Check out the latest GATE Syllabus for Mathematics Engineering (MA). Mathematics subject is one of the papers in GATE 2021 Exam. Earlier we’ve provided GATE Exam pattern 2021, Now we are providing GATE Syllabus 2021 of Mathematics Paper. MA is the subject code of GATE Mathematics Exam. Below we’ve provided GATE Engineering Mathematics Syllabus and weightage for GATE 2021 Exam. Here you can see Mathematics applicable chapters and topics for GATE exam 2021.
Content in this Article
GATE Engineering Mathematics Syllabus
On, this page scholars will get the Syllabus regarding the GATE Engineering Mathematics Syllabus.
GATE Paper Pattern & Marks Weightage
GATE paper questions are divided into three sections. As given below GATE marks are distributed for each section. 70% of the marks covers the core subject of the GATE Exam. i.e here Core Subject is Mathematics.
GATE 2018 – 2020 Paper Pattern for Mathematics (MA)
|GATE Paper Sections||GATE Marks Distribution|
|Subject Questions (Core Subject)||70% of the total marks.|
|Engineering Mathematics||15% of the total marks.|
|General Aptitude (GA)||15% of the total marks.|
GATE Engineering Mathematics Syllabus (MA)
The GATE exam will also have General Aptitude section. General Aptitude section is common for all papers. You can download the GATE 2021 Syllabus for General Aptitude (GA) in PDF or you can check
GATE GENERAL APTITUDE (GA) SYLLABUS (FULL DETAILS)
GATE 2020 Syllabus pdf Syllabus for Mathematics
|General Aptitude Syllabus (Common to all papers)||Download|
|GATE Syllabus for Mathematics (MA)||Download|
Syllabus for Mathematics (MA)
Linear Algebra: Finite dimensional vector spaces; Linear transformations and their matrix representations, rank; systems of linear equations, eigen values and eigen vectors, minimal polynomial, Cayley-Hamilton Theorem, diagonalisation, Hermitian, Skew-Hermitian and unitary matrices; Finite dimensional inner product spaces, Gram-Schmidt orthonormalization process, self-adjoint operators.
Complex Analysis: Analytic functions, conformal mappings, bilinear transformations; complex integration: Cauchy’s integral theorem and formula; Liouville’s theorem, maximum modulus principle; Taylor and Laurent’s series; residue theorem and applications for evaluating real integrals.
Real Analysis: Sequences and series of functions, uniform convergence, power series, Fourier series, functions of several variables, maxima, minima; Riemann integration, multiple integrals, line, surface and volume integrals, theorems of Green, Stokes and Gauss; metric spaces, completeness, Weierstrass approximation theorem, compactness; Lebesgue measure, measurable functions; Lebesgue integral, Fatou’s lemma, dominated convergence theorem.
Ordinary Differential Equations: First order ordinary differential equations, existence and uniqueness theorems, systems of linear first order ordinary differential equations, linear ordinary differential equations of higher order with constant coefficients; linear second order ordinary differential equations with variable coefficients; method of Laplace transforms for solving ordinary differential equations, series solutions; Legendre and Bessel functions and their orthogonality.
Algebra: Normal subgroups and homomorphism theorems, automorphisms; Group actions, Sylow’s theorems, and their applications; Euclidean domains, Principle ideal domains and unique factorization domains. Prime ideals and maximal ideals in commutative rings; Fields, finite fields.
Functional Analysis: Banach spaces, Hahn-Banach extension theorem, open mapping and closed graph theorems, principle of uniform boundedness; Hilbert spaces, orthonormal bases, Riesz representation theorem, bounded linear operators.
Numerical Analysis: Numerical solution of algebraic and transcendental equations: bisection, secant method, Newton-Raphson method, fixed point iteration; interpolation: error of polynomial interpolation, Lagrange, Newton interpolations; numerical differentiation; numerical integration: Trapezoidal and Simpson rules, Gauss Legendre quadrature, method of undetermined parameters; least square polynomial approximation; numerical solution of systems of linear equations: direct methods (Gauss elimination, LU decomposition); iterative methods (Jacobi and Gauss-Seidel); matrix eigenvalue problems: power method, numerical solution of ordinary differential equations: initial value problems: Taylor series methods, Euler’s method, Runge-Kutta methods.
Partial Differential Equations: Linear and quasilinear first order partial differential equations, method of characteristics; second order linear equations in two variables and their classification; Cauchy, Dirichlet and Neumann problems; solutions of Laplace, wave and diffusion equations in two variables; Fourier series and Fourier transform and Laplace transform methods of solutions for the above equations.
Topology: Basic concepts of topology, product topology, connectedness, compactness, countability and separation axioms, Urysohn’s Lemma.
Calculus: Functions of two or more variables, continuity, partial derivatives, directional derivatives, Maxima and Minima, saddle point, Methods of Lagrange’s multipliers, Double and Triple Integrals and their applications to area, Volume and Surface area, gradient, divergence, and curl, Line integrals, and Surface integrals, Green’s theorem, Stoke’s theorem, and Gauss divergence theorem.
In this article, we are providing the necessary information about the GATE exam pattern and GATE Engineering Mathematics Syllabus.