# [CBSE] Maths syllabus class 12 (2022-23)

Looking for syllabus of Maths class 12 CBSE Board for 2022-23 session.

We have summed up the syllabus in detail.

## CBSE class 12 Mathematics syllabus for 2022-23

One Paper 80 Marks Time 3 Hours

Internal Assessment – 20 Marks

No. | Units | Marks |

1 | Relations and Functions | 8 |

2 | Algebra | 10 |

3 | Calculus | 35 |

4 | Vectors and Three – Dimensional Geometry | 14 |

5 | Linear Programming | 5 |

6 | Probability | 08 |

Total | 80 | |

Internal Assessment | 20 | |

Final Total | 100 |

**Unit-I: Relations and Functions**

**Relations and Functions**

Types of relations: reflexive, symmetric, transitive and equivalence relations. One to one and onto

functions, composite functions, inverse of a function.

Inverse Trigonometric Functions

Definition, range, domain, principal value branch. Graphs of inverse trigonometric functions

Elementary properties of inverse trigonometric functions.

**Unit-II: Algebra**

**Matrices**

Concept, notation, order, equality, types of matrices, zero and identity matrix, transpose of a matrix,

symmetric and skew symmetric matrices. Operation on matrices: Addition and multiplication and

multiplication with a scalar. Simple properties of addition, multiplication and scalar multiplication. Oncommutativity 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).

**Determinants**

Determinant of a square matrix (up to 3 x 3 matrices), properties of determinants, minors, co-factors

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.

**Unit-III: Calculus**

**Continuity and Differentiability**

Continuity and differentiability, derivative of composite functions, chain rule, derivative of inverse

trigonometric functions, derivative of implicit functions. Concept of exponential and logarithmic

functions.

Derivatives of logarithmic and exponential functions. Logarithmic differentiation, derivative of

functions expressed in parametric forms. Second order derivatives. Rolle’s and Lagrange’s Mean

Value Theorems (without proof) and their geometric interpretation.

**Applications of Derivatives**

Applications of derivatives: rate of change of bodies, increasing/decreasing functions, tangents and

normals, use of derivatives in approximation, maxima and minima (first derivative test motivated

geometrically and second derivative test given as a provable tool). Simple problems (that illustrate

basic principles and understanding of the subject as well as real-life situations).

**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 (without proof).Basic properties of definite integrals and evaluation of definite integrals.

**Applications of the Integrals**

Applications in finding the area under simple curves, especially lines, circles/ parabolas/ellipses (in

standard form only), Area between any of the two above said curves (the region should be clearly

identifiable).

Differential Equations

Definition, order and degree, general and particular solutions of a differential equation. Formation of

differential equation whose general solution is given. Solution of differential equations by method of

separation of variables, solutions of homogeneous differential equations of first order and first degree.

Solutions of linear differential equation of the type:

**Unit-IV: Vectors and Three-Dimensional Geometry**

**Vectors**

Vectors and scalars, magnitude and direction of a vector. Direction cosines and direction ratios of a vector. 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. Definition, Geometrical Interpretation, properties and application of scalar (dot) product of vectors, vector (cross) product of vectors, scalar triple product of vectors.

**Three – dimensional Geometry**

Direction cosines and direction ratios of a line joining two points. Cartesian equation 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**

**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, graphical method

of solution for problems in two variables, feasible and infeasible regions (bounded or unbounded),

feasible and infeasible solutions, optimal feasible solutions (up to three non-trivial constraints).

**Unit-VI: Probability**

**Probability**

Conditional probability, multiplication theorem on probability, independent events, total probability,

Bayes’ theorem, Random variable and its probability distribution, mean and variance of random

variable. Binomial probability distribution.

Internal Assessment | 20 Marks |

Periodic Tests ( Best 2 out of 3 tests conducted) | 10 Marks |

Mathematics Activities | 10 Marks |