MATHEMATICS
PAPER – I
(1) Linear Algebra:
Vector spaces over R and C, linear
dependence and independence, subspaces, bases, dimension; Linear transformations,
rank and nullity, matrix of a linear transformation.
Algebra of Matrices; Row and column
reduction, Echelon form, congruence’s 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, meanvalue 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
integrals; Double and triple integrals (evaluation techniques only); 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 linear
equations with constant coefficients, complementary function, particular integral
and general solution. Second order linear equations with variable coefficients,
Euler-Cauchy equation; Determination of complete solution when one solution is
known using method of variation of parameters. Laplace and Inverse Laplace
transforms and their properties; Laplace
transforms of elementary functions. Application to initial value problems for
2nd order linear equations with constant coefficients.
(5) Dynamics & 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 equations. Application
to geometry: Curves in space, Curvature and torsion; Serret-Frenet’s formulae. Gauss
and Stokes’ theorems, Green’s identities.
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