NDA Maths · Teaching notes
Vectors — NDA Mathematics
A vector is a quantity with both magnitude AND direction — an arrow, not a number. This chapter builds vectors from the ground up: first what they are and how to add, scale, and anchor them at an origin; then the four operations — dot, cross, projection, section — that turn vector algebra into a powerful tool for distance, angle, area, and 3-D geometry. New to vectors? Start with Position Vectors below; the other four subtopics are applications of what you build there.
Subtopic notes
Foundations: Vectors, Operations, and Position
6 PYQsWhat 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.
Open note
Magnitude, Components, Projection, Direction Cosines
11 PYQsHow to measure a vector's length, decompose it along axes, project it onto another vector, and read off the angles it makes with the coordinate axes.
Open note
Dot Product and Angle
32 PYQsThe scalar that captures how aligned two vectors are — used to compute angles, test perpendicularity, and evaluate work done by a force.
Open note
Cross Product and Triple Product
37 PYQsThe vector product whose magnitude is the area of a parallelogram, its direction the right-hand-rule perpendicular — plus the scalar and vector triple products built from it.
Open note
Vector Geometry — Triangles, Parallelograms, Quadrilaterals
11 PYQsTreating triangle / parallelogram / quadrilateral sides and diagonals as vectors, then using the loop identity, centroid formula and parallelogram law to extract distances and angles.
Open note
PYQ weightage by concept
28 concepts · 97 PYQs — where the marks actually sit, so you know what to drill first
PYQ weightage by concept
28 concepts · 97 PYQs — where the marks actually sit, so you know what to drill first
| Concept | PYQs | Share |
|---|---|---|
| Collinearity of three points (and vector relations in regular figures) | 5 | 5% |
| Section Formula — Internal and External Division | 1 | 1% |
| What is a vector? (Scalars vs vectors)foundation | — | — |
| Position vectors and displacement vectorsfoundation | — | — |
| Addition of vectors (triangle, parallelogram, polygon laws)foundation | — | — |
| Scalar multiplicationfoundation | — | — |
| Component form: the î, ĵ, k̂ basisfoundation | — | — |
| Types of vectors (zero, unit, equal, parallel, collinear, coplanar)foundation | — | — |
| Concept | PYQs | Share |
|---|---|---|
| Magnitude of a vector and distance between two points | 4 | 4% |
| Unit vectors and direction-given construction | 3 | 3% |
| Direction Cosines | 2 | 2% |
| Scalar projection of one vector on another | 2 | 2% |
| Concept | PYQs | Share |
|---|---|---|
| Angle between two vectors via the dot-product formula | 9 | 9% |
| Dot product — components form and work done | 6 | 6% |
| Perpendicularity Test | 6 | 6% |
| Unit vectors, orthogonal triples, and decomposition | 6 | 6% |
| Solving for an angle from a perpendicularity / magnitude constraint | 4 | 4% |
| Concept | PYQs | Share |
|---|---|---|
| Vector triple product (BAC-CAB rule) | 10 | 10% |
| Cross-product magnitude, area, and the Lagrange identity | 9 | 9% |
| Cross product — algebra and properties | 5 | 5% |
| Moment of a force (torque) | 4 | 4% |
| Unit vector perpendicular to two given vectors | 3 | 3% |
| Scalar triple product and coplanarity | 3 | 3% |
| STP cyclic property and derived linear-combo identities | 3 | 3% |
| Concept | PYQs | Share |
|---|---|---|
| Angles and vertices from position vectors | 4 | 4% |
| Parallelogram properties and diagonal relations | 3 | 3% |
| Triangle closed-loop and centroid formula | 2 | 2% |
| Distance and perpendicularity identities in quadrilaterals | 2 | 2% |
Formula & revision sheet
27 formulas · 55 gotchas across all subtopics — the exam-eve cheat-sheet
Formula & revision sheet
27 formulas · 55 gotchas across all subtopics — the exam-eve cheat-sheet
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
Formulas (4)
Watch out for (8)
- is — head minus tail→ Magnitude of a vector and distance between two points
- Lagrange identity gives you the missing magnitude→ Magnitude of a vector and distance between two points
- Factor-of-2 trap: , not 1→ Direction Cosines
- Direction cosines can be negative→ Direction Cosines
- Divide by , not , for the scalar projection→ Scalar projection of one vector on another
- Sign of the scalar projection encodes obtuse/acute→ Scalar projection of one vector on another
- Check that the given angles are consistent with→ Unit vectors and direction-given construction
- Equally inclined to two axes only fixes one component pair→ Unit vectors and direction-given construction
Formulas (5)
- Dot product — components form and work done · Dot product (components form)
- Perpendicularity Test · Equivalent perpendicularity statements
- Angle between two vectors via the dot-product formula · Angle from dot product
- Solving for an angle from a perpendicularity / magnitude constraint · Expansion template
- Unit vectors, orthogonal triples, and decomposition · Orthonormal-triple identities
Watch out for (10)
- Dot product gives a scalar; cross product gives a vector→ Dot product — components form and work done
- Work done is signed — negative work is fine→ Dot product — components form and work done
- means , not→ Perpendicularity Test
- Zero dot product needs both vectors non-zero→ Perpendicularity Test
- Obtuse angle iff→ Angle between two vectors via the dot-product formula
- Direction matters when comparing two angles→ Angle between two vectors via the dot-product formula
- Don't forget the cross terms when expanding→ Solving for an angle from a perpendicularity / magnitude constraint
- Unit vectors mean , not→ Solving for an angle from a perpendicularity / magnitude constraint
- Three unit vectors at equal pairwise angles need not be orthonormal→ Unit vectors, orthogonal triples, and decomposition
- is orthonormal iff and both unit→ Unit vectors, orthogonal triples, and decomposition
Formulas (7)
- Cross product — algebra and properties · Difference-of-squares-style identity
- Cross-product magnitude, area, and the Lagrange identity · Magnitude, area, and Lagrange
- Unit vector perpendicular to two given vectors · Unit perpendicular
- Moment of a force (torque) · Moment of a force
- Scalar triple product and coplanarity · STP as determinant + coplanarity test
- STP cyclic property and derived linear-combo identities · Cyclic + sum identity
- Vector triple product (BAC-CAB rule) · BAC-CAB rule
Watch out for (15)
- Cross product is NOT associative→ Cross product — algebra and properties
- does NOT mean both vectors are zero→ Cross product — algebra and properties
- Area of a triangle is , NOT→ Cross-product magnitude, area, and the Lagrange identity
- is always non-negative for→ Cross-product magnitude, area, and the Lagrange identity
- Both signs give valid answers→ Unit vector perpendicular to two given vectors
- Scalar multiples of a unit perpendicular are not unit→ Unit vector perpendicular to two given vectors
- Order is , not→ Moment of a force (torque)
- Moment depends on the pivot — moment of a force about a POINT is unique, but about a LINE is also a vector→ Moment of a force (torque)
- STP means coplanar — NOT \" parallel to \"→ Scalar triple product and coplanarity
- Determinant row/column expansion: pick the row with most zeros→ Scalar triple product and coplanarity
- Anti-cyclic = sign flip — don't accidentally drop it→ STP cyclic property and derived linear-combo identities
- → STP cyclic property and derived linear-combo identities
- BAC-CAB only applies to vector triple products — not scalar→ Vector triple product (BAC-CAB rule)
- Cross-then-cross is NOT cross-then-dot-with-different-grouping→ Vector triple product (BAC-CAB rule)
- Special triples: if and , the three vectors are an orthonormal pairwise-perpendicular triple→ Vector triple product (BAC-CAB rule)
Formulas (4)
- Triangle closed-loop and centroid formula · Loop identity + centroid
- Parallelogram properties and diagonal relations · Sides from diagonals
- Angles and vertices from position vectors · Angle at vertex from position vectors
- Distance and perpendicularity identities in quadrilaterals · Parallelogram law and distance expansion
Watch out for (8)
- Direction matters in the loop —→ Triangle closed-loop and centroid formula
- is NOT — it is→ Triangle closed-loop and centroid formula
- Vertex order matters→ Parallelogram properties and diagonal relations
- The fourth vertex of a parallelogram:→ Parallelogram properties and diagonal relations
- Direction of side vectors changes the angle→ Angles and vertices from position vectors
- Fourth-vertex problems: , not the midpoint→ Angles and vertices from position vectors
- Direction of comparison matters for parallelism→ Distance and perpendicularity identities in quadrilaterals
- Expand squared distances algebraically — don't reach for coordinates first→ Distance and perpendicularity identities in quadrilaterals