Topics
Relations and Functions
Relations and Functions
Algebra
Inverse Trigonometric Functions
Matrices
- Concept of Matrices
- Types of Matrices
- Equality of Matrices
- Operations on Matrices> Addition and Subtraction of Matrices
- Operations on Matrices>Scalar Multiplication
- Operations on Matrices> Matrix Multiplication
- Transpose of a Matrix
- Symmetric and Skew Symmetric Matrices
- Invertible Matrices
- Overview of Matrices
Calculus
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
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
Sets
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
Introduction
Vectors are quantities that have both magnitude and direction, while scalars have magnitude only. In Vector Algebra, understanding different types of vectors is important because these classifications are used in geometry, physics, and later topics such as direction ratios, dot product, and three-dimensional geometry.
Types of Vectors
1. Zero Vector (Null Vector):
A vector whose initial point and terminal point coincide is called a zero vector. Its magnitude is zero, and it does not have a definite direction in the usual sense.
- Notation: \[\vec{0}\]
- Key idea: No net displacement.
2. Unit Vector
A vector having magnitude 1 is called a unit vector. If a vector \[\vec{a}\] is given, then the unit vector in its direction is written as \[\hat{a}\].
- Key idea: It shows direction only.
- Common examples: \[\hat{i}, \hat{j}, \hat{k}\] along x, y, z axes.
3. Coinitial Vectors
Vectors having the same initial point are called coinitial vectors. Their magnitudes and directions may be different, but they begin from a common point.
4. Collinear Vectors
Vectors that are parallel to the same line are called collinear vectors. They may act in the same direction or opposite direction and may have different magnitudes.
5. Equal Vectors
Two vectors are called equal vectors if they have the same magnitude and the same direction. Their positions in space may be different, but equality depends only on magnitude and direction.
6. Negative of a Vector
A vector having the same magnitude as a given vector but opposite direction is called the negative of that vector. For example, \[\overrightarrow{BA} = -\overrightarrow{AB}\].
7. Free Vectors
Vectors that can be moved parallel to themselves without changing magnitude and direction are called free vectors.
Key Points: Types of Vectors
| Type of Vector | Definition | Main Property | Simple Recall Cue |
|---|---|---|---|
| Zero vector | Initial and terminal points are same | Magnitude = 0 | No displacement |
| Unit vector | Magnitude is 1 | Gives direction conveniently | Length 1 |
| Coinitial vectors | Same starting point | Start together | Common origin |
| Collinear vectors | Parallel to same line | Lie along one line | Same line |
| Equal vectors | Same magnitude and direction | Position may differ | Same length + same direction |
| Negative vectors | Same magnitude, opposite direction | Sign changes direction | Reverse arrow |
| Free vectors | Can shift parallelly without change | Independent of position | Slide without changing |
