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Mathematics Optional Syllabus for UPSC 2025

Complete syllabus guide for Mathematics Optional in UPSC Civil Services Examination. Master both papers with our comprehensive study material.

PAPER—I

1. Linear Algebra

  • Vector spaces over R and C, linear dependence and independence, subspaces, bases, dimensions
  • 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 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

2. 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 integral; Double and triple integrals
  • Areas, surface and volumes

3. 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

4. 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 liner equations with constant coefficients
  • Second order linear equations with variable coefficients, Euler-Cauchy equation
  • Method of variation of parameters
  • Laplace and Inverse Laplace transforms and their properties
  • Application to initial value problems for 2nd order linear equations

5. Dynamics and 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

6. 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 equation
  • Application to geometry: Curves in space, curvature and torsion
  • Serret-Furenet's formulae
  • Gauss and Stokes' theorems, Green's identities

PAPER—II

1. 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
  • Unique factorization domains; Fields, quotient fields

2. Real Analysis

  • Real number system as an ordered field with least upper bound property
  • Sequences, limit of a sequence, Cauchy sequence, completeness of real line
  • Series and its convergence, absolute and conditional convergence
  • Rearrangement of series of real and complex terms
  • 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
  • Partial derivatives of functions of several variables, maxima and minima

3. Complex Analysis

  • Analytic function, 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

4. Linear Programming

  • Linear programming problems, basic solution, basic feasible solution
  • Optimal solution; Graphical method and simplex method of solutions
  • Duality
  • Transportation and assignment problems

5. 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

6. Numerical Analysis and Computer Programming

  • Solution of algebraic and transcendental equations by various methods
  • Solution of system of linear equations by direct and iterative methods
  • Newton's interpolation methods
  • Numerical integration: Trapezoidal rule, Simpson's rule
  • Numerical solution of ordinary differential equations
  • Binary system and arithmetic operations
  • Octal and Hexadecimal Systems; Conversion methods
  • Boolean algebra and logic gates
  • Algorithms and flow charts for solving numerical problems

7. Mechanics and Fluid Dynamics

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

Recommended Study Resources

Essential Books

  • Linear Algebra by Hoffman and Kunze
  • Calculus by Thomas and Finney
  • Advanced Engineering Mathematics by Erwin Kreyszig
  • Complex Analysis by J.B. Conway
  • Real Analysis by H.L. Royden

Reference Materials

  • Abstract Algebra by Dummit and Foote
  • Numerical Analysis by Richard L. Burden
  • Linear Programming by G. Hadley
  • Mathematical Analysis by Tom M. Apostol
  • Vector Analysis by Murray R. Spiegel

Practice Materials

  • Previous Years' UPSC Mathematics Papers
  • NCERT Mathematics Books (Class 11th and 12th)
  • Mathematics Today Magazine
  • Online Practice Tests
  • Solved Problems in Higher Mathematics

Online Resources

  • NPTEL Mathematics Courses
  • MIT OpenCourseWare
  • Khan Academy Advanced Mathematics
  • Mathematical Programming Tutorials
  • Numerical Methods Online Resources