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JEE Mains Maths · Vector Algebra

Dot Product: Angles and Projections

The dot product in components: the angle between two vectors, perpendicular, acute and obtuse conditions, projections and components along and across a vector, and a vector in the plane of two others.

Why this matters

Twenty-seven PYQs. Every one turns a geometric condition — an angle, a projection, lying in a plane — into a dot product, which in components is one line of arithmetic. Three ideas cover the page.

Concept 1 of 3: Angle between two vectors; perpendicular, acute and obtuse

a⃗⋅b⃗=∣a⃗∣∣b⃗∣cos⁡θ\vec a\cdot\vec b=|\vec a||\vec b|\cos\theta, and in components it is a1b1+a2b2+a3b3a_1b_1+a_2b_2+a_3b_3. So the sign of the dot product tells the kind of angle: zero means perpendicular, positive means acute, negative means obtuse. A condition that must hold 'for all tt' makes the dot product a quadratic in tt that keeps one sign, which is a discriminant condition.

Definition

  • cos⁡θ=a⃗⋅b⃗∣a⃗∣∣b⃗∣\cos\theta=\frac{\vec a\cdot\vec b}{|\vec a||\vec b|}.
  • a⃗⊥b⃗\vec a\perp\vec b exactly when a⃗⋅b⃗=0\vec a\cdot\vec b=0.
  • Acute: a⃗⋅b⃗>0\vec a\cdot\vec b>0; obtuse: a⃗⋅b⃗<0\vec a\cdot\vec b<0 (excluding the parallel cases).
  • (a⃗+b⃗)⊥(a⃗−b⃗)(\vec a+\vec b)\perp(\vec a-\vec b) exactly when ∣a⃗∣=∣b⃗∣|\vec a|=|\vec b|.

Angle from components

cos⁡θ=a1b1+a2b2+a3b3∣a⃗∣ ∣b⃗∣\cos\theta=\frac{a_1b_1+a_2b_2+a_3b_3}{|\vec a|\,|\vec b|}

Worked example

Find the angle between (1,2,2)(1,2,2) and (2,−1,2)(2,-1,2).
Practice this conceptself-check · 4 quick reps

The same idea in a real exam question:

JEE Mains · 2024 · 4 April 2024 · Q152Moderate

Example 1 · Vector Algebra · Dot Product: Angles and Projections

If λ>0\lambda > 0, let θ\theta be the angle between the vectors a→=i^+λj^−3k^\overrightarrow{a}=\widehat{i}+ \lambda\widehat{j}- 3\widehat{k} and b→=3i^−j^+2k^\overrightarrow{b}= 3\widehat{i}-\widehat{j}+ 2\widehat{k}. If the vectors a→+b→\overrightarrow{a}+\overrightarrow{b} and a→−b→\overrightarrow{a}-\overrightarrow{b} are mutually perpendicular, then the value of (14cos⁡θ)2(14\cos\theta)^{2} is equal to

A negative dot product includes π

a⃗⋅b⃗<0\vec a\cdot\vec b<0 also holds when the vectors point in opposite directions. If the question wants a strictly obtuse angle, exclude the antiparallel case.

Concept 2 of 3: Projections and components along and across a vector

The scalar projection of a⃗\vec a on b⃗\vec b is a⃗⋅b⃗∣b⃗∣\frac{\vec a\cdot\vec b}{|\vec b|}, the length of a⃗\vec a's shadow along b⃗\vec b, with a sign. The projection vector is that length times the unit vector along b⃗\vec b, that is a⃗⋅b⃗∣b⃗∣2b⃗\frac{\vec a\cdot\vec b}{|\vec b|^2}\vec b. What is left over, a⃗\vec a minus the projection vector, is the component perpendicular to b⃗\vec b. In a triangle, the projection of AB→\overrightarrow{AB} on AC→\overrightarrow{AC} is ∣AB∣cos⁡A|AB|\cos A, with cos⁡A\cos A from the cosine rule.

Definition

  • Scalar projection: a⃗⋅b⃗∣b⃗∣\frac{\vec a\cdot\vec b}{|\vec b|}. Projection vector: a⃗⋅b⃗∣b⃗∣2b⃗\frac{\vec a\cdot\vec b}{|\vec b|^2}\vec b.
  • a⃗=a⃗∥+a⃗⊥\vec a=\vec a_\parallel+\vec a_\perp, and ∣a⃗∣2=∣a⃗∥∣2+∣a⃗⊥∣2|\vec a|^2=|\vec a_\parallel|^2+|\vec a_\perp|^2.
  • A negative projection means the projection vector points opposite b⃗\vec b.

Scalar projection

projb⃗a⃗=a⃗⋅b⃗∣b⃗∣\text{proj}_{\vec b}\vec a=\frac{\vec a\cdot\vec b}{|\vec b|}

Worked example

Find the projection of (2,3,6)(2,3,6) on (1,2,2)(1,2,2).
Practice this conceptself-check · 4 quick reps

The same idea in a real exam question:

JEE Mains · 2021 · Paper 10 · Q62Moderate

Example 2 · Vector Algebra · Dot Product: Angles and Projections

In a triangle ABCABC, if ∣BC→∣=8,∣CA→∣=7|\overrightarrow{BC}| = 8,|\overrightarrow{CA}| = 7, ∣AB→∣=10|\overrightarrow{AB}| = 10, then the projection of the vector AB→\overrightarrow{AB} on AC→\overrightarrow{AC} is equal to:

|b| for the length, |b|² for the vector

The scalar projection divides by ∣b⃗∣|\vec b|; the projection vector divides by ∣b⃗∣2|\vec b|^2 and then multiplies by b⃗\vec b. Mixing them scales the answer by ∣b⃗∣|\vec b|.

Concept 3 of 3: A vector in the plane of two others

A vector in the plane of a⃗\vec a and b⃗\vec b can be written v⃗=xa⃗+yb⃗\vec v=x\vec a+y\vec b. Each further condition — a dot product, a projection, a perpendicularity — is one linear equation in xx and yy, and two of them fix v⃗\vec v. When v⃗\vec v must also be perpendicular to c⃗\vec c, its direction is (a⃗×b⃗)×c⃗(\vec a\times\vec b)\times\vec c, and one more condition fixes the length.

Definition

  • In the plane of a⃗,b⃗\vec a,\vec b: v⃗=xa⃗+yb⃗\vec v=x\vec a+y\vec b.
  • v⃗⋅c⃗=x(a⃗⋅c⃗)+y(b⃗⋅c⃗)\vec v\cdot\vec c=x(\vec a\cdot\vec c)+y(\vec b\cdot\vec c): linear in x,yx,y.
  • In the plane and perpendicular to c⃗\vec c: v⃗∥(a⃗×b⃗)×c⃗\vec v\parallel(\vec a\times\vec b)\times\vec c.

In the plane of a and b

v⃗=x a⃗+y b⃗\vec v=x\,\vec a+y\,\vec b

Worked example

v⃗\vec v lies in the plane of (1,0,1)(1,0,1) and (0,1,1)(0,1,1), with v⃗⋅i^=2\vec v\cdot\hat i=2 and v⃗⋅j^=3\vec v\cdot\hat j=3. Find ∣v⃗∣2|\vec v|^2.
Practice this conceptself-check · 4 quick reps

The same idea in a real exam question:

JEE Mains · 2022 · 26 June 2022 · Q166Moderate

Example 3 · Vector Algebra · Dot Product: Angles and Projections

Let a→=i^+j^+2k^,b→=2i^−3j^+k^\overrightarrow{a}=\widehat{i}+\widehat{j}+ 2\widehat{k},\overrightarrow{b}= 2\widehat{i}- 3\widehat{j}+\widehat{k} and c→=i^−j^+k^\overrightarrow{c}=\widehat{i}-\widehat{j}+\widehat{k} be three given vectors. Let v→\overrightarrow{v} be a vector in the plane of a→\overrightarrow{a} and b→\overrightarrow{b} whose projection on c→\overrightarrow{c} is 23\frac{2}{\sqrt{3}}. If v→⋅j^=7\overrightarrow{v}\cdot\widehat{j}= 7, then v→⋅(i^+k^)\overrightarrow{v}\cdot (\widehat{i}+\widehat{k}) is equal to:

The direction is not the vector

(a⃗×b⃗)×c⃗(\vec a\times\vec b)\times\vec c fixes only the direction. Its length and sign still come from the remaining condition.

Summary — formulas & gotchas at a glance

A revision cheat-sheet for the formulas and gotchas above. Click any concept name to jump back to its full explanation.

Formulas (3)

Watch out for (3)

Test yourself on Vector Algebra

20 past JEE Mains questions from this chapter, timed at 48 minutes and marked the way the exam marks it. You see your score and every answer the moment you finish. Free to start.