UPSC Maths Syllabus 2027 - Check Detailed UPSC Maths syllabus PDF

Linear Algebra

Vector spaces over R and C, linear dependence and independence, subspaces, bases, dimension; linear transformations, rank and nullity, matrix of a linear transformation. Algebra of Matrices; row and column reduction, echelon form, congruence and similarity; rank of a matrix; inverse of a matrix; solution of a system of linear equations; eigenvalues and eigenvectors, characteristic polynomial, Cayley-Hamilton theorem, symmetric, skew-symmetric, Hermitian, skew-Hermitian, orthogonal and unitary matrices and their eigenvalues

Calculus

Real numbers, functions of a real variable, limits, continuity, differentiability, mean value theorem, Taylor’s theorem with remainders, indeterminate forms, maxima and minima, asymptotes; curve tracing; functions of two or three variables: limits, continuity, partial derivatives, maxima and minima, Lagrange’s method of multipliers, Jacobian. Riemann’s definition of definite integrals, indefinite integrals, infinite and improper integrals, double and triple integrals (evaluation techniques only); areas, surface and volumes.

Analytic Geometry

Cartesian and polar coordinates in three dimensions, second degree equations in three variables, reduction to canonical forms, straight lines, shortest distance between two skew lines; plane, sphere, cone, cylinder, paraboloid, ellipsoid, hyperboloid of one and two sheets and their properties.

Ordinary Differential Equations

Formulation of differential equations; equations of first order and first degree, integrating factor; orthogonal trajectory; equations of first order but not of first degree, Clairaut’s equation, singular solution. Second and higher order linear equations with constant coefficients, complementary function, particular integral and general solution. Second-order linear equations with variable coefficients, Euler-Cauchy equation; determination of the complete solution when one solution is known using the method of variation of parameters. Laplace and inverse Laplace transforms and their properties; Laplace transforms of elementary functions. Application to initial value problems for 2nd order linear equations with constant coefficients.

Dynamics & Statics

Rectilinear motion, simple harmonic motion, motion in a plane, projectiles; constrained motion; work and energy, conservation of energy; Kepler’s laws, orbits under central forces. Equilibrium of a system of particles; work and potential energy, friction; common catenary; principle of virtual work; stability of equilibrium, equilibrium of forces in three dimensions.

Vector Analysis:

Scalar and vector fields, differentiation of vector field of a scalar variable; gradient, divergence and curl in cartesian and cylindrical coordinates; higher order derivatives; vector identities and vector equations. Application to geometry: curves in space, curvature and torsion; Serret-Frenet’s formulae. Gauss and Stokes’ theorems, Green’s identities.

Algebra

Groups, subgroups, cyclic groups, cosets, Lagrange’s Theorem, normal subgroups, quotient groups, homomorphism of groups, basic isomorphism theorems, permutation groups, Cayley’s theorem. Rings, subrings and ideals, homomorphisms of rings; integral domains, principal ideal domains, Euclidean domains and unique factorisation domains; fields, quotient fields.

Real Analysis

Real number system as an ordered field with the least upper bound property; sequences, limit of a sequence, Cauchy sequence, completeness of the real line; series and its convergence, absolute and conditional convergence of series of real and complex terms, rearrangement of series. Continuity and uniform continuity of functions, properties of continuous functions on compact sets. Riemann integral, improper integrals; fundamental theorems of integral calculus. Uniform convergence, continuity, differentiability and integrability for sequences and series of functions; partial derivatives of functions of several (two or three) variables, maxima and minima.

Complex Analysis

Analytic functions, Cauchy-Riemann equations, Cauchy’s theorem, Cauchy’s integral formula, power series representation of an analytic function, Taylor’s series, singularities, Laurent’s series, Cauchy’s residue theorem, contour integration.

Linear Programming

Linear programming problems, basic solution, basic feasible solution and optimal solution; graphical method and simplex method of solutions; duality. Transportation and assignment problems.

Partial differential equations

Family of surfaces in three dimensions and formulation of partial differential equations; solution of quasilinear partial differential equations of the first order, Cauchy’s method of characteristics; Linear partial differential equations of the second order with constant coefficients, canonical form; equation of a vibrating string, heat equation, Laplace equation and their solutions.

Numerical Analysis and Computer Programming

Numerical methods: solution of algebraic and transcendental equations of one variable by bisection, Regula-Falsi and Newton-Raphson methods; solution of systems of linear equations by Gaussian elimination and Gauss-Jordan (direct), Gauss-Seidel(iterative) methods. Newton’s (forward and backwards) interpolation, Lagrange’s interpolation. Numerical integration: Trapezoidal rule, Simpson’s rules, and Gaussian quadrature formula. Numerical solution of ordinary differential equations: Euler and RungeKutta methods. Computer Programming: Binary system; Arithmetic and logical operations on numbers; Octal and Hexadecimal systems; Conversion to and from decimal systems; Algebra of binary numbers. Algorithms and flow charts for solving numerical analysis problems. Elements of computer systems and concept of memory; Basic logic gates and truth tables, Boolean algebra, normal forms. Representation of unsigned integers, signed integers and reals, double precision reals and long integers.

Mechanics and Fluid Dynamics

Moment of inertia; Motion of rigid bodies in two dimensions. Generalised coordinates; D’ Alembert’s principle and Lagrange’s equations; Hamilton equations; Equation of continuity; Euler’s equation of motion for inviscid flow; Streamlines, path of a particle; Potential flow; Sources and sinks, Two-dimensional and axisymmetric motion; vortex motion; Navier-Stokes equation for a viscous fluid.

Topics

Name of Books

Author/Publishers

Analytic Geometry

Analytical Solid Geometry

Shanti Narayan and P K Mittal

Solid Geometry

P N Chatterjee

Calculus

Mathematical Analysis

S C Malik and Savita Arora

Elements Of Real Analysis

Shanti Narayan and M D Raisinghania

Linear Algebra

Schaum Series

Seymour Lipschutz

Linear Algebra

Hoffman and Kunze

Dynamics And Statics

Me Statics & Dynamics

Vasishtha

Ordinary Differential Equations (ODE)

Ordinary And Partial Differential Equations

M D Raisinghania

Vector Analysis

Schaum Series

Murray R. Spiegel

Topics

Name of the Books

Author/ Publisher

Complex Analysis

Complex Variable (Schaum's Outlines

Spiegel, Lipschitz, Schiller, Spellman

Real Analysis

Elements Of Real Analysis

Shanti Narayan and M D Raisinghania

Algebra

Contemporary Abstract Algebra

Joseph Gallian

Partial Differential Equations

Advanced Differential Equations

M D Raisinghania

Linear Programming

Linear Programming And Game Theory

Lakshmishree Bandopadhyay

Mechanics And Fluid Dynamics

Fluid Dynamics

Krishna Prakashan

Numerical Analysis And Computer Programming

Computer-Based Numerical And Statistical Techniques

M.Goyal

Numerical Methods

Jain, Iyengar, and Jain

Digital Logic and Computer Design

M. Morris Mano