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Mathematics - Indian Institute of Science

Mathematics Semester 1 (AUG) UM 101: Analysis and Linear Algebra I (3:0) One-variable calculus: Real and Complex numbers; Convergence of sequences and series; Continuity, intermediate value theorem, existence of maxima and minima; Differentiation, mean value theorem, Taylor series; Integration, fundamental theorem of Calculus, improper integrals. Linear Algebra: Vector spaces (over real and complex numbers), basis and dimension; Linear transformations and matrices. Instructor: A. Ayyer Suggested books: 1.

Mathematics Semester 1 (AUG) ... 2. T.W. Gamelin, Complex Analysis, Springer Undergraduate Texts in Mathematics, Springer International Edition, 2006

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Transcription of Mathematics - Indian Institute of Science

1 Mathematics Semester 1 (AUG) UM 101: Analysis and Linear Algebra I (3:0) One-variable calculus: Real and Complex numbers; Convergence of sequences and series; Continuity, intermediate value theorem, existence of maxima and minima; Differentiation, mean value theorem, Taylor series; Integration, fundamental theorem of Calculus, improper integrals. Linear Algebra: Vector spaces (over real and complex numbers), basis and dimension; Linear transformations and matrices. Instructor: A. Ayyer Suggested books: 1.

2 T M Apostol, Calculus, Volume I, 2nd. Edition, Wiley, India, 2007. 2. G. Strang, Linear Algebra And Its Applications, 4th Edition, Brooks/Cole, 2006. Semester 2 (JAN) UM 102: Analysis and Linear Algebra II (3:0) Linear Algebra continued: Inner products and Orthogonality; Determinants; Eigenvalues and Eigenvectors; Diagonalisation of Symmetric matrices. Multivariable calculus: Functions on Rn Partial and Total derivatives; Chain rule; Maxima, minima and saddles; Lagrange multipliers; Integration in Rn, change of variables, Fubini's theorem; Gradient, Divergence and Curl; Line and Surface integrals in R2 and R3; Stokes, Green's and Divergence theorems.

3 Introduction to Ordinary Differential Equations; Linear ODEs and Canonical forms for linear transformations. Instructor: T. Bhattacharyya Suggested books: 1. T. M. Apostol, Calculus, Volume II, 2nd. Edition, Wiley Wiley India, 2007. 2. G. Strang, Linear Algebra And Its Applications, 4th Edition, Brooks/Cole, 2006 3. M. Artin, Algebra, Prentice Hall of India, 1994. 4. M. Hirsch, S. Smale, R. L. Devaney, Differential Equations, Dynamical Systems, and an Introduction to Chaos, 2nd Edition, Academic Press, 2004.

4 Semester 3 (AUG) UM 201: Probability and Statistics (3:0) Basic notions of probability, conditional probability and independence, Bayes' theorem, random variables and distributions, expectation and variance, conditional expectation, moment generating functions, limit theorems. Samples and sampling distributions, estimations of parameters, testing of hypotheses, regression, correlation and analysis of variance. Instructor: S. Iyer Suggested books: 1. Sheldon Ross, A First Course in Probability, 2005, Pearson Education Inc.

5 , Delhi, Sixth Edition. 2. Sheldon Ross, Introduction to Probability and Statistics for Engineers and Scientists, Elsevier, 2010, Fourth edition. 3. William Feller, An Introduction to Probability Theory and Its Applications, Wiley India, 2009, Third edition. 4. R. V. Hogg and J. Ledolter, Engineering Statistics, 1987, Macmillan Publishing Company, New York. Semester 4 (JAN) UM 202: Multivariable Calculus and Complex Variables (3:0) (core course for Mathematics major and minor) Topolgy of Rn: Notions of compact sets and connected sets, the Heine-Borel theorem, uniform continuity, Cauchy sequences and completeness.

6 Review of total derivatives, inverse and implicit function theorems. Review of Green s theorem and Stokes theorem. Complex linearity, the Cauchy-Riemann equations and complex-analytic functions. M bius transformations, the Riemann sphere and the mapping properties of M bius transformations. Some properties of complex-analytic functions, and examples. Instructor: G. Bharali Suggested books: 1. Apostol, Calculus, Volume II, 2nd. Edition, Wiley India, 2007. 2. Gamelin, Complex Analysis, Springer undergraduate texts in Mathematics , Springer International Edition, 2006 UM 203: Elementary Algebra and Number Theory (3.)

7 0) (core course for Mathematics major and minor) Divisibility and Euclid's algorithm, Fundamental theorem of Arithmetic, Congruences, Fermat's little theorem and Euler's theorem, the ring of integers modulo n, factorisation of polynomials, Elementary symmetric functions, Eisenstein's irreducibility criteria, Formal power series, arithmetic functions, Prime residue class groups, quadratic reciprocity. Basic concepts of rings, Fields and groups. Applications to number theory. Instructor: S. Das Suggested books: 1.

8 D. M. Burton, Elementary number theory, McGraw Hill. 2. Niven, H. S. Zuckerman and H. L. Montgomery, An Introduction To The Theory Of Numbers, 5th Edition, Wiley Student Editions 3. G. Fraleigh, A First Course in Abstract Algebra, 7th Edition, Pearson. Semester 5 (AUG) MA 212: Algebra (3:0) (core course for Mathematics major and minor) Groups: Review of Groups, Subgroups, Homomorphisms, Normal subgroups, Quotient groups, Isomorphism theorems. Group actions and its applications, Sylow theorems.

9 Structure of finitely generated abelian groups, Free groups. Rings: Review of rings, Homomorphisms, Ideals and isomorphism theorems. Prime ideals and maximal ideals. Chinese remainder theorem. Euclidean domains, Principal ideal domains, Unique factorization domains. Factorization in polynomial rings. Modules: Modules, Homomorphisms and exact sequences. Free modules. Hom and tensor products. Structure theorem for modules over PIDs. Instructor: A. Banerjee Suggested books: 1. Lang, S., Algebra, revised third editiom.

10 Springer-Verlag, 2002 ( Indian Edition Available). 2. Artin, M., Algebra, Prentice-Hall of India, 1994. 3. Dummit, D. S. and Foote, R. M., Abstract Algebra, John Wiley & Sons, 2001. 4. Hungerford, T. W., Algebra, Springer (India), 2004 5. Herstein, I. N., Topics in Algebra, John Wiley & Sons, 1995. MA 219: Linear Algebra (3:0) (core course for Mathematics major and minor) Vector spaces: Basis and dimension, Direct sums. Determinants: Theory of determinants, Cramer s rule. Linear transformations: Rank-nullity theorem, Algebra of linear transformations, Dual spaces.


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