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Mathematics Polytechnic TRB

Polytechnic TRB Mathematics Syllabus

UNIT 1: REAL ANALYSIS

Ordered sets – Fields – Real field – The extended real number system – The complex  field- Euclidean space – Finite, Countable and uncountable sets – Limits of functions  – Continuous functions – Continuity and compactness – Continuity and  connectedness – Discontinuities – Monotonic functions – Equi-continuous families of  functions, Stone – Weierstrass theorem – Cauchy sequences – Some special  sequences – Series – Series of nonnegative terms – The number e – The root and ratio  tests – Power series – Summation by parts – Absolute convergence – Addition and  multiplication of series – Rearrangements, The Derivative of a Real Function – Mean  Value Theorem – The Continuity of Derivatives – L’Hospital’s Rule – Derivatives of  Higher Order – Taylor’s Theorem – Differentiation of Vector valued functions – Some  Special Functions – Power Series – The Exponential and Logarithmic functions – The  Trigonometric functions – The algebraic completeness of the complex field – Fourier  series – The Gamma function – The Riemann – Stieltjes Integral – Definition and  Existence of the Integral – Properties of the Integral – Integration and Differentiation  – Integration of Vector – valued functions – Rectifiable curves.  

UNIT 2: COMPLEX ANALYSIS

Spherical representation of complex numbers – Analytic functions – Limits and  continuity – Analytic Functions – Polynomials – Rational functions – Elementary  Theory of Power series-Sequences – Series – Uniform Convergence – Power series –  Abel’s limit functions – Exponential and Trigonometric functions – Periodicity – The  Logarithm – Analytical Functions as Mappings – Conformality – Arcs and closed  curves – Analytic functions in Regions – Conformal mapping – Length and area –  Linear transformations – Linear group – Cross ratio – symmetry – Oriented Circles  – Families of circles – Elementary conformal mappings – Use of level curves – Survey  of Elementary mappings – Elementary Riemann surfaces – Complex Integration –  Fundamental Theorems – Line Integrals – Rectifiable Arcs – Line Integrals as Arcs Cauchy’s Theorem for a rectangle and in a disk-Cauchy’s Integral Formula – Index  of point with respect to a closed curve – The Integral formula – Higher order  derivatives – Local properties of analytic functions – Taylor’s Theorem – Zeros and  Poles – Local mapping – Maximum Principle – The General form of Cauchy’s  Theorem – Chains and Cycles – Simple connectivity Homology – General statement of Cauchy’s theorem – Proof of Cauchy’s theorem – LocalIy exact differentials –  Multiply connected regions – Calculus of residues – Residue Theorem – Argument  Principle – Evaluation of definite Integrals – Harmonic Functions – Definition and  basic properties – Mean – value Property – Poisson’s formula – Schwarz’s Theorem  – Reflection Principle – Weierstrass’s theorem – Taylor’s series – Laurent series.  

UNIT 3: ALGEBRA

Another counting principle – Sylow’s theorems – Direct products – Finite abelian  groups, Polynomial rings – Polynomials over the rational field – Polynomial rings over  commutative rings – Extension fields – Roots of polynomials – More about roots – The  element of Galois theory – Finite fields – Wedderbum’s theorem on finite division  rings – Theorem of Frobenius – The algebra of polynomials – Lagrange Interpolation  – Polynomial ideals – The prime factorization of a polynomial –Commutative rings –  Determinant functions – Permutations and the uniqueness of determinant –  Classical adjoint of a matrix – Inverse of an invertible matrix using determinants –  Characteristic values – Annihilating polynomial – Invariant subspaces –  Simultaneous triangulation –Simultaneous diagonalization – Direct sum  decompositions – Vector spaces Bases and dimension Subspaces – Matrices and  linear maps – Rank nullity theorem – Inner product spaces – Orthonormal basis –  Gram – Schmidt orthonormalization process – Eigen spaces – Algebraic and  Geometric multiplicities – Cayley – Hamilton theorem – Diagonalization – Direct sum  decomposition – Invariant direct sums – Primary decomposition theorem – Unitary  matrices and their properties – Rotation matrices – Schur, Diagonal and Hessenberg  forms and Schur decomposition – Diagonal and the general cases – Similarity  Transformations and change of basis – Generalised eigen vectors – Canonical basis  – Jordan canonical form – Applications to linear differential equations -Diagonal  and the general cases – An error correcting code – The method of least squares –  Particular solutions of non-homogeneous differential equations with constant  coefficients – The Scrambler transformation.  

UNIT 4: TOPOLOGY

Topological spaces – Basis for a topology – Product topology on finite Cartesian  products –Subspace topology – Closed sets and Limit points – Continuous functions  – Homeomorphism – Metric Topology – Uniform limit theorem – Connected spaces  – Components – Path components – Compact spaces – Limit point compactness –  Local compactness – Countability axioms -T1-spaces – Hausdorff spaces –  Completely regular spaces – Normal spaces – Urysohn lemma – Urysohn  metrization theorem Imbedding theorem – Tietze extension theorem – Tychonoff  theorem. 

UNIT 5: MEASURE THEORY AND FUNCTIONAL ANALYSIS

MEASURE THEORY : Lebesgue Outer Measure – Measurable Sets – Regularity – Measurable Functions – Boreland Lebesgue Measurablity – Abstract Measure –  Outer Measure – Extension of a Measure – Completion of a Measure – Integrals  of simple functions – Integrals of Non Negative Functions – The Generallntegral  – Integratiion of Series – Riemann and Lebesgue Integrals – Legesgue  Differentiation Theorem – Integration and Differentiation – The Lebesgue Set –  Integration with respect to a general measure Convergence in Measure – Almost  Uniform convergence – Signed measures and Hahn Decomposition Radon Nikodym Theorem and its applications- Measurability in a product space – The  Product measure and Fubini’s Theorem.  

FUNCTIONAL ANALYSIS: Banach spaces – Continuous linear transformations –  The Hahn-Banach theorem – The natural imbedding of N in N** – The open  mapping theorem – Closed graph theorem – The conjugate of an operator –  Uniform boundedness theorem – Hilbert Spaces – Schwarz inequality –  Orthogonal complements – Orthonormal sets – Bessel’s Inequality – Gram –  Schmidt orthogonalization process The conjugate space H*– Riesz  representation theorem – The adjoint of an operator Self-adjoint operators –  Normal and unitary operators – Projections – Matrices – Determinants and the  spectrum of an operator – spectral theorem – Fixed point theorems and some  applications to analysis. 

UNIT 6: DIFFERENTIAL EQUATIONS ORDINARY DIFFERENTIAL EQUATIONS:

Second order homogeneous equations – Initial value problems – Linear dependence  and independence – Formula for Wronskian – Non-homogeneous equations of order  two – Homogeneous and non-homogeneous equations of order n – Annihilator  method to solve a non – homogeneous equation – Initial value problems for the  homogeneous equation – Solutions of the homogeneous equations – Wronskian  and linear independence – Reduction of the order of a homogeneous equation –  Linear equation with regular singular points – Euler equation – Second order equations with regular singular points – Solutions and properties of Legendre and  Bessel’s equation – Equations with variables separated – Exact equations – Method  of successive approximations – Lipschitz condition – Convergence of the successive  approximations.  

PARTIAL DIFFERENTIAL EQUATIONS:  Integral surfaces passing through a given curve – Surfaces orthogonal to a given  system of surfaces – Compatible system of equations – Charpit’s method –  Classification of second order Partial Differential Equations – Reduction to  canonical form – Adjoint operators – Riemann’s method- One-dimensional wave  equation – Initial value problem – D’Alembert’s solution – Riemann – Volterra  solution – Vibrating string – Variables Separable solution – Forced vibrations –  Solutions of non-homogeneous equation – Vibration of a circular membrane –  Diffusion equation – Solution of diffusion equation in cylindrical and spherical  polar coordinates by method of Separation of variables – Solution of diffusion  equation by Fourier transform – Boundary value problems – Properties of  harmonic functions – Green’s function for Laplace equation – The methods of images  – The eigen function method.  

UNIT 7 MECHANICS AND CONTINUM MECHANICS

MECHANICS: The Mechanical system – Generalized coordinates – Constraints – Virtual work – and Energy Momentum derivation of Lagrange’s equations – Examples – Integrals of the  motion Hamilton’s principle – Hamilton’s equations – Other variational principle –  Hamilton principle function – Hamilton – Jacobi equation – Separability – Differential  forms and generating functions – Special transformations – Lagrange and Poisson  brackets.  

CONTINUM MECHANICS:  Summation convention – Components of a tensor – Transpose of a tensor –  Symmetric and anti-symmetric tensor – Principal values and directions – Scalar  invariants – Material and spatial descriptions – Material derivative – Deformation –  Principal strain – Rate of deformation – Conservation of mass – Compatibility  conditions – Stress vector and tensor – Components of a stress tensor – Symmetry  – Principal stresses – Equations of motion  – Boundary conditions – Isotropic solid – Equations of infinitesimal theory – Examples of elastodynamics  elastostatics – Equations of hydrostatics – Newtonian fluid – Boundary conditions – Stream lines  examples of laminar flows – Vorticity vector – Irrotational flow.  

UNIT 8: MATHEMATICAL STATISTICS AND NUMERICAL METHODS

MATHEMATICAL STATISTICS: Sampling distributions – Characteristics of good estimators – Method of moments  – Maximum likelihood estimation – Interval estimates for mean, variance and  proportions- Type I and type II errors – Tests based on Normal, t, and F distributions  for testing of mean, variance and proportions – Tests for independence of attributes  and goodness of fit – Method of least squares – Linear regression – Normal  regression analysis- Normal correlation analysis – Partial and multiple correlation  – Multiple linear regression – Analysis of variance – One-way and two-way  classifications – Completely randomized design – Randomized block design – Latin  square design – Covariance matrix – Correlation matrix – Normal density function  – Principal components – Sample variation by principal components – Principal  components by graphing.  

NUMERICAL METHODS: Direct methods : Gauss elimination method – Error analysis – Iterative methods :  Gauss-Jacobi and Gauss-Seidel – Convergence considerations – Eigen value  Problem : Power method – Interpolation: Lagrange’s and Newton’s interpolation –  Errors in interpolation – Optimal points for interpolation – Numerical differentiation  by finite differences – Numerical integration: Trapezoidal, Simpson’s and Gaussian  quadratures – Error in quadratures – Norms of functions – Best approximations:  Least squares polynomial approximation – Approximation with Chebyshev  polynomials – Piecewise linear and cubic Spline approximation – Single-step  methods: Euler’s method – Taylor series method – Runge – Kutta method of  fourth order – Multistep methods : Adams-Bashforth and Milne’s methods – Linear  two point BVPs: Finite difference method-Elliptic equations: Five point finite  difference formula in rectangular region – truncation error; One-dimensional  parabolic equation: Explicit and Crank-Nicholson schemes; Stability of the above  schemes – One-dimensional hyperbolic equation: Explicit scheme. 

UNIT 9: DIFFERENTIAL GEOMETRY AND GRAPH THEORY

DIFFERENTIAL  GEOMETRY:  Representation of space curves – Unique parametric representation of a space curve  – Arc-length – Tangent and osculating plane – Principal normal and bi-normal Curvature and torsion – Behaviour of a curve near one of its points – The curvature  and torsion of a curve as the intersection of two surfaces – Contact between curves  and surfaces – Osculating circle and Osculating sphere – Locus of centres of  spherical curvature – Tangent surfaces, involutes and evolutes – Intrinsic equations  of space curves – Fundamental existence theorem – Helices – Definition of a surface  – Nature of points on a surface – Representation of a surface – Curves on surfaces  – Tangent plane and surface normal – The general surfaces of revolution – Helicoids  – Metric on a surface – Direction coefficients on a surface – Families of curves –  Orthogonal trajectories – Double family of curves – Isometric correspondence –  Intrinsic properties – Geodesics and their differential equations – Canonical geodesic  equations – Geodesics on surface revolution – Normal property of geodesics –  Differential equations of geodesics using normal property – Existence theorems –  Geodesic parallels – Geodesic curvature – Gauss – Bonnet theorem – Gaussain  curvature – Surfaces of constant curvature.  

GRAPH THEORY:  Graphs and subgraphs: Graphs and simple graphs – Graph isomorphism –  Incidence and adjacency matrices – Subgraphs – Vertex degrees – Path and  Connection cycles – Applications : The shortest path problem – Trees: Trees – Cut  edges and bonds – Cut vertices – Cayley’s formula – Connectivity : Connectivity –  Blocks – Euler tours and Hamilton cycles: Euler tours – Hamilton cycles –  Applications: The Chinese postman problem – Matchings : Matchings – Matching  and coverings in bipartite graphs – Perfect matchings – Edge colourings : Edge  chromatic number – Vizing’s theorem – Applications: The timetabling problem –  Independent sets and cliques : Independent sets-Ramsey’s theorem – Turan’s  theorem – Vertex colourings : Chromatic number – Brook’s theorem – Hajos’  conjecture – Chromatic polynomials – Girth and chromatic number – Planar graphs  : Plane and planar graphs – Dual graphs – Euler’s formula – Bridges – Kuratowski’s  Theorem – The Five color theorem and the four color conjecture – Non Hamiltonian  planar graphs. 

UNIT-10: MATHEMATICAL PROGRAMMING AND FLUID DYNAMICS

MATHEMATICAL PROGRAMMING:  Linear programming : Formulation and graphical solutions – Simplex method –  Transportation and Assignment problems – Advanced linear programming : Duality  – Dual simplex method – Revised simplex method – Bounded variable technique –  Integer programming : Cutting plane algorithm – Branch and bound technique –  Applications of integer programming – Non-linear programming: Classical  optimization theory Unconstrained problems – Constrained problems – Quadratic  programming – Dynamic programming : Principle of optimality – Forward and  backward recursive equations – Deterministic dynamic programming applications. 

FLUID DYNAMICS:  Kinematics of fluids in motion : Real and ideal fluids – Velocity – Acceleration –  Streamlines – Pathlines – Steady and unsteady flows – Velocity potential – Vorticity  vector – Local and particle rates of change – Equation of continuity – Conditions at a  rigid boundary – Equations of motion of a fluid : Pressure at a point in a fluid –  Boundary conditions of two inviscid immiscible fluids – Euler’s equations of motion  – Bernoullt’s equation – Some potential theorems – Flows involving axial symmetry –  Two dimensional flows : Two-dimensional flows – Use of cylindrical polar co 

ordinates – Stream function, complex potential for two-dimensional flows,  irrotational, incompressible flow – Complex potential for standard two-dimensional  flows – Two dimensional image systems – Milne – Thomson circle theorem – Theorem  of Blasius – Conformal transformation and its applications : Use of conformal  transformations – Hydro-dynamical aspects of conformal mapping – Schwarz  Christoffel transformation – Vortex rows – Viscous flows : Stress – Rate of strain –  Stress analysis – Relation between stress and rate of strain-Cofficient of viscosity –  Laminar flow – Navier – Stokes equations of motion – Some problems in viscous flow. 

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