The course of study
and syllabi for various degrees of the university shall be submitted
by the respective board of studies/Board of faculties to the academic
council and the syndicate for approval.Such courses and syllabi
shall beome effective from the date of approval by the syndicate
or such other date as the syndicate may determine.
The real numbers: algebraic and order properties of R; the completeness property; cluster points; open and closed sets in R. Sequences, the limit of a function, limit theorems. Continuous functions on intervals: boundedness theorem, maximum-minimum theorem and the intermediate value theorem; uniform continuity. The derivative: the mean value theorem; Taylor’s theorem. Functions of several variables: Limit and continuity of functions of two and three variables; partial derivatives; differentiable functions. Multiple Integrals: regions in the x-y plane, iterated integrals, double integrals, change in the order of integration, transformation of double integrals. Line and surface integrals: Jordan curve, regular region, line integral, Green’s theorem, independence of the path, surface integrals, Gauss theorem.
1. Bartle, R.G. and Sherbert, D.R. Introduction to Real Analysis, John Wiley & Sons 1994.
2 . Widder, D.V. Advanced Calculus, Prentice-Hall, 1982.
3. Rudin, W Principles of Real Analysis, McGraw-Hill, 1995.
Review of matrices and determinants. Linear spaces. Bases and dimensions. Subspaces. Direct sums of subspaces. Factor spaces. Linear forms. Linear operators. Matrix representation and sums and products of linear operators. The range and null space of linear operators and linear operators. Invariant subspaces. Eigen values and eigen vectors. Transformation to new bases and consecutive transformations. Transformations of the matrix of a linear operator. Canonical form of the matrix of a nilponent operator. Polynomial algebra and canonical form of the matrix of an arbitrary operator. The real Jordan canonical form. Bilinear and quadratic forms and reduction of quadratic form to a canonical form. Adjoint linear operators. Isomorphisms of spaces. Hermitian forms and scalar product in complex spaces. System of differential equations in normal form. Homogeneous linear systems. Solution by diagonalisation. Non-homogeneous linear systems.
1 Shilov, G.E., Linear Algebra, Dover Publication, Inc., New York, 1997.
2 Zill, D.G. and Cullen M.R., Advanced Engineering Mathematics, PWS, publishing company, Boston, 1996.
3 Herstein, I., TopicsinAlgebra, John-Wiley, 1975.
4 Trooper, A.M., Linear Algebra, Thomas Nelson and Sons, 1969.
Historical background; Motivation and applications. Index notation and summation convention; Space curves; The tangent vector field; Reparametrization; Arc length; Curvature; Principal normal; Binormal; Torsion; The osculating, the normal and the rectifying planes; The Frenet-Serret Theorem; Spherical images; Sphere curves; Spherical contacts; Fundamental theorem of space curves; Line integrals and Green’s theorem; Local surface theory; Coordinate transformations; The tangent and the normal planes; Parametric curves; The first fundamental form and the metric tensor; Normal and geodesic curvatures; Gauss’s formulae; Christoffel symbols of first and second kinds; Parallel vector fields along a curve and parallelism; The second fundamental form and the Weingarten map; Principal, Gaussian, Mean and Normal curvatures; Dupin indicatrices; Conjugate and asymptotic directions; Isometries and the fundamental theorem of surfaces.
1. Millman,R.S and Parker., G.D. Elements of Differential Geometry, Prentice-Hall Inc., New Jersey, 1977.
2. Struik, D.J., Lectures on Classical Differential Geometry, Addison-Wesley Publishing Company, Inc., Massachusetts, 1977.
3. Do Carmo, M.P., Differential Geometry of Curves and Surfaces, Prentice-Hall, Inc., Englewood, New Jersey, 1985.
4. Neil, B.O., Elementary Differential Geometry, Academic Press, 1966.
5. Goetz, A., Introduction to Differential Geometry, Addison-Wesley, 1970.
6. Charlton, F., Vector and Tensor Methods, Ellis Horwood, 1976.
Motivation and introduction, sets and their operations, countable and uncountable sets, cardinal and transfinite numbers. Topological spaces, open and closed sets, interior, closure and boundary of a set, neighborhoods and neighborhood systems, isolated points, some topological theorems, topology in terms of closed sets, limit points, the derived and perfect sets, dense sets and separable spaces, topological bases, criteria for topological bases, local bases, first and second countable spaces, relationship between sparability and second countablity, relative or induced topologies, necessary and sufficient condition for a subset of a subspace to be open in the original space, induced bases. Metric spaces, topology induced by a metric, equivalent topologies, formulation with closed sets, Cauchy sequence, complete metric spaces, characterization of completeness, Cantor’s intersection theorem, the completion of metric space, metrizable spaces. Continuous functions, various characterizations of continuos functions, geometric meaning, homeomorphisms, open and closed continuous functions, topological properties and homeomorphisms. Separation axioms, T1 and T2 spaces and their characterization, regular and normal spaces and their characterizations, Urysohn’s lemma, Urysohn’n metrizablity theorem (without proof). Compact spaces their characterization and some theorems, construction of compact spaces, compactness in metric spaces, compactness and completeness, local compactness. Connected spaces, characterization and some properties of connected spaces.
1. Munkres, J.R., Topology A First Course, Prentice - Hall, Inc. London, 1975.
2. Simon, G.F., Introduction to Topology and Modern Analysis McGraw-Hill, New York, 1963.
3. Pervin, W.J., Foundation of General Topology, Academic Press, London, 2nd, ed., 1965.
Definitions and occurrence of differential equations (d.e.), remarks on existence and uniqueness of solution. First order and simple higher order d.e; special equations of 1st order. Elementary applications of 1st order d.e. Theory of linear differential equations. Linear equations with constant coefficients. Methods of undetermined coefficients and variation of parameters. S-L boundary value problems; self adjoint operators. Fourier series. Series solution of d.c. The Bessel modified Bessel Legendres, Hermite, Hypergeometric, Lauguere equations and their solutions. Orthogonal polynomials. Green function for ordinary differential equations.
1. Morris, M and Brown, O.E., Differential Equations, Englewood Cliffs, Prentice-Hall, 1964.
2. Spiegel, M.R., Applied Differential Equations, Prentice-Hall, 1967.
3. Chorlton, F., Ordinary Differential and Difference Groups, Van Nostrand, 1965.
4. Brand, L., Differential and Difference Equations, John-Wiley, 1966.
5. Zill, D.G and Cullen, M.R., Advanced Engineering Mathematics PWS, Publishing Co. 1992.
6. Rainville, E.D. and Bedient, P.E., Elementary Differential Equations, MaCmillian Company, New York, 1963.
The Riemann Integral: Upper and lower sums, definition of a Riemann integral, integrability criterion, classes of integrable functions, properties of the Riemann integral. Infinite Series: Review of sequences, the geometric series, tests for convergence, conditional and absolute convergence. Regrouping and rearrangement of series. Power series, radius of convergence. Uniform Convergence: Uniform convergence of a sequence and a series, the M-test, properties of uniformly convergent series. Weierstrass approximation theorem. Improper Integrals: Classification, tests for convergence, absolute and conditional convergence, convergence of òf(x) sinx dx, the gamma function. Uniform convergence of integrals, the M-text, properties of uniformly convergent integrals. Fourier Series: Orthogonal functions, Legendre, Hermite and Laguerre polynomials, convergence in the mean. Fourier-Legendre and Fourier-Bessel series, Bessel inequality, Parseval equality. Convergence of the trigonometric Fourier series.
1. Bartle, R.G. and Sherbert, D.R., Introduction to Real Analysis, John Wile Sons 1994.
2. Widder, D.V., Advanced Calculus, Prentice Hall 1982.
3. Rudin, W., Principles of Real Analysis, McGraw-Hill 1995.
4. Rabenstein, R.L., Elements of Ordinary Differential Equations, Academic Press, 1984.
Definition and examples of manifolds; Differential maps; Submanifolds; Tangents; Coordinate vector fields; Tangent spaces; Dual spaces; Multilinear functions; Algebra of tensors; Vector fields; Tensor fields; Integral curves; Flows; Lie derivatives; Brackets; Differential forms; Introduction to integration theory on manifolds; Riemannian and semi-Riemannian metrics; Flat spaces; Affine connextions; Parallel translations; Covariant differentiation of tensor fields; Curvature and torsion tensors; Connexion of a semi-Riemannian tensor; Killing equations and Killing vector fields; Geodesics; Sectional curvature.
1. Bishop, R.L. and Goldberg, S.I., Tensor Analysis on Manifolds, Dover Publications, Inc. N.Y., 1980.
2.do Carmo, M.P., Riemannian Geometry, Birkhauser, Boston, 1992.
3. Lovelock, D. and Rund, H. Tensors., Differential Forms and Variational Principles, John-Willey, 1975.
4. Langwitz, D., Differential and Riemannian Geometry, Academic Press, 1970.
5. Abraham, R., Marsden, J.E. and Ratiu, T., Manifolds, Tensor Analysis and Applications, Addison-Wesley, 1983.
Algebra of complex numbers, analytic functions, C-R equations, harmonic functions, elementary functions, branches of log z, complex exponents. Integrals: Contours, Cauchy-Goursat theorem, Cauchy integral formula, Morera’s theorem, maximum moduli of functions, Liouville’s theorem, fundamental theorem of algebra. Series: Convergence of sequences and series, Taylor series, Laurent series, uniqueness of representation, zeros of analytic function. Residues and poles: the residue theorem, evaluation of improper integrals, integrals involving trigonometric functions, integration around a branch point. Mapping by elementary functions: linear functions, the function 1/z, the transformations
w = exp(z) and w = sin(z), successive transformations. Analytic continuation, the argument principle, Rouche’s theorem.
1. Churchill, R.V. Verhey and Brown R., Complex Variables and Applications McGraw-Hill, 1996.
2. Marsden, J.E., Basic Complex Analysis, W.H.Freeman and Co, 1982.
3. Hille, E., Analytic Function Theory, Vols.I and II, Chelsea Publishing Co. New York, 1974.
Review of basic principles: Kinematics of particle and rigid body in three dimension; Euler’s theorem. Work, Power, Energy, Conservative field of force. Motion in a resisting medium. Variable mass problem. Moving coordinate systems, Rate of change of a vector, Motion relative to the rotating Earth. The motion of a system of particles, Conservation laws. Generalized coordinates, Lagrange’s equations, Hamilton’s equations, Simple applications. Motion of a rigid body, Moments and products of inertia, Angular momentum, kinetic energy about a fixed point; Principal axes; Momental ellipsoid; Equimomental systems. Gyroscopic motion, Euler’s dynamical equations, Properties of a rigid body motion under no forces. Review of material.
1.Chorlton, F., Principles of Mechanics, McGraw Hill, N.Y 1983.
2.Symon, K.R., Mechanics, Addison Wesley, 1964.
3.Goldstein, H., Classical Mechanics, Addison Wesley, 2nd Edition, 1980.
4. Synge, J. I. and Griffith, B. A., Principles of Mechanics, McGraw-Hill, N.Y. 1986.
5. Beer, F. P. and Johnston, E. R., Mechanics for Engineers, Vols.I&II, McGraw-Hill, N.Y, 1975.
Number Systems and Errors: Loss of significance and error propagation, condition and instability; error estimation; floating point arithmatic; loss of significance and error propagation. Interpolation by Polynomials: Existence and uniqueness of the interpolating polynomial. Lagrangian interpolation, the divided difference table. Error of the interpolating polynomial; interpolation with equally spaced data, Newton’s forward and backward difference formulas, Bessel’s interpolation formula. Solution of non-linear Equations: Bisection method, iterative methods, secant and regula falsi methods; fixed point iteration, convergence criterion for a fixed point iteration, Newton-Raphson method,order of convergence of Newton-Raphson and secant methods. System of Linear Equations: Gauss elimination methods, triangular factorization, Crout method. Iterative methods: Jacobi method, Gauss-Seidel method, SOR method, convergence of iterative methods. Numerical Differentiation: Numerical differentiation formulae based on interpolation polynomials, error estimates. Numerical Integration: Newton-Cotes formulae; trapezoidal rule, Simpson’s formulas, composite rules, Romberg improvement, Richardson extrapolation. Error estimation of integration formulas, Gaussian quadrature. (Programming will be done in FORTRAN.)
1. McCracken, D.D., A guide to Fortran IV programme, Second Edition, John Wiley & Sons, Inc, New York, London, Sydney, Toronto, 1979.
2. Conte, S.D. and Boor, C., Elementary Numerical Analysis, McGraw-Hill 1980.
3. Ahmad, F. and Rana, M.A., Elements of Numerical Analysis, National Book Foundation, Islamabad, 1995.
4. Zurmuhl, R., Numerical Analysis for Engineers and Physicists, Springer-Verlag 1976.
Banach Spaces: Definition and examples of normed spaces, Banach spaces, Characterization of Banach spaces. Bounded Linear Transformations: Bounded linear operators, Functionals and their examples, Various characterizations of bounded (continuous) linear operators, The space of all bounded linear operators, The open mapping and closed graph theorems, The dual (conjugate) spaces, Reflexive spaces. Hahn-Banach Theorem: Hahn-Banach theorem (without proof), Some important consequences of the Hahn-Banach theorem. Hilbert Spaces: Inner product spaces and their examples, The Cauchy-Schwarz inequality, Hilbert spaces, Orthogonal complements, The projection theorem, The Riesz representation theorem.
1.Kreyszig, E., Introductory Functional Analysis with Applications, John Wiley, 1978.
2.Maddox, J., Elements of Functional Analysis, Cambridge, 1970.
3.Simmon, G.F., Introduction to Topology and Modern Analysis, McGraw-Hill, N.Y.1983.
4.Rudin, W., Functional Analysis, McGraw-Hill, N.Y., 1983.
Review of ordinary differential equation in more than one variables. Partial differential equations (p.d.e) of the first order. Nonlinear p.d.e. of first order Applications of 1st order partial differential equations. Partial differential equations of second order: Mathematical modeling of heat, Laplace and wave equations. Classification of 2nd order p.d.e. Boundary and initial conditions. Reduction to canonical form and the solution of 2nd order p.d.e. Technique of separation of variable for the solution of p.d.e with special emphasis on Heat, Laplace and wave equations. Laplace, Fourier and Hankel transforms for the solution of p.d.e and their application to boundary value problems.
1. Sneddon, I.N., Elements of Partial Differential Equations, McGraw-Hill Book Company, 1987.
2. Dennemyer, R., Introduction to Partial Differential Equations and Boundary Value Problems, McGraw-Hill Book Company, 1968.
3. Humi, M and Miller, W.B., Boundary Value Problems and Partial Differential Equations, PWS-Kent Publishing Company, Boston, 1992.
4. Chester, C.R., Techniques in Partial Differential Equations, McGraw-Hill Book Company, 1971.
5. Haberman, R., Elementary Applied Partial Differential Equations, Prentice Hall, Inc.New Jersey, 1983.
6. Zauderer, E., Partial Differential Equations of Applied Mathematics, John Wiley & Sons, Englewood Cliff, New York, 1983.
Measure Spaces: Definition and examples of algebras and s-algebras, Basic properties of measurable spaces, Definition and examples of measure spaces, Outer measure, Lebesgue measure, Measurable sets, Complete measure spaces. Measurable Functions: Some equivalent formulations of measurable functions, Examples of measurable functions, Various characterization of measurable functions, Property that holds almost everywhere, Egorov’s theorem. Lebesgue Integrations: Definition of Lebesgue integral, Basic properties of Lebesgue integrals, Comparison between Riemann integration and Lebesgue integration, L2-space, The Riesz-Fischer theorem.
Introduction to optimisation. Relative and absolute extrema. Convex, concave and unimodal functions. Constraints. Mathematical programming problems. Optimisation of one, two and several variables functions and necessary and sufficient conditions for their optima. Optimisation by equality constraints: Direct substitution method and Lagrange multiplier method, necessary and sufficient conditions for an equality constrained optimum with bounded independent variables. Inequality constraints and Lagrange multipliers. Kuhn-Tucker Theorem. Multidimensional optimisation by Gradient method. Convex and concave programming. Calculus of variation and Euler Lagrange equations. Functionals depending on several independent variables. Variational problems in parametric form. Generalised mathematical formulation of dynamics programming. Non-linear continuous models. Dynamics programming and variational calculus. Control theory.
1.Gotfried B. S and Weisman, J., Introduction to Optimization Theory, Prentice-Inc., New Jersey, 1973.
2.Elsgolts L., Differential Equations and the Calculus of variations, Mir Publishers, Moscow, 1970.
3.Wismer D. A and Chattergy R., Introduction to Nonlinear Optimization, North Holland, New York, 1978.
4.Intriligator M.D., Mathematical Optimization and Economic Theory, Prentice-Hall, Inc., New Jersey, 1971.
Interpretations of Probability. Experiments and events. Definition of probability. Finite sample spaces. Counting methods. The probability of a union of events. Independent events. Definition of conditional probability. Baye’s’ theorem. Random variables and discrete distributions. Continuous distributions. Probability function and probability density function. The distribution function. Bivariate distributions. Marginal distributions. Conditional distributions. Multivariate distributions. Functions of random variables. The expectation of a random variable. Properties of expectations. Variance. Moments. The mean and the median. Covariance and correlation. Conditional expectation. The sample mean and associated inequalities. The multivariate normal distribution.
1.Mood, A.M. Graybill, F.A., and Boes, D.C., Introduction to the Theory of Statistics, 3rd Edition, McGraw-Hill Book Company New York, 1974.
2.Degroot, M. H., Probability and Statistics, 2nd Edition, Addison-Wesley Publishing Company, USA, 1986.
3.Mardia, K.V., Kent, J.T., and Bibby, J.M., Multivariate Analysis, Academic Press, New York, 1979.
Statistical inference. Maximum likelihood estimators. Properties of maximum likelihood estimators. Sufficient statistics. Jointly sufficient statistics. Minimal sufficient statistics. The sampling distribution of a statistic. The chi square distribution. Joint distribution of the sample mean and sample variance. The t distribution. Confidence intervals. Unbiased estimators. Fisher information. Testing simple hypotheses. Uniformly most powerful tests. The t test. The F distribution. Comparing the means of two normal distributions. Tests of goodness of fit. Contingency tables. Equivalence of confidence sets and tests. Kolmogorov- Smirnov tests. The Wilcoxon Signed-ranks test. The Wilcoxon-Mann-Whitney Ranks test.
1. Mood, A.M., Graybill, F.A., Boes, D.C., Introduction to the Theory of Statistics, 2nd edition, McGraw-Hill Book Company New York 1986.
2. Degroot, M. H., Probability and Statistics, 2nd edition, Addison-Wesley Publishing Company, USA 1986.
Osculating polynomials, Differentiation and integration in multidimension. Ordinary differential equations: Predictor methods, Modified Eulers method, Truncation error and stability, The Taylor series method, Runge-Kutta methods. Differential equations of higher order: System of differential equations; Runge-Kutta methods, shooting methods, finite difference methods.
Partial differential equations: Elliptic hyperbolic and parabolic equations; Explicit and implicit finite difference methods, stability, convergence and consistency analysis, The method of characteristic.
Eigen value problems; Estimation of eigen values and corresponding error bounds, Gerschgorin’s theorem and its applications Schur’s theorem, Power method, Shift of origin, Deflation method for the subdominant eigen values.
1. Conte, S.D., and De Boor., Elementary Numerical Analysis, McGraw-Hill 1972.
2. Gerald, C.F., Applied Numerical Analysis, Addison Wesely, 1984.
3. Froberg, C.E., Introduction to Numerical Analysis, Addison Wesely, 1972.
4. Gourlay, A.R. and Watson, G.A., Compitational Methods for Matrix Eigene Problems. John Wiley & Sons 1973.
5. Smith G.D., Numerical Solution of Partial Differential Equations, Oxford University Press.
6. Mitchel A.R. and Griffiths D.F., The Finite Difference Methods in Partial Differential Equations, John Wiley and Sons 1980.
Integal equation formulation of boundary value problems, classification of integral equations, method of successive approximation, Hilbert-Schmidt theory, Schmidt’s solution of non- homogeneous integral equations, Fredholm theory, case of multiple roots of characteristic equation, degenerate kernels. Introduction to Wiener-Hopf technique.
1.Lovitt, W.V., Linear integral equations, Dover Publications 1950.
2 Smith, F., Integral equations, Cambridge University Press.
3.Tricomi, F.G., Integral equations, Interscience, 1957.
4.B. Noble., Methods based on the Wiener-Hopf technique, Pergamon Press, 1958.
5.Abdul J. Jerri., Introduction to integral equations with applications, Marcel Dekker Inc. New York, 1985.
Geodesics and their length minimizing properties; Jacobi fields; Equation of geodesic deviation; Geodesic completeness (Theorem of Hopf-Rinow); Curvature and its influence on topology (Theorem of Cartan-Myers and Hadamard); Geometry of submanifolds; Second fundamental form; Curvature and convexity; Minimal surfaces, Mean curvature of minimal surfaces; Calculus of differential forms and integration on manifolds; Theorem of Stokes; Elementary applications of differential forms to algebraic topology.
1.Do Carmo, M.P., Riemannian Geometry, Birkhauser, 1992.
2 Gallot. S.; Lafontaine, J., Riemannian Geometry, Springer-Verlag, 1990.
3.Bott, R. and Tu, M., Differential forms in algebraic topology, Springer-Verlag, 1987.
Continuous Groups; Gl(n,R), Gl(n,C), So(p,q), Sp(2n); generalities on continuous groups; groups of isometries, classification of two and three dimensional Euclidean space accoding to their isometries; introduction to Lie groups with special emphasis on matrix Lie groups; relationship of isometries and Lie group; theorem of Cartan; correspondence of continuous groupswith Lie algebras; classification of groups of low dimensions; homogeneous spaces and orbit types; curvature of invariant metrics on Lie groups and homogeneous spaces.
1.Bredon, G.E., Introduction to compact transformation groups, Academic Press, 1972. 2. Eisenhart, L.P., Continuous groups of transformations, Priceton U.P., 1933.
3.Pontrjagin, L.S., Topological groups, Princeton University Press, 1939.
4.Husain Taqdir., Introduction to Topological Groups, W.B. Saunder’s Company, 1966.
5.Miller Willard, Jr., Symmetry groups and their application, Academic Press New York and London 1972.
Manifolds and smooth maps; Derivatives and Tangents; The inverse function theorem and Immersions; Submersions; Transversality, homotopy and stability; Embedding manifolds in Euclidean space; Manifolds with boundary; One manifolds and some consequences; Exterior algebra; Differential forms; Partition of unity; Integration on manifolds; Exterior derivative; Cohomology with forms; Stoke’s theorem; Integration and mappings; The Gauss-Bonnet theorem; Lie groups as examples of manifolds; Their Lie algebras; Examples of matrix Lie groups and their Lie algebras.
1.Guillemin, V. and Pollock, A., Differential Topology, Prentice-Hall, Inc., Englewood Cliffs, New Jersey, 1974.
2 Boecker, T. and Dieck, T., Representations of Compact Lie groups, Springer Verlag,1985.
3.Bredon, G.E., Introduction to Compact Transformation Groups, Academic Press, 1972.
To basic counting principles, Permutations, Combinations. The injective and bijective principles, Arrangements and selections with repetitions. Graphs in Combinatorics.
The Binomial theorem, combinatorial identities. Properties of binomial coefficients, Multinomial coefficients, The multinomial theorem.
The Pigeonhole principle, Examples, Ramsay numbers, The principle of inclusion and exclusion, Generalization. Integer solutions. Surjective mapping, Stirling numbers of the second kind, The Sieve of Eratostheries, Euler φ-function, The Probleme des Manages.
Linear homogeneous recurrence relations, Algebraic solutions of linear recurrence relations and constant functions, The method of generating functions, A non-linear recurrence relation and Catalpa numbers
A Tucker, Applied Combinatorics, John Wiley & Sons, New York, 2nd Edition, 1985.
C.C. Chen and K.M.Koh, Principles and Techniques in Combinatorics, World Scientific Pub. Co. Pte. Ltd, Singapore. 1992.
V.K.Balakrishnan, Theory and Problems of Combunatorics, Schaum’s Outline Series, MeGraw-Hill International Edition, Singapore, 1995.
C.L.Liu, Introduction to Combinatorial Mathematics, McGraw-Hill, New York, 1968.
J.H.van Ling & R.M. Wilson, A course on Combinatorics, 2nd Edition, Cambridge University Press, Cambridge, 2001.
Algebraic varieties: Affine algebraic varieities, Hibert basis Theorem, Decomposition of variety into irreducible components, Hibert’s Nulttstellensatz, The Sectrum of a Ring, Projective variety and the homogeneous Spectrum.
Functions and Morphisms: Some properties of Zariski topology, Rings and modules of franctions and their properties, Coordinate ring and polynomial functions, Polynomial maps, Regular and rational functions, Morphisms, Rational maps.
Dimension: The Krull dimension of Topological Spaces and Rings, Prime Ideal Chain and Integral Extensions, The Dimension of Affine Algebras and Affine Algebraic Varieties, The Dimension of Projective Varieties.
Applications: The product of varieties, On dimension, Tangent space and smoothness, Completeness.
O. Zariski and P. Samual, Commutative Algebra, Vol. 1, Van Nostrand, Princeton, N. J., 1958.
M.F. Atiyah and I. G. Macdonald, Introduction to Commutative Algebra, Addison Wesley Pub. Co., 1969.
An introduction to the use of abstract methods in mathematics, using algebraic systems that play an important role in many applications of mathematics.
Abelian groups, Commutative rings with identity, fields, Ideals, Polynonial rings, Principal Ideal domains, arithmetic of integers mod n and finite fields. Vector spaces over arbitraty fields, Examples of Algebra of Polynomial rings over an arbitrary field, subspaces, bass, linear transformations. Eigenvalues, eigenvectors, eigenspaces, Characteristies, Polynomial, Minimal Polynomial, Linear Transformation as a matrix operator, geometric and algebraic multiplicity and diagonalisation. Groups: subgroups, cosets, Lagrange’s theorem, homomorphisms.
Applications to coding theory will be chosen from: linear codes, encoding and decoding, the dual code, the parity check matrix, syndrome decoding, Hamming codes, perfect codes, cyclic codes, BCH codes.
To gain proficiency in dealing with abstract concepts, with emphasis on clear explanations of such concepts to others.
To understand the concept of a field and to recognize fields, including finite and infinite fields.
To understand the basic group theoretical concepts such as subgroup, coset and homomorphism, and their elementary properties.
To understand the basic concepts of a vector space over and field, subspaces, bases for a vector space and to be able to recognase these entities in given examples.
To understand what a linear transformation is, the properties of a linear transformation, and the relationship of the matrix of a linear transformation to a given basis.
To be able to calculate eigenvalues and eigenvectors of a linear transformation, and to use these to diagonalise a matrix.
To apply the algebraic concepts that are studied to the theory of error correcting codes.
To use the internet and the library to research some areas of the course.
Any book labeled “Abstract Algebra” or “An Introduction to Abstract Algebra”. Call numbers are AQ 162 and QA266. In addition.
John B Fraleigh
A First Course in Abstract Algebra, 5th edition, Addison-Wesley, 1994, AQ266.F7.
An Introduction to Abstract Algebra, McGraw-Hill, 1968, QA266..L3
Max D Larsen
Introduction to Modern Algebraic Concepts, Addison-Wesley, 1969, QA266.L.36
The Fascination of Groups, Cambridge University Press, 1972, QA 171. B83.
Joel G Broida and S Gill Williamson
A comprehensive Introduction to Linear Algebra, Addison-Wesley, 1989, AQ 184. B75 1989.
Hill, Raymond, 1942
A first course in coding theory, Oxford [Oxford shire]: Clarendon Press; New York:
Oxford University Press, 1986, QA268.H55 1986.
McEliece, Robert J
The theory of information and coding, Cambridge, U.K; New York: Cambridge University Press, 2002, Q360.M25 2002.
Introduction to coding and information theory, New York: Springer, c1997 QA268. R66, 1997
Designs and their codes, Cambridge: Cambridge University Press, 1992, QA268. A88, 1992
Hamming R. W. (Richard Wesley), 1915-
Coding and information theory / Richard W. Hamming, Englewood Cliffs N.J: Prentice-hall, c1986, QA268. H35 1986.
Some electronic references are:
Numbers, Groups and Codes, J.F Humphreys & M. Y. Prest.
Algorithms and its Analysis – Basic concepts and its applications.
Mathematical Foundations: Growth of functions, Asymptotic functions, Summations, Recurrences, Counting and probability.
Divide-and-Conquer algorithms; General method and its analysis, Binary search and its analysis, Merge sort and its analysis, Quick sort and its analysis, Insertion sort and its analysis.
Advanced Design and Analysis Techniques: Dynamic Programming, Greedy algorithms and its applications in scheduling, Generating functions and its application in Recurrences, Permutation Algorithms and its application in sorting, Amortized analysis, Worst-case analysis, Average case analysis.
Graph algorithms: Basic search techniques, Algorithmic binary tees and its application, breadth-first search, Depth-first search, Planner graphs, Graph colouring, Minimum Spanning Trees, Single source shortest paths.
Algorithms for parallel computers. Matrix Operations. Polynomials and the FFT. Number-Theoretic algorithms. NP-completeness. Approximations algorithms. Encyption/Decryption algorithms.
Thomas H. Cormen and Charles E, Leiserson, Introduction to Algorithms, MIT Press, McGraw-Hill (2nd Edition) 1990.
H. Sedgwick Analysis of Algorithms, Addison Wesley, (1st Edition) 1995.
K. Rosen., Discrete Mathematics and its Applications, McGraw Hill, (5th Edition) 1999.
Pathwise connectedness; Notion of homotopy, Homotopy classes, Path homotopy, Path homotopy classes; Fundamental groups, Covering maps, Covering spaces, Lifting properties of covering spaces, Fundamental group of a circle, p1 (Sn ).
1. Kosniowski, C., A first course in algebraic topology, Cambridge University Press, 1980.
2. Greenberg, M.J., Algebraic topology, A first course, Benjamin/Commings, 1967.
3. Wallace, A.H., Algebraic Topology, Homology and Cohomology, Benjamine, 1968.
Compactness in metric spaces, limit point compactness, Sequential compactness and their various characteriztions, equivalence of different notions of compactness.
Connectedness, various characterizations of connectedness, connectedness and T2-spaces, local connectedness, path-connectedness, components.
Homotopic maps, homotopic paths, loop spaces, fundamental groups, covering spaces, the lifting theorem, fundamental groups of the circle, torus etc.
Chain complexes, notion of homology.
1. Greenberg, M.J., Algebraic topology, A first course, The Benjamin/Commings Publishing Company, 1967.
2. Wallace, A.H., Algebraic topology, Homology and eohomology, W.A. Benjamin, Inc., New York, 1968.
3. Gemignani, M.C., Elementry Topology, Addison-Wesley Publishing Company, 1972.
The Hahn-Banach theorem, principle of uniform boundedness, open mapping theorem, closed graph theorem, Weak topologies and the Banach-Alouglu theorem, extreme points and the Klein-Milman theorem.
The dual and bidual spaces, reflexive spaces, compact operators, Spectrum and eigenvalues of an operator, elementary spectral theory.
1. Kreyszing, E., Introductory Functional Analysis and Applications, John Wiley, 1973.
2. Taylor, A.E., and Lay, D.C., Introduction of Functional Analysis, John Wiley, 1979.
3. Heuser, H.G., Functional Analysis, John Wiley, 1982.
4. Groetsch, C.W., Elements of Applicable Functional Analysis, Marcel Dekker, 1980.
Actions of Groups, Permutation representation, Equivalence of actions, Regular representation, Cosets spaces, Linear groups and vector spaces.
Affine groupa and affine spaces, Transitivity and orbits, Partition of G-spaces into orbits, Orbits as conjugacy class Computation of orbits, The classification of transitive G-spaces Catalogue of all transitive G-spaces up to G-isomorphism, One-one correspondence between the right coset of Ga and the G-orbit, G-isomorphism between coset spaces and conjugation in G.
Simplicity of A5, Frobenius-Burnside lemma, Examples of morphisms, G-invariance, Relationship between morphisms and congruences, Order preserving one-one correspondences between congruences on Ω and subrroups H of G that contain the stabilizer Gα.
The alternating groups, Linear groups, Projective groups, Mobius groups, Orthogonal groups, unitary groups, Cauchy’s theorem, P-groups, Sylow P-subgroups, Sylow theorems, Simplicity of An when n > 5.
J.S. Rose, A Course on Group Theory, Cambridge University Press, 1978.
H. Wielandt, Finite Permutation Groups. Academic Press, 1964.
J.B. Fraleigh, A Course in Algebra, Addison-Wesley 1982.
Difinitions and basic concepts, homomorphisms, homomorphism theorems, polynamical rings, unique factorization domain, factorization theory, Euclidean domains, arithemtic in Eclidean domains, extension fields, algebraic and transeendental elements, simple extension, introduction to Galois theory.
1. Fraleigh, J.A., A First Course in Abstract Algebra, Addision Wesley Publishing Company, 1982.
2. Herstein, I.N., Topies in Algebra, John Wiley & Sons 1975.
3. Lang, S., Algebra, Addison Wesley, 1965.
4. Hartley, B., and Hawkes, T.O., Ring, Modules and Linear Algebra, Chapman and Hall, 1980.
Elementary notions and examples, Modules, submodules, quotient modules, finitely generated and cyclic modules, exact sequences and elementary notions of homological algebra, Noetherian and Artinian rings and modules, radicals, semisimple rings and modules.
1. Adamson, J., Rings and modules.
Blyth, T.S., Module theory, Oxford University Press, 1977.
2. Hartley, B. and Hawkes, T.O., Rings, Modules and Linear algebra, Chapman and Hall, 1980.
3. Herstein, I.N., Topics in Algebra, John Wiley and Sons, 1975.
Rings and modules, decomposition of modules, decomposition theorem, the primary decomposition theorem, The primary decomposition, Abelian groups as Z-modules, Abelian groups, Sylow’s theorem, linear transformation and matries, invariants and the Jordan canonical form, the rational canonical form theorem - (linear transformation version), The Jordan canonical form theorem, conjugacy classes in general linear groups.
1 Blyth, T., Module theory, O.U.P., Oxford, 1977.
2 Hartley, B. and Hawkes, T., Rings, modules and linear algebra, Chapman, G., Lecture Nortes on Modules, Michigan University Press.
Real fluids and ideal fluids, velocity of a fluid at a point, streamlines and pathlines, steady and unsteady flows, veclocity potential, vorticity vector, local and particle rates of change, equation of continuity. Acceleration of a fluid, conditions at a rigid boundary, general analysis of fluid motion.
Euler’s equations of motion, Bernoulli’s equation steady motion under conservative body forces, some potential theorems, impulsive motion.
Sources, sinks and doublets, images in rigid infinite plane and solid spheres, axi-symmetric flows, Stokes’s stream function.
Stream function, complex potential for two-dimensional, irrotational, incompressible flow, complex velocity potential for uniform stream. Line sources and line sinks, line doublets and line vortices, image systems, Miline-Thomson circle theroem, Blasius’ theorem, the use of conformal transformation and the Schwarz-Christoffel transformation in solving problems, vortex rows.
Kelvin’ s minimum energy theorem, Uniqueness theorem, fluid streaming past a circular cylinder, irrotational motion produced by a vortex filament.
The Helmholtz vorticity equation, Karman’s vortex-street.
1.Chorlton, F., Textbook of fluid Dynamics, D. Van Nostrand Co. Ltd. 1967.
2.Thomson, M., Theoretical Hydrodynamics, Macmillan Press, 1979.
3.Jaunzemics, W., Continuum Mechanic, Machmillan Company, 1967.
4.Landau, L.D., and Lifshitz, E.M., Fluid Mehanics, Pergamon Press, 1966.
5.Batchelor, G.K., An Introduction to Fluid Dynamics, Cambridge University Press, 1969.
Constitutive equations; Navier-Stoke’s equations; Exact solutions of Navier-Stoke’s equations; Steady unidirectional low; Poiseuille flow; Couette flow; Unsteady unidirectional low; sudden motion of a plane boundary in a fluid at rest; Flow due to an oscillatory boundary; Equations of motion relative to a rotating system; Ekman flow; Dynamical similarity and the Reynold’s number; Flow over a flat plate (Blasius’ solution); Reynold’s equations of turbulent motion.
1. L.D. Landau and E.M. Lifshitz., Fluid Mechanics, Pergamon Press, 1966.
2. Batchelor, G.K. , An Introduction to Fluid Dynamics, Cambidge University Press,1969.
3.Walter Jaunzemis, Continuum Mechanics, MacMillan Company, 1967.
4. Milne-Thomson, Theoretical Hydrodynamics, MacMillan Company, 1967.
Cartesian tensors; analysis of stress and strain, generalized Hooke’s law; crystalline structure, point groups of crystals, reduction in the number of elastic moduli due to crystal symmetry; equations of equilibrium; boundary conditions, compatibility equations; plane stress and plane strain problems; two dimensional problems in rectangular and polar co-ordinates; torsion of rods and beams.
1. Sokolinikoff., Mathematical theory of Elasticity, McGraw-Hill, New York.
2. Dieulesaint, E. and Royer, D., Elastic Waves in Solids, John Wiley and Sons,
New York, 1980.
3. Funk, Y.C., Foundations of Solid Mechanics, Prentice-Hall, Englewood Cliffs, 1965.
Historical background and fundamental concepts of Special theory of Relativity. Lorentz transformations (for motion along one axis). Length contraction, Time dilation and simultaneity. Velocity addition formulae. 3-dimensional Lorentz transformations. Introduction to 4-vector formalism. Lorentz transformations in the 4-vector formalism. The Lorentz and Poincare groups. Introduction to classical Mechanics. Minkowski spacetime and null cone. 4-velocity, 4-momentum and 4-force. Application of Special Relativity to Doppler shift and Compton effect. Particle scattering. Binding energy, particle production and decay. Electromagnetism in Relativity. Electric current. Maxwell’s equations and electromagnetic waves. The 4-vector formulation of Maxwell’s equations. Special Relativity with small acceleration.
1. Qadir, A. Relativity, An Introduction to the Special Theory, World Scientific, 1989.
2. D’ Inverno. R., Introducing Einstein’s Relativity, Oxford University Press, 1992.
3. Goldstein, H., Classical Mechanics, Addison Wesley, New York, 1962.
4. Jackson, J.D., Classical Electrodynamics, John Wiley, New York, 1962.
5. Rindler, W., Essential Relativity, Springer-Verlag, 1977.
The Einstein field equations. The principles of general relativity. The stress-energy momentum tensor. The vacuum Einstein equations and the Schwarzschild solution. The three classical tests of general relativity. The homogeneous sphere and the interior Schwarzschild solution. Birkhoff’s theorem. The Reissner-Nordstrom solution and the generalised Birkhoff’s theorem. The Kerr and Kerr-Newman solution. Essential and coordinate singularities. Event horizon and black holes. Eddington-Finkelstein. Kruskal-Szekres coordinates. Penrose diagrams for Schwarzschild, Reissner-Nordstrom solutions.
1.Wald, R.M., Introduction to General Relativity, University of Chicago Press, Chicago,1984.
2.Adler, R., Bazine, M., and Schiffer, M., Introduction to General Relativity, McGraw- Hill Inc., 1965.
3.Rindler, W., Essential Relativity, Springer Verlag 1977.
Constraints, generalized co-ordinates, generalized forces, general equation of dynamics, Lagrange’s equations, conservation laws, ignorable co-ordinates, Explicit form of Lagranges equation in terms of tensors. Hamilton’s principle, principle of least action, Hamilton’s equations of motion, Hamilton-Jacobi Method. Poisson Brackets (P.B’s); Poisson’s theorem; Solution of mechanical problems by algebraic technique based on (P.B’s). Small oscilations and normal modes, vibrations of straings, transverse vibrations, normal modes, forced vibrations and damping, reflection and transmission at a discontinuity, Iongitudinal vibrations, Rayleigh’s principle.
1.Chorlton, F., Textbook of dynamics, Van Nostrand, 1963.
2.Chester, W., Mechanics, George Allen and Unwin Ltd., London 1979.
3.Goldstein, H., Classical Mechanics, Cambridge, Mass Addison-Wesley, 1980.
4.G. Meirovitch. L., Methods of Analytical Dynamics, McGraw-Hill, 1970.
Electrostatics and the solution of electrostatic problems in vacuum and in media, Electrostatic energy, Electric currents, The magnetic field of steady currents, Magnetic properties of matter. Magnetic energy, Electromagnetic Induction, Maxwell’s equations, Boundary Value Potential Problems in two dimensions, Electromagnetic Waves, Radiation, Motion of electric charges.
1. Reitz, J.R. and Milford, F.J., Foundation of electromagnetic theory, Addision-Wesley, 1969.
2. Panofsky, K.H. and Philips, M., Classical Electricity and Magnetism, Addision-Wesley, 1962.
3. Corson, D. and Lerrain, P., Introduction to Electromagnetic fields and waves, Freeman, 1962.
4. Jackson, D.W., Classical Electrodynamics, John-Wiley.
5. Ferraro, V.C.A., Electromagnetic theory, The Athlone Press, 1968.
Basic postulates of quantum mechanics. State vectors. Formal properties of quantum mechanical operators. Eigenvalues and eigenstates, simple harmonic oscillator. Schrodinger representation. Heisenberg equation of motion Schrodinger equation. Potential step, potential barrier, potential well. Orbital angular momentum. Motion in a centrally symmetric field. Hydrogen atom. Matrix representation of angular momentum and spin. Time independent perturbation theory, degeneracy. The Stark effect. Introduction to relativistic Quantum Mechanics.
1. Fayyazuddin and Riazuddin, Quantum Mechanics, World Scientific 1990.
2. Merzbacher, E., Quantum Mechanics, John Wiley 2nd Ed. 1970.
3. Liboff, R.L., Introductory Quantum Mechanics, Addision-Wesley 2nd Ed. 1991.
4. Dirac, P.M.A., Principles of Quantum Mechanics, (Latest Edition), Oxford University Press.
Department of Mathematics, Quaid-i-Azam
University Islamabad, 45320, Pakistan.