#### Topics

##### Relations and Functions

##### Algebra

##### Calculus

##### Vectors and Three-dimensional Geometry

##### Linear Programming

##### Probability

##### Sets

##### Inverse Trigonometric Functions

##### Relations and Functions

##### Determinants

- Applications of Determinants and Matrices
- Elementary Transformations
- Inverse of a Square Matrix by the Adjoint Method
- Properties of Determinants
- Determinant of a Square Matrix
- Determinants of Matrix of Order One and Two
- Introduction of Determinant
- Area of a Triangle
- Minors and Co-factors
- Determinant of a Matrix of Order 3 × 3
- Rule A=KB

##### Matrices

- Introduction of Operations on Matrices
- Inverse of a Nonsingular Matrix by Elementary Transformation
- Multiplication of Two Matrices
- Negative of Matrix
- Properties of Matrix Addition
- Concept of Transpose of a Matrix
- Subtraction of Matrices
- Addition of Matrices
- Symmetric and Skew Symmetric Matrices
- Types of Matrices
- Proof of the Uniqueness of Inverse
- Invertible Matrices
- Elementary Transformations
- Multiplication of Matrices
- Properties of Multiplication of Matrices
- Equality of Matrices
- Order of a Matrix
- Matrices Notation
- Introduction of Matrices
- Multiplication of a Matrix by a Scalar
- Properties of Scalar Multiplication of a Matrix
- Properties of Transpose of the Matrices

##### Continuity and Differentiability

- Derivative - Exponential and Log
- Concept of Differentiability
- Proof Derivative X^n Sin Cos Tan
- Infinite Series
- Higher Order Derivative
- Algebra of Continuous Functions
- Continuous Function of Point
- Mean Value Theorem
- Second Order Derivative
- Derivatives of Functions in Parametric Forms
- Logarithmic Differentiation
- Exponential and Logarithmic Functions
- Derivatives of Implicit Functions
- Derivatives of Inverse Trigonometric Functions
- Derivatives of Composite Functions - Chain Rule
- Concept of Continuity

##### Applications of Derivatives

- Maximum and Minimum Values of a Function in a Closed Interval
- Maxima and Minima
- Simple Problems on Applications of Derivatives
- Graph of Maxima and Minima
- Approximations
- Tangents and Normals
- Increasing and Decreasing Functions
- Rate of Change of Bodies Or Quantities
- Introduction to Applications of Derivatives

##### Applications of the Integrals

##### Differential Equations

- Linear Differential Equations
- Solutions of Linear Differential Equation
- Homogeneous Differential Equations
- Differential Equations with Variables Separable Method
- Formation of a Differential Equation Whose General Solution is Given
- General and Particular Solutions of a Differential Equation
- Order and Degree of a Differential Equation
- Basic Concepts of Differential Equation
- Procedure to Form a Differential Equation that Will Represent a Given Family of Curves

##### Integrals

- Definite Integrals Problems
- Indefinite Integral Problems
- Comparison Between Differentiation and Integration
- Geometrical Interpretation of Indefinite Integral
- Integrals of Some Particular Functions
- Indefinite Integral by Inspection
- Properties of Indefinite Integral
- Integration Using Trigonometric Identities
- Introduction of Integrals
- Evaluation of Definite Integrals by Substitution
- Properties of Definite Integrals
- Fundamental Theorem of Calculus
- Definite Integral as the Limit of a Sum
- Evaluation of Simple Integrals of the Following Types and Problems
- Methods of Integration: Integration by Parts
- Methods of Integration: Integration Using Partial Fractions
- Methods of Integration: Integration by Substitution
- Integration as an Inverse Process of Differentiation

##### Three - Dimensional Geometry

- Three - Dimensional Geometry Examples and Solutions
- Introduction of Three Dimensional Geometry
- Equation of a Plane Passing Through Three Non Collinear Points
- Relation Between Direction Ratio and Direction Cosines
- Intercept Form of the Equation of a Plane
- Coplanarity of Two Lines
- Distance of a Point from a Plane
- Angle Between Line and a Plane
- Angle Between Two Planes
- Angle Between Two Lines
- Vector and Cartesian Equation of a Plane
- Shortest Distance Between Two Lines
- Equation of a Line in Space
- Direction Cosines and Direction Ratios of a Line
- Equation of a Plane in Normal Form
- Equation of a Plane Perpendicular to a Given Vector and Passing Through a Given Point
- Plane Passing Through the Intersection of Two Given Planes

##### Vectors

- Direction Cosines
- Properties of Vector Addition
- Geometrical Interpretation of Scalar
- Scalar Triple Product of Vectors
- Vector (Or Cross) Product of Two Vectors
- Scalar (Or Dot) Product of Two Vectors
- Position Vector of a Point Dividing a Line Segment in a Given Ratio
- Multiplication of a Vector by a Scalar
- Addition of Vectors
- Introduction of Vector
- Magnitude and Direction of a Vector
- Basic Concepts of Vector Algebra
- Vectors and Their Types
- Components of a Vector
- Section Formula
- Vector Joining Two Points
- Vectors Examples and Solutions
- Projection of a Vector on a Line
- Introduction of Product of Two Vectors

##### Linear Programming

##### Probability

- Variance of a Random Variable
- Probability Examples and Solutions
- Conditional Probability
- Multiplication Theorem on Probability
- Independent Events
- Bayes’ Theorem
- Random Variables and Its Probability Distributions
- Mean of a Random Variable
- Bernoulli Trials and Binomial Distribution
- Introduction of Probability
- Properties of Conditional Probability

#### definition

The vector product of two nonzero vectors , is denoted by and defined as `vec a xx vec b = |vec a| |vec b| sin theta hat n`,

where ,θ is the angle between , `vec a` and `vec b` = 0 ≤ θ ≤ π and `hat n` is a unit vector perpendicular to both `vec a` and `vec b`, such that `vec a`, `vec b` and `hat n` form a right handed system in following fig .

i.e., the right handed system rotated from `vec a` to `vec b` moves in the direction `hat n`.

If either `vec a = vec 0` or `vec b = vec 0` , then θ is not defined and in this case, we define `vec a xx vec b = vec 0`.

#### notes

Observations:

1) `vec a xx vec b` is a vector.

2) Let `vec a` and `vec b` be two nonzero vectors. Then `vec a xx vec b = vec 0` if and only if `vec a` and `vec b` are parallel (or collinear) to each other, i.e.,

`vec a xx vec b = vec 0 <=> vec a||vec b`

In particular , `vec a xx vec b = vec 0` and `vec a xx (-vec a) = vec 0`, since in the first situation, θ = 0 and in the second one, θ = π, making the value of sinθ to be 0.

3) If , θ = `π/2` then `vec a xx vec b = |vec a||vec b|.`

4) In view of the Observations 2 and 3, for mutually perpendicular unit vectors `hat i , hat j` and` hatk` fig.

`hat i xx hat i = hat j xx hat j = hat k xx hat k = vec 0`

`hat i xx hat j = hat k , hat j xx hat k = hat i , hat k xx hat i = hat j`

5) In terms of vector product, the angle between two vectors `vec a` and `vec b` may be given as

`sin theta = (|vec a xx vec b|)/(|vec a||vec b|)`

6) It is always true that the vector product is not commutative, as `vec a xx vec b = - vec b xx vec a.`

Indeed `vec a xx vec b = |vec a||vec b| sin theta hat n_1`, where `vec b, vec a "and" hat n_1` form a right handed system, i.e., θ is traversed from `vec b "to" vec a` in following fig.

While , `vec b xx vec a = |vec a||vec b| sin theta hat n_1` , where `vec b, vec a "and" hat n_1` form a right handed system i.e. θ is traversed from `vec b " to" vec a`,

Fig.

Thus, if we assume `vec a` and `vec b` to lie in the plane of the paper, then `hat n` and `hat n_1` both will be perpendicular to the plane of the paper. But, `hat n` being directed above the paper while `hat n_1` directed below the paper i.e. `hat n_1 = -hat n.`

Hence `vec a xx vec b = |vec a||vec b| sin theta hat n`

=` - |vec a||vec b| = sin theta hatn_1`

= -`vec b xx vec a =`

7) In view of the Observations 4 and 6, we have

`hat j xx hat i = - hat k , hat k xx hat j = - hat i` and `hat i xx hat k = -hat j.`

8) If `vec a` and `vec b` represent the adjacent sides of a triangle then its area is given as `1/2 |vec a xx vec b|`.

By definition of the area of a triangle, we have from fig.

Area of triangle ABC = `1/2` AB .CD

But AB = `|vec b|` (as given ), and CD = `|vec a| sin θ. `

Thus, Area of triangle ABC = `1/2 |vec b||vec a| sin theta = 1/2 | vec a xx vec b|`.

9) If `vec a "and" vec b` represent the adjacent sides of a parallelogram, then its area is given by |vec a xx vec b|.From the following Fig. we have