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## IIT-JEE MATHS SYLLABUS

JEE Main Maths Syllabus is usually set and released by the National Testing Agency (NTA) which is also in charge of overlooking the JEE Main examination and all the related things to it such as, releasing admit cards, announcing the results, and more. The latest JEE Main 2022 Syllabus for Maths has been announced by NTA and is similar to the last year. The syllabus mostly remains unchanged despite other changes, especially in the exam pattern. In any case, students can go through the JEE Main Maths syllabus and it will help them formulate a proper strategy for studying in an organized manner.

Each and every concept included in JEE Main syllabus for Maths is important and the questions could be expected from anywhere. Understanding JEE Main maths syllabus will help the engineering aspirants to develop a clear understanding of what concepts are to be prepared or avoided for better results in JEE Main. For mathematics, the most important thing that students need to have is rigorous practice. The more problems students practice, the better they will be in solving questions with accuracy and speed.

• Sets and their representation.
• Union, intersection, and complement of sets and their algebraic properties.
• Powerset.
• Relation, Types of relations, equivalence relations.
• Functions; one-one, into and onto functions, the composition of functions.

• Complex numbers as ordered pairs of reals.
• Representation of complex numbers in the form (a+ib) and their representation in a plane, Argand diagram.
• Algebra of complex numbers, modulus and argument (or amplitude) of a complex number, square root of a complex number.
• Triangle inequality.
• Quadratic equations in real and complex number system and their solutions.
• The relation between roots and coefficients, nature of roots, the formation of quadratic equations with given roots.

• Matrices: Algebra of matrices, types of matrices, and matrices of order two and three.
• Determinants: Properties of determinants, evaluation of determinants, the area of triangles using determinants.
• Adjoint and evaluation of inverse of a square matrix using determinants and elementary transformations.
• Test of consistency and solution of simultaneous linear equations in two or three variables using determinants and matrices.

• The fundamental principle of counting.
• Permutation as an arrangement and combination as a selection.
• The meaning of P (n,r) and C (n,r). Simple applications.

The principle of Mathematical Induction and its simple applications.

• Binomial theorem for a positive integral index.
• General term and middle term.
• Properties of Binomial coefficients and simple applications.

• Arithmetic and Geometric progressions, insertion of arithmetic.
• Geometric means between two given numbers.
• The relation between A.M. and G.M.
• Sum up to n terms of special series: Sn, Sn2, Sn3.
• Arithmetico Geometric progression.

• Real-valued functions, algebra of functions, polynomials, rational, trigonometric, logarithmic and exponential functions, inverse functions.
• Graphs of simple functions.
• Limits, continuity, and differentiability.
• Differentiation of the sum, difference, product, and quotient of two functions.
• Differentiation of trigonometric, inverse trigonometric, logarithmic, exponential, composite and implicit functions; derivatives of order up to two.
• Rolle’s and Lagrange’s Mean Value Theorems.
• Applications of derivatives: Rate of change of quantities, monotonic increasing and decreasing functions, Maxima, and minima of functions of one variable, tangents, and normals.

S• Integral as an antiderivative.
• Fundamental integrals involving algebraic, trigonometric, exponential and logarithmic functions.

• Integration by substitution, by parts, and by partial fractions.
• Integration using trigonometric identities.
• Integral as limit of a sum.
• Evaluation of simple integrals:
• Fundamental Theorem of Calculus.
• Properties of definite integrals, evaluation of definite integrals, determining areas of the regions bounded by simple curves in standard form.

• Ordinary differential equations, their order, and degree.
• Formation of differential equations.
• The solution of differential equations by the method of separation of variables.
• The solution of homogeneous and linear differential equations of the type:

• Cartesian system of rectangular coordinates in a plane, distance formula, section formula, locus, and its equation, translation of axes, the slope of a line, parallel and perpendicular lines, intercepts of a line on the coordinate axes.
• Straight lines: Various forms of equations of a line, intersection of lines, angles between two lines, conditions for concurrence of three lines.
• Distance of a point from a line, equations of internal and external bisectors of angles between two lines,
coordinates of the centroid, orthocentre, and circumcentre of a triangle, equation of the family of lines passing through the point of intersection of two lines.
• Circles, conic sections: Standard form of the equation of a circle, the general form of the equation of a circle, its radius and centre, equation of a circle when the endpoints of a diameter are given, points of intersection of a line and a circle with the centre at the origin and condition for a line to be tangent to a circle, equation of the tangent.
• Sections of cones, equations of conic sections (parabola, ellipse, and hyperbola) in standard forms, condition for y = mx + c to be a tangent and point (s) of tangency.

• Coordinates of a point in space, the distance between two points.
• Section formula, direction ratios and direction cosines, the angle between two intersecting lines.
• Skew lines, the shortest distance between them and its equation.
• Equations of a line and a plane in different forms, the intersection of a line and a plane, coplanar lines.

• Scalars and Vectors. Addition, subtraction, multiplication and division of vectors.
• Vector’s Components in 2D and 3D space.
• Scalar products and vector products, triple product.

• Measures of Dispersion: Calculation of mean, mode, median, variance, standard deviation, and mean deviation of ungrouped and grouped data.

• Probability: Probability of events, multiplication theorems, addition theorems, Baye’s theorem, Bernoulli trials, Binomial distribution and probability distribution.

• Identities of Trigonometry and Trigonometric equations.
• Functions of Trigonometry.
• Properties of Inverse trigonometric functions.
• Problems on Heights and Distances.

• Statements and logical operations: or, and, implied by, implies, only if and if.
• Understanding of contradiction, tautology, contrapositive and converse.