Mathematics

šŸ“ PG TRB Mathematics – Unit-wise Syllabus

šŸ“˜ Unit 1 – Algebra

Groups: subgroups, cyclic & permutation groups, homomorphisms, Lagrange, Cauchy & Sylow theorems, classification of finite abelian groups.
Rings & fields: ideals, quotient rings, ring homomorphisms, Euclidean & polynomial rings, UFDs, field of fractions; extension fields & basics of Galois theory; finite fields.
Linear algebra: vector spaces, basis & dimension, linear maps & rank–nullity, eigenvalues/eigenvectors; diagonal/triangular/Jordan forms; nilpotent maps; inner-product spaces; quadratic forms; Hermitian/unitary/normal operators.

šŸ“ Take Test

šŸ“˜ Unit 2 – Real Analysis

Sets & completeness of ā„, supremum/infimum, sequences & series (lim sup/lim inf), Bolzano–Weierstrass, Heine–Borel; continuity, uniform continuity, differentiability & mean value theorems; uniform convergence of sequences/series of functions; Riemann–Stieltjes integral & its properties; power series & Fourier series; multivariable calculus: directional/partial derivatives, derivative as linear map, inverse & implicit function theorems.

šŸ“ Take Test

šŸ“˜ Unit 3 – Topology

Topological spaces, bases & subspaces; product & order topologies; closed sets & limit points; continuous maps; connectedness & components; compactness (Heine–Borel, local & limit-point compactness); countability axioms; separation axioms (T1–T4), normal spaces; Urysohn lemma, Tietze extension theorem, metrization ideas.

šŸ“ Take Test

šŸ“˜ Unit 4 – Complex Analysis

Analytic functions; power-series expansions (Maclaurin), uniform convergence & Abel’s theorem; conformal mappings, Mƶbius transforms & cross-ratio; complex integration & Cauchy’s theorems; Cauchy integral formula; Taylor series & zeros; isolated singularities & residues; maximum modulus principle & applications.

šŸ“ Take Test

šŸ“˜ Unit 5 – Functional Analysis

Banach spaces: Hƶlder & Minkowski, continuous linear maps, Hahn–Banach, natural embedding, open mapping & closed graph theorems; dual operators.
Hilbert spaces: orthonormal sets/bases, adjoint & projections, basic spectral facts in finite dimension.
Banach algebras: spectrum, spectral radius, radical & semisimplicity.

šŸ“ Take Test

šŸ“˜ Unit 6 – Differential Geometry

Space curves: Serret–Frenet formulas, curvature/torsion, intrinsic equations, helices, spherical indicatrix.
Surfaces: first/second fundamental forms, Gaussian/mean curvature, surfaces of revolution & helicoids, isometries; Meusnier & Euler theorems; lines of curvature & asymptotic lines; Dupin’s indicatrix; developables; geodesics & conjugate points.

šŸ“ Take Test

šŸ“˜ Unit 7 – Differential Equations

ODEs: linear equations (constant/variable coefficients), Wronskian, nonhomogeneous equations; regular singular points; special equations—Legendre, Bessel, Hermite; existence & uniqueness (Lipschitz).
PDEs: first-order (Lagrange & Charpit); classification of second-order PDEs; higher-order with constant coefficients; separation of variables for Laplace/Heat/Wave (up to 2D).

šŸ“ Take Test

šŸ“˜ Unit 8 – Classical Mechanics & Numerical Analysis

Mechanics: generalized coordinates; Lagrange’s equations; Hamilton’s equations & principle of least action; canonical transformations; generating functions; Poisson & Lagrange brackets.
Numerical: roots (iteration, Newton–Raphson); linear systems (Gauss, Gauss–Seidel); finite differences; interpolation (Lagrange, Hermite, splines); numerical differentiation/integration; ODE solvers (Picard, Euler, modified Euler, Runge–Kutta).

šŸ“ Take Test

šŸ“˜ Unit 9 – Operations Research

Linear programming & simplex (primal/dual/dual-simplex/revised); integer programming; dynamic & nonlinear programming; network analysis, max-flow/min-cut; queueing models (M/M/1, M/M/c, limited space, M/G/1); inventory models (deterministic, with/without shortages, price break).

šŸ“ Take Test

šŸ“˜ Unit 10 – Probability & Statistics

Probability: independence, Bayes; random variables & distributions (binomial, Poisson, uniform, normal, exponential, gamma, beta, Cauchy); expectation, moments, MGFs/characteristic functions; inequalities (Markov, Chebyshev, Jensen); convergence; LLN & CLT.
Statistics: standard errors; sampling distributions (t, F, χ²) & applications; hypothesis testing (large-sample tests), ANOVA.

šŸ“ Take Test

šŸ  Home