Topics
Relations and Functions
Relations and Functions
Inverse Trigonometric Functions
Algebra
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
Applications of Derivatives
Probability
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
A vector in three-dimensional geometry can be written in terms of its components along the x-, y-, and z-axes using the unit vectors \[\vec{i}, \vec{j}, \vec{k}\]. This component form makes it easier to find magnitude, compare vectors, and perform operations like addition and subtraction.
Definition: Component Form of a Vector
If P(x, y, z) is a point, then its position vector is
This is called the component form of a vector.
Properties of Vectors in Component Form
- Magnitude
\[|\vec{r}| = \sqrt{x^2 + y^2 + z^2}\]
- Addition
If \[\vec{a} = a_1\hat{i} + a_2\hat{j} + a_3\hat{k}\] and
\[\vec{b} = b_1\hat{i} + b_2\hat{j} + b_3\hat{k}\]
then \[\vec{a} + \vec{b} = (a_1 + b_1)\hat{i} + (a_2 + b_2)\hat{j} + (a_3 + b_3)\hat{k}\]
- Subtraction
\[\vec{a} - \vec{b} = (a_1 - b_1)\hat{i} + (a_2 - b_2)\hat{j} + (a_3 - b_3)\hat{k}\]
- Scalar Multiplication
\[\lambda\vec{a} = (\lambda a_1)\hat{i} + (\lambda a_2)\hat{j} + (\lambda a_3)\hat{k}\]
- Equality of Vectors
Two vectors are equal if their corresponding components are equal.
- Collinearity of Vectors
Two vectors are collinear if one is a scalar multiple of the other, i.e. \[\vec{b} = \lambda\vec{a}\]
- Equality of Vectors
Two vectors are equal if their corresponding components are equal.
Example 1
Find the values of \[x, y\] and \[z\] so that the vectors \[\vec{a} = x\hat{i} + 2\hat{j} + z\hat{k}\]and \[\vec{b} = 2\hat{i} + y\hat{j} + \hat{k}\]are equal.
Solution: Note that two vectors are equal if and only if their corresponding components are equal. Thus, the given vectors \[\vec{a}\] and \[\vec{b}\] will be equal if and only if
Example 2
Question: Find a vector of magnitude 7 units in the direction of:
Solution:
Step 1: Find the magnitude of \[\vec{a}\].
Step 2: Find the unit vector in the same direction.
Step 3: Multiply by 7.
