This is the syllabus for Mathematics GATE
Section 1: Linear Algebra
Algebra of matrices; Inverse and rank of a matrix; System of linear equations; Symmetric,
skew-symmetric and orthogonal matrices; Determinants; Eigenvalues and eigenvectors;
Diagonalisation of matrices; Cayley-Hamilton Theorem.
Section 2: Calculus
Functions of single variable: Limit, continuity and differentiability; Mean value theorems;
Indeterminate forms and L'Hospital's rule; Maxima and minima; Taylor's theorem;
Fundamental theorem and mean value-theorems of integral calculus; Evaluation of
definite and improper integrals; Applications of definite integrals to evaluate areas and
Functions of two variables: Limit, continuity and partial derivatives; Directional derivative;
Total derivative; Tangent plane and normal line; Maxima, minima and saddle points;
Method of Lagrange multipliers; Double and triple integrals, and their applications.
Sequence and series: Convergence of sequence and series; Tests for convergence;
Power series; Taylor's series; Fourier Series; Half range sine and cosine series.
Section 3: Vector Calculus
Gradient, divergence and curl; Line and surface integrals; Green's theorem, Stokes
theorem and Gauss divergence theorem (without proofs).
Section 4: Complex variables
Analytic functions; Cauchy-Riemann equations; Line integral, Cauchy's integral theorem
and integral formula (without proof); Taylor's series and Laurent series; Residue theorem
(without proof) and its applications.
Section 5: Ordinary Differential Equations
First order equations (linear and nonlinear); Higher order linear differential equations with
constant coefficients; Second order linear differential equations with variable
coefficients; Method of variation of parameters; Cauchy-Euler equation; Power series
solutions; Legendre polynomials, Bessel functions of the first kind and their properties.
Section 6: Partial Differential Equations
Classification of second order linear partial differential equations; Method of separation
of variables; Laplace equation; Solutions of one dimensional heat and wave equations.
Section 7: Probability and Statistics
Axioms of probability; Conditional probability; Bayes' Theorem; Discrete and continuous
random variables: Binomial, Poisson and normal distributions; Correlation and linear
Section 8: Numerical Methods
Solution of systems of linear equations using LU decomposition, Gauss elimination and
Gauss-Seidel methods; Lagrange and Newton's interpolations, Solution of polynomial and
transcendental equations by Newton-Raphson method; Numerical integration by
trapezoidal rule, Simpson's rule and Gaussian quadrature rule; Numerical solutions of first
order differential equations by Euler's method
Hello Aspirant ,
The syllabus is as following
Matrix Algebra, Systems of linear equations, Eigen values and eigen vectors.
Mean value theorems, Theorems of integral calculus, Evaluation of definite and improper integrals, Partial Derivatives, Maxima and minima, Multiple integrals, Fourier series. Vector identities, Directional derivatives, Line, Surface and Volume integrals, Stokes, Gauss and Green’s theorems.
First order equation (linear and nonlinear), Higher order linear differential equations with constant coefficients, Method of variation of parameters, Cauchy’s and Euler’s equations, Initial and boundary value problems, PartialDifferential Equations, Method of separation of variables
Analytic functions, Cauchy’s integral theorem and integral formula, Taylor’s and Laurent’ series, Residue theorem, solution integrals.
Probability and Statistics:
Sampling theorems, Conditional probability, Mean, median, mode and standard deviation, Random variables, Discrete and continuous distributions, Poisson, Normal and Binomial distribution, Correlation and regression analysis.
Solutions of non-linear algebraic equations, single and multi-step methods for differential equations.
Fourier transform, Laplace transform, Z-transform.
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