Mathematics 12 Mathematics 12

CHAPTER I: RELATIONS AND FUNCTIONS
CHAPTER II: INVERSE TRIGONOMETRICAL FUNCTIONS
  • Definition, range, domain, principal value branches
  • Graphs of inverse trigonometric functions
CHAPTER III: MATRICES
  • 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
CHAPTER IV: DETERMINANTS
  • Determinant of a square matrix (up to 3 x 3 matrices), properties of determinants, 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
CHAPTER VI: APPLICATIONS OF DERIVATIVE
  • Geometrical application-tangent and normal at a point
  • Rolle’s theorem
  • Mean value theorem and their geometrical interpretation (without proof)
  • Derivative as a rate measure-introduction
  • Approximation (without proof)
  • Maxima and minimaintroduction of extrema and extreme values
  • First derivative test, second derivative test
CHAPTER VIII: APPLICATIONS OF DEFINITE INTEGRAL
  • Area under the curve : area bounded by curve and axis (simple problems), area bounded by two curves
  • Volume of solid of revolution-volume of solid obtained by revolving the area under the curve about the axis (simple problems)
CHAPTER IX: DIFFERENTIAL EQUATION
  • Definition-differential equation, order, degree, general solution, particular solution of differential equation, formation of differential equation-formation of differential equation by eliminating arbitary constants (at most two constants)
  • Solution of first order and first degree differential equation-variable separable method, homogeneous differential equation (equation reducible to homogeneous form are not expected)
  • Linear differential equation
  • Applications : population growth, bacterial colony growth, surface area, Newton’s laws of cooling, radioactive decay
CHAPTER X: VECTORS ALGEBRA
  • 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
CHAPTER XI: THREE-DIMENSIONAL GEOMETRY
CHAPTER XII: 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)
CHAPTER XIII: PROBABILITY
  • Multiplication theorem on probability Conditional probability
  • Independent events
  • Total probability
  • Repeated independent (Bernoulli) trials and Binomial distribution