Ch.10 · Scalar Multiplication
05 / Scalar Multiplication

Multiplication of Vector
by a Scalar

Scaling vectors, changing direction, unit vector derivation — all applications of multiplying a vector by a scalar.

CBSE BoardJEE Mains & Adv.
Definition

When a vector a is multiplied by a real number (scalar) λ, the result λa is a new vector whose:

Magnitude

= |λ| × |a|
(absolute value of scalar × original magnitude)

Direction

Same as a if λ > 0
Opposite to a if λ < 0
Zero vector if λ = 0

Scalar Multiplication — Component Form If a = a₁î + a₂ĵ + a₃k̂ and λ is a scalar:
λa = λa₁î + λa₂ĵ + λa₃k̂

Magnitude: a| = |λ| · |a|
✏️ Example

a = 2î − 3ĵ + k̂, λ = −4

λa = −4(2î − 3ĵ + k̂) = −8î + 12ĵ − 4k̂

|a| = √(4+9+1) = √14

a| = |−4|·√14 = 4√14

Visual — Effect of Scalar Multiplication
a⃗ 2a⃗ (×2 magnitude) −a⃗ (reversed) Same length as a⃗ Twice the length Same length, flipped
Properties of Scalar Multiplication
All Properties Let a, b be vectors and λ, μ be scalars:

1. λ(a + b) = λa + λb (distributive over vector sum)
2. (λ + μ)a = λa + μa (distributive over scalar sum)
3. λ(μa) = (λμ)a (associativity with scalar product)
4. 1 · a = a (multiplicative identity)
5. (−1) · a = −a (negative vector)
6. 0 · a = 0 (zero scalar gives zero vector)
📌 Board Exam Note

Boards ask you to prove the distributive law geometrically. Show that both sides give the same resultant using the triangle or parallelogram law.

Unit Vector from Scalar Multiplication

The unit vector â is simply a multiplied by the scalar 1/|a|:

Unit Vector via Scalar Multiplication â = (1/|a|) · a = a/|a|

Conversely: a = |a| · â
(any vector = its magnitude × its unit vector)
✏️ Example

a = 3î + 4ĵ − 0k̂

|a| = 5

â = (1/5)(3î + 4ĵ) = (3/5)î + (4/5)ĵ

Verify: a = 5 · [(3/5)î + (4/5)ĵ] = 3î + 4ĵ ✓

Linear Combination of Vectors

A linear combination of vectors a, b, c is an expression of the form λa + μb + νc where λ, μ, ν are scalars.

Linear Combination r = λa + μb means r is in the plane of a and b

r = λa + μb + νc — any vector in 3D space

Standard basis: r = xî + yĵ + zk̂ (linear combo of î, ĵ, k̂)
🎯 JEE Application

Linear combinations are used to express unknown vectors in terms of known ones. If three non-coplanar vectors span 3D space, any vector can be uniquely written as their linear combination. This underpins the entire coordinate system.

Collinearity Test Using Scalar Multiplication

Since scalar multiplication scales a vector along its direction, collinear vectors are precisely scalar multiples:

Collinearity Condition a = λb for some λ ∈ ℝ, λ ≠ 0

λ > 0: same direction | λ < 0: opposite direction
✏️ Board-Style Problem

Find λ if vectors a = 2î + λĵ − k̂ and b = 4î − 2ĵ + 2k̂ are collinear.

For collinearity: a₁/b₁ = a₂/b₂ = a₃/b₃

2/4 = λ/(−2) = (−1)/2

1/2 = λ/(−2) → λ = −1

Coplanarity of Vectors

Three vectors a, b, c are coplanar if one can be expressed as a linear combination of the other two:

Coplanarity Condition c = λa + μb for some scalars λ, μ

Equivalent: scalar triple product = 0
[a b c] = a · (b × c) = 0
🎯 JEE High Value

Coplanarity is tested using the scalar triple product (box product). If [ a b c ] = 0, the vectors are coplanar. This is a major formula in JEE 3D geometry and vector problems.