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Vector Algebra: questions with answers

Class 12 Maths, Chapter 10 (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

Multiplying a vector by a scalar: the magnitude of lambda a, collinear vectors and collinear points

Question 1

a⃗\vec a and b⃗\vec b are non-collinear, and 2a⃗+3b⃗2\vec a + 3\vec b is collinear with 4a⃗+xb⃗4\vec a + x\vec b. To find xx, a student writes:

Line 1: two collinear vectors are scalar multiples of each other

Line 2: since a⃗\vec a and b⃗\vec b are non-collinear, the coefficients of b⃗\vec b must agree: x=3x = 3

Line 3: check: the coefficients of a⃗\vec a are 22 and 44

Where does the working first go wrong?

  1. (a)Nothing is wrong
  2. (b)Line 2
  3. (c)Line 3
  4. (d)Line 1
Show answer

(b) Line 2

Line 1 is correct. Line 2 is the first wrong line: the vectors are equal only up to a scalar, 4a⃗+xb⃗=λ(2a⃗+3b⃗)4\vec a + x\vec b = \lambda(2\vec a + 3\vec b), so 4=λ24 = \lambda2 and x=λ3=6x = \lambda3 = 6. Line 3's check would have exposed the missing λ\lambda.

Question 2

With ∣a⃗∣=2|\vec a| = 2 and λ∈[−4,3]\lambda \in [-4, 3], a student writes:

Line 1: ∣λa⃗∣=2∣λ∣|\lambda\vec a| = 2|\lambda|

Line 2: the extreme values occur at the end points λ=−4\lambda = -4 and λ=3\lambda = 3

Line 3: so ∣λa⃗∣|\lambda\vec a| ranges over [6,8][6, 8]

Where does the working first go wrong?

  1. (a)Line 2
  2. (b)Line 3
  3. (c)Line 1
  4. (d)Nothing is wrong
Show answer

(a) Line 2

Line 1 is correct. Line 2 is the first wrong line: ∣λ∣|\lambda| is smallest at λ=0\lambda = 0, which lies INSIDE [−4,3][-4, 3], so the least value of ∣λa⃗∣|\lambda\vec a| is 00, not an end-point value. The range is [0,8][0, 8]. Line 3 follows from the wrong Line 2.

Component form, the magnitude of a vector and the vector joining two points

Question 3

Let a⃗=4i^+2j^\vec a = 4\hat i + 2\hat j and b⃗=2i^+4j^\vec b = 2\hat i + 4\hat j. Which statement is correct?

  1. (a)∣a⃗∣≠∣b⃗∣|\vec a| \neq |\vec b|
  2. (b)a⃗=b⃗\vec a = \vec b, since ∣a⃗∣=∣b⃗∣|\vec a| = |\vec b|
  3. (c)a⃗=−b⃗\vec a = -\vec b
  4. (d)∣a⃗∣=∣b⃗∣|\vec a| = |\vec b| but a⃗≠b⃗\vec a \neq \vec b
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(d) ∣a⃗∣=∣b⃗∣|\vec a| = |\vec b| but a⃗≠b⃗\vec a \neq \vec b

∣a⃗∣=42+22=∣b⃗∣|\vec a| = \sqrt{ 4^2 + 2^2 } = |\vec b|, so the magnitudes are equal. But equal vectors need equal corresponding components, and 4≠24 \neq 2, so a⃗≠b⃗\vec a \neq \vec b: they point in different directions. Equal magnitudes never by themselves make two vectors equal.

Question 4

For the triangle with vertices A(2,1,1)A(2, 1, 1), B(1,3,2)B(1, 3, 2), C(3,3,2)C(3, 3, 2), a student writes:

Line 1: AB→=−i^+2j^+k^\overrightarrow{AB} = -\hat i + 2\hat j + \hat k, BC→=2i^\overrightarrow{BC} = 2\hat i

Line 2: ∣AB→∣=∣BC→∣=6|\overrightarrow{AB}| = |\overrightarrow{BC}| = \sqrt6

Line 3: so AB→=BC→\overrightarrow{AB} = \overrightarrow{BC}

Line 4: so the triangle is isosceles

Where does the working first go wrong?

  1. (a)Line 1
  2. (b)Line 3
  3. (c)Line 2
  4. (d)Nothing is wrong
Show answer

(b) Line 3

Lines 1 and 2 are correct. Line 3 is the first wrong line: equal magnitudes do not make equal vectors -- AB→\overrightarrow{AB} and BC→\overrightarrow{BC} have different components and different directions. Line 4 happens to be true, but it follows from Line 2, not from Line 3.

The vector product in components (the determinant) and a unit vector perpendicular to two given vectors

Question 5

How many unit vectors are perpendicular to both of two given non-parallel vectors a⃗\vec a and b⃗\vec b?

  1. (a)none
  2. (b)two
  3. (c)one
  4. (d)infinitely many
Show answer

(b) two

All vectors perpendicular to both a⃗\vec a and b⃗\vec b lie along the line of a⃗×b⃗\vec a \times \vec b, and that line carries exactly two unit vectors, ±a⃗×b⃗∣a⃗×b⃗∣\pm\dfrac{\vec a \times \vec b}{|\vec a \times \vec b|}, pointing opposite ways. Two, not one, and not infinitely many.

Unit vectors, direction cosines and ratios, and a vector of a given magnitude along a direction

Question 6

A vector of magnitude 55 units, equally inclined to the three coordinate axes and making acute angles with them, is

  1. (a)53(i^+j^+k^)\dfrac{ 5 }{\sqrt3}\left(\hat i + \hat j + \hat k\right)
  2. (b)53(i^+j^+k^)\dfrac{ 5 }{3}\left(\hat i + \hat j + \hat k\right)
  3. (c)5(i^+j^+k^)5\left(\hat i + \hat j + \hat k\right)
  4. (d)13(i^+j^+k^)\dfrac{1}{\sqrt3}\left(\hat i + \hat j + \hat k\right)
Show answer

(a) 53(i^+j^+k^)\dfrac{ 5 }{\sqrt3}\left(\hat i + \hat j + \hat k\right)

Equal inclination means l=m=nl = m = n, and l2+m2+n2=1l^2 + m^2 + n^2 = 1 gives 3l2=13l^2 = 1, l=13l = \dfrac{1}{\sqrt3} (positive for acute angles). So the unit vector is 13(i^+j^+k^)\dfrac{1}{\sqrt3}(\hat i + \hat j + \hat k) and the required vector is 53(i^+j^+k^)\dfrac{ 5 }{\sqrt3}(\hat i + \hat j + \hat k). l=13l = \dfrac13 would make the cosines add to 11 instead of their squares, and 5(i^+j^+k^)5(\hat i + \hat j + \hat k) has magnitude 535\sqrt3.

The section formula: internal and external division, midpoints and points on a produced segment

Question 7

A point PP divides the line segment ABAB internally in the ratio 2:32 : 3. Which statement is correct?

  1. (a)PP is the midpoint of ABAB
  2. (b)AP:PB=2:3AP : PB = 2 : 3, so PP is nearer to AA
  3. (c)AP=23ABAP = \dfrac{2}{3}AB
  4. (d)AP:PB=3:2AP : PB = 3 : 2, so PP is nearer to BB
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(b) AP:PB=2:3AP : PB = 2 : 3, so PP is nearer to AA

The ratio m:nm : n is AP:PBAP : PB, read from the first-named end: AP:PB=2:3AP : PB = 2 : 3, so APAP is the shorter part and PP is nearer to AA. Reading the ratio the other way round places PP on the wrong side of the midpoint.

Magnitudes and angles from dot-product identities: expanding |a + b|^2, (a + b).(a - b) and three vectors summing to zero

Question 8

∣a⃗∣=7|\vec a| = 7 and (a⃗+b⃗)⋅(a⃗−b⃗)=−15(\vec a + \vec b)\cdot(\vec a - \vec b) = -15. To find ∣b⃗∣|\vec b|, a student writes:

Line 1: (a⃗+b⃗)⋅(a⃗−b⃗)=a⃗⋅a⃗−a⃗⋅b⃗+b⃗⋅a⃗−b⃗⋅b⃗(\vec a + \vec b)\cdot(\vec a - \vec b) = \vec a\cdot\vec a - \vec a\cdot\vec b + \vec b\cdot\vec a - \vec b\cdot\vec b

Line 2: =∣a⃗∣2−2a⃗⋅b⃗−∣b⃗∣2= |\vec a|^2 - 2\vec a\cdot\vec b - |\vec b|^2

Line 3: so ∣b⃗∣|\vec b| cannot be found without a⃗⋅b⃗\vec a\cdot\vec b

Where does the working first go wrong?

  1. (a)Line 3
  2. (b)Nothing is wrong
  3. (c)Line 2
  4. (d)Line 1
Show answer

(c) Line 2

Line 1 is correct. Line 2 is the first wrong line: b⃗⋅a⃗=a⃗⋅b⃗\vec b\cdot\vec a = \vec a\cdot\vec b, so −a⃗⋅b⃗+b⃗⋅a⃗=0-\vec a\cdot\vec b + \vec b\cdot\vec a = 0 and the product is ∣a⃗∣2−∣b⃗∣2|\vec a|^2 - |\vec b|^2. Then ∣b⃗∣2=72−(−15)|\vec b|^2 = 7^2 - (-15) and ∣b⃗∣=8|\vec b| = 8. Line 3 follows from the wrong Line 2.

Perpendicular vectors: the zero dot product test and solving for an unknown from a dot-product condition

Question 9

If a⃗≠0⃗\vec a \neq \vec 0 and a⃗⋅b⃗=a⃗⋅c⃗\vec a\cdot\vec b = \vec a\cdot\vec c, then

  1. (a)a⃗⊥b⃗\vec a \perp \vec b and a⃗⊥c⃗\vec a \perp \vec c
  2. (b)b⃗=c⃗\vec b = \vec c
  3. (c)either b⃗=c⃗\vec b = \vec c or a⃗⊥(b⃗−c⃗)\vec a \perp (\vec b - \vec c)
  4. (d)b⃗=c⃗\vec b = \vec c or a⃗=0⃗\vec a = \vec 0
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(c) either b⃗=c⃗\vec b = \vec c or a⃗⊥(b⃗−c⃗)\vec a \perp (\vec b - \vec c)

a⃗⋅b⃗=a⃗⋅c⃗\vec a\cdot\vec b = \vec a\cdot\vec c gives a⃗⋅(b⃗−c⃗)=0\vec a\cdot(\vec b - \vec c) = 0, which means b⃗−c⃗=0⃗\vec b - \vec c = \vec 0 OR a⃗⊥(b⃗−c⃗)\vec a \perp (\vec b - \vec c). The dot product has no cancellation law: i^⋅j^=i^⋅k^=0\hat i\cdot\hat j = \hat i\cdot\hat k = 0 with j^≠k^\hat j \neq \hat k.

Scalars and vectors; zero, unit, coinitial, collinear, equal and negative vectors

Question 10

If a⃗\vec a and b⃗\vec b are two collinear vectors, which of the following is correct?

  1. (a)b⃗=λa⃗\vec b = \lambda\vec a for some scalar λ\lambda
  2. (b)the respective components of a⃗\vec a and b⃗\vec b are not proportional
  3. (c)b⃗=λa⃗\vec b = \lambda\vec a only for some scalar λ>0\lambda > 0
  4. (d)a⃗=±b⃗\vec a = \pm\vec b
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(a) b⃗=λa⃗\vec b = \lambda\vec a for some scalar λ\lambda

Collinear vectors are parallel to one line, so b⃗=λa⃗\vec b = \lambda\vec a for some scalar λ\lambda -- of either sign and any size. a⃗=±b⃗\vec a = \pm\vec b would force equal magnitudes; the components of collinear vectors ARE proportional; and they may have opposite directions, so a positive λ\lambda cannot be required.

The scalar (dot) product: definition, component formula, the angle between two vectors and its bounds

Question 11

If a^\hat a and b^\hat b are unit vectors, which of the following is always true?

  1. (a)a^⋅b^=1\hat a\cdot\hat b = 1
  2. (b)∣a^⋅b^∣≤1|\hat a\cdot\hat b| \leq 1
  3. (c)a^⋅b^≥0\hat a\cdot\hat b \geq 0
  4. (d)a^⋅b^\hat a\cdot\hat b can be any real number
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(b) ∣a^⋅b^∣≤1|\hat a\cdot\hat b| \leq 1

a^⋅b^=∣a^∣∣b^∣cos⁡θ=cos⁡θ\hat a\cdot\hat b = |\hat a||\hat b|\cos\theta = \cos\theta, and −1≤cos⁡θ≤1-1 \leq \cos\theta \leq 1, so ∣a^⋅b^∣≤1|\hat a\cdot\hat b| \leq 1 always. It equals 11 only when the vectors coincide, can be negative for an obtuse angle, and can never exceed 11 in size.

The vector (cross) product: definition, right-hand rule, non-commutativity, unit-vector products and the Lagrange identity

Question 12

Assertion (A): a⃗×b⃗=−(b⃗×a⃗)\vec a \times \vec b = -(\vec b \times \vec a) for all vectors a⃗,b⃗\vec a, \vec b.

Reason (R): The vector product is commutative.

Which of the following is correct?

  1. (a)Assertion (A) is false, but Reason (R) is true
  2. (b)Both (A) and (R) are true, but (R) is not the correct explanation of (A)
  3. (c)Both (A) and (R) are true and (R) is the correct explanation of (A)
  4. (d)Assertion (A) is true, but Reason (R) is false
Show answer

(d) Assertion (A) is true, but Reason (R) is false

A is true: reversing the order reverses the direction given by the right-hand rule (i^×j^=k^\hat i \times \hat j = \hat k but j^×i^=−k^\hat j \times \hat i = -\hat k). R is false: the vector product is anti-commutative, not commutative. So A is true and R is false.

Projection of a vector on another: the scalar formula, the projection vector and projections along a line or an axis

Question 13

The projection of a⃗=αi^+3j^+3k^\vec a = \alpha\hat i + 3\hat j + 3\hat k on b⃗=i^+2j^+2k^\vec b = \hat i + 2\hat j + 2\hat k is 22. The value of α\alpha is

  1. (a)-6
  2. (b)-10
  3. (c)6
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(a) -6

The scalar projection of a⃗\vec a on b⃗\vec b is a⃗⋅b⃗∣b⃗∣=α+123\dfrac{\vec a\cdot\vec b}{|\vec b|} = \dfrac{\alpha + 12}{3}, since ∣b⃗∣=3|\vec b| = 3. Setting this equal to 22: α+12=6\alpha + 12 = 6, so α=−6\alpha = -6. Dividing by ∣b⃗∣2=9|\vec b|^2 = 9 gives the coefficient of the projection VECTOR, not the scalar projection.

Areas of triangles and parallelograms from the vector product: sides, diagonals and vertices

Question 14

If d⃗1\vec d_1 and d⃗2\vec d_2 are the diagonals of a parallelogram, its area is

  1. (a)∣d⃗1×d⃗2∣|\vec d_1 \times \vec d_2|
  2. (b)∣d⃗1⋅d⃗2∣|\vec d_1\cdot\vec d_2|
  3. (c)12∣d⃗1×d⃗2∣\tfrac12|\vec d_1 \times \vec d_2|
  4. (d)12∣d⃗1∣∣d⃗2∣\tfrac12|\vec d_1||\vec d_2|
Show answer

(c) 12∣d⃗1×d⃗2∣\tfrac12|\vec d_1 \times \vec d_2|

Writing the diagonals as a⃗+b⃗\vec a + \vec b and a⃗−b⃗\vec a - \vec b in terms of the adjacent sides, d⃗1×d⃗2=(a⃗+b⃗)×(a⃗−b⃗)=−2 a⃗×b⃗\vec d_1 \times \vec d_2 = (\vec a + \vec b) \times (\vec a - \vec b) = -2\,\vec a \times \vec b, so the area ∣a⃗×b⃗∣=12∣d⃗1×d⃗2∣|\vec a \times \vec b| = \tfrac12|\vec d_1 \times \vec d_2|. Without the half one gets twice the area; ∣d⃗1∣∣d⃗2∣|\vec d_1||\vec d_2| ignores the angle, and the dot product is not an area.

The triangle and parallelogram laws: sums of sides, medians, diagonals and resultants

Question 15

In triangle ABCABC, AB→=(2,1)\overrightarrow{AB} = (2, 1) and AC→=(4,−1)\overrightarrow{AC} = (4, -1). To find BC→\overrightarrow{BC}, a student writes:

Line 1: BB, CC and AA are the vertices of one triangle

Line 2: the third side is the sum of the other two: BC→=AB→+AC→\overrightarrow{BC} = \overrightarrow{AB} + \overrightarrow{AC}

Line 3: so BC→=(6,0)\overrightarrow{BC} = (6, 0)

Where does the working first go wrong?

  1. (a)Line 3
  2. (b)Line 2
  3. (c)Line 1
  4. (d)Nothing is wrong
Show answer

(b) Line 2

Line 1 is true. Line 2 is the first wrong line: the triangle law reads AB→+BC→=AC→\overrightarrow{AB} + \overrightarrow{BC} = \overrightarrow{AC} -- head to tail -- so BC→=AC→−AB→=(2,−2)\overrightarrow{BC} = \overrightarrow{AC} - \overrightarrow{AB} = (2, -2). Two vectors both starting at AA add to a diagonal, not to a side. Line 3 evaluates the wrong Line 2 correctly.

Common misconception in Vector Algebra

Open full misconception guide →

Does a zero dot product mean a vector is zero?

Wrong

If two vectors have dot product 0, at least one has length 0.

Why it feels right. A zero product of two ordinary numbers has that property.

Right

The dot product depends on direction as well as length.

Worked example

Each unit vector is nonzero. Their perpendicular directions make the dot product zero.
  1. The unit vectors (1,0) and (0,1) have dot product 1×0 + 0×1 = 0.
  2. Both have length 1 and they meet at 90°.