ࡱ> [ = bjbj 8$ΐΐ)))8al)s ehi4wkEkEkE0 kE kEkEz$ȷQR)2j0zNoCoȷoȷ0kEkEo : @Department of Mathematics Institute of Science Banaras Hindu University Course Work for Ph. D. Mathematics Students Every student admitted in Mathematics for the Ph. D. programme will be required to pass a course work of minimum 20 credits. The division of this 20 credits course work is in three categories. Category-A (3 credits) courses are compulsory for all Ph. D. students of faculty of science. Category-B (7-credits) courses are discipline-specific courses. Category-C (10 credits) courses are research theme- specific courses. OUTLINE Discipline-Specific Courses (7 credits) Credits: 7 (Compulsory for all the research scholars) GROUP-I MTPC-01 Real and Complex Analysis ( 4 Cr.) MTPC-02 Stochastic Differential Equations ( 4 Cr.) MTPC-03 Analysis on Manifolds ( 4 Cr.) MTPC-04 Differential Equations ( 4 Cr.) MTPC-05 Functional Analysis ( 4 Cr.) MTPC-06 Numerical Methods ( 4 Cr.) MTPC-07 Numerical Optimization ( 4 Cr.) MTPC-08 Theory of Nonlinear Optimization ( 4 Cr.) MTPC-09 Nonlinear Dynamical Systems ( 4 Cr.) MTPC-10 Convection in Fluid and Porous Media ( 4 Cr.) MTPC-11 Fourier Analysis and Approximation Theory ( 4 Cr.) GROUP-II MTPC-12 Operations Research ( 4 Cr.) MTPC-13 Gravitation ( 4 Cr.) MTPC-14 Structures on Differentiable Manifolds ( 4 Cr.) MTPC-15 Advanced Topology ( 4 Cr.) MTPC-16 Numerical Solution of Partial Differential Equations( 4 Cr.) MTPC-17 Integral Equations ( 4 Cr.) MTPC-18 Fuzzy Sets and Applications ( 3 Cr.) MTPC-19 Wavelets ( 4 Cr.) MTPC-20 Bio-Mechanics ( 3 Cr.) MTPC-21 Module Theory ( 3 Cr.) Research theme-specific courses (10 credits) MTPR-01 Engineering Hydrology (4 cr.) MTPR-02 Computational Fluid Dynamics (4 cr.) MTPR-03 Magnetohydrodynamics (4 cr.) MTPR-04 Time Series Analysis (4 cr.) MTPR-05 Fuzzy Optimization and Decision Making (4 cr.) MTPR-06 Category Theory (4 cr.) MTPR-07 Fuzzy Topology (4 cr.) MTPR-08 Cosmology-I (4 cr.) MTPR-09 Cosmology-II (4 cr.) MTPR-10 Boundary Layer Theory (4 cr.) MTPR-11 Thermal Instabilities and Methods (4 cr.) MTPR-12 Advanced Numerical Analysis (4 cr.) MTPR-13 Advanced Ring and Module Theory (4 cr.) MTPR-14 Calculus in Banach Spaces (4 cr.) MTPR-15 Optimization and Non-smooth Analysis (4 cr.) MTPR-16 Operator Theory (4 cr.) MTPR-17 Banach Algebra (4 cr.) MTPR-18 Summability Theory (4 cr.) MTPR-19 Approximation of Functions by (4 cr.) Summability Operators MTPR-20 Concept of Epidemiology & its Appls. (4 cr.) Compulsory for all the Research Scholars MTPR-21 Preparation and Presentation of the Research Plan Proposal (2 cr.) COURSE CONTENTS Discipline Specific Courses MTPC-01 Real and Complex Analysis ( 4 cr. ) Real Analysis: Infinite product and its convergence, uniform convergence of infinite product, double series, double series of positive reals and its convergence, double series of complex numbers and Blaschke product, Gamma function and its asymptotic behaviour, repeated integrals, Weiestrass approximation theorem Complex Analysis: Elementary properties of analytic functions and complex integration, Meromorphic functions, poisson integral, Jensons theorem, Carlemans theorem, Littlewoods theorem, singularities, Riemann surfaces and properties, Riemann zeta function, Riemann hypothesis, Hadamards theorems, conformal mappings, Riemann mapping theorem, Dirichlets series. Suggested readings : Aliprantis C.D.,Principle of Real Analysis(third Edition); Academic Press, 1998. Conway J.B. ,Functions of one Complex Variables, Springer/ Narosa, New Delhi. Hewitt E. and Stromberg K., Real and Abstract Analysis, Springer, 1975. MTPC-02 Stochastic Differential Equations (SDEs) ( 4 cr. ) Stochastic analogs of differential equations; filtering process; stochastic approach to deterministic boundary value problem; stochastic control. Probability spaces, random variables and stochastic processes, Brownian motion, white noise, conditional expectations. It integral: construction, properties, extensions; one- and multi-dimensional It formulae, the Martingale representation. SDEs, examples and some solution methods of linear SDEs, important models. Diffusions, Markov properties, Generator of an It diffusion, characteristic operator, Martingale problem. Combined Dirichlet-Poisson problem, Dirichlet problem, Poisson problem. HamiltonJacobiBellman equation (stochastic control), stochastic control problems with terminal conditions. Suggested readings : Bernt ksendal, Stochastic Differential Equations, An Introduction with Applications, Springer, 2006 Kazimierz Sobczyk, Stochastic Differential Equations (with Applications to Physics and Engineering), Kluwer, 2001 H Kunita, Stochastic Flows and Stochastic Differential Equations, Cambridge Univ. Press, 1997. Javier R Movellan, Tutorial On Stochastic Differential Equations, MP Lab Tutorials Version 6.1, 2006 An Introduction To Stochastic Differential Equations Version 1.2, Lawrence C Evans, Univ Of Burkley. K D Elworthy, Stochastic Differential Equations On Manifolds, Cambridge Univ. Press, 1982 L W Gelhar, Stochastic Sub-surface Hydrology, Prentice Hall, 1992 MTPC-03 Analysis on Manifolds (4 cr.) Functions on Euclidean spaces, continuity, differentiability; partial and directional derivatives, chain rule, inverse function theorem, implicit function, Riemann integral of real-valued functions on Euclidean spaces, Fubinis theorem, partition of unity, change of variables. Integration on chains, tensors, differential forms, Poincare lemma, singular chains, Stokes theorem for integrals of differential forms on chains(general version), fundamental theorem of calculus. Differential manifolds( as subspaces of Euclidean spaces), differential functions on manifolds, tangent spaces, vector fields, differential forms on manifolds, orientations, integration on manifolds, Stokes theorem on manifolds. Suggested readings : M.Spivak, Calculus on Manifolds, Addison-Wesley, 1965. J.R. Munkers , Analysis on Manifolds, Addison-Wesley, 1991. MTPC -04 Differential Equations (4 cr. ) Existence and uniqueness of initial value problems, Picards theorem. Analytical solutions of non-linear differential equations by asymptotic methods: variational approaches, parameter expanding methods, parameterized perturbation method, iteration perturbation method, homotopy methods. Greens function and boundary value problems. First order PDE: method of characteristics, wave equation, weak solutions, system of PDE. Linear PDE: dimensional analysis and self similarity, regular and singular perturbation, asymptotic and complete solution. Non-linear PDE: conversion of non-linear PDE into linear PDE, some exactly solvable cases, Burgers equation, singular perturbation: boundary layer idea, shallow water theory. Suggested readings : V. Lakshmikantham and V. Raghavendra , A text Book of Ordinary Differential Equations, Tata McGraw Hill,1997. A.H. Nayfeh, Introduction to Perturbation methods, John Wiley ,1981. F. Verhulst, Non-linear Differential Equations and Dynamical Systems, Springer, 1990. P.Prasad and R .Ravindran, Partial Differential Equations, Wiley Eastern, 1985. W.E. Williams, Partial Differential Equations, Oxford Univ. Press, 1980. R.R. Garabedian, Partial Differential Equations, Wiley, 1984. J. Kevorkian, Partial Differential Equations: analytical solution techniques, Springer , 2000. H. Levine, Partial differential Equations, Amer. Math. Soc. Intl. Press , 1997. G. I. Barenblatt, Scaling, Self-similarity and intermediate asymptotics, Cambridge Univ. Press, 1997. L. Debnath, Non-linear Partial Differential Equations for Scientists and engineers, Birkhauser, 1997. MTPC-05 Functional Analysis (4 cr. ) Topological Groups: Basic definition and properties. 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