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Unit I: Relations and Functions
Chapter 1: Relations and Functions
Types of relations:
• Reflexive
• Symmetric
• transitive and equivalence relations
• One to one and onto functions
• composite functions
• inverse of a function
• Binary operations
Chapter 2: Inverse Trigonometric Functions
• Definition, range, domain, principal value branch
• Graphs of inverse trigonometric functions
• Elementary properties of inverse trigonometric functions
Unit II: Algebra
Chapter 1: Matrices
• Operation on matrices: Addition and multiplication and multiplication with a scalar
• Simple properties of addition, multiplication and scalar multiplication
• Concept of elementary row and column operations
• Invertible matrices and proof of the uniqueness of inverse, if it exists;
Chapter 2: Determinants
• Ad joint and inverse of a square matrix
Unit III: Calculus
Chapter 1: Continuity and Differentiability
• Continuity and differentiability, derivative of composite functions, chain rule, derivatives of inverse trigonometric functions, derivative of implicit functions
• Concept of exponential and logarithmic functions.
• Derivatives of logarithmic and exponential functions
geometric interpretation
Chapter 2: Applications of Derivatives
• Applications of derivatives: rate of change of bodies, increasing/decreasing functions, tangents and normal, use of derivatives in approximation, maxima and minima
• Simple problems Chapter 3: Integrals
• Integration as inverse process of differentiation
• Integration of a variety of functions by substitution, by partial fractions and by parts
Evaluation of simple integrals of the following types and problems based on them
Definite integrals as a limit of a sum, Fundamental Theorem of Calculus
Basic properties of definite integrals and evaluation of definite integrals
Chapter 4: Applications of the Integrals
Applications in finding the area under simple curves, especially lines, circles/parabolas/ellipses
Area between any of the two above said curves (the region should be clearly identifiable)
Chapter 5: Differential Equations
Definition, order and degree, general and particular solutions of a differential equation
Formation of differential equation whose general solution is given
Solutions of linear differential equation of the type:
Unit IV: Vectors and Three-Dimensional Geometry
Chapter 1: Vectors
Vectors and scalars, magnitude and direction of a vector
Direction cosines and direction ratios of a vector
Chapter 2: Three – dimensional Geometry
Direction cosines and direction ratios of a line joining two points
Cartesian and vector equation of a plane
Angle between:
Two lines
Two planes
A line and a plane
Distance of a point from a plane
Unit V: Linear Programming
Chapter 1: Linear Programming
Introduction
Related terminology such as:
• Constraints
• Objective function
• Optimization
• Different types of linear programming (L.P.) Problems
• Mathematical formulation of L.P. Problems
• Feasible and infeasible regions
• Feasible and infeasible solutions
• Optimal feasible solutions
Unit VI: Probability
Chapter 1: Probability
• Conditional probability
• Multiplication theorem on probability
• Independent events, total probability
• Baye’s theorem
• Random variable and its probability distribution
• Mean and variance of random variable
Chapter 1: Relations and Functions
Types of relations:
• Reflexive
• Symmetric
• transitive and equivalence relations
• One to one and onto functions
• composite functions
• inverse of a function
• Binary operations
Chapter 2: Inverse Trigonometric Functions
• Definition, range, domain, principal value branch
• Graphs of inverse trigonometric functions
• Elementary properties of inverse trigonometric functions
Unit II: Algebra
Chapter 1: Matrices
• Operation on matrices: Addition and multiplication and multiplication with a scalar
• Simple properties of addition, multiplication and scalar multiplication
• Concept of elementary row and column operations
• Invertible matrices and proof of the uniqueness of inverse, if it exists;
Chapter 2: Determinants
• Ad joint and inverse of a square matrix
Unit III: Calculus
Chapter 1: Continuity and Differentiability
• Continuity and differentiability, derivative of composite functions, chain rule, derivatives of inverse trigonometric functions, derivative of implicit functions
• Concept of exponential and logarithmic functions.
• Derivatives of logarithmic and exponential functions
geometric interpretation
Chapter 2: Applications of Derivatives
• Applications of derivatives: rate of change of bodies, increasing/decreasing functions, tangents and normal, use of derivatives in approximation, maxima and minima
• Simple problems Chapter 3: Integrals
• Integration as inverse process of differentiation
• Integration of a variety of functions by substitution, by partial fractions and by parts
Evaluation of simple integrals of the following types and problems based on them
Definite integrals as a limit of a sum, Fundamental Theorem of Calculus
Basic properties of definite integrals and evaluation of definite integrals
Chapter 4: Applications of the Integrals
Applications in finding the area under simple curves, especially lines, circles/parabolas/ellipses
Area between any of the two above said curves (the region should be clearly identifiable)
Chapter 5: Differential Equations
Definition, order and degree, general and particular solutions of a differential equation
Formation of differential equation whose general solution is given
Solutions of linear differential equation of the type:
Unit IV: Vectors and Three-Dimensional Geometry
Chapter 1: Vectors
Vectors and scalars, magnitude and direction of a vector
Direction cosines and direction ratios of a vector
Chapter 2: Three – dimensional Geometry
Direction cosines and direction ratios of a line joining two points
Cartesian and vector equation of a plane
Angle between:
Two lines
Two planes
A line and a plane
Distance of a point from a plane
Unit V: Linear Programming
Chapter 1: Linear Programming
Introduction
Related terminology such as:
• Constraints
• Objective function
• Optimization
• Different types of linear programming (L.P.) Problems
• Mathematical formulation of L.P. Problems
• Feasible and infeasible regions
• Feasible and infeasible solutions
• Optimal feasible solutions
Unit VI: Probability
Chapter 1: Probability
• Conditional probability
• Multiplication theorem on probability
• Independent events, total probability
• Baye’s theorem
• Random variable and its probability distribution
• Mean and variance of random variable
ASIN : B092MS8Z2T
Publisher : Krishna Prakashan Media Pvt Ltd – Since 1942 (A Unit of THE KRISHNA GROUP) (14 April 2021)
Language : English
File size : 12993 KB
Text-to-Speech : Not enabled
Enhanced typesetting : Not Enabled
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