VITEEE Syllabus 2019 for Mathematics

VITEEE Syllabus 2019 for Mathematics

Matrices and their Applications

• Adjoint, inverse – properties, computation of inverses, solution of system of linear equations by matrix inversion method.
• Rank of a matrix – elementary transformation on a matrix, consistency of a system of linear equations, Cramer’s rule, non-homogeneous equations, homogeneous linear system and rank method.
• Solution of linear programming problems (LPP) in two variables.

Trigonometry and Complex Numbers

• Definition, range, domain, principal value branch, graphs of inverse trigonometric functions and their elementary properties.
• Complex number system – conjugate, properties, ordered pair representation.
• Modulus – properties, geometrical representation, polar form, principal value, conjugate, sum, difference, product, quotient, vector interpretation, solutions of polynomial equations, De Moivre’s theorem and its applications.
• Roots of a complex number – n^th roots, cube roots, fourth roots.

Analytical Geometry of two dimensions

• Definition of a conic – general equation of a conic, classification with respect to the general equation of a conic, classification of conics with respect to eccentricity.
• Equations of conic sections (parabola, ellipse and hyperbola) in standard forms and general forms- Directrix, Focus and Latus rectum – parametric form of conics and chords. – Tangents and normals – cartesian form and parametric form- equation of chord of contact of tangents from a point (x₁, y₁ ) to all the above said curves.
• Asymptotes, Rectangular hyperbola – Standard equation of a rectangular hyperbola.

Vector Algebra

• Scalar Product – angle between two vectors, properties of scalar product, applications of dot products. vector product, right handed and left handed systems, properties of vector product, applications of cross product.
• Product of three vectors – Scalar triple product, properties of scalar triple product, vector triple product, vector product of four vectors, scalar product of four vectors.

Analytical Geometry of Three Dimensions

• Direction cosines – direction ratios – equation of a straight line passing through a given point and parallel to a given line, passing through two given points, angle between two lines.
• Planes – equation of a plane, passing through a given point and perpendicular to a line, given the distance from the origin and unit normal, passing through a given point and parallel to two given lines, passing through two given points and parallel to a given line, passing through three given non-collinear points, passing through the line of intersection of two given planes, the distance between a point and a plane, the plane which contains two given lines (co-planar lines), angle between a line and a plane.
• Skew lines – shortest distance between two lines, condition for two lines to intersect, point of intersection, collinearity of three points.
• Sphere – equation of the sphere whose centre and radius are given, equation of a sphere when the extremities of the diameter are given.

Differential Calculus

• Limits, continuity and differentiability of functions – Derivative as a rate measurer – rate of change, velocity, acceleration, related rates, derivative as a measure of slope, tangent, normal and angle between curves, maxima and minima.
• Mean value theorem – Rolle’s Theorem, Lagrange Mean Value Theorem, Taylor’s and Maclaurin’s series, L’ Hospital’s Rule, stationary points, increasing, decreasing, maxima, minima, concavity, convexity and points of inflexion.
• Errors and approximations – absolute, relative, percentage errors – curve tracing, partial derivatives, Euler’s theorem.

Integral Calculus and its Applications

• Simple definite integrals – fundamental theorems of calculus, properties of definite integrals.
• Reduction formulae – reduction formulae for ∫ sin ⁿ x dx and ∫ cos ⁿ x dx , Bernoulli’s formula.
• Area of bounded regions, length of the curve.

Differential Equations

• Differential equations – formation of differential equations, order and degree, solving differential equations (1st order), variables separable, homogeneous and linear equations.
• Second order linear differential equations – second order linear differential equations with constant co-efficients, finding the particular integral if f (x) = e^mx, sin mx, cos mx, x, x².

Probability Distributions

• Probability – Axioms – Addition law – Conditional probability – Multiplicative law – Baye’s Theorem – Random variable – probability density function, distribution function, mathematical expectation, variance
• Theoretical distributions – discrete distributions, Binomial, Poisson distributions- Continuous distributions, Normal distribution.

Discrete Mathematics

• Functions – Relations – Basics of counting
• Mathematical logic – logical statements, connectives, truth tables, logical equivalence, tautology, contradiction.
• Groups – binary operations, semigroups, monoids, groups, order of a group, order of an element, properties of groups.

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