Draft syllabus for b. A/B. Sc. (Honours) in mathematics under Choice Based Credit System (cbcs) Effective from the academic session 2017-2018 sidho-kanho-birsha university purulia-723104 West Bengal



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Reference Books

  1. G.B. Thomas and R.L. Finney, Calculus, 9th Ed., Pearson Education, Delhi, 2005.

  2. M.J. Strauss, G.L. Bradley and K. J. Smith, Calculus, 3rd Ed., Dorling Kindersley (India) Pvt. Ltd. (Pearson Education), Delhi, 2007.

  3. E. Marsden, A.J. Tromba and A. Weinstein, Basic Multivariable Calculus, Springer (SIE), Indian reprint, 2005.

  4. James Stewart, Multivariable Calculus, Concepts and Contexts, 2nd Ed., Brooks /Cole, Thomson Learning, USA, 2001 Tom M. Apostol, Mathematical Analysis, Narosa Publishing House

  5. Courant and John, Introduction to Calculus and Analysis, Vol II, Springer

  6. W. Rudin, Principles of Mathematical Analysis, Tata McGraw-Hill

  7. Marsden, J., and Tromba, Vector Calculus, McGraw Hill.

  8. Tyn Myint-U and Lokenath Debnath, Linear Partial Differential Equations for Scientists and Engineers, 4th edition, Springer, Indian reprint, 2006.

  9. Martha L Abell, James P Braselton, Differential equations with MATHEMATICA, 3rd Ed., Elsevier Academic Press, 2004.

  10. Sneddon, I. N., Elements of Partial Differential Equations, McGraw Hill.

  11. Miller, F. H., Partial Differential Equations, John Wiley and Sons

  12. Maity, K.C. and Ghosh, R.K. Vector Analysis, New Central Book Agency (P) Ltd. Kolkata (India). Terence Tao, Analysis II, Hindustan Book Agency, 2006

  13. M.R. Speigel, Schaum’s outline of Vector Analysis.

CC10 – Ring Theory and Linear Algebra I [Credit: 1+5]

Unit 1


Definition and examples of rings, properties of rings, subrings, integral domains and fields, characteristic of a ring. Ideal, ideal generated by a subset of a ring, factor rings, operations on ideals, prime and maximal ideals.

Ring homomorphisms, properties of ring homomorphisms. Isomorphism theorems I, II and III, field of quotients.

Unit 2

Vector spaces, subspaces, algebra of subspaces, quotient spaces, linear combination of vectors, linear span, linear independence, basis and dimension, dimension of subspaces.



Linear transformations, null space, range, rank and nullity of a linear transformation, matrix representation of a linear transformation, algebra of linear transformations. Isomorphisms. Isomorphism theorems, invertibility and isomorphisms, change of coordinate matrix.

Reference Books



  1. John B. Fraleigh, A First Course in Abstract Algebra, 7th Ed., Pearson, 2002.

  2. M. Artin, Abstract Algebra, 2nd Ed., Pearson, 2011.

  3. Stephen H. Friedberg, Arnold J. Insel, Lawrence E. Spence, Linear Algebra, 4th Ed., Prentice- Hall of India Pvt. Ltd., New Delhi, 2004.

  4. Joseph A. Gallian, Contemporary Abstract Algebra, 4th Ed., Narosa Publishing House, New Delhi, 1999. S. Lang, Introduction to Linear Algebra, 2nd Ed., Springer, 2005.

  5. Gilbert Strang, Linear Algebra and its Applications, Thomson, 2007.

  6. S. Kumaresan, Linear Algebra- A Geometric Approach, Prentice Hall of India, 1999.

  7. Kenneth Hoffman, Ray Alden Kunze, Linear Algebra, 2nd Ed., Prentice-Hall of India Pvt. Ltd., 1971. D.A.R. Wallace, Groups, Rings and Fields, Springer Verlag London Ltd., 1998.

  8. D.S. Malik, John M. Mordeson and M.K. Sen, Fundamentals of abstract algebra.

CC11 – Metric Spaces and Complex Analysis [Credit: 1+5]

Unit 1 [Credit: 2]

Metric spaces: Sequences in metric spaces, Cauchy sequences. Complete Metric Spaces, Cantor’s theorem.

Continuous mappings, sequential criterion and other characterizations of continuity. Uniform continuity. Connectedness, connected subsets of R.

Compactness: Sequential compactness, Heine-Borel property, Totally bounded spaces, finite intersection property, and continuous functions on compact sets.

Homeomorphism. Contraction mappings. Banach Fixed point Theorem and its application to ordinary differential equation.

Unit 2 [Credit: 3]

Limits, Limits involving the point at infinity, continuity. Properties of complex numbers, regions in the complex plane, functions of complex variable, mappings.

Derivatives, differentiation formulas, Cauchy-Riemann equations, sufficient conditions for differentiability.

Analytic functions, examples of analytic functions, exponential function, Logarithmic function, trigonometric function, derivatives of functions, and definite integrals of functions. Contours, Contour integrals and its examples, upper bounds for moduli of contour integrals. Cauchy- Goursat theorem, Cauchy integral formula.

Liouville’s theorem and the fundamental theorem of algebra. Convergence of sequences and series, Taylor series and its examples.

Laurent series and its examples, absolute and uniform convergence of power series.



Reference Books

  1. Satish Shirali and Harikishan L. Vasudeva, Metric Spaces, Springer Verlag, London, 2006.

  2. S. Kumaresan, Topology of Metric Spaces, 2nd Ed., Narosa Publishing House, 2011.

  3. G.F. Simmons, Introduction to Topology and Modern Analysis, McGraw-Hill, 2004.

  4. James Ward Brown and Ruel V. Churchill, Complex Variables and Applications, 8th Ed., McGraw – Hill International Edition, 2009.

  5. Joseph Bak and Donald J. Newman, Complex Analysis, 2nd Ed., Undergraduate Texts in Mathematics, Springer-Verlag New York, Inc., NewYork, 1997.

  6. S. Ponnusamy, Foundations of complex analysis.

  7. E.M.Stein and R. Shakrachi, Complex Analysis, Princeton University Press.

CC12 – Group Theory II, Ring theory-II, Linear Algebra-II [Credit: 1+5]

Unit 1


Group actions, stabilizers and kernels, permutation representation associated with a given group action. Generalized Cayley’s theorem.

Groups acting on themselves by conjugation, class equation and consequences, conjugacy in Sn, p-groups, Sylow’s theorems and consequences, Cauchy’s theorem,

Unit 2

Euclidean Domain, PID, UFD, Polynomial Ring.



Unit-3

Inner product spaces and norms, Gram-Schmidt orthogonalisation process, orthogonal complements, Bessel’s inequality, the adjoint of a linear operator. Least Squares Approximation, minimal solutions to systems of linear equations. Normal and self-adjoint operators. Orthogonal projections and Spectral theorem.



Reference Books

  1. John B. Fraleigh, A First Course in Abstract Algebra, 7th Ed., Pearson, 2002.

  2. M. Artin, Abstract Algebra, 2nd Ed., Pearson, 2011.

  3. Joseph A. Gallian, Contemporary Abstract Algebra, 4th Ed., Narosa Publishing House, 1999.

  4. Stephen H. Friedberg, Arnold J. Insel, Lawrence E. Spence, Linear Algebra, 4th Ed., Prentice- Hall of India Pvt. Ltd., New Delhi, 2004.

  5. S. Lang, Introduction to Linear Algebra, 2nd Ed., Springer, 2005.

  6. Gilbert Strang, Linear Algebra and its Applications, Thomson, 2007.

  7. S. Kumaresan, Linear Algebra- A Geometric Approach, Prentice Hall of India, 1999.

  8. Kenneth Hoffman, Ray Alden Kunze, Linear Algebra, 2nd Ed., Prentice-Hall of India Pvt. Ltd., 1971.

  9. S.H. Friedberg, A.L. Insel and L.E. Spence, Linear Algebra, Prentice Hall of India Pvt. Ltd., 2004

  10. David S. Dummit and Richard M. Foote, Abstract Algebra, 3rd Ed., John Wiley and Sons (Asia) Pvt. Ltd., Singapore, 2004.

  11. J.R. Durbin, Modern Algebra, John Wiley & Sons, New York Inc., 2000.

  12. D. A. R. Wallace, Groups, Rings and Fields, Springer Verlag London Ltd., 1998

  13. D.S. Malik, John M. Mordeson and M.K. Sen, Fundamentals of abstract algebra.

  14. I.N. Herstein, Topics in Algebra, Wiley Eastern Limited, India, 1975.

CC13 – Numerical Methods & Computer Programming [Credit: 1+5]

Unit 1 [Credit: 3]

Algorithms. Convergence. Errors: Relative, Absolute. Round off. Truncation.

Transcendental and Polynomial equations: Bisection method, Newton’s method, Secant method, Regula-falsi method, fixed point iteration, Newton-Raphson method. Rate of convergence of these methods.

System of linear algebraic equations: Gaussian Elimination and Gauss Jordan methods. Gauss Jacobi method, Gauss Seidel method and their convergence analysis. LU Decomposition

Interpolation: Lagrange and Newton’s methods. Error bounds. Finite difference operators. Gregory forward and backward difference interpolation.

Numerical differentiation: Methods based on interpolations, methods based on finite differences.

Numerical Integration: Newton Cotes formula, Trapezoidal rule, Simpson’s 1/3rd rule, Simpsons 3/8th rule, Weddle’s rule, Boole’s Rule. Midpoint rule, Composite Trapezoidal rule, Composite Simpson’s 1/3rd rule, Gauss quadrature formula.

The algebraic eigenvalue problem: Power method.

Approximation: Least square polynomial approximation.

Ordinary Differential Equations: The method of successive approximations, Euler’s method, the modified Euler method, Runge-Kutta methods of orders two and four.

Unit 2 [Credit: 2]

Introduction: Basic structures, Character set, Keywords, Identifiers, Constants, Variable-type declaration

Operators: Arithmetic, Relational, Logical, assignment, Increment, decrement, Conditional. Operator precedence and associativity, Arithmetic expression,

Statement: Input and Output, Define, Assignment, User define, Decision making (branching and looping) – Simple and nested IF, IF – ELSE, LADDER, SWITCH, GOTO, DO, WHILE – DO, FOR, BREAK AND CONTINUE Statements. Arrays- one and two dimensions, user defined functions,

References


  1. Xavier, C., C Language and Numerical Methods, (New Age Intl (P) Ltd. Pub.)

  2. Gottfried, B. S., Programming with C (TMH).

  3. Balaguruswamy, E., Programming in ANSI C (TMH).

  4. Scheid, F., Computers and Programming (Schaum’s series)

  5. Jeyapoovan, T., A first course in Programming with C.

  6. Litvin and Litvin, Programming in C++.

  1. Brian Bradie, A Friendly Introduction to Numerical Analysis, Pearson Education, India, 2007.

  2. M.K. Jain, S.R.K. Iyengar and R.K. Jain, Numerical Methods for Scientific and Engineering

  3. Computation, 6th Ed., New age International Publisher, India, 2007.

  4. C.F. Gerald and P.O. Wheatley, Applied Numerical Analysis, Pearson Education, India, 2008.

  5. Uri M. Ascher and Chen Greif, A First Course in Numerical Methods, 7th Ed., PHI Learning Private Limited, 2013.

  6. John H. Mathews and Kurtis D. Fink, Numerical Methods using Matlab, 4th Ed., PHI Learning Private Limited, 2012.

  7. Scarborough, James B., Numerical Mathematical Analysis, Oxford and IBH publishing co.

  8. Atkinson, K. E., An Introduction to Numerical Analysis, John Wiley and Sons, 1978.

  9. YashavantKanetkar, Let Us C , BPB Publications.

CC14 – Computer Aided Numerical & Statistical Practical (P)

List of practical C language

1. Calculate the sum 1/1 + 1/2 + 1/3 + 1/4 + ----------+ 1/ N.

2. Enter 100 integers into an array and sort them in an ascending order.

3. Solution of transcendental and algebraic equations by

a. Newton Raphson method.

b. Fixed point method.

4. Solution of system of linear equations

a. Gaussian elimination method

b. Gauss-Seidel method

5. Interpolation

a. Lagrange Interpolation

b. Newton Interpolation

6. Numerical Integration

a. Trapezoidal Rule

b. Simpson’s one third rule

7. Solution of ordinary differential equations

a. Euler method

b. Modified Euler method

c. Runge Kutta method



Department Specific Electives Subjects Syllabus

DS1 – Linear Programming

Introduction to linear programming problem. Theory of simplex method, graphical solution, convex sets, optimality and unboundedness, the simplex algorithm, simplex method in tableau format, introduction to artificial variables, two‐phase method. Big‐M method and their comparison.

Duality, formulation of the dual problem, primal‐dual relationships, economic interpretation of the dual.

Transportation problem and its mathematical formulation, northwest‐corner method, least cost method and Vogel approximation method for determination of starting basic solution, algorithm for solving transportation problem, assignment problem and its mathematical formulation, Hungarian method for solving assignment problem.

Game theory: formulation of two person zero sum games, solving two person zero sum games, games with mixed strategies, graphical solution procedure, linear programming solution of games.

Reference Books


  1. Mokhtar S. Bazaraa, John J. Jarvis and Hanif D. Sherali, Linear Programming and Network Flows, 2nd Ed., John Wiley and Sons, India, 2004.

  2. F.S. Hillier and G.J. Lieberman, Introduction to Operations Research, 9th Ed., Tata McGraw Hill, Singapore, 2009.

  3. Hamdy A. Taha, Operations Research, An Introduction, 8th Ed., Prentice‐Hall India, 2006.

  4. G. Hadley, Linear Programming, Narosa Publishing House, New Delhi, 2002.

DS2- Probability and Statistics

Sample space, probability axioms, real random variables (discrete and continuous), cumulative distribution function, probability mass/density functions, mathematical expectation, moments, moment generating function, characteristic function, discrete distributions: uniform, binomial, Poisson, geometric, negative binomial, continuous distributions: uniform, normal, exponential.

Joint cumulative distribution function and its properties, joint probability density functions, marginal and conditional distributions, expectation of function of two random variables, conditional expectations, independent random variables, bivariate normal distribution, correlation coefficient, joint moment generating function (jmgf) and calculation of covariance (from jmgf), linear regression for two variables.

Chebyshev’s inequality, statement and interpretation of (weak) law of large numbers and strong law of large numbers. Central Limit theorem for independent and identically distributed random variables with finite variance, Markov Chains, Chapman-Kolmogorov equations, classification of states.

Random Samples, Sampling Distributions, Estimation of parameters, Testing of hypothesis.

Reference Books


  1. Robert V. Hogg, Joseph W. McKean and Allen T. Craig, Introduction to Mathematical Statistics, Pearson Education, Asia, 2007.

  2. Irwin Miller and Marylees Miller, John E. Freund, Mathematical Statistics with Applications, 7th Ed., Pearson Education, Asia, 2006.

  3. Sheldon Ross, Introduction to Probability Models, 9th Ed., Academic Press, Indian Reprint, 2007.

DS3- Number Theory

Linear Diophantine equation, prime counting function, statement of prime number theorem, Goldbach conjecture, linear congruences, complete set of residues, Chinese Remainder theorem, Fermat’s Little theorem, Wilson’s theorem.

Number theoretic functions, sum and number of divisors, totally multiplicative functions, definition and properties of the Dirichlet product, the Mobius Inversion formula, the greatest integer function, Euler’s phi‐function, Euler’s theorem, reduced set of residues. some properties of Euler’s phi-function.

Order of an integer modulo n, primitive roots for primes, composite numbers having primitive roots, Euler’s criterion, the Legendre symbol and its properties, quadratic reciprocity, quadratic congruences with composite moduli. Public key encryption, RSA encryption and decryption, the equation x2 + y2= z2, Fermat’s Last theorem.



Reference Books

  1. David M. Burton, Elementary Number Theory, 6th Ed., Tata McGraw‐Hill, Indian reprint, 2007.

  2. Neville Robinns, Beginning Number Theory, 2nd Ed., Narosa Publishing House Pvt. Ltd., Delhi, 2007

DS4- Mechanics

Co-planar forces. Astatic equilibrium. Friction. Equilibrium of a particle on a rough curve. Virtual work. Forces in three dimensions. General conditions of equilibrium. Centre of gravity for different bodies. Stable and unstable equilibrium.

Equations of motion referred to a set of rotating axes. Motion of a projectile in a resisting medium. Stability of nearly circular orbits. Motion under the inverse square law. Slightly disturbed orbits. Motion of artificial satellites. Motion of a particle in three dimensions. Motion on a smooth sphere, cone, and on any surface of revolution.

Degrees of freedom. Moments and products of inertia. Momental Ellipsoid. Principal axes. D’Alembert’s Principle. Motion about a fixed axis. Compound pendulum. Motion of a rigid body in two dimensions under finite and impulsive forces. Conservation of momentum and energy.



Reference Books

  1. I.H. Shames and G. Krishna Mohan Rao, Engineering Mechanics: Statics and Dynamics, (4th Ed.), Dorling Kindersley (India) Pvt. Ltd. (Pearson Education), Delhi, 2009.

  2. R.C. Hibbeler and Ashok Gupta, Engineering Mechanics: Statics and Dynamics, 11th Ed., Dorling Kindersley (India) Pvt. Ltd. (Pearson Education), Delhi.

  3. Chorlton, F., Textbook of Dynamics.

  4. Loney, S. L., An Elementary Treatise on the Dynamics of particle and of Rigid Bodies

  5. Loney, S. L., Elements of Statics and Dynamics I and II.

  6. Ghosh, M. C, Analytical Statics.

  7. Verma, R. S., A Textbook on Statics, Pothishala, 1962.

  8. Matiur Rahman, Md., Statics.

  9. Ramsey, A. S., Dynamics (Part I).

DS5- Differential Geometry

Theory of Space Curves: Space curves. Planer curves, Curvature, torsion and Serret-Frenet formula. Osculating circles, Osculating circles and spheres. Existence of space curves. Evolutes and involutes of curves.

Theory of Surfaces: Parametric curves on surfaces. Direction coefficients. First and second Fundamental forms. Principal and Gaussian curvatures. Lines of curvature, Euler’s theorem.

Rodrigue’s formula. Conjugate and Asymptotic lines.

Developables: Developable associated with space curves and curves on surfaces, Minimal surfaces.

Geodesics: Canonical geodesic equations. Nature of geodesics on a surface of revolution.

Clairaut’s theorem. Normal property of geodesics. Torsion of a geodesic. Geodesic curvature.

Gauss-Bonnet theorem.



Reference Books

  1. T.J. Willmore, An Introduction to Differential Geometry, Dover Publications, 2012.

  2. B. O'Neill, Elementary Differential Geometry, 2nd Ed., Academic Press, 2006.

  3. C.E. Weatherburn, Differential Geometry of Three Dimensions, Cambridge University Press 2003.

  4. D.J. Struik, Lectures on Classical Differential Geometry, Dover Publications, 1988.

  5. S. Lang, Fundamentals of Differential Geometry, Springer, 1999.

  6. B. Spain, Tensor Calculus: A Concise Course, Dover Publications, 2003

Generic Elective Courses

GE1 – Calculus, Geometry & Differential Equation [Credit: 1+5]

Unit -1

Hyperbolic functions, higher order derivatives, Leibnitz rule of successive differentiation and its applications, concavity and inflection points, envelopes, asymptotes, curve tracing in Cartesian coordinates, tracing in polar coordinates of standard curves, L’Hospital’s rule, applications in business, economics and life sciences.



Unit-2

Reduction formulae, derivations and illustrations of reduction formulae, parametric equations, parametrizing a curve, arc length, arc length of parametric curves, area of surface of revolution.

Techniques of sketching conics.

Unit -3

Reflection properties of conics, translation and rotation of axes and second degree equations, classification of conics using the discriminant, polar equations of conics.

Spheres. Cylindrical surfaces. Central conicoids, paraboloids, plane sections of conicoids, Generating lines, classification of quadrics, Illustrations of graphing standard quadric surfaces like cone, ellipsoid.

Unit-4

Differential equations and mathematical models. General, particular, explicit, implicit and singular solutions of a differential equation. Exact differential equations and integrating factors, separable equations and equations reducible to this form, linear equation and Bernoulli equations, special integrating factors and transformations.



Graphical Demonstration (Teaching Aid)

1. Plotting of graphs of function eax + b, log(ax + b), 1/(ax + b), sin(ax + b), cos(ax + b), |ax + b| and to illustrate the effect of a and b on the graph.



2. Plotting the graphs of polynomial of degree 4 and 5, the derivative graph, the second derivative graph and comparing them.

3. Sketching parametric curves (Eg. Trochoid, cycloid, epicycloids, hypocycloid).

4. Obtaining surface of revolution of curves.

5. Tracing of conics in Cartesian coordinates/ polar coordinates.

6. Sketching ellipsoid, hyperboloid of one and two sheets, elliptic cone, elliptic, paraboloid, and hyperbolic paraboloid using Cartesian coordinates.

Reference Books

  1. G.B. Thomas and R.L. Finney, Calculus, 9th Ed., Pearson Education, Delhi, 2005.

  2. M.J. Strauss, G.L. Bradley and K. J. Smith, Calculus, 3rd Ed., Dorling Kindersley (India) P. Ltd. (Pearson Education), Delhi, 2007.

  3. H. Anton, I. Bivens and S. Davis, Calculus, 7th Ed., John Wiley and Sons (Asia) P. Ltd., Singapore, 2002.

  4. R. Courant and F. John, Introduction to Calculus and Analysis (Volumes I & II), Springer- Verlag, New York, Inc., 1989.

  5. S.L. Ross, Differential Equations, 3rd Ed., John Wiley and Sons, India, 2004.

  6. Murray, D., Introductory Course in Differential Equations, Longmans Green and Co.

  7. G.F.Simmons, Differential Equations, Tata Mcgraw Hill.

  8. T. Apostol, Calculus, Volumes I and II.

  9. S. Goldberg, Calculus and mathematical analysis.

  10. S.C. Malik and S. Arora, Mathematical analysis.

  11. Shantinarayan, Mathematical analysis.

  12. J.G. Chakraborty & P.R.Ghosh, Advanced analytical geometry.

  13. S.L.Loney, Coordinate geometry.

GE2 – Algebra [Credit: 1+5]

Unit -1 [Credit: 3]

Polar representation of complex numbers, n-th roots of unity, De Moivre’s theorem for rational indices and its applications.

Theory of equations: Relation between roots and coefficients, Transformation of equation, Descartes rule of signs, Cubic and biquadratic equations, special roots, reciprocal equation, binomial equation.

Inequality: The inequality involving AM≥GM≥HM, Cauchy-Schwartz inequality.

Equivalence relations and partitions, Functions, Composition of functions, Invertible functions, One to one correspondence and cardinality of a set. Well-ordering property of positive integers, Division algorithm, Divisibility and Euclidean algorithm. Congruence relation between integers. Principles of Mathematical Induction, statement of Fundamental Theorem of Arithmetic.

Unit -2 [Credit: 2]

Systems of linear equations, row reduction and echelon forms, vector equations, the matrix equation Ax=b, solution sets of linear systems, applications of linear systems, linear independence.

Introduction to linear transformations, matrix of a linear transformation, inverse of a matrix, characterizations of invertible matrices. Subspaces of Rn, dimension of subspaces of Rn, rank of a matrix, Eigen values, Eigen Vectors and Characteristic Equation of a matrix. Cayley-Hamilton theorem and its use in finding the inverse of a matrix.


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