Topics
Relations and Functions
Relations and Functions
Algebra
Inverse Trigonometric Functions
Matrices
Calculus
Determinants
- Determinant of a Matrix
- Expansion of Determinant
- Area of Triangle using Determinant
- Minors and Co-factors
- Adjoint & Inverse of Matrix
- Applications of Determinants and Matrices
- Overview of Determinants
Vectors and Three-dimensional Geometry
Continuity and Differentiability
- Continuous and Discontinuous Functions
- Algebra of Continuous Functions
- Concept of Differentiability
- Derivatives of Composite Functions
- Derivative of Implicit Functions
- Derivative of Inverse Function
- Exponential and Logarithmic Functions
- Logarithmic Differentiation
- Derivatives of Functions in Parametric Forms
- Second Order Derivative
- Overview of Continuity and Differentiability
Linear Programming
Probability
Applications of Derivatives
Sets
Integrals
- Introduction of Integrals
- Integration as an Inverse Process of Differentiation
- Properties of Indefinite Integral
- Methods of Integration> Integration by Substitution
- Methods of Integration>Integration Using Trigonometric Identities
- Methods of Integration> Integration Using Partial Fraction
- Methods of Integration> Integration by Parts
- Integrals of Some Particular Functions
- Definite Integrals
- Fundamental Theorem of Integral Calculus
- Evaluation of Definite Integrals by Substitution
- Properties of Definite Integrals
- Overview of Integrals
Applications of the Integrals
Differential Equations
- Basic Concepts of Differential Equations
- Order and Degree of a Differential Equation
- General and Particular Solutions of a Differential Equation
- Methods of Solving Differential Equations> Variable Separable Differential Equations
- Methods of Solving Differential Equations> Homogeneous Differential Equations
- Methods of Solving Differential Equations>Linear Differential Equations
- Overview of Differential Equations
Vectors
- Basic Concepts of Vector Algebra
- Direction Ratios, Direction Cosine & Direction Angles
- Types of Vectors in Algebra
- Algebra of Vector Addition
- Multiplication in Vector Algebra
- Components of Vector in Algebra
- Vector Joining Two Points in Algebra
- Section Formula in Vector Algebra
- Product of Two Vectors
- Overview of Vectors
Three - Dimensional Geometry
Linear Programming
Probability
Triangle Law
If two vectors are represented in magnitude and direction by two sides of a triangle taken in order, then their sum is \[\overline{\mathrm{AC}}=\overline{\mathrm{AB}}+\overline{\mathrm{BC}}\]
Definition: Scalar Quantity
A physical quantity that is described with magnitude alone is called a scalar.
Notes
Let ‘l’ be any straight line in plane or three dimensional space. This line can be given two directions by means of arrowheads. A line with one of these directions prescribed is called a directed line in following first and second fig .
Position Vector:
The three dimensional right handed rectangular coordinate system in following first fig.
Consider a point P in space, having coordinates (x, y, z) with respect to the origin O(0, 0, 0). Then, the vector having O and P as its initial and terminal points, respectively, is called the position vector of the point P with respect to O.
Using distance formula `|vec (OP)| = sqrt(x^2 + y^2 + z^2)`
In practice, the position vectors of points A, B, C, etc., with respect to the origin O are denoted by `vec a , vec b , vec c` etc., respectively in above second fig.
Direction Cosines:
The position vector `vec (OP) (or vec r)` of a point P(x, y, z) as in following Fig.

The angles α, β, γ made by the vector `vec r` with the positive directions of x, y and z-axes respectively, are called its direction angles.
The cosine values of these angles, i.e., cosα, cosβ and cosγ are called direction cosines of the vector `vec r` , and usually denoted by l, m and n, respectively.
one may note that the triangle OAP is right angled, and in it, we have `cos alpha = x/r`( r stands for |`vec r`|). Similarly, from the right angled triangles OBP and OCP, we may write `cos beta= y/r` and `cos gamma = z/r`. Thus, the coordinates of the point P may also be expressed as (lr, mr,nr). The numbers lr, mr and nr, proportional to the direction cosines are called as direction ratios of vector `vec r` , and denoted as a, b and c, respectively.
Definition: Vector Quantity
A physical quantity that is described with both magnitude and direction is called a vector.
Parallelogram Law
If two co-initial vectors are represented in magnitude and direction by adjacent sides of a parallelogram, then their sum is represented in magnitude and direction by the diagonal of the parallelogram passing through the common point.
∴ \[\overline{\mathrm{AC}}=\overline{\mathrm{AB}}+\overline{\mathrm{BC}}\]
Definition: Zero Vector
A vector whose magnitude is zero is called a zero vector.
Definition: Negative Vector
A vector that has the same magnitude as a given vector but acts in the opposite direction is called a negative vector.
Definition: Equal Vector
Two vectors having the same magnitude and the same direction are called equal vectors.
Definition: Position Vector
A vector that describes the position of a point with respect to the origin is called a position vector.
Definition: Unit Vector
A vector that has a magnitude of one unit and is used to indicate direction is called a unit vector.
Definition: Coplanar Vectors
Vectors that act in the same plane are called coplanar vectors.
Definition: Orthogonal Vectors
Vectors that are perpendicular to each other are called orthogonal vectors.
Definition: Rectangular Components
When a vector \[\vec P\] is split into two mutually perpendicular parts along the horizontal and vertical axes, those parts are called rectangular components.
Law: Commutative Law
For any two vectors \[\vec P\] and \[\vec Q\]:
The commutative law holds true for addition of vectors but not for subtraction.
Law: Associative Law
For three vectors \[\vec P\], \[\vec Q\], and \[\vec R\]:
The associative law holds true for addition of vectors but not for subtraction.
Law: Triangle Law / Parallelogram Law of Vector Addition
Two vectors can be added using either the Triangle Law or the Parallelogram Law. When two vectors \[\vec P\] and \[\vec Q\] are represented as two sides of a triangle (or two adjacent sides of a parallelogram), their resultant is represented by the third side (or the diagonal).
Law: Range of Resultant
The resultant R of two vectors \[\vec P\] and \[\vec Q\] always lies between their difference and their sum:
Formula: Magnitude of Resultant
If two vectors \[\vec P\] and \[\vec Q\] act at an angle θ, the magnitude of their resultant is:
| Condition | Angle | Resultant |
|---|---|---|
| Parallel vectors | 0° | R = P + Q |
| Perpendicular vectors | 90° | R = \[\sqrt{P^{2}+Q^{2}}\] |
| Anti-parallel vectors | 180° | R = P − Q |
Formula: Rectangular Components
If a vector \[\vec P\] is resolved into two rectangular components:
- Horizontal component: Px = P cos θ
- Vertical component: Py = P sin θ
Formula: Dot Product (Scalar Product)
\[\vec P\] ⋅ \[\vec Q\] = PQ cos θ
| θ | Dot Product |
|---|---|
| 0° | PQ |
| 90° | 0 |
| 180° | −PQ |
Formula: Cross Product (Vector Product)
∣\[\vec P\] × \[\vec Q\]∣ = PQ sin θ
| θ | Cross Product |
|---|---|
| 0° | 0 |
| 90° | PQ |
| 180° | 0 |
