NDA Maths · Vectors
Foundations: Vectors, Operations, and Position
What a vector is, how to add and scale them, the standard î-ĵ-k̂ basis that turns vectors into numbers, and how anchoring at an origin turns geometry into algebra.
Why this matters
Start here. The rest of the chapter — magnitude, dot product, cross product, vector geometry — is built on the eight ideas below. The first six are pure FOUNDATIONS (what a vector is, addition, scalar multiplication, components, types of vectors); the last two are the chapter's first geometric payoff — a collinearity test and the section formula for dividing a segment. The PYQ bank has 6 questions tagged on this subtopic (collinearity + section, three of them HARD) — but you can't drill those without the foundations underneath them. Read top-to-bottom.
Concept 1 of 8
What is a vector? (Scalars vs vectors)
Intuition
Definition
A scalar is a real number — magnitude only. A vector is an entity with both magnitude (a non-negative real number) and direction (a way of pointing in space). Two vectors are equal if and only if they have the same magnitude AND the same direction — equality is independent of where the arrow is drawn on the page. We write vectors with an over-arrow, like , or in bold, like ; their magnitude is written .
Worked example
- (a) Mass — a single positive number (grams). Direction is meaningless. Scalar.
- (b) Velocity — specifies both how fast AND in which direction. Vector.
- (c) Temperature — a single number (degrees). No direction. Scalar.
- (d) Electric current — a magnitude (amperes) with only a sign convention for flow along the wire, not a spatial direction. Scalar. (Current density IS a vector — but plain current is treated as scalar in school physics.)
- (e) Force — specified by both how strong and in what direction it pushes. Vector.
- (f) Displacement — \"5 km north-east\" needs both magnitude and direction. Vector.
An arrow drawn anywhere on the page represents the same vector
Concept 2 of 8
Position vectors and displacement vectors
Intuition
Definition
Fix an origin . The position vector of a point (often written ) is the vector from to ; its magnitude is the distance , its direction is from towards . The displacement vector from to is (head minus tail). Its magnitude is the distance from to .
Position vector → displacement
- position vectors of from the chosen origin
- displacement vector from to — head minus tail
Diagram · position vectors & displacement
From the origin O, the position vectors a and b locate points A and B. The displacement from A to B is AB = b − a — move it anywhere and shift the origin: the difference, and so AB, is unchanged.
Worked example
- (i) Head minus tail: .
- (ii) Reverse the direction by negating: . Equivalently .
- (iii) Distance = magnitude: .
Practice this concept4 quick reps
Practice — Level 1 (4 reps)
Quick reps to lock in the method. Try each, then check.
- 1., . Find .
- 2.For the same points, find the distance .
- 3., . Find .
- 4.Find for , .
Head minus tail — , not
Position vectors depend on the choice of origin; displacement vectors do NOT
Concept 3 of 8
Addition of vectors (triangle, parallelogram, polygon laws)
Intuition
Definition
- Triangle law: place so its tail starts where 's head ends; then is the arrow from 's tail to 's head.
- Parallelogram law (equivalent): if and share a tail, is the diagonal of the parallelogram on from that shared tail.
- Polygon law (generalisation): the sum of any number of vectors placed tip-to-tail is the arrow from the very first tail to the very last head.
- Properties: addition is commutative (), associative, has identity , and inverse .
Vector addition properties
- tip-to-tail sum (a vector, not a number)
- zero vector — the additive identity
- same length as , opposite direction
Visualization · add two vectors tip-to-tail
The dashed amber arrow is b moved to the head of a — the resultant (indigo) runs from the shared tail to that head, which is also the diagonal of the parallelogram. Notice |a + b| equals |a| + |b| only when a and b point the same way.
Worked example
- Total displacement = sum of the two displacement vectors (tip-to-tail): .
- Add componentwise: .
- Distance from start = magnitude of the resultant: .
Practice this concept4 quick reps
Practice — Level 1 (4 reps)
Quick reps to lock in the method. Try each, then check.
- 1., . Find .
- 2., . Find .
- 3.Find for , .
- 4., , same direction. Find .
Closed-polygon identity: if vectors form a closed loop, they sum to
Magnitudes don't add: in general
Concept 4 of 8
Scalar multiplication
Intuition
Definition
For a scalar and a vector , the product is the vector with magnitude and direction the same as when , opposite when , and when . It is distributive over both vector and scalar addition: and . It is also associative with ordinary multiplication: .
Scalar multiplication
- a real number (positive, negative, or zero)
- absolute value of (gives the magnitude-scaling factor)
- sign of controls whether the direction is preserved or flipped
Visualization · slide k, scale the vector
Multiplying by k scales the length by |k| and keeps the same line. k > 1 stretches, 0 < k < 1 shrinks, k < 0 flips to the opposite direction, and k = 0 collapses it to the zero vector.
Worked example
- Scale each component: ; .
- Original magnitude: .
- Check .
- Check .
Practice this concept4 quick reps
Practice — Level 1 (4 reps)
Quick reps to lock in the method. Try each, then check.
- 1.. Find .
- 2.. Find .
- 3.If , find .
- 4.If , find .
Sign of controls DIRECTION, not just signs of components
Concept 5 of 8
Component form: the î, ĵ, k̂ basis
Intuition
Definition
The standard basis of 3-D space is , , — unit-length, mutually perpendicular, along the positive axes. Any vector has a unique decomposition ; the triple is its component form. For 2-D vectors just drop the term. Componentwise rules: (equality) iff for every ; (addition) ; (scalar mult) .
Component form
- standard basis — unit vectors along positive axes
- components of — uniquely determined by the basis choice
Diagram · component form (drag to rotate)
Step along x (2.4 î), then y ( 1.6 ĵ), then z ( 2.0 k̂) to reach the tip: v = 2.4 î + 1.6 ĵ + 2.0 k̂. Any vector is the sum of its axis components, and |v| = √(x² + y² + z²).
Worked example
- Apply scalar multiplication componentwise: and .
- Subtract componentwise: .
- Simplify: .
Practice this concept4 quick reps
Practice — Level 1 (4 reps)
Quick reps to lock in the method. Try each, then check.
- 1., . Find .
- 2.Find for .
- 3.If , find and .
- 4.Find for , .
Equality of vectors = ALL components match — that's 3 equations, not 1
Components depend on the basis; the vector itself does not
Concept 6 of 8
Types of vectors (zero, unit, equal, parallel, collinear, coplanar)
Intuition
Definition
- Zero vector — magnitude 0, direction undefined. Acts as the additive identity.
- Unit vector — magnitude exactly 1. Any non-zero has a unique unit vector along it: .
- Equal vectors — same magnitude AND direction; position on the page is irrelevant.
- **Negative of ** — same magnitude, opposite direction, written .
- Parallel vectors — same OR opposite direction; equivalently, one is a non-zero scalar multiple of the other: for some .
- Collinear points — three or more points lying on one straight line (a stronger condition than just having parallel direction vectors).
- Coplanar vectors / points — all lying in one flat plane.
- Free vs localized vector — a free vector cares only about magnitude and direction; a localized vector additionally has a fixed application point (e.g. a force at a specific point on a body). Most NDA questions treat vectors as free.
Unit vector and parallelism
- unit vector along — pure direction, magnitude 1
- non-zero scalar; sign of tells whether the parallel vectors agree or oppose
Worked example
- (i) Test parallelism by looking for a scalar with . Component 1: . Component 2: , so . Both give the same ; the vectors are parallel (specifically anti-parallel, since ).
- (ii) Magnitudes: ; . Neither is a unit vector.
- (iii) Divide by its magnitude: . Quick check: .
Practice this concept4 quick reps
Practice — Level 1 (4 reps)
Quick reps to lock in the method. Try each, then check.
- 1.Find the unit vector along .
- 2.Are and parallel?
- 3.Is a unit vector?
- 4.What is the magnitude of the zero vector ?
Parallel VECTORS vs collinear POINTS — different conditions
Zero vector is parallel to everything and to nothing
Concept 7 of 8
Collinearity of three points (and vector relations in regular figures)
Intuition
Definition
Points with position vectors are collinear if and only if there exist scalars (not all zero) with and . Equivalently with .
Collinearity test
- position vectors of the three points
- scalars; both the linear-combo and the sum vanish
Worked example
- The coefficients are . Check their sum: . Since both the linear combination and the coefficient sum vanish, the three points are collinear.
- Rewrite to isolate : , so .
- Compare with the internal section formula . Matching gives , , so divides internally in the ratio .
Practice this conceptself-check · 4 quick reps
Try it yourself
Practice — Level 1 (4 reps)
Quick reps to lock in the method. Try each, then check.
- 1.Coefficients in are . Collinear?
- 2.Coefficients . Collinear?
- 3.If , are collinear?
- 4.Three points are collinear when one displacement is a ___ of another.
From the bank · past-year question
[Q68 · Apr · 2025]
Coefficient sum must be zero — don't skip the check
means collinear, not coplanar
Concept 8 of 8
Section Formula — Internal and External Division
Intuition
Definition
If divides internally in ratio , then . If divides externally in ratio , then . Midpoint is the special case : .
Section formula (internal / external)
- position vectors of the endpoints
- ratio in which divides
- position vector of the dividing point
Diagram · section formula (internal vs external), m : n = 2 : 1
Internal: P = (m·b + n·a)/(m + n) sits between A and B. External: Q = (m·b − n·a)/(m − n) sits beyond B — the minus sign is what pushes it outside. The midpoint is the m = n case, (a + b)/2.
Worked example
- Identify the ratio: (towards ), (towards ). External division so use the minus-sign formula.
- Apply .
- Numerator: . Denominator: .
- Divide: .
Practice this conceptself-check · 4 quick reps
Try it yourself
Practice — Level 1 (4 reps)
Quick reps to lock in the method. Try each, then check.
- 1.Midpoint of and ?
- 2.divides , internally . Find .
- 3.Internal-division denominator for ratio ?
- 4.External-division denominator for ratio ?
From the bank · past-year question
[Q67 · Apr · 2018]
External division: denominator is , not
Watch the ratio order — means , not
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 (7)
- Position vectors and displacement vectors
Position vector → displacement
- Addition of vectors (triangle, parallelogram, polygon laws)
Vector addition properties
- Scalar multiplication
Scalar multiplication
- Component form: the î, ĵ, k̂ basis
Component form
- Types of vectors (zero, unit, equal, parallel, collinear, coplanar)
Unit vector and parallelism
- Collinearity of three points (and vector relations in regular figures)
Collinearity test
- Section Formula — Internal and External Division
Section formula (internal / external)
Watch out for (14)
- An arrow drawn anywhere on the page represents the same vector→ What is a vector? (Scalars vs vectors)
- Head minus tail — , not→ Position vectors and displacement vectors
- Position vectors depend on the choice of origin; displacement vectors do NOT→ Position vectors and displacement vectors
- Closed-polygon identity: if vectors form a closed loop, they sum to→ Addition of vectors (triangle, parallelogram, polygon laws)
- Magnitudes don't add: in general→ Addition of vectors (triangle, parallelogram, polygon laws)
- Sign of controls DIRECTION, not just signs of components→ Scalar multiplication
- Equality of vectors = ALL components match — that's 3 equations, not 1→ Component form: the î, ĵ, k̂ basis
- Components depend on the basis; the vector itself does not→ Component form: the î, ĵ, k̂ basis
- Parallel VECTORS vs collinear POINTS — different conditions→ Types of vectors (zero, unit, equal, parallel, collinear, coplanar)
- Zero vector is parallel to everything and to nothing→ Types of vectors (zero, unit, equal, parallel, collinear, coplanar)
- Coefficient sum must be zero — don't skip the check→ Collinearity of three points (and vector relations in regular figures)
- means collinear, not coplanar→ Collinearity of three points (and vector relations in regular figures)
- External division: denominator is , not→ Section Formula — Internal and External Division
- Watch the ratio order — means , not→ Section Formula — Internal and External Division
Mastery check — 4 interleaved questions
Try each one before clicking. Questions are interleaved across the concepts above, not grouped — interleaving sharpens transfer.
[Q96 · Apr · 2022]
[Q54 · Sep · 2024]
[Q69 · Apr · 2025]
[Q94 · Sep · 2023]
Drill every past-year question on this subtopic
6 questions from the bank — paginated, with cart and Word-export support.