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JEE Mains Maths · Vector Algebra

Magnitudes and Unit-Vector Identities

Working with vectors known only by their lengths and the angles between them: expanding the square of a sum, and handling combinations of unit vectors that include their cross product.

Why this matters

Twenty-four PYQs, and none gives a single component. Everything is lengths, angles and dot products, so the only tool is squaring: |v|² = v · v, expanded term by term. Two ideas cover the page.

Concept 1 of 2: Expanding the square of a sum

A length is found through its square: ∣a⃗+b⃗∣2=(a⃗+b⃗)⋅(a⃗+b⃗)=∣a⃗∣2+2a⃗⋅b⃗+∣b⃗∣2|\vec a+\vec b|^2=(\vec a+\vec b)\cdot(\vec a+\vec b)=|\vec a|^2+2\vec a\cdot\vec b+|\vec b|^2. Any condition on lengths of combinations becomes, after squaring, an equation in ∣a⃗∣|\vec a|, ∣b⃗∣|\vec b| and a⃗⋅b⃗\vec a\cdot\vec b. For a sum of three vectors, the cross terms are the three pairwise dot products. For a maximum of p∣u⃗∣+q∣v⃗∣p|\vec u|+q|\vec v| when ∣u⃗∣2+∣v⃗∣2|\vec u|^2+|\vec v|^2 is fixed, Cauchy–Schwarz gives p2+q2∣u⃗∣2+∣v⃗∣2\sqrt{p^2+q^2}\sqrt{|\vec u|^2+|\vec v|^2}.

Definition

  • ∣a⃗±b⃗∣2=∣a⃗∣2+∣b⃗∣2±2 a⃗⋅b⃗|\vec a\pm\vec b|^2=|\vec a|^2+|\vec b|^2\pm2\,\vec a\cdot\vec b.
  • ∣a⃗+b⃗∣2+∣a⃗−b⃗∣2=2(∣a⃗∣2+∣b⃗∣2)|\vec a+\vec b|^2+|\vec a-\vec b|^2=2(|\vec a|^2+|\vec b|^2).
  • ∣a⃗+b⃗+c⃗∣2=∣a⃗∣2+∣b⃗∣2+∣c⃗∣2+2(a⃗⋅b⃗+b⃗⋅c⃗+c⃗⋅a⃗)|\vec a+\vec b+\vec c|^2=|\vec a|^2+|\vec b|^2+|\vec c|^2+2(\vec a\cdot\vec b+\vec b\cdot\vec c+\vec c\cdot\vec a).
  • ∣a⃗+b⃗∣=∣a⃗−b⃗∣|\vec a+\vec b|=|\vec a-\vec b| exactly when a⃗⊥b⃗\vec a\perp\vec b.

Square of a sum

∣a⃗+b⃗∣2=∣a⃗∣2+2 a⃗⋅b⃗+∣b⃗∣2|\vec a+\vec b|^2=|\vec a|^2+2\,\vec a\cdot\vec b+|\vec b|^2

Worked example

∣a⃗∣=3|\vec a|=3, ∣b⃗∣=4|\vec b|=4, a⃗⋅b⃗=6\vec a\cdot\vec b=6. Find ∣a⃗−b⃗∣2|\vec a-\vec b|^2.
Practice this conceptself-check · 4 quick reps

The same idea in a real exam question:

JEE Mains · 2021 · Paper 22 · Q66Moderate

Example 1 · Vector Algebra · Magnitudes and Unit-Vector Identities

Let a→\overrightarrow{a} and b→\overrightarrow{b} be two vectors such that ∣2a→+3b→∣=∣3a→+b→∣|2\overrightarrow{a}+ 3\overrightarrow{b}| = |3\overrightarrow{a}+\overrightarrow{b}| and the angle between a→\overrightarrow{a} and b→\overrightarrow{b} is 60∘60^{\circ}. If 18a→\frac{1}{8}\overrightarrow{a} is a unit vector, then ∣b→∣|\overrightarrow{b}| is equal to:

Square before you add

∣a⃗+b⃗∣|\vec a+\vec b| is ∣a⃗∣+∣b⃗∣|\vec a|+|\vec b| only when the vectors point the same way. Always square, expand, and take the root at the end.

Concept 2 of 2: Combinations with a cross-product term

a⃗×b⃗\vec a\times\vec b is perpendicular to both a⃗\vec a and b⃗\vec b, and for unit vectors its length is sin⁡θ\sin\theta. So in a combination λa⃗+μb⃗+ν(a⃗×b⃗)\lambda\vec a+\mu\vec b+\nu(\vec a\times\vec b), dotting with a⃗\vec a or b⃗\vec b kills the cross term, and the square of its length splits into the in-plane part plus ν2sin⁡2θ\nu^2\sin^2\theta.

Definition

  • (a⃗×b⃗)⋅a⃗=(a⃗×b⃗)⋅b⃗=0(\vec a\times\vec b)\cdot\vec a=(\vec a\times\vec b)\cdot\vec b=0.
  • Unit a⃗,b⃗\vec a,\vec b: ∣a⃗×b⃗∣=sin⁡θ|\vec a\times\vec b|=\sin\theta, a⃗⋅b⃗=cos⁡θ\vec a\cdot\vec b=\cos\theta.
  • ∣λa⃗+μb⃗+ν(a⃗×b⃗)∣2=λ2+μ2+2λμcos⁡θ+ν2sin⁡2θ|\lambda\vec a+\mu\vec b+\nu(\vec a\times\vec b)|^2=\lambda^2+\mu^2+2\lambda\mu\cos\theta+\nu^2\sin^2\theta.

Length with a cross term (unit vectors)

∣λa⃗+μb⃗+ν(a⃗×b⃗)∣2=λ2+μ2+2λμcos⁡θ+ν2sin⁡2θ|\lambda\vec a+\mu\vec b+\nu(\vec a\times\vec b)|^2=\lambda^2+\mu^2+2\lambda\mu\cos\theta+\nu^2\sin^2\theta

Worked example

Unit vectors a⃗,b⃗\vec a,\vec b are at 60∘60^\circ, and c⃗=a⃗+b⃗+(a⃗×b⃗)\vec c=\vec a+\vec b+(\vec a\times\vec b). Find ∣c⃗∣2|\vec c|^2.
Practice this conceptself-check · 4 quick reps

The same idea in a real exam question:

JEE Mains · 2021 · Paper 10 · Q73Moderate

Example 2 · Vector Algebra · Magnitudes and Unit-Vector Identities

Let a→\overrightarrow{a} and b→\overrightarrow{b} be two non-zero vectors perpendicular to each other and ∣a→∣=∣b→∣|\overrightarrow{a}| = |\overrightarrow{b}|. If ∣a→×b→∣=∣a→∣|\overrightarrow{a}\times\overrightarrow{b}| = |\overrightarrow{a}|, then the angle between the vectors (a→+b→+(a→×b→))(\overrightarrow{a}+\overrightarrow{b}+ (\overrightarrow{a}\times\overrightarrow{b})) and a→\overrightarrow{a} is equal to:

Only for unit vectors

∣a⃗×b⃗∣=sin⁡θ|\vec a\times\vec b|=\sin\theta needs ∣a⃗∣=∣b⃗∣=1|\vec a|=|\vec b|=1. In general it is ∣a⃗∣∣b⃗∣sin⁡θ|\vec a||\vec b|\sin\theta.

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 (2)

  • Expanding the square of a sum

    Square of a sum

    ∣a⃗+b⃗∣2=∣a⃗∣2+2 a⃗⋅b⃗+∣b⃗∣2|\vec a+\vec b|^2=|\vec a|^2+2\,\vec a\cdot\vec b+|\vec b|^2
  • Combinations with a cross-product term

    Length with a cross term (unit vectors)

    ∣λa⃗+μb⃗+ν(a⃗×b⃗)∣2=λ2+μ2+2λμcos⁡θ+ν2sin⁡2θ|\lambda\vec a+\mu\vec b+\nu(\vec a\times\vec b)|^2=\lambda^2+\mu^2+2\lambda\mu\cos\theta+\nu^2\sin^2\theta

Watch out for (2)

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.