PGTRB Mathematics New Updated Syllabus 2025

PGTRB Mathematics Syllabus 2025 – Complete Breakdown

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This image is intended to inform PGTRB Mathematics aspirants about the complete 2025 syllabus, highlighting unit-wise topics to help structure their exam preparation.

Unit I: Algebra

  • Groups: Cyclic Groups, Permutation Groups, Lagrange’s theorem, Normal subgroups, Homomorphism, Cayley’s theorem, Cauchy’s theorem, Sylow’s theorems, Finite Abelian Groups
  • Rings: Integral Domain, Field, Ring Homomorphism, Ideals and Quotient Rings, Field of Quotients, Euclidean Rings, Polynomial Rings, Unique Factorization Domain
  • Fields: Extension fields, Galois theory, Finite fields
  • Vector Spaces: Bases, Dual spaces, Inner product spaces, Linear transformations, Rank, Characteristic roots, Canonical forms, Jordan form, Quadratic forms, Hermitian, Unitary, Normal transformations

Unit II: Real Analysis

  • Set theory, Countable and uncountable sets, Real number system, Archimedean Property
  • Sequences and Series: Convergence, Supremum/Infimum, Limit theorems, Continuity, Uniform Continuity, Differentiability, Mean Value Theorem
  • Series of functions: Uniform convergence, Continuity, Integration, Differentiation
  • Riemann–Stieltjes integral: Definition, Properties, Integration of vector functions
  • Power Series and Fourier Series
  • Functions of several variables: Directional & Partial derivatives, Inverse & Implicit function theorems

Unit III: Topology

  • Topological spaces: Basis, Order, Product, Subspace Topologies
  • Closed sets, Limit points, Continuous functions, Box and Product Topologies
  • Connectedness, Compactness, Local Compactness
  • Countability and Separation Axioms
  • Normal spaces: Urysohn Lemma, Urysohn Metrization Theorem, Tietze Extension Theorem

Unit IV: Complex Analysis

  • Analytic Functions: Limits, Continuity, Power Series, Conformality, Mapping, Linear transformations
  • Complex Integration: Line integrals, Cauchy’s Theorem and Integral Formula, Index of a point, Taylor’s theorem, Zeros and Poles, Maximum Modulus Principle

Unit V: Functional Analysis

  • Banach Spaces: Definitions, Inequalities, Linear transformations, Hahn-Banach Theorem, Open Mapping, Closed Graph Theorem
  • Hilbert Spaces: Orthonormal bases, Adjoint of operators, Spectral Theorem
  • Matrices and Operators: Determinants, Spectral radius, Regular and Singular elements, Banach Algebra

Unit VI: Differential Geometry

  • Curves and Surfaces: Frenet formulas, Curvature, Helices, Surfaces of revolution
  • Geometric Concepts: Gaussian curvature, Fundamental forms, Isometry, Geodesics, Indicatrix, Dupin’s Theorem

Unit VII: Differential Equations

Ordinary Differential Equations:

  • Linear equations (constant & variable coefficients), Wronskian, Non-homogeneous equations, Initial value problems
  • Special equations: Legendre, Bessel, Hermite
  • Existence and Uniqueness, Exact equations, Lipschitz condition

Partial Differential Equations:

  • Lagrange and Charpit Methods
  • Classification and Solution of Second Order PDEs
  • Separation of Variables: Laplace, Heat, Wave equations (2D)

Unit VIII: Classical Mechanics and Numerical Analysis

Classical Mechanics:

  • Generalized Coordinates, Lagrange’s Equations, Hamilton’s Equations, Canonical transformations, Poisson brackets

Numerical Analysis:

  • Numerical solutions of equations: Iteration, Newton-Raphson
  • Linear equations: Gauss Elimination, Gauss-Seidel
  • Interpolation: Lagrange, Hermite, Spline
  • Numerical differentiation & integration
  • ODE Solvers: Picard, Euler, Modified Euler, Runge-Kutta

Unit IX: Operations Research

  • Linear Programming: Simplex, Duality, Revised Simplex
  • Integer & Dynamic Programming, Non-linear Programming
  • Network Analysis: Max Flow-Min Cut
  • Queuing Theory: M/M/1, M/M/C, M/G/1 models
  • Inventory Models: Deterministic, Single Price Break

Unit X: Probability Theory

  • Probability Basics: Sample space, Bayes’ Theorem, Random Variables, Distribution Functions
  • Expectations, Moments, Characteristic Functions, Inequalities (Chebyshev, Markov)
  • Convergence, Law of Large Numbers, Central Limit Theorem (i.i.d)
  • Distributions: Binomial, Poisson, Normal, Exponential, Gamma, Beta, Cauchy
  • Sampling Distributions: t, F, Chi-square, ANOVA, Large Sample Tests

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