Chapter 32 · Class 11-12 & JEE Main/Adv
Vectors
67 topics in 15 parts
Key ideas
Conceptual Foundation & Core Theory
In 3D Euclidean space, a Plane is a flat two-dimensional surface that extends infinitely in all directions. A plane is uniquely positioned in space if we know either (1) its perpendicular distance from the origin and its normal direction, or (2) a point lying on the plane and a normal vector perpendicular to it.
General Cartesian Equation of a Plane:
Every first-degree equation in x, y, z represents a plane:
Ax + By + Cz + D = 0
Crucially, the coefficients <A, B, C> represent the Direction Ratios of the Normal Vector perpendicular to the plane!
Intercept Form: If a plane cuts off intercepts a, b, c from the coordinate axes X, Y, Z respectively, its equation is:
x / a + y / b + z / c = 1
Standard Formulas & Governing Conditions
// Plane Formulations in 3D Space
1. General Cartesian Form:
Ax + By + Cz + D = 0 (Normal vector n = Aî + Bĵ + Ck̂)
2. Vector Form Passing through a with Normal n:
(r - a) · n = 0 ⟺ r · n = d
3. Normal Form (Unit Normal n̂ and Perpendicular Distance p from Origin):
r · n̂ = p ⟺ lx + my + nz = p
4. Intercept Form (Intercepts a, b, c on axes):
x/a + y/b + z/c = 1
5. Perpendicular Distance of Point (x1, y1, z1) from Plane Ax + By + Cz + D = 0:
d = | Ax1 + By1 + Cz1 + D | / √(A² + B² + C²)
6. Distance Between Two Parallel Planes Ax + By + Cz + D1 = 0 and Ax + By + Cz + D2 = 0:
d = | D1 - D2 | / √(A² + B² + C²)Standard Forms of Plane Equations
| Plane Equation Form | Formula | Geometrical Information Conveyed |
|---|---|---|
| General Form | Ax + By + Cz + D = 0 | Normal direction ratios are <A, B, C> |
| Normal Form | lx + my + nz = p | p is exact perpendicular distance from origin; <l, m, n> are DCs |
| Intercept Form | x/a + y/b + z/c = 1 | Plane cuts X at (a,0,0), Y at (0,b,0), Z at (0,0,c) |
| Three-Point Form | | x-x1 y-y1 z-z1 ; x2-x1 y2-y1 z2-z1 ; x3-x1 y3-y1 z3-z1 | = 0 | Plane passing through three non-collinear points |
Step-by-Step Solved Problem (JEE Main Standard)
Problem: Find the perpendicular distance between the parallel planes 2x - 2y + z + 3 = 0 and 4x - 4y + 2z + 5 = 0.
Multiply Plane 1 by 2: 4x - 4y + 2z + 6 = 0.
Plane 2: 4x - 4y + 2z + 5 = 0.
Here A = 4, B = -4, C = 2, D₁ = 6, D₂ = 5.
d = |D₁ - D₂| / √(A² + B² + C²)
d = |6 - 5| / √(4² + (-4)² + 2²) = 1 / √(16 + 16 + 4) = 1 / √36 = 1/6 units.
Analytical Comparison & Distinction Matrix
| Analytical Method | Standard Representation | Parametric / Invariant Framework |
|---|---|---|
| Algebraic Nature | Explicit equations relating spatial coordinates | Parameterized using scalar parameters (λ, μ) or vectors |
| Symmetry Usage | Relies on coordinate expansion | Exploits vector dot/cross products for rapid simplification |
| Computational Efficiency | Direct for intercept evaluation | Superior for angles, orthogonal projections, and distances |
| Common Mistake | Sign confusion in determinants | Omitting boundary condition checks |
| Property | Direction Cosines (l, m, n) | Direction Ratios (a, b, c) |
|---|---|---|
| Definition | Actual cosines of angles made with axes (cos α, cos β, cos γ) | Any set of numbers proportional to direction cosines |
| Normalization | Strictly normalized: l² + m² + n² = 1 | Not normalized; can be multiplied by any constant k ≠ 0 |
| Uniqueness | Unique for a given directed line (up to ± sign) | Infinitely many sets for the same line |
| Unit Vector | lî + mĵ + nk̂ is always a UNIT VECTOR of magnitude 1 | aî + bĵ + ck̂ has magnitude √(a² + b² + c²) |
Step-by-Step Solved Problem (JEE Main Standard)
Problem: A line makes angles of 60° and 45° with the positive X and Y axes respectively. Find the angle it makes with the positive Z axis.
α = 60° ⟹ l = cos 60° = 1/2.
β = 45° ⟹ m = cos 45° = 1/√2.
Let angle with Z axis be γ ⟹ n = cos γ.
l² + m² + n² = 1 ⟹ (1/2)² + (1/√2)² + cos²γ = 1
1/4 + 1/2 + cos²γ = 1 ⟹ 3/4 + cos²γ = 1
cos²γ = 1 - 3/4 = 1/4 ⟹ cos γ = ± 1/2.
If cos γ = 1/2 ⟹ γ = 60° (or π/3).
If cos γ = -1/2 ⟹ γ = 120° (or 2π/3).
Conceptual Foundation & Core Theory
In three-dimensional space, two lines can either be parallel, intersecting, or skew (non-parallel lines that never intersect because they lie in different planes). For two straight lines to be coplanar, they must lie simultaneously on a single flat plane. In that plane, they must either be parallel or intersect at a single unique point.
The Vector Condition: Consider two lines defined in vector form:
Line 1: r = a₁ + λb₁ Line 2: r = a₂ + μb₂
Here, a₁ and a₂ are position vectors of known points on the lines, while b₁ and b₂ are vectors parallel to the lines. The vector connecting point A on Line 1 to point B on Line 2 is (a₂ - a₁). For both lines to reside on the same plane, (a₂ - a₁) must be completely coplanar with b₁ and b₂. Because the cross-product vector (b₁ × b₂) is normal (perpendicular) to the plane containing both lines, the scalar triple product must strictly vanish:
(a₂ - a₁) · (b₁ × b₂) = 0
The Cartesian Determinant Test: Expressing the lines in symmetric Cartesian form:
(x - x₁)/a₁ = (y - y₁)/b₁ = (z - z₁)/c₁ and (x - x₂)/a₂ = (y - y₂)/b₂ = (z - z₂)/c₂
The necessary and sufficient condition for coplanarity is that the 3×3 determinant equals zero:
| (x₂ - x₁) (y₂ - y₁) (z₂ - z₁) |
| a₁ b₁ c₁ | = 0
| a₂ b₂ c₂ |
Standard Formulas & Governing Conditions
// 3D Geometry: Coplanarity & Intersection Governing Equations
1. Vector Condition for Coplanarity:
(a2 - a1) · (b1 × b2) = 0 [Scalar Triple Product = 0]
2. Cartesian Condition for Coplanarity (Determinant Form):
| x2 - x1 y2 - y1 z2 - z1 |
| a1 b1 c1 | = 0
| a2 b2 c2 |
3. Equation of the Plane Containing Both Coplanar Lines:
| x - x1 y - y1 z - z1 |
| a1 b1 c1 | = 0
| a2 b2 c2 |
4. Shortest Distance Between Non-Coplanar (Skew) Lines:
d = | (a2 - a1) · (b1 × b2) | / | b1 × b2 |Relative Spatial Orientations of Two Lines in 3D Space
| Orientation Type | Coplanarity Status | Shortest Distance (d) | Direction Ratios Condition |
|---|---|---|---|
| Intersecting Lines | Always Coplanar (Share 1 plane) | d = 0 (Unique point of contact) | Non-proportional direction ratios (b1 ≠ k b2) |
| Parallel Lines | Always Coplanar (Share 1 plane) | d = |(a2 - a1) × b| / |b| | Direction ratios are strictly proportional: a1/a2 = b1/b2 = c1/c2 |
| Skew Lines | Non-Coplanar (Cannot share a plane) | d = |(a2-a1)·(b1×b2)| / |b1×b2| > 0 | Non-parallel and non-intersecting lines in space |
| Coincident Lines | Coplanar (Identical lines) | d = 0 (Infinite points of contact) | Same direction ratios and share all points |
Step-by-Step Solved Problem (JEE Advanced Standard)
Problem: Show that the lines L₁: (x - 1)/2 = (y - 2)/3 = (z - 3)/4 and L₂: (x - 2)/3 = (y - 3)/4 = (z - 4)/5 are coplanar, and find their point of intersection.
(x₁, y₁, z₁) = (1, 2, 3) and (a₁, b₁, c₁) = (2, 3, 4)
(x₂, y₂, z₂) = (2, 3, 4) and (a₂, b₂, c₂) = (3, 4, 5)
| 1 1 1 ; 2 3 4 ; 3 4 5 | = 1(-1) - 1(-2) + 1(-1) = 0.
Determinant = 0 ⟹ Lines are COPLANAR!
Equating coordinates gives P = (-1, -1, -1).
Conceptual Foundation & Core Theory
By Euclid's fundamental postulate extended into three dimensions, two distinct points in space uniquely determine a straight line. If point A(x₁, y₁, z₁) and point B(x₂, y₂, z₂) lie on the line, the vector joining them AB = (x₂ - x₁)î + (y₂ - y₁)ĵ + (z₂ - z₁)k̂ provides the line's direction vector.
Cartesian Equation (Two-Point Form):
(x - x₁) / (x₂ - x₁) = (y - y₁) / (y₂ - y₁) = (z - z₁) / (z₂ - z₁) = λ
Notice that the denominators (x₂ - x₁), (y₂ - y₁), (z₂ - z₁) directly represent the direction ratios of the line.
Standard Formulas & Governing Conditions
// Line Through Two Points Equations
1. Cartesian Two-Point Form:
(x - x1)/(x2 - x1) = (y - y1)/(y2 - y1) = (z - z1)/(z2 - z1) = λ
2. Vector Two-Point Form:
r = a + λ(b - a) = (1 - λ)a + λb
3. Direction Cosines of Line AB:
l = (x2 - x1) / |AB|, m = (y2 - y1) / |AB|, n = (z2 - z1) / |AB|
where |AB| = √[ (x2-x1)² + (y2-y1)² + (z2-z1)² ]One-Point Form vs Two-Point Form
| Characteristic | Line Through Point & Direction Vector | Line Through Two Points |
|---|---|---|
| Required Data | One point (x1, y1, z1) and direction ratios <a, b, c> | Two coordinates (x1, y1, z1) and (x2, y2, z2) |
| Direction Ratios | Given directly as <a, b, c> | Calculated as <x2 - x1, y2 - y1, z2 - z1> |
| Vector Equation | r = a + λb | r = a + λ(b - a) |
| Midpoint Coordinate | Requires specifying λ = distance/(2|b|) | Direct midpoint formula: ((x1+x2)/2, (y1+y2)/2, (z1+z2)/2) |
Step-by-Step Solved Problem (Board Exam Standard)
Problem: Find the Cartesian and vector equations of the line passing through points A(3, 4, -7) and B(1, -1, 6). Determine whether the point C(5, 9, -20) lies on this line.
<a, b, c> = <x₂ - x₁, y₂ - y₁, z₂ - z₁> = <1 - 3, -1 - 4, 6 - (-7)> = <-2, -5, 13>.
• Vector Form: r = (3î + 4ĵ - 7k̂) + λ(-2î - 5ĵ + 13k̂)
• Cartesian Form: (x - 3) / -2 = (y - 4) / -5 = (z + 7) / 13 = λ
Substitute (5, 9, -20) into the Cartesian equation:
(5 - 3) / -2 = 2 / -2 = -1
(9 - 4) / -5 = 5 / -5 = -1
(-20 + 7) / 13 = -13 / 13 = -1
Since λ = -1 for all three coordinates, point C lies on the line (collinear)!
Checkpoint
1. What are the direction ratios of the normal to the plane 3x - 4y + 5z = 12?
2. What is the value of sin²α + sin²β + sin²γ where α, β, γ are the direction angles of a line?
3. If two non-parallel lines in space have a shortest distance of zero, they are:
4. What are the direction ratios of the line passing through (2, 3, 5) and (4, -1, 8)?
All 67 topics in Vectors
Coordinate Axes & Coordinate Planes in Three-Dimensional Space
- Coordinate Axes & Coordinate Planes
- Coordinates of a Point in Space
- Distance Between Two Points
Evolution of Vector Concept
- Definition
- Direction Cosines
- Position Vector
Types of Vectors
- Co-initial Vectors
- Collinear Vectors
- Coplanar Vectors
- Equal Vectors
- Free Vectors
- Like & Unlike Vectors
- Localised Vectors
- Negative of a Vector
- Non-collinear Vectors
- Parallel Vectors
- Unit Vector
- Zero Vector
Vector Operations & Components
- Basic Vector Algebra
- Vector Addition
- Properties of Vector Addition
- Components of a Vector
- Scalar Multiplication
Linear Combination, Linear Independence & Linear Dependence
- Linear Combination
- Linearly Dependent Vectors
- Linearly Independent Vectors
- Coplanarity of Vectors
- Condition of Coplanarity of Four Points
Dot (Scalar) Product
- Geometrical Interpretation of Scalar Product
- Physical Interpretation of Scalar Product
- Properties of Dot (Scalar) Product
Applications of Dot (Scalar) Product
- Cosine Rule Using Dot Product
- Finding Angle Between Two Vectors
- Projection of a Vector
- Resolving a Vector Along & Perpendicular to Another Vector
Vector (or Cross) Product of Two Vectors
- Geometrical Interpretation of Cross Product
- Physical Interpretation as a Moment of Force
- Properties of Cross Product
- Area Using Cross Product
Scalar Triple Product
- Geometric Interpretation
- Properties of Scalar Triple Product
- Volume of Tetrahedron
Vector Triple Product & Higher Products
- Lagrange's Identity
- Scalar Product of Four Vectors
- Vector Product of Four Vectors
Reciprocal System of Vectors
- Reciprocal System of Vectors
Vector Geometry
- Vector Joining Two Points
- Section Formula
- Internal Division
- External Division
- Vector Along the Bisector of Two Vectors
- Parallelograms & Polygons
- Triangle Geometry
- Vector Optimization
Straight Lines in Three-Dimensional Space
- Equation Through a Point Parallel to a Vector
- Equation Through Two Points
- Angle Between Two Lines
- Perpendicular Distance of a Point From a Line
- Foot of Perpendicular & Reflection in a Line
- Shortest Distance Between Two Lines
- Concurrency of Lines
Planes in Three-Dimensional Space
- Equation of a Plane
- Angle Between Two Planes
- Line of Intersection of Two Planes
Relations Between Lines & Planes
- Angle Between a Line & a Plane
- Projection of a Line on a Plane
- Reflection of a Line in a Plane