Mathematics 12 Mathematics 12

UNIT I: RELATIONS AND FUNCTIONS
  • inverse of a function, Binary operations
  • Inverse Trigonometrical Functions
  • Definition, range, domain, principal value branches. Graphs of inverse trigonometric functions
UNIT II: ALGEBRA
  • Concept, notation, order, equality
  • zero matrix, transpose of a matrix, symmetric and skew symmetric matrices
  • Addition, multiplication and scalar multiplication of matrices, simple properties of addition, multiplication and scalar multiplication
  • Non-commutativity of multiplication of matrices and existence of non-zero matrices whose product is the zero matrix (restrict to square matrices of order 2)
  • Concept of elementary row and column operations
  • Invertible matrices and proof of the uniqueness of inverse, if it exists; (Here all matrices will have real entries)
  • Determinant of a square matrix (up to 3 x 3 matrices)
  • minors, cofactors and applications of determinants in finding the area of a triangle
  • Adjoint and inverse of a square matrix
  • Consistency, inconsistency and number of solutions of system of linear equations by examples
  • solving system of linear equations in two or three variables (having unique solution) using inverse of a matrix
  • Cramer’s Rule and its applications
UNIT III: CALCULAS
  • Continuity and Differentiability
  • Continuity and differentialiabity
  • derivative of composite functions
  • chain rule
  • derivates of inverse trigonometric functions
  • derivate of implicit functions
  • concept of exponential and logarithmic functions to the base e
  • Logarithmic functions as inverse of exponential functions
  • lim 1/x, lim 1/x, lim (1+1/x)x, lim (1+x)1/x, lim log(1+x), lim ex-1 x->0 x-> à x-> à x->0 x->0 x x->0 x Derivatives of logarithmic and exponential functions
  • Logarithmic differentiation, derivative of functions expressed in parametric forms
  • Second order derivatives
  • Rolle’s and Lagranges’s Mean value theorems (without proof) and their geometric interpretation and simple applications
  • Derivatives, continuity, and differentiability
  • algebra of functions, rational
UNIT IV: VECTOR AND THREE-DIMENSIONAL GEOMETRY
  • Vectors
  • Vectors and scalars
  • magnitude and direction of a vector
  • Direction cosines/ratios of vectors
  • Types of vectors (equal, unit, zero, parallel and collinear vectors)
  • Position vector of a point
  • negative of a vector
  • components of a vector
  • addition of vectors
  • multiplication of a vector by a Scalar
  • position vector of a point dividing a line segment in a given ratio
  • Scalar (dot) product of vectors
  • projection of a vector on a line
  • Vector (cross) product of vectors
  • Three - dimensional Geometry
  • Direction cosines/ratios of a line joining two points
  • Cartesian and vector equation of a line
  • coplanar and skew lines
  • shortest distance between two lines
  • Cartesian and vector equation of a plane
  • Angle between (i) two lines (ii) two planes (iii) a line and a plane
  • Distance of a point from a plane
UNIT-V: LINEAR PROGRAMMING
  • Introduction
  • definition of related terminology such as constraints
  • objective function
  • optimization
  • different types of linear programming (L.P.) problems
  • mathematical formulation of L.P. problems
  • graphical method of solution for problems in two variables
  • feasible and infeasible regions
  • feasible and infeasible solutions
  • optimal feasible solutions (up to three non-trivial constraints)
UNIT VI: PROBABILITY
  • Multiplication theorem on probability Conditional probability
  • independent events
  • total probability
  • Random variable and its probability distribution mean and variance of random variable
  • Repeated independent (Bernoulli) trials and Binomial distribution
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