(xi) Non-Negative Matrix Theory(MA6002):4-0-0: 4 Credits Prerequisite: Linear AlgebraMatrices which leave a cone invariant: Introduction, Cones, Convex cones, Polyhedral cones, Solids,Spectral properties <strong>of</strong> matrices which leave a cone invariant, Cone primitivity. Nonnegative Matrices:Nonnegative matrices , Inequalities <strong>and</strong> Generalities, Positive matrices, Nonnegative IrriducibleMatrices, Perron’s Theorem, Perron-Frobenius Theory, Nonsingular M-matrices. Reducible Matrices,Primitive Matrices, A Genenral Limit Theorem Stochastic <strong>and</strong> Doubly Stochastic Matrices: TheBirkh<strong>of</strong>f-von Neumann Theorem, Fully indecomposable matrices, Konig's Theorem <strong>and</strong> rank.Semigroups <strong>of</strong> Nonnegative Matrices: Algebraic semigroups, Nonnegative idempotents, Thesemigroup N n , The semigroup Doubly Stochastic Matrices D n . Symmetric Nonnegative Matrices:Inverse eigenvalue problems, Nonnegative matrices with given sums, Some applications.Texts:1. Berman <strong>and</strong> Plemmons, Nonnegative Matrices in the Mathematical Sciences, SIAM, 1994.2. Henryk Minc, Nonnegative matrices, Wiley-Interscience Pub., 1988.References:1. Bapat <strong>and</strong> Raghavan, Nonnegative Matrices <strong>and</strong> Applications, Cambridge University Press, 2009.2. R. A. Horn <strong>and</strong> C. R. Johnson, Matrix Analysis, Cambridge University Press, 2 nd Edition 2012.3. E. Seneta, Non-negative Matrices <strong>and</strong> Markov Chains, Springer, 2 nd edition, 2006.(xii) Advanced Complex Analysis (MA6003):3-1-0: 4 Credits Prerequisite: Complex AnalysisSeries <strong>and</strong> product developments: Power series expansions, Partial fractions <strong>and</strong> factorizations; Entirefunctions: The Hadamard’s theorem, Jensen’s formula, The Riemann zeta function; Normal families:Equicontinuity, Normality <strong>and</strong> compactness, Arzela’s theore; Analytic continuation <strong>and</strong> Riemannsurfaces: Germs <strong>and</strong> sheaves, Analytic continuations along arcs, Homotopic curves, The monodromytheorem, Branch points, Algebraic functions; Picard’s theorem: Lacunary values; The Reimannmapping theorem;The Dirichlet problem; Canonical mappings <strong>of</strong> multiply connected regions; Ellipticfunctions <strong>and</strong> Weierstrass Theory; Basic results on univalent functions; The range <strong>of</strong> analyticfunctions: Bloch’s theorem, Schottky’s theorem;Texts:1. L. Ahlfors: Complex Analysis, 2nd ed., McGraw-Hill,New York, 19662. Peter L Duren, Univalent Functions, Springer-VerlagReferences:1. J. B. Conway, Functions <strong>of</strong> One Complex variable-II, Springer-Verlag2. Boundary Behaviour <strong>of</strong> Conformal Maps, ChristainPommerenke, Springer3. Walter Rudin, Real <strong>and</strong> Complex Analysis, TataMcGraw-Hill, 2006(xiii) Fractals (MA6004):3-1-0: 4 Credits Prerequisite: Real AnalysisThe philosophy <strong>and</strong> scope <strong>of</strong> fractal geometry, Scaling <strong>and</strong> self-similarity, Hausdorff measure <strong>and</strong>dimensions, Box-counting dimensions, Techniques for calculating dimensions, Local structure <strong>and</strong>projections <strong>of</strong> fractals, The Thermodynamic Formalism: Pressure <strong>and</strong> Gibb’s measures, the dimensionformula, Invariant measures<strong>and</strong> the transfer operator, Entropy <strong>and</strong> the Variational principle; Theergodic theorem; The renewal theorem; Martingales <strong>and</strong> the convergence theorem, Bi-Lipschitz
equivalence <strong>of</strong> fractals; Multifractal Analysis; Applications <strong>of</strong> fractals: Iterated function systems (IFS)<strong>and</strong> Recurrent IFS, Applications to image compression, Julia sets <strong>and</strong> the M<strong>and</strong>elbrot set, R<strong>and</strong>omfractals, Brownian motion <strong>and</strong> R<strong>and</strong>om walks, Percolation, Fractal interpolation,Texts:1. K. Falconer, Fractal Geometry: Mathematical Foundations <strong>and</strong> Applications, John Wiley & Sons2. K. Falconer, Techniques in Fractal Geometry, John Wiley & Sons, 1997References:1. B. M<strong>and</strong>elbrot, Fractal Geometry <strong>of</strong> Nature, W.H. Freeman <strong>and</strong> Company.2. M. F. Barnsley, Fractals Everywhere , 2nd edition, Academic Press, 1995.3. Mattila , Geometry <strong>of</strong> Sets <strong>and</strong> Measures in Euclidean Spaces: Fractals <strong>and</strong> Rectifiability, CambridgeUniversity Press, 19994. Peitgen, Jurgens <strong>and</strong> Saupe, Chaos <strong>and</strong> Fractals: New Frontiers(xiv) Computational Topology (MA6005):3-1-0: 4 Credits Prerequisite: NilTopological space, subspace, base, subbase, continuous function, connectedness, paths, homotopy,homotopy <strong>of</strong> paths <strong>and</strong> homotopy <strong>of</strong> maps, simplicial complex, polyhedral, graphs, homology theory,computation <strong>of</strong> beti numbers.Texts:1. James R., Munkres, Topology, 2 nd Edition, Pearson Education.2. J Dugundji – Topology, PHI.3. J L Kelley –General Topology (Von Nostr<strong>and</strong>).References:1. G F Simmons – Introduction to Topology <strong>and</strong> Modern Analysis (McGraw Hill).2. Steen & Seebach – Counterexamples in Topology (Holden Day).3. S Willard –General Topology (Addison Wesley).(xv) Integral Equations <strong>and</strong> Variational Methods (MA6006):3-1-0: 4 Credits Prerequisite: Differential EquationsIntegral Equations: Basic concepts, Volterra integral equations, relationship between linear differentialequations <strong>and</strong> Volterra equations, resolvent kernel, method <strong>of</strong> successive approximations, convolutiontype equations, Volterra equations <strong>of</strong> first kind, Abels integral equation, Fredholm integral equations,Fredholm equations <strong>of</strong> the second kind, the method <strong>of</strong> Fredholm determinants, iterated kernels,integral equations with degenereted kernels, eigen values <strong>and</strong> eigen functions <strong>of</strong> a Fredholmalternative, construction <strong>of</strong> Green's function for BVP, singular integral equations.Calculus <strong>of</strong> variations: Euler-Lagrange equations, degenerate euler equations, Natural boundaryconditions, transversality conditions, simple applications <strong>of</strong> variational formulation <strong>of</strong> BVP, minimum<strong>of</strong> quadratic functional. Approximation methods-Galerkin's method, weighted-residual methods,Colloation methods.Variational methods for time dependent problems.Texts:1. A Jerri, Introduction to Integral Equations with Applications, Wiley.2. L. Elsgoltz, Differential Equations <strong>and</strong> Variational Calculus, Rubinos 1860; 4 Tra edition, 1996.3. F. G. Tricomi, Integral Equations, Dover Pub, 1985.
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