Exam Prep12 min read

JEE Vector Algebra: 30 Practice Questions with Solutions

By the QUFF Team

Almost every vector question comes down to a single choice: dot product or cross product. The dot product answers questions about angles, projections and perpendicularity and returns a number. The cross product answers questions about areas, normals and parallelism and returns a vector. Make that choice correctly and the arithmetic is a few lines; make it wrongly and the question becomes unsolvable. These thirty questions are grouped by that decision.

A stack of study books topped with a graduation cap beside an atom and a geometry compass, representing exam preparation

Why the choice of product decides everything

Consider two questions about the same pair of vectors. What is the angle between them? What is the area of the parallelogram they span? The first needs a·b = |a||b|cos θ; the second needs |a × b| = |a||b|sin θ. Both involve the same two vectors and the same angle, yet the operations are different and so are the answer types - one a number, one a length derived from a vector.

Once you read the question for what it is asking about - angle or area, perpendicular or parallel, scalar or vector - the operation is determined and the rest is arithmetic. That reading is the chapter's real skill, and it transfers straight into 3D Geometry, where lines and planes are described in exactly these terms.

How JEE actually asks Vector Algebra

NTA does not publish chapter-wise weightage, so figures online are coaching estimates from past papers; check the official NTA information bulletin for your session's syllabus and pattern.

Vector Algebra is asked closely with 3D Geometry, and many questions in that chapter are vector questions in different notation. Within this chapter, the recurring types are computing angles and projections, finding areas of triangles and parallelograms, testing coplanarity with the scalar triple product, and applying the vector triple product expansion.

Key concepts, compressed

  • A vector has magnitude and direction; its magnitude is found by Pythagoras from its components.
  • A unit vector is the vector divided by its own magnitude, giving direction without size.
  • The dot product is a scalar equal to |a||b|cos θ, computed componentwise as the sum of products.
  • The cross product is a vector of magnitude |a||b|sin θ, perpendicular to both, with direction from the right-hand rule.
  • The scalar triple product a·(b × c) equals the volume of the parallelepiped formed by the three vectors.
  • The vector triple product expands as a × (b × c) = (a·c)b − (a·b)c, and is not associative.

Results you need before attempting the questions

Questions 7 and 9 refer to a = i + 2j + 3k, b = 4i + 5j + 6k and c = 2i − j.
QuantityFormulaNote
Magnitude|a| = √(a₁² + a₂² + a₃²)
Unit vectorâ = a/|a|
Dot producta·b = a₁b₁ + a₂b₂ + a₃b₃ = |a||b|cos θscalar
Cross product magnitude|a × b| = |a||b|sin θvector result
Perpendiculara·b = 0
Parallela × b = 0
Angle between vectorscos θ = (a·b)/(|a||b|)
Projection of a on b(a·b)/|b|a scalar
a·a|a|²
Area of a parallelogram|a × b|
Area of a triangle½|a × b|
Scalar triple product[a b c] = a·(b × c)volume
Coplanar[a b c] = 0
Vector triple producta × (b × c) = (a·c)b − (a·b)cnot associative

The five mistakes that cost the most marks

  • Testing for parallel with the dot product. Parallel means the cross product vanishes; a zero dot product means perpendicular.
  • Treating the cross product as commutative. Reversing the order reverses the direction, which matters for normals and oriented areas.
  • Confusing the projection with the component vector. The projection (a·b)/|b| is a scalar; multiplying by the unit vector along b gives the vector.
  • Assuming the vector triple product is associative. a × (b × c) is not (a × b) × c, and the expansion must be applied in the right order.
  • Forgetting the factor of one half for a triangle. The cross product magnitude gives the parallelogram area; a triangle is half of it.

Practice set 1: vector basics

1. Find the magnitude of a = 3i + 4j.

5. The magnitude is √(3² + 4²) = √25 = 5. In three dimensions the same Pythagorean sum extends to all three components. This is identical to the modulus of the complex number 3 + 4i, which is why the geometric intuition transfers between the two chapters.

2. Find the unit vector in the direction of 3i + 4j.

(3i + 4j)/5, that is 0.6i + 0.8j. Divide the vector by its magnitude. Check: 0.6² + 0.8² = 0.36 + 0.64 = 1, confirming it is a unit vector. Any direction question ultimately reduces to producing a unit vector this way.

3. How are vectors added?

Componentwise, which corresponds geometrically to the triangle or parallelogram law. Adding (1, 2, 3) and (4, 5, 6) gives (5, 7, 9). Vector addition is commutative and associative, unlike the cross product - a contrast worth keeping explicit.

4. If A and B have position vectors a and b, what is the vector AB?

b − a, pointing from A to B. The order matters: BA would be a − b, the same length in the opposite direction. Getting this the wrong way round reverses every subsequent direction in the problem, so it is worth writing out explicitly.

5. When are two vectors collinear?

When one is a scalar multiple of the other, equivalently when their cross product is zero. Collinear vectors are parallel or anti-parallel, and the scalar may be negative. Note that collinearity of vectors is about direction, not about lying on the same line in space.

6. What is the zero vector, and what is special about it?

The vector with all components zero, of magnitude zero and no defined direction. It is the additive identity, and it is the result whenever a vector is crossed with itself or with any parallel vector. Its lack of direction is why 'the angle with the zero vector' is undefined.

Practice set 2: the dot product

7. Compute a·b for a = i + 2j + 3k and b = 4i + 5j + 6k.

32. Multiply corresponding components and add: (1)(4) + (2)(5) + (3)(6) = 4 + 10 + 18 = 32. The result is a scalar, not a vector - producing a vector here is a sign that the cross product was used by mistake.

8. What is the geometric meaning of the dot product?

a·b = |a||b|cos θ, so it measures how much the two vectors point in the same direction. It is positive for acute angles, zero at right angles, and negative for obtuse ones. That sign alone answers many questions about whether an angle is acute or obtuse.

9. Are a = i + 2j + 3k and c = 2i − j perpendicular?

Yes. Their dot product is (1)(2) + (2)(−1) + (3)(0) = 2 − 2 + 0 = 0, and a zero dot product between non-zero vectors means the angle is 90°. Note the third component of c is zero, which must still be included in the sum.

10. How do you find the angle between two vectors?

cos θ = (a·b)/(|a||b|), then take the inverse cosine. The result lies between 0 and 180°, since that is the range of arccos - vectors do not have negative angles between them. A negative dot product simply means the angle exceeds 90°.

11. What is the projection of a on b?

(a·b)/|b|, which is a scalar - the signed length of the shadow a casts along b. To obtain the vector projection, multiply this by the unit vector b/|b|, giving (a·b)b/|b|². Questions specify which is wanted, and confusing the two is a common error.

12. What is a·a?

|a|², the square of the magnitude. It follows from a·a = |a||a|cos 0 = |a|². This identity is why |a + b|² expands as |a|² + 2a·b + |b|², which is the vector version of the binomial expansion and appears in many proofs.

13. Is the dot product commutative?

Yes: a·b = b·a, since multiplication of the components is commutative and cos θ does not depend on order. This is a genuine contrast with the cross product, which reverses sign when the order is swapped - and questions pair the two to test whether you know which is which.

14. How is the dot product used in physics?

Work done is F·d, the force dotted with the displacement, which extracts the component of force along the motion. This is why a force perpendicular to displacement does no work - the dot product vanishes. The same reasoning explains why magnetic forces and centripetal forces do no work.

Practice set 3: the cross product

15. What is the magnitude of the cross product?

|a × b| = |a||b|sin θ. Unlike the dot product, it is largest when the vectors are perpendicular and zero when they are parallel - exactly the opposite behaviour. Geometrically it equals the area of the parallelogram the two vectors span.

16. Compute i × j.

k. The cross products of the unit vectors cycle: i × j = k, j × k = i, and k × i = j. Reversing any of them introduces a minus sign, so j × i = −k. Memorising the forward cycle and the anti-commutativity rule covers every case.

17. Is the cross product commutative?

No, it is anti-commutative: a × b = −(b × a). The magnitudes are equal but the directions are opposite, since the right-hand rule reverses when the order does. This matters whenever the answer is a normal direction or an oriented area rather than just a size.

18. How do you test whether two vectors are parallel?

Their cross product is the zero vector, equivalently one is a scalar multiple of the other. Using the dot product for this is the standard error - a zero dot product means perpendicular, which is the opposite condition.

19. What is the area of the parallelogram formed by two vectors?

|a × b|, the magnitude of their cross product. The base is |a| and the perpendicular height is |b|sin θ, so the product is exactly |a||b|sin θ. This is the geometric content of the cross product's magnitude.

20. What is the area of the triangle formed by two vectors?

½|a × b|, half the parallelogram. A triangle with the two vectors as adjacent sides is exactly half the parallelogram they span. If the triangle is given by three position vectors instead, form two edge vectors by subtraction first, then apply the formula.

21. What is a × a?

The zero vector. A vector is parallel to itself, so sin θ = 0 and the cross product vanishes. This is consistent with anti-commutativity: a × a = −(a × a) forces it to be zero, which is the same argument that makes a determinant with two identical rows zero.

22. What direction does a × b point in?

Perpendicular to both a and b, in the sense given by the right-hand rule - curl the fingers from a toward b and the thumb gives the direction. This is why the cross product supplies normal vectors to planes, which is how it enters the 3D Geometry chapter.

Practice set 4: triple products

23. What is the scalar triple product and how is it written?

[a b c] = a·(b × c), a scalar formed by crossing two vectors and dotting with the third. It can be computed as the determinant whose rows are the three vectors' components, which is usually the fastest route and connects this chapter directly to Determinants.

24. What does the scalar triple product represent geometrically?

The volume of the parallelepiped with the three vectors as adjacent edges - strictly, its absolute value, since the sign indicates orientation. The base area is |b × c| and the height is the projection of a onto the normal, so dotting them gives base times height.

25. What is the condition for three vectors to be coplanar?

[a b c] = 0. If the three vectors lie in one plane, the parallelepiped they span has zero height and therefore zero volume. This is the standard coplanarity test, and it is equivalent to the determinant of their components vanishing.

26. Compute [i j k].

1. Here [i j k] = i·(j × k) = i·i = 1. This is the volume of the unit cube, which is exactly what the three unit vectors span. It also confirms the sign convention: a right-handed set gives a positive triple product.

27. Expand the vector triple product a × (b × c).

(a·c)b − (a·b)c. A useful mnemonic is that the result lies in the plane of b and c, with the middle vector b carrying the positive sign. Note that (a × b) × c expands differently, as (a·c)b − (b·c)a, which is why the bracketing cannot be moved.

Practice set 5: applications and traps

28. Is the cross product associative?

No. In general a × (b × c) is not equal to (a × b) × c, as their expansions in question 27 show. Take a = b = i and c = j: the first gives i × (i × j) = i × k = −j, while the second gives (i × i) × j = 0 × j = 0. The bracketing is therefore essential.

29. State the section formula in vector form.

The point dividing AB internally in the ratio m:n has position vector (mb + na)/(m + n). Note the cross-pairing - the ratio m attaches to b, the far point. For external division the signs become (mb − na)/(m − n), and mixing the two is the usual error.

30. What are direction cosines and what do they satisfy?

The cosines of the angles a vector makes with the three coordinate axes, which are exactly the components of the corresponding unit vector. They satisfy l² + m² + n² = 1, since a unit vector has magnitude one. Direction ratios are any triple proportional to them, and normalising direction ratios produces direction cosines.

How to study this chapter efficiently

  • Before computing, decide what the question is about: angle or area, perpendicular or parallel. That determines the product.
  • Write the result type you expect - scalar or vector. A vector answer to an angle question means the wrong product was used.
  • Learn the unit-vector cycle i × j = k, j × k = i, k × i = j, and that reversing any of them introduces a minus sign.
  • Compute the scalar triple product as a determinant. It is faster than crossing and then dotting.
  • Remember the factor of one half for triangles, and that three position vectors must first be converted into two edge vectors.
  • Study this chapter immediately before 3D Geometry - lines and planes there are described entirely in these terms.

Turn this into active practice

The dot-versus-cross decision is fast to state and easy to fumble under pressure, especially in questions that mention both an angle and an area. It only becomes automatic against mixed questions where nothing signals which is wanted.

The JEE Vector Algebra quiz on QUFF generates fresh questions across magnitudes, dot and cross products, areas, triple products and coplanarity, marks them instantly and explains each answer. Do a mixed set and record, for each error, whether you chose the wrong product or executed the right one badly.

The bottom line

Now go test yourself

The questions worth rechecking are 9, 11, 18, 25 and 28 - the perpendicularity test, projection as a scalar, testing parallel with the cross product, the coplanarity condition, and the failure of associativity. Those five cover the decisions the chapter tests.

For final revision, take two concrete vectors and compute everything: dot product, cross product, angle, projection, parallelogram area and triangle area. Doing all six on one pair fixes which operation answers which question far better than reading the formula table again.

FAQs

Frequently asked questions

When do I use the dot product and when the cross product?

Use the dot product for angles, projections, work and testing perpendicularity - it returns a scalar. Use the cross product for areas, normals, torque and testing parallelism - it returns a vector perpendicular to both inputs. The type of answer you need usually identifies the operation.

How do I test whether two vectors are perpendicular or parallel?

Perpendicular means the dot product is zero; parallel means the cross product is the zero vector. Swapping these tests is one of the most common errors in the chapter, and the two conditions are exact opposites in terms of the angle involved.

What does the scalar triple product represent?

The volume of the parallelepiped formed by the three vectors, up to sign. If it is zero the volume is zero, meaning the three vectors lie in a single plane - which is exactly the coplanarity test. It can be computed as the determinant of their components.

Is the cross product associative?

No. a × (b × c) and (a × b) × c expand differently and generally give different vectors - with a = b = i and c = j they give −j and the zero vector respectively. Brackets in a vector triple product cannot be moved.

What is the difference between projection and component?

The projection of a on b is the scalar (a·b)/|b| - the signed length of the shadow. The vector component is that scalar multiplied by the unit vector along b. Questions specify which they want, and answering with the wrong type loses the mark even when the arithmetic is right.

What is the weightage of Vector Algebra in JEE Main?

NTA publishes no chapter-wise weightage, so figures online are estimates from past papers. Vector Algebra is closely tied to 3D Geometry, and preparing them together roughly halves the work since many 3D questions are vector questions in different notation.

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