

  1. (a)Line 3
  2. (b)The working is correct throughout
  3. (c)Line 2
  4. (d)Line 1
Show answer

(d) Line 1

It is the diagonal pair that is interchanged and the off-diagonal pair that changes sign. Line 1 interchanges the off-diagonal pair, which is the pair that should only change sign. The adjoint is [2−4−31]\begin{bmatrix} 2 & -4 \\ -3 & 1 \end{bmatrix}.

Getting $A^{-1}$ out of an equation that $A$ satisfies

Question 13

AA satisfies A2−5A+7I=OA^2 - 5A + 7I = O. A student finds A−1A^{-1}.

Line 1: A2−5A+7I=OA^2 - 5A + 7I = O

Line 2: A−5+7A=OA - 5 + \dfrac{7}{A} = O

Line 3: 7A=−A+5\dfrac{7}{A} = -A + 5

Where does the working first go wrong?

  1. (a)Line 2
  2. (b)The working is correct throughout
  3. (c)Line 3
  4. (d)Line 1
Show answer

(a) Line 2

There is no such thing as dividing by a matrix. Line 2 puts AA underneath, which is already the illegal step; Line 3 only carries it along. Every step here has to be a multiplication by A−1A^{-1}, applied to each term on the same side.

Deciding whether a system is consistent

Question 14

What does it mean to say that a system of linear equations is consistent?

  1. (a)That its coefficient matrix has determinant zero
  2. (b)That it has at least one solution
  3. (c)That it has exactly one solution
  4. (d)That its constants are not all zero
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(b) That it has at least one solution

It means a solution exists -- one or more. Infinitely many solutions is a consistent system, not an inconsistent one; the word says nothing about how many. Nor does it say anything about the constants: a system whose constants are all zero is consistent, because x=y=0x = y = 0 always solves it.

Solving a system of equations by the matrix method

Question 15

The system 4x+y=64x + y = 6 and x+3y=5x + 3y = 5 is written as AX=BAX = B.

Line 1: AX=BAX = B

Line 2: (AX)A−1=BA−1(AX)A^{-1} = BA^{-1}

Line 3: X=BA−1X = BA^{-1}

Where does the working first go wrong?

  1. (a)Line 3
  2. (b)Line 2
  3. (c)Line 1
  4. (d)The working is correct throughout
Show answer

(b) Line 2

AA stands to the left of XX, so only a left multiplication cancels it. Line 2 multiplies on the right, and Line 3 simply reports what that produced. BA−1BA^{-1} is not merely the wrong answer -- with BB of order 2×12 \times 1 and A−1A^{-1} of order 2×22 \times 2, that product does not exist.

Common misconception in Determinants

Open full misconception guide →

What happens to the determinant when every entry doubles?

Wrong

Doubling every entry doubles the determinant.

Why it feels right. The determinant scales when one row is multiplied, and I apply that once to the whole matrix.

Right

Scaling an n × n matrix by k scales each of its n rows and multiplies the determinant by kⁿ.

Worked example

Identity
10
01
det = 1
Every entry ×2
20
02
det = 4
Doubling both rows doubles each factor in the diagonal product. The determinant becomes four times as large.
  1. The 2 × 2 identity has determinant 1.
  2. The diagonal entries become 2 and 2 after scaling, so the new determinant is 4.